How Corporate Learning Will Change in 2026: Predictions from 18 L&D Experts
How Corporate Learning Will Change in 2026: Predictions from 18 L&D Experts
Insights on the trends shaping employee learning in 2026. Focused on practical shifts around performance, AI-enabled workflows, and what teams should prioritize next.
Insights on the trends shaping employee learning in 2026. Focused on practical shifts around performance, AI-enabled workflows, and what teams should prioritize next.

Art Maslow
Founder of Foxtery
Dec 17, 2025
9
min read
We gathered predictions for 2026 from leading L&D practitioners and experts who work with real teams and real constraints every day.
This piece is designed to be practical. Use it to sense-check your 2026 learning strategy, spot shifts that are already showing up across organizations, and identify ideas worth testing early rather than reacting later.
The insights here don’t come from theory or vendor hype, but from people who are actively designing, running, and fixing learning in fast-changing environments.
Below, you’ll find the key trends that consistently surfaced in these conversations, each paired with concrete recommendations you can apply in your own context.
1. Learning must respond to business change in real time
I’m 100% aligned with this trend and see it across almost every business we work with. Market change is forcing L&D to move faster than traditional systems allow. Egle Vinauskaite and Eveli Marconatto break down what this shift really involves and how learning systems are evolving to keep up with the pace of business.

Director and Strategic Advisor, AI in L&D at Nodes
The demand for employee support is increasing, not shrinking, because organisations are operating under sustained pressure to move faster and deliver results in volatile conditions. That pressure increases performance expectations and the pace of work, which changes what support people need on the job. AI is accelerating that shift and, in the process, exposing long-running gaps in how L&D supports learning and performance.
This creates an inflection point for employee training: employees increasingly expect support that is timely, targeted, and embedded in the work itself. When answers and guidance are available in the moment, patience is thin for anything that takes them out of the workflow. That is what forces a fundamental rethink of L&D’s value proposition: since the value of content has plummeted, what role should L&D play to keep adding value in the changing workplace?
Training is being reshaped at the intersection of humans, systems, and AI. Done well, it looks like skills built through real work, guided by intelligent support, and strengthened through human insight and connection. So the first move is not a new programme or tool, but getting clear on where employees need support and how L&D itself must evolve to enable it.

Director and Strategic Advisor, AI in L&D at Nodes
The demand for employee support is increasing, not shrinking, because organisations are operating under sustained pressure to move faster and deliver results in volatile conditions. That pressure increases performance expectations and the pace of work, which changes what support people need on the job. AI is accelerating that shift and, in the process, exposing long-running gaps in how L&D supports learning and performance.
This creates an inflection point for employee training: employees increasingly expect support that is timely, targeted, and embedded in the work itself. When answers and guidance are available in the moment, patience is thin for anything that takes them out of the workflow. That is what forces a fundamental rethink of L&D’s value proposition: since the value of content has plummeted, what role should L&D play to keep adding value in the changing workplace?
Training is being reshaped at the intersection of humans, systems, and AI. Done well, it looks like skills built through real work, guided by intelligent support, and strengthened through human insight and connection. So the first move is not a new programme or tool, but getting clear on where employees need support and how L&D itself must evolve to enable it.

Director and Strategic Advisor, AI in L&D at Nodes
The demand for employee support is increasing, not shrinking, because organisations are operating under sustained pressure to move faster and deliver results in volatile conditions. That pressure increases performance expectations and the pace of work, which changes what support people need on the job. AI is accelerating that shift and, in the process, exposing long-running gaps in how L&D supports learning and performance.
This creates an inflection point for employee training: employees increasingly expect support that is timely, targeted, and embedded in the work itself. When answers and guidance are available in the moment, patience is thin for anything that takes them out of the workflow. That is what forces a fundamental rethink of L&D’s value proposition: since the value of content has plummeted, what role should L&D play to keep adding value in the changing workplace?
Training is being reshaped at the intersection of humans, systems, and AI. Done well, it looks like skills built through real work, guided by intelligent support, and strengthened through human insight and connection. So the first move is not a new programme or tool, but getting clear on where employees need support and how L&D itself must evolve to enable it.

Director and Strategic Advisor, AI in L&D at Nodes
The demand for employee support is increasing, not shrinking, because organisations are operating under sustained pressure to move faster and deliver results in volatile conditions. That pressure increases performance expectations and the pace of work, which changes what support people need on the job. AI is accelerating that shift and, in the process, exposing long-running gaps in how L&D supports learning and performance.
This creates an inflection point for employee training: employees increasingly expect support that is timely, targeted, and embedded in the work itself. When answers and guidance are available in the moment, patience is thin for anything that takes them out of the workflow. That is what forces a fundamental rethink of L&D’s value proposition: since the value of content has plummeted, what role should L&D play to keep adding value in the changing workplace?
Training is being reshaped at the intersection of humans, systems, and AI. Done well, it looks like skills built through real work, guided by intelligent support, and strengthened through human insight and connection. So the first move is not a new programme or tool, but getting clear on where employees need support and how L&D itself must evolve to enable it.

Director and Strategic Advisor, AI in L&D at Nodes
The demand for employee support is increasing, not shrinking, because organisations are operating under sustained pressure to move faster and deliver results in volatile conditions. That pressure increases performance expectations and the pace of work, which changes what support people need on the job. AI is accelerating that shift and, in the process, exposing long-running gaps in how L&D supports learning and performance.
This creates an inflection point for employee training: employees increasingly expect support that is timely, targeted, and embedded in the work itself. When answers and guidance are available in the moment, patience is thin for anything that takes them out of the workflow. That is what forces a fundamental rethink of L&D’s value proposition: since the value of content has plummeted, what role should L&D play to keep adding value in the changing workplace?
Training is being reshaped at the intersection of humans, systems, and AI. Done well, it looks like skills built through real work, guided by intelligent support, and strengthened through human insight and connection. So the first move is not a new programme or tool, but getting clear on where employees need support and how L&D itself must evolve to enable it.

Head of Talent Development at Thoughtworks
Employee training in 2026 is less about additional content and more about unlearning outdated approaches that slow organizations down. The real shift is toward adaptive capability ecosystems, where learning, performance, and staffing respond to the business in real time.
Practically, L&D can focus on three moves next year:
Use AI to remove noise and drive precision. People don’t need more courses; they need clarity on the few capabilities that truly matter. AI can guide them with targeted, personalized learning paths grounded in real work.
Build real-time capability intelligence. Static frameworks won’t keep up. Companies are moving toward dynamic skills signals drawn from actual work, allowing L&D to detect emerging gaps early and prioritize learning that unlocks readiness and resilience.
Integrate learning into the work itself. AI agents, simulations, practice labs, and on-demand coaching help people learn and unlearn while delivering, not in isolated programs.
At Thoughtworks, we’re evolving toward a connected Talent Development ecosystem: AI-powered academies, dynamic capability insights, and a internal designed Talent Marketplace that connects skills with opportunity. The goal is simple, accelerate capability, reduce friction, and make learning a true business accelerator.

Head of Talent Development at Thoughtworks
Employee training in 2026 is less about additional content and more about unlearning outdated approaches that slow organizations down. The real shift is toward adaptive capability ecosystems, where learning, performance, and staffing respond to the business in real time.
Practically, L&D can focus on three moves next year:
Use AI to remove noise and drive precision. People don’t need more courses; they need clarity on the few capabilities that truly matter. AI can guide them with targeted, personalized learning paths grounded in real work.
Build real-time capability intelligence. Static frameworks won’t keep up. Companies are moving toward dynamic skills signals drawn from actual work, allowing L&D to detect emerging gaps early and prioritize learning that unlocks readiness and resilience.
Integrate learning into the work itself. AI agents, simulations, practice labs, and on-demand coaching help people learn and unlearn while delivering, not in isolated programs.
At Thoughtworks, we’re evolving toward a connected Talent Development ecosystem: AI-powered academies, dynamic capability insights, and a internal designed Talent Marketplace that connects skills with opportunity. The goal is simple, accelerate capability, reduce friction, and make learning a true business accelerator.

Head of Talent Development at Thoughtworks
Employee training in 2026 is less about additional content and more about unlearning outdated approaches that slow organizations down. The real shift is toward adaptive capability ecosystems, where learning, performance, and staffing respond to the business in real time.
Practically, L&D can focus on three moves next year:
Use AI to remove noise and drive precision. People don’t need more courses; they need clarity on the few capabilities that truly matter. AI can guide them with targeted, personalized learning paths grounded in real work.
Build real-time capability intelligence. Static frameworks won’t keep up. Companies are moving toward dynamic skills signals drawn from actual work, allowing L&D to detect emerging gaps early and prioritize learning that unlocks readiness and resilience.
Integrate learning into the work itself. AI agents, simulations, practice labs, and on-demand coaching help people learn and unlearn while delivering, not in isolated programs.
At Thoughtworks, we’re evolving toward a connected Talent Development ecosystem: AI-powered academies, dynamic capability insights, and a internal designed Talent Marketplace that connects skills with opportunity. The goal is simple, accelerate capability, reduce friction, and make learning a true business accelerator.

Head of Talent Development at Thoughtworks
Employee training in 2026 is less about additional content and more about unlearning outdated approaches that slow organizations down. The real shift is toward adaptive capability ecosystems, where learning, performance, and staffing respond to the business in real time.
Practically, L&D can focus on three moves next year:
Use AI to remove noise and drive precision. People don’t need more courses; they need clarity on the few capabilities that truly matter. AI can guide them with targeted, personalized learning paths grounded in real work.
Build real-time capability intelligence. Static frameworks won’t keep up. Companies are moving toward dynamic skills signals drawn from actual work, allowing L&D to detect emerging gaps early and prioritize learning that unlocks readiness and resilience.
Integrate learning into the work itself. AI agents, simulations, practice labs, and on-demand coaching help people learn and unlearn while delivering, not in isolated programs.
At Thoughtworks, we’re evolving toward a connected Talent Development ecosystem: AI-powered academies, dynamic capability insights, and a internal designed Talent Marketplace that connects skills with opportunity. The goal is simple, accelerate capability, reduce friction, and make learning a true business accelerator.

Head of Talent Development at Thoughtworks
Employee training in 2026 is less about additional content and more about unlearning outdated approaches that slow organizations down. The real shift is toward adaptive capability ecosystems, where learning, performance, and staffing respond to the business in real time.
Practically, L&D can focus on three moves next year:
Use AI to remove noise and drive precision. People don’t need more courses; they need clarity on the few capabilities that truly matter. AI can guide them with targeted, personalized learning paths grounded in real work.
Build real-time capability intelligence. Static frameworks won’t keep up. Companies are moving toward dynamic skills signals drawn from actual work, allowing L&D to detect emerging gaps early and prioritize learning that unlocks readiness and resilience.
Integrate learning into the work itself. AI agents, simulations, practice labs, and on-demand coaching help people learn and unlearn while delivering, not in isolated programs.
At Thoughtworks, we’re evolving toward a connected Talent Development ecosystem: AI-powered academies, dynamic capability insights, and a internal designed Talent Marketplace that connects skills with opportunity. The goal is simple, accelerate capability, reduce friction, and make learning a true business accelerator.
2. L&D shifts from content production to performance impact
One of the clearest shifts in L&D is the growing expectation that learning directly improves team performance. This pressure isn’t new, but AI is making it impossible to hide behind activity without impact.
The experts below share how they’re approaching this shift in practice, from reverse-engineering learning from performance to building AI-supported performance loops and reinforcing the strategic value of L&D.

Founder of Learning & Development Mentor Academy
Employee training in 2026 is moving toward capability acceleration which is helping people to perform better on the job, not just complete learning activities.
The biggest shift L&D teams will experience is the need to design backward from moment of performance. This is because AI is good-ish at creating content but, the real value is when L&D professionals help employees perform better.
So, instead of starting with the question “What do employees need to know?” We need to ask ourselves, “What does the employee need to do on Tuesday at 10:15 a.m.?” We need to start there, and then let everything else support that action from our design to our delivery of instruction.
Part of this will be an increase in AI-powered practice opportunities. So instead of a one-and-done eLearning course, employees will engage in ongoing, bite-sized rehearsals: tough conversation simulators, objection-handling microlearning, AI-powered coaching dialogs, and situational scenarios that adapt to the employees’ choices dynamically. Think of it as going from “training event” to “training gym” where the employees receive multiple reps, not a single exposure.
And L&D teams will increasingly use AI to scale scenario creation which will be part of the AI practice regime. L&D teams will craft realistic situations with different types of customer characters or peer characters, different contexts, and various constraints. Employees will learn how to face the kind of complexity that they encounter at work and get directed, critical feedback on how to respond. This means more personalization, more relevance, and more opportunities to practice judgment.
In 2026, the winning L&D groups won’t ask, “What content should we deliver?” Instead, they’ll ask, “What capability must this person demonstrate, and how do we help them practice that capability until it sticks?”

Founder of Learning & Development Mentor Academy
Employee training in 2026 is moving toward capability acceleration which is helping people to perform better on the job, not just complete learning activities.
The biggest shift L&D teams will experience is the need to design backward from moment of performance. This is because AI is good-ish at creating content but, the real value is when L&D professionals help employees perform better.
So, instead of starting with the question “What do employees need to know?” We need to ask ourselves, “What does the employee need to do on Tuesday at 10:15 a.m.?” We need to start there, and then let everything else support that action from our design to our delivery of instruction.
Part of this will be an increase in AI-powered practice opportunities. So instead of a one-and-done eLearning course, employees will engage in ongoing, bite-sized rehearsals: tough conversation simulators, objection-handling microlearning, AI-powered coaching dialogs, and situational scenarios that adapt to the employees’ choices dynamically. Think of it as going from “training event” to “training gym” where the employees receive multiple reps, not a single exposure.
And L&D teams will increasingly use AI to scale scenario creation which will be part of the AI practice regime. L&D teams will craft realistic situations with different types of customer characters or peer characters, different contexts, and various constraints. Employees will learn how to face the kind of complexity that they encounter at work and get directed, critical feedback on how to respond. This means more personalization, more relevance, and more opportunities to practice judgment.
In 2026, the winning L&D groups won’t ask, “What content should we deliver?” Instead, they’ll ask, “What capability must this person demonstrate, and how do we help them practice that capability until it sticks?”

Founder of Learning & Development Mentor Academy
Employee training in 2026 is moving toward capability acceleration which is helping people to perform better on the job, not just complete learning activities.
The biggest shift L&D teams will experience is the need to design backward from moment of performance. This is because AI is good-ish at creating content but, the real value is when L&D professionals help employees perform better.
So, instead of starting with the question “What do employees need to know?” We need to ask ourselves, “What does the employee need to do on Tuesday at 10:15 a.m.?” We need to start there, and then let everything else support that action from our design to our delivery of instruction.
Part of this will be an increase in AI-powered practice opportunities. So instead of a one-and-done eLearning course, employees will engage in ongoing, bite-sized rehearsals: tough conversation simulators, objection-handling microlearning, AI-powered coaching dialogs, and situational scenarios that adapt to the employees’ choices dynamically. Think of it as going from “training event” to “training gym” where the employees receive multiple reps, not a single exposure.
And L&D teams will increasingly use AI to scale scenario creation which will be part of the AI practice regime. L&D teams will craft realistic situations with different types of customer characters or peer characters, different contexts, and various constraints. Employees will learn how to face the kind of complexity that they encounter at work and get directed, critical feedback on how to respond. This means more personalization, more relevance, and more opportunities to practice judgment.
In 2026, the winning L&D groups won’t ask, “What content should we deliver?” Instead, they’ll ask, “What capability must this person demonstrate, and how do we help them practice that capability until it sticks?”

Founder of Learning & Development Mentor Academy
Employee training in 2026 is moving toward capability acceleration which is helping people to perform better on the job, not just complete learning activities.
The biggest shift L&D teams will experience is the need to design backward from moment of performance. This is because AI is good-ish at creating content but, the real value is when L&D professionals help employees perform better.
So, instead of starting with the question “What do employees need to know?” We need to ask ourselves, “What does the employee need to do on Tuesday at 10:15 a.m.?” We need to start there, and then let everything else support that action from our design to our delivery of instruction.
Part of this will be an increase in AI-powered practice opportunities. So instead of a one-and-done eLearning course, employees will engage in ongoing, bite-sized rehearsals: tough conversation simulators, objection-handling microlearning, AI-powered coaching dialogs, and situational scenarios that adapt to the employees’ choices dynamically. Think of it as going from “training event” to “training gym” where the employees receive multiple reps, not a single exposure.
And L&D teams will increasingly use AI to scale scenario creation which will be part of the AI practice regime. L&D teams will craft realistic situations with different types of customer characters or peer characters, different contexts, and various constraints. Employees will learn how to face the kind of complexity that they encounter at work and get directed, critical feedback on how to respond. This means more personalization, more relevance, and more opportunities to practice judgment.
In 2026, the winning L&D groups won’t ask, “What content should we deliver?” Instead, they’ll ask, “What capability must this person demonstrate, and how do we help them practice that capability until it sticks?”

CEO of The Learning and Performance Institute (LPI)
Employee training in 2026 will shift decisively from content delivery to performance enablement. Organisations are finally recognising that learning is only valuable when it improves what people can do, not just what they know. The big change next year will be the move towards AI-supported performance loops: continuous, real-time guidance embedded into the flow of work. Rather than sending people on a course, L&D teams will deploy AI agents that coach employees through tasks, provide feedback, and surface resources the moment they are needed.
We will also see a stronger emphasis on learnership, which means nurturing the mindsets and behaviours that help employees adapt quickly. The corporate world changes constantly, consequently the real competitive advantage is building a workforce that experiments, reflects, and applies learning faster than competitors. For L&D, this means creating environments where curiosity is rewarded, not contained.
Practically, organisations can prepare by:
• Mapping critical skills and linking them to measurable performance outcomes.
• Piloting AI agents that guide frontline tasks or support new managers.
• Replacing annual training plans with quarterly, data-led performance reviews.
• Giving teams access to high-quality practice environments such as simulations, sandboxes, and scenario-based coaching.
2026 will reward L&D teams who stop chasing content and start architecting capability.

CEO of The Learning and Performance Institute (LPI)
Employee training in 2026 will shift decisively from content delivery to performance enablement. Organisations are finally recognising that learning is only valuable when it improves what people can do, not just what they know. The big change next year will be the move towards AI-supported performance loops: continuous, real-time guidance embedded into the flow of work. Rather than sending people on a course, L&D teams will deploy AI agents that coach employees through tasks, provide feedback, and surface resources the moment they are needed.
We will also see a stronger emphasis on learnership, which means nurturing the mindsets and behaviours that help employees adapt quickly. The corporate world changes constantly, consequently the real competitive advantage is building a workforce that experiments, reflects, and applies learning faster than competitors. For L&D, this means creating environments where curiosity is rewarded, not contained.
Practically, organisations can prepare by:
• Mapping critical skills and linking them to measurable performance outcomes.
• Piloting AI agents that guide frontline tasks or support new managers.
• Replacing annual training plans with quarterly, data-led performance reviews.
• Giving teams access to high-quality practice environments such as simulations, sandboxes, and scenario-based coaching.
2026 will reward L&D teams who stop chasing content and start architecting capability.

CEO of The Learning and Performance Institute (LPI)
Employee training in 2026 will shift decisively from content delivery to performance enablement. Organisations are finally recognising that learning is only valuable when it improves what people can do, not just what they know. The big change next year will be the move towards AI-supported performance loops: continuous, real-time guidance embedded into the flow of work. Rather than sending people on a course, L&D teams will deploy AI agents that coach employees through tasks, provide feedback, and surface resources the moment they are needed.
We will also see a stronger emphasis on learnership, which means nurturing the mindsets and behaviours that help employees adapt quickly. The corporate world changes constantly, consequently the real competitive advantage is building a workforce that experiments, reflects, and applies learning faster than competitors. For L&D, this means creating environments where curiosity is rewarded, not contained.
Practically, organisations can prepare by:
• Mapping critical skills and linking them to measurable performance outcomes.
• Piloting AI agents that guide frontline tasks or support new managers.
• Replacing annual training plans with quarterly, data-led performance reviews.
• Giving teams access to high-quality practice environments such as simulations, sandboxes, and scenario-based coaching.
2026 will reward L&D teams who stop chasing content and start architecting capability.

CEO of The Learning and Performance Institute (LPI)
Employee training in 2026 will shift decisively from content delivery to performance enablement. Organisations are finally recognising that learning is only valuable when it improves what people can do, not just what they know. The big change next year will be the move towards AI-supported performance loops: continuous, real-time guidance embedded into the flow of work. Rather than sending people on a course, L&D teams will deploy AI agents that coach employees through tasks, provide feedback, and surface resources the moment they are needed.
We will also see a stronger emphasis on learnership, which means nurturing the mindsets and behaviours that help employees adapt quickly. The corporate world changes constantly, consequently the real competitive advantage is building a workforce that experiments, reflects, and applies learning faster than competitors. For L&D, this means creating environments where curiosity is rewarded, not contained.
Practically, organisations can prepare by:
• Mapping critical skills and linking them to measurable performance outcomes.
• Piloting AI agents that guide frontline tasks or support new managers.
• Replacing annual training plans with quarterly, data-led performance reviews.
• Giving teams access to high-quality practice environments such as simulations, sandboxes, and scenario-based coaching.
2026 will reward L&D teams who stop chasing content and start architecting capability.

Learning Consultant at Nationwide
In 2026, the most effective training won’t feel like “taking a course” at all. It will feel like tiny, timely prompts that shape what people do in the moment.
In my cybersecurity work at Nationwide, our biggest wins didn’t come from longer modules. They came from doubling down on a few specific habits: pause before reacting, verify anything unexpected, report suspicious stuff fast. When we reinforced those in people’s actual workflow — rather than in a forgotten LMS assignment — we saw real movement.
That’s the shift I expect to see more of next year. Smart L&D teams will stop betting everything on big launches and start thinking like marketers. Not one huge event, but lots of small, well-placed touches across the tools people already live in.
Think 15-second loops in Teams, quick “is this safe?” checklists in SharePoint, micro-scenarios delivered by email modeled on actual threats, and GIF-based nudges that ride along with everyday work.
This style of training protects attention instead of abusing it. It also builds repetition without feeling repetitive. The LMS can still be the library of record — but the real action will happen where decisions are made, one small behavior at a time.

Co-Founder & Learning Architect at Offbeat
When it comes to learning design, L&D teams need to think of 2 things.
On one hand, how can they employ AI in a manner that supports learning in the flow of work? This means moving beyond using GenAI for content creation and up the value stream of AI.
On the other hand, how will they start redesigning live, synchronous sessions that focus on sense-making, connection, and practice, rather than content? Content alone is what drives down the engagement in live sessions, and belonging & connection is what they can deliver in a world more and more digital.
These two, combined, will support the L&D teams in serving their organizations in a thoughtful, relevant manner in 2026 and beyond.
3. Learning moves into daily tools and workflows
Another clear shift is where learning actually happens. As work speeds up and attention gets scarcer, pulling people out of their tools for “training” is becoming less effective.
The two experts below approach this from different angles. Mike Taylor shows how embedding small learning moments directly into daily workflows drives real behavior change. Lavinia Mehedințu looks at how L&D can combine learning in the flow of work with redesigned live sessions.

Learning Consultant at Nationwide
In 2026, the most effective training won’t feel like “taking a course” at all. It will feel like tiny, timely prompts that shape what people do in the moment.
In my cybersecurity work at Nationwide, our biggest wins didn’t come from longer modules. They came from doubling down on a few specific habits: pause before reacting, verify anything unexpected, report suspicious stuff fast. When we reinforced those in people’s actual workflow — rather than in a forgotten LMS assignment — we saw real movement.
That’s the shift I expect to see more of next year. Smart L&D teams will stop betting everything on big launches and start thinking like marketers. Not one huge event, but lots of small, well-placed touches across the tools people already live in.
Think 15-second loops in Teams, quick “is this safe?” checklists in SharePoint, micro-scenarios delivered by email modeled on actual threats, and GIF-based nudges that ride along with everyday work.
This style of training protects attention instead of abusing it. It also builds repetition without feeling repetitive. The LMS can still be the library of record — but the real action will happen where decisions are made, one small behavior at a time.

Learning Consultant at Nationwide
In 2026, the most effective training won’t feel like “taking a course” at all. It will feel like tiny, timely prompts that shape what people do in the moment.
In my cybersecurity work at Nationwide, our biggest wins didn’t come from longer modules. They came from doubling down on a few specific habits: pause before reacting, verify anything unexpected, report suspicious stuff fast. When we reinforced those in people’s actual workflow — rather than in a forgotten LMS assignment — we saw real movement.
That’s the shift I expect to see more of next year. Smart L&D teams will stop betting everything on big launches and start thinking like marketers. Not one huge event, but lots of small, well-placed touches across the tools people already live in.
Think 15-second loops in Teams, quick “is this safe?” checklists in SharePoint, micro-scenarios delivered by email modeled on actual threats, and GIF-based nudges that ride along with everyday work.
This style of training protects attention instead of abusing it. It also builds repetition without feeling repetitive. The LMS can still be the library of record — but the real action will happen where decisions are made, one small behavior at a time.

Learning Consultant at Nationwide
In 2026, the most effective training won’t feel like “taking a course” at all. It will feel like tiny, timely prompts that shape what people do in the moment.
In my cybersecurity work at Nationwide, our biggest wins didn’t come from longer modules. They came from doubling down on a few specific habits: pause before reacting, verify anything unexpected, report suspicious stuff fast. When we reinforced those in people’s actual workflow — rather than in a forgotten LMS assignment — we saw real movement.
That’s the shift I expect to see more of next year. Smart L&D teams will stop betting everything on big launches and start thinking like marketers. Not one huge event, but lots of small, well-placed touches across the tools people already live in.
Think 15-second loops in Teams, quick “is this safe?” checklists in SharePoint, micro-scenarios delivered by email modeled on actual threats, and GIF-based nudges that ride along with everyday work.
This style of training protects attention instead of abusing it. It also builds repetition without feeling repetitive. The LMS can still be the library of record — but the real action will happen where decisions are made, one small behavior at a time.

Learning Consultant at Nationwide
In 2026, the most effective training won’t feel like “taking a course” at all. It will feel like tiny, timely prompts that shape what people do in the moment.
In my cybersecurity work at Nationwide, our biggest wins didn’t come from longer modules. They came from doubling down on a few specific habits: pause before reacting, verify anything unexpected, report suspicious stuff fast. When we reinforced those in people’s actual workflow — rather than in a forgotten LMS assignment — we saw real movement.
That’s the shift I expect to see more of next year. Smart L&D teams will stop betting everything on big launches and start thinking like marketers. Not one huge event, but lots of small, well-placed touches across the tools people already live in.
Think 15-second loops in Teams, quick “is this safe?” checklists in SharePoint, micro-scenarios delivered by email modeled on actual threats, and GIF-based nudges that ride along with everyday work.
This style of training protects attention instead of abusing it. It also builds repetition without feeling repetitive. The LMS can still be the library of record — but the real action will happen where decisions are made, one small behavior at a time.

Co-Founder & Learning Architect at Offbeat
When it comes to learning design, L&D teams need to think of 2 things.
On one hand, how can they employ AI in a manner that supports learning in the flow of work? This means moving beyond using GenAI for content creation and up the value stream of AI.
On the other hand, how will they start redesigning live, synchronous sessions that focus on sense-making, connection, and practice, rather than content? Content alone is what drives down the engagement in live sessions, and belonging & connection is what they can deliver in a world more and more digital.
These two, combined, will support the L&D teams in serving their organizations in a thoughtful, relevant manner in 2026 and beyond.

Co-Founder & Learning Architect at Offbeat
When it comes to learning design, L&D teams need to think of 2 things.
On one hand, how can they employ AI in a manner that supports learning in the flow of work? This means moving beyond using GenAI for content creation and up the value stream of AI.
On the other hand, how will they start redesigning live, synchronous sessions that focus on sense-making, connection, and practice, rather than content? Content alone is what drives down the engagement in live sessions, and belonging & connection is what they can deliver in a world more and more digital.
These two, combined, will support the L&D teams in serving their organizations in a thoughtful, relevant manner in 2026 and beyond.

Co-Founder & Learning Architect at Offbeat
When it comes to learning design, L&D teams need to think of 2 things.
On one hand, how can they employ AI in a manner that supports learning in the flow of work? This means moving beyond using GenAI for content creation and up the value stream of AI.
On the other hand, how will they start redesigning live, synchronous sessions that focus on sense-making, connection, and practice, rather than content? Content alone is what drives down the engagement in live sessions, and belonging & connection is what they can deliver in a world more and more digital.
These two, combined, will support the L&D teams in serving their organizations in a thoughtful, relevant manner in 2026 and beyond.

Co-Founder & Learning Architect at Offbeat
When it comes to learning design, L&D teams need to think of 2 things.
On one hand, how can they employ AI in a manner that supports learning in the flow of work? This means moving beyond using GenAI for content creation and up the value stream of AI.
On the other hand, how will they start redesigning live, synchronous sessions that focus on sense-making, connection, and practice, rather than content? Content alone is what drives down the engagement in live sessions, and belonging & connection is what they can deliver in a world more and more digital.
These two, combined, will support the L&D teams in serving their organizations in a thoughtful, relevant manner in 2026 and beyond.

Co-Founder of HRissan
In 2026, corporate learning is moving toward hyper-personalized, near real-time development, powered by AI. We’re leaving behind one-size-fits-all programs: every employee will have a dynamic growth plan generated by models that understand their performance, skill gaps, and career aspirations, and translate that into concrete recommendations — courses, stretch projects, and next career steps.
This creates a practical opportunity for L&D teams: automate curation, integrate performance data, and build dashboards that continuously update each person’s learning path. AI stops being an experiment and becomes the engine that orchestrates the entire learning ecosystem.
Tools like NotebookLM already allow teams to centralize content from different sources and formats to accelerate research, study, and internal content creation. This dramatically shortens production cycles and enables learning programs to be refreshed far more frequently.
The real challenge won’t be the technology — it will be operationalizing it: moving from theory to rapid pilots, measuring impact, and scaling what works. Organizations that do this in 2025–2026 will turn learning into a living, adaptive system fully aligned with business goals.

Training and Development Leader at Golden Aluminum
Employee training in 2026 is shifting toward role-specific, data-informed development. Generic training simply won’t meet the expectations of a workforce that wants clarity, purpose, and real opportunities to grow. L&D teams will increasingly design programs around what the role truly requires, using job analysis, task inventories, and operational data to ensure training reflects the actual work — not assumptions about it.
We’ll also see the Job Characteristics Model come back into focus. With the next generation placing high value on growth and mastery, “learning and development opportunities” will become a core part of job design and a key lever for motivation and retention.
At the same time, AI is reshaping tasks faster than people can adapt. That’s why 2026 will prioritize human-centered upskilling — building not just technical proficiency but the skills that keep employees adaptable and effective. This includes emotional intelligence, communication, and everyday leadership skills, which are becoming essential as teams navigate rapid change, cross-functional work, and more complex systems.
At Golden Aluminum, we’re evolving in this direction by grounding training in true role clarity, using data to inform improvements, and expanding development pathways that help people grow in both capability and confidence as their work evolves.
4. Learning programs shift from generic to role-based
As expectations for performance rise and learning moves into the flow of work, another shift becomes unavoidable: matching what you teach to who you’re teaching with much greater precision.
In a world of information overload, AI helps L&D act as a filter, giving people exactly what they need for their role and moment. Guido Risso and Danielle Suprick explain why this is becoming critical.

Co-Founder of HRissan
In 2026, corporate learning is moving toward hyper-personalized, near real-time development, powered by AI. We’re leaving behind one-size-fits-all programs: every employee will have a dynamic growth plan generated by models that understand their performance, skill gaps, and career aspirations, and translate that into concrete recommendations — courses, stretch projects, and next career steps.
This creates a practical opportunity for L&D teams: automate curation, integrate performance data, and build dashboards that continuously update each person’s learning path. AI stops being an experiment and becomes the engine that orchestrates the entire learning ecosystem.
Tools like NotebookLM already allow teams to centralize content from different sources and formats to accelerate research, study, and internal content creation. This dramatically shortens production cycles and enables learning programs to be refreshed far more frequently.
The real challenge won’t be the technology — it will be operationalizing it: moving from theory to rapid pilots, measuring impact, and scaling what works. Organizations that do this in 2025–2026 will turn learning into a living, adaptive system fully aligned with business goals.

Co-Founder of HRissan
In 2026, corporate learning is moving toward hyper-personalized, near real-time development, powered by AI. We’re leaving behind one-size-fits-all programs: every employee will have a dynamic growth plan generated by models that understand their performance, skill gaps, and career aspirations, and translate that into concrete recommendations — courses, stretch projects, and next career steps.
This creates a practical opportunity for L&D teams: automate curation, integrate performance data, and build dashboards that continuously update each person’s learning path. AI stops being an experiment and becomes the engine that orchestrates the entire learning ecosystem.
Tools like NotebookLM already allow teams to centralize content from different sources and formats to accelerate research, study, and internal content creation. This dramatically shortens production cycles and enables learning programs to be refreshed far more frequently.
The real challenge won’t be the technology — it will be operationalizing it: moving from theory to rapid pilots, measuring impact, and scaling what works. Organizations that do this in 2025–2026 will turn learning into a living, adaptive system fully aligned with business goals.

Co-Founder of HRissan
In 2026, corporate learning is moving toward hyper-personalized, near real-time development, powered by AI. We’re leaving behind one-size-fits-all programs: every employee will have a dynamic growth plan generated by models that understand their performance, skill gaps, and career aspirations, and translate that into concrete recommendations — courses, stretch projects, and next career steps.
This creates a practical opportunity for L&D teams: automate curation, integrate performance data, and build dashboards that continuously update each person’s learning path. AI stops being an experiment and becomes the engine that orchestrates the entire learning ecosystem.
Tools like NotebookLM already allow teams to centralize content from different sources and formats to accelerate research, study, and internal content creation. This dramatically shortens production cycles and enables learning programs to be refreshed far more frequently.
The real challenge won’t be the technology — it will be operationalizing it: moving from theory to rapid pilots, measuring impact, and scaling what works. Organizations that do this in 2025–2026 will turn learning into a living, adaptive system fully aligned with business goals.

Co-Founder of HRissan
In 2026, corporate learning is moving toward hyper-personalized, near real-time development, powered by AI. We’re leaving behind one-size-fits-all programs: every employee will have a dynamic growth plan generated by models that understand their performance, skill gaps, and career aspirations, and translate that into concrete recommendations — courses, stretch projects, and next career steps.
This creates a practical opportunity for L&D teams: automate curation, integrate performance data, and build dashboards that continuously update each person’s learning path. AI stops being an experiment and becomes the engine that orchestrates the entire learning ecosystem.
Tools like NotebookLM already allow teams to centralize content from different sources and formats to accelerate research, study, and internal content creation. This dramatically shortens production cycles and enables learning programs to be refreshed far more frequently.
The real challenge won’t be the technology — it will be operationalizing it: moving from theory to rapid pilots, measuring impact, and scaling what works. Organizations that do this in 2025–2026 will turn learning into a living, adaptive system fully aligned with business goals.

Training and Development Leader at Golden Aluminum
Employee training in 2026 is shifting toward role-specific, data-informed development. Generic training simply won’t meet the expectations of a workforce that wants clarity, purpose, and real opportunities to grow. L&D teams will increasingly design programs around what the role truly requires, using job analysis, task inventories, and operational data to ensure training reflects the actual work — not assumptions about it.
We’ll also see the Job Characteristics Model come back into focus. With the next generation placing high value on growth and mastery, “learning and development opportunities” will become a core part of job design and a key lever for motivation and retention.
At the same time, AI is reshaping tasks faster than people can adapt. That’s why 2026 will prioritize human-centered upskilling — building not just technical proficiency but the skills that keep employees adaptable and effective. This includes emotional intelligence, communication, and everyday leadership skills, which are becoming essential as teams navigate rapid change, cross-functional work, and more complex systems.
At Golden Aluminum, we’re evolving in this direction by grounding training in true role clarity, using data to inform improvements, and expanding development pathways that help people grow in both capability and confidence as their work evolves.

Training and Development Leader at Golden Aluminum
Employee training in 2026 is shifting toward role-specific, data-informed development. Generic training simply won’t meet the expectations of a workforce that wants clarity, purpose, and real opportunities to grow. L&D teams will increasingly design programs around what the role truly requires, using job analysis, task inventories, and operational data to ensure training reflects the actual work — not assumptions about it.
We’ll also see the Job Characteristics Model come back into focus. With the next generation placing high value on growth and mastery, “learning and development opportunities” will become a core part of job design and a key lever for motivation and retention.
At the same time, AI is reshaping tasks faster than people can adapt. That’s why 2026 will prioritize human-centered upskilling — building not just technical proficiency but the skills that keep employees adaptable and effective. This includes emotional intelligence, communication, and everyday leadership skills, which are becoming essential as teams navigate rapid change, cross-functional work, and more complex systems.
At Golden Aluminum, we’re evolving in this direction by grounding training in true role clarity, using data to inform improvements, and expanding development pathways that help people grow in both capability and confidence as their work evolves.

Training and Development Leader at Golden Aluminum
Employee training in 2026 is shifting toward role-specific, data-informed development. Generic training simply won’t meet the expectations of a workforce that wants clarity, purpose, and real opportunities to grow. L&D teams will increasingly design programs around what the role truly requires, using job analysis, task inventories, and operational data to ensure training reflects the actual work — not assumptions about it.
We’ll also see the Job Characteristics Model come back into focus. With the next generation placing high value on growth and mastery, “learning and development opportunities” will become a core part of job design and a key lever for motivation and retention.
At the same time, AI is reshaping tasks faster than people can adapt. That’s why 2026 will prioritize human-centered upskilling — building not just technical proficiency but the skills that keep employees adaptable and effective. This includes emotional intelligence, communication, and everyday leadership skills, which are becoming essential as teams navigate rapid change, cross-functional work, and more complex systems.
At Golden Aluminum, we’re evolving in this direction by grounding training in true role clarity, using data to inform improvements, and expanding development pathways that help people grow in both capability and confidence as their work evolves.

Training and Development Leader at Golden Aluminum
Employee training in 2026 is shifting toward role-specific, data-informed development. Generic training simply won’t meet the expectations of a workforce that wants clarity, purpose, and real opportunities to grow. L&D teams will increasingly design programs around what the role truly requires, using job analysis, task inventories, and operational data to ensure training reflects the actual work — not assumptions about it.
We’ll also see the Job Characteristics Model come back into focus. With the next generation placing high value on growth and mastery, “learning and development opportunities” will become a core part of job design and a key lever for motivation and retention.
At the same time, AI is reshaping tasks faster than people can adapt. That’s why 2026 will prioritize human-centered upskilling — building not just technical proficiency but the skills that keep employees adaptable and effective. This includes emotional intelligence, communication, and everyday leadership skills, which are becoming essential as teams navigate rapid change, cross-functional work, and more complex systems.
At Golden Aluminum, we’re evolving in this direction by grounding training in true role clarity, using data to inform improvements, and expanding development pathways that help people grow in both capability and confidence as their work evolves.

Learning Director at Elev-8 Performance
AI will speed up a huge amount of L&D in 2026, but the real differentiator will still be human connection.
Organisations will win through leaders who bring clarity, meaning, accountable freedom, coach effectively and shape a team climate where people actually want to perform.
AI can enhance this, but it can’t lead it.
There’s still a human code that matters - the everyday behaviours that build trust, safety and momentum. Crack that code, and AI becomes an accelerator, not a replacement, for performance.
5. Skills-to-KPI learning systems can drive higher effectiveness
If you’re thinking about how upskilling will actually work in 2026, this reflects a direction many teams are already moving toward. Mirko Corallini walks through how to structure learning around skills, how to implement it step by step, and how to connect it directly to performance and business results.

Training Manager at Perk
2026 should focus on improving AI support and reducing time to proficiency, centered around three macro areas:
1. Skill-based system for performance KPIs
Move from role-based to skills-based learning tied to performance results.
AI should generate personalized learning paths by accessing employee performance data through integrations (e.g., ZenDesk), or via a dedicated space in Foxtery for managers to upload performance overviews.
Introduce Student and Manager Dashboards in the reporting area to display skills, progress, and correlation with learning needs, aiming to reduce errors through targeted training.
AI should measure pre- vs post-training KPIs, recommending goal-based content only when it improves performance outcomes.
Add metric-achievement badges that unlock levels or rewards to increase motivation and potentially get benefits.
2. Content that cuts training time and creates engagement
Develop micro- and nano-learning templates/formats using quick videos and social-media-style feeds to boost engagement and reduce time away from work.
Enhance simulators and scenario templates (e.g., mock WhatsApp chats, client calls) for realistic skill practice.
Provide templates of cheat sheets and checklists that are visually clear and lightweight, especially useful during peak business periods.
3. All-in-one LMS experience
Reduce reliance on extra tools by expanding the LMS to support HR, Sales, CC, and Community teams.
Include badges for HR career progression
Add gamification features to sustain engagement

Training Manager at Perk
2026 should focus on improving AI support and reducing time to proficiency, centered around three macro areas:
1. Skill-based system for performance KPIs
Move from role-based to skills-based learning tied to performance results.
AI should generate personalized learning paths by accessing employee performance data through integrations (e.g., ZenDesk), or via a dedicated space in Foxtery for managers to upload performance overviews.
Introduce Student and Manager Dashboards in the reporting area to display skills, progress, and correlation with learning needs, aiming to reduce errors through targeted training.
AI should measure pre- vs post-training KPIs, recommending goal-based content only when it improves performance outcomes.
Add metric-achievement badges that unlock levels or rewards to increase motivation and potentially get benefits.
2. Content that cuts training time and creates engagement
Develop micro- and nano-learning templates/formats using quick videos and social-media-style feeds to boost engagement and reduce time away from work.
Enhance simulators and scenario templates (e.g., mock WhatsApp chats, client calls) for realistic skill practice.
Provide templates of cheat sheets and checklists that are visually clear and lightweight, especially useful during peak business periods.
3. All-in-one LMS experience
Reduce reliance on extra tools by expanding the LMS to support HR, Sales, CC, and Community teams.
Include badges for HR career progression
Add gamification features to sustain engagement

Training Manager at Perk
2026 should focus on improving AI support and reducing time to proficiency, centered around three macro areas:
1. Skill-based system for performance KPIs
Move from role-based to skills-based learning tied to performance results.
AI should generate personalized learning paths by accessing employee performance data through integrations (e.g., ZenDesk), or via a dedicated space in Foxtery for managers to upload performance overviews.
Introduce Student and Manager Dashboards in the reporting area to display skills, progress, and correlation with learning needs, aiming to reduce errors through targeted training.
AI should measure pre- vs post-training KPIs, recommending goal-based content only when it improves performance outcomes.
Add metric-achievement badges that unlock levels or rewards to increase motivation and potentially get benefits.
2. Content that cuts training time and creates engagement
Develop micro- and nano-learning templates/formats using quick videos and social-media-style feeds to boost engagement and reduce time away from work.
Enhance simulators and scenario templates (e.g., mock WhatsApp chats, client calls) for realistic skill practice.
Provide templates of cheat sheets and checklists that are visually clear and lightweight, especially useful during peak business periods.
3. All-in-one LMS experience
Reduce reliance on extra tools by expanding the LMS to support HR, Sales, CC, and Community teams.
Include badges for HR career progression
Add gamification features to sustain engagement

Training Manager at Perk
2026 should focus on improving AI support and reducing time to proficiency, centered around three macro areas:
1. Skill-based system for performance KPIs
Move from role-based to skills-based learning tied to performance results.
AI should generate personalized learning paths by accessing employee performance data through integrations (e.g., ZenDesk), or via a dedicated space in Foxtery for managers to upload performance overviews.
Introduce Student and Manager Dashboards in the reporting area to display skills, progress, and correlation with learning needs, aiming to reduce errors through targeted training.
AI should measure pre- vs post-training KPIs, recommending goal-based content only when it improves performance outcomes.
Add metric-achievement badges that unlock levels or rewards to increase motivation and potentially get benefits.
2. Content that cuts training time and creates engagement
Develop micro- and nano-learning templates/formats using quick videos and social-media-style feeds to boost engagement and reduce time away from work.
Enhance simulators and scenario templates (e.g., mock WhatsApp chats, client calls) for realistic skill practice.
Provide templates of cheat sheets and checklists that are visually clear and lightweight, especially useful during peak business periods.
3. All-in-one LMS experience
Reduce reliance on extra tools by expanding the LMS to support HR, Sales, CC, and Community teams.
Include badges for HR career progression
Add gamification features to sustain engagement

Director of Business Development at Harrison Assessments
Organizations must identify employees who demonstrate learning agility. Retaining and developing those should become the priority. These high-potential individuals will yield the greatest long-term return on investment during the era of AI and upskilling requirements.
6. AI becomes a force multiplier for L&D teams
More teams will start using AI far beyond content creation. Heidi Kirby explains how this can significantly boost L&D teams when AI is used to support real work and performance, while Christy Tucker points out that for most organizations this shift will still happen gradually, as adoption rarely moves as fast as the technology itself.

Founder of Useful Stuff
Employee training in 2026 is at a pivotal crossroads, as jobs and teams in L&D are shrinking rapidly.
The chasm will increase between ineffective, underskilled teams who use outdated tools that take months to produce slide-based courses and teams that quickly create moments to guide performance in the ecosystems where employees already work.
The feedback from our audience and leadership is clear: they don't want more courses.
The best teams will be building employee training that can update often and be easily found. Think short videos, job aids embedded in workflows, AI chat assistance, and reusable communication templates.
SMEs using generative AI will continue to replace wasteful teams that have eroded trust with stakeholders.
However, modern teams will treat AI like a thought partner or efficiency multiplier, instead of a content creator, and this will allow them to become a force.
2026 is the year every person in this industry will need to decide if they want to support an outdated system at their own risk or move ahead confidently into uncharted territory.
From content-led L&D to experiment-led L&D.

Founder of Useful Stuff
Employee training in 2026 is at a pivotal crossroads, as jobs and teams in L&D are shrinking rapidly.
The chasm will increase between ineffective, underskilled teams who use outdated tools that take months to produce slide-based courses and teams that quickly create moments to guide performance in the ecosystems where employees already work.
The feedback from our audience and leadership is clear: they don't want more courses.
The best teams will be building employee training that can update often and be easily found. Think short videos, job aids embedded in workflows, AI chat assistance, and reusable communication templates.
SMEs using generative AI will continue to replace wasteful teams that have eroded trust with stakeholders.
However, modern teams will treat AI like a thought partner or efficiency multiplier, instead of a content creator, and this will allow them to become a force.
2026 is the year every person in this industry will need to decide if they want to support an outdated system at their own risk or move ahead confidently into uncharted territory.
From content-led L&D to experiment-led L&D.

Founder of Useful Stuff
Employee training in 2026 is at a pivotal crossroads, as jobs and teams in L&D are shrinking rapidly.
The chasm will increase between ineffective, underskilled teams who use outdated tools that take months to produce slide-based courses and teams that quickly create moments to guide performance in the ecosystems where employees already work.
The feedback from our audience and leadership is clear: they don't want more courses.
The best teams will be building employee training that can update often and be easily found. Think short videos, job aids embedded in workflows, AI chat assistance, and reusable communication templates.
SMEs using generative AI will continue to replace wasteful teams that have eroded trust with stakeholders.
However, modern teams will treat AI like a thought partner or efficiency multiplier, instead of a content creator, and this will allow them to become a force.
2026 is the year every person in this industry will need to decide if they want to support an outdated system at their own risk or move ahead confidently into uncharted territory.
From content-led L&D to experiment-led L&D.

Founder of Useful Stuff
Employee training in 2026 is at a pivotal crossroads, as jobs and teams in L&D are shrinking rapidly.
The chasm will increase between ineffective, underskilled teams who use outdated tools that take months to produce slide-based courses and teams that quickly create moments to guide performance in the ecosystems where employees already work.
The feedback from our audience and leadership is clear: they don't want more courses.
The best teams will be building employee training that can update often and be easily found. Think short videos, job aids embedded in workflows, AI chat assistance, and reusable communication templates.
SMEs using generative AI will continue to replace wasteful teams that have eroded trust with stakeholders.
However, modern teams will treat AI like a thought partner or efficiency multiplier, instead of a content creator, and this will allow them to become a force.
2026 is the year every person in this industry will need to decide if they want to support an outdated system at their own risk or move ahead confidently into uncharted territory.
From content-led L&D to experiment-led L&D.

Learning Experience Design Consultant at Syniad Learning
We’ll continue to see AI as a trend for L&D in 2026. But what will that really look like? A small number of organizations will push to innovate at the bleeding edge of the technology, working on truly transformative uses of AI that allow teams to do things that weren’t possible before or change the nature of work at a systemic level. Most organizations won’t move that fast though, even if the technology continues to rapidly improve.
For most organizations, AI in 2026 will look like small, useful improvements to training. L&D teams will find ways to do work they were already doing more efficiently or achieve modest improvements in training quality and learning outcomes. Small-scale experiments and pilots will increase and provide teams with better direction on what works and doesn’t work. Some organizations will start or continue working on gathering, curating, and cleaning up data and sources to prepare for future AI-enabled projects. AI will have a moderate impact on L&D for 2026, but these efforts will lay the groundwork for more significant changes in the long run.

Learning Experience Design Consultant at Syniad Learning
We’ll continue to see AI as a trend for L&D in 2026. But what will that really look like? A small number of organizations will push to innovate at the bleeding edge of the technology, working on truly transformative uses of AI that allow teams to do things that weren’t possible before or change the nature of work at a systemic level. Most organizations won’t move that fast though, even if the technology continues to rapidly improve.
For most organizations, AI in 2026 will look like small, useful improvements to training. L&D teams will find ways to do work they were already doing more efficiently or achieve modest improvements in training quality and learning outcomes. Small-scale experiments and pilots will increase and provide teams with better direction on what works and doesn’t work. Some organizations will start or continue working on gathering, curating, and cleaning up data and sources to prepare for future AI-enabled projects. AI will have a moderate impact on L&D for 2026, but these efforts will lay the groundwork for more significant changes in the long run.

Learning Experience Design Consultant at Syniad Learning
We’ll continue to see AI as a trend for L&D in 2026. But what will that really look like? A small number of organizations will push to innovate at the bleeding edge of the technology, working on truly transformative uses of AI that allow teams to do things that weren’t possible before or change the nature of work at a systemic level. Most organizations won’t move that fast though, even if the technology continues to rapidly improve.
For most organizations, AI in 2026 will look like small, useful improvements to training. L&D teams will find ways to do work they were already doing more efficiently or achieve modest improvements in training quality and learning outcomes. Small-scale experiments and pilots will increase and provide teams with better direction on what works and doesn’t work. Some organizations will start or continue working on gathering, curating, and cleaning up data and sources to prepare for future AI-enabled projects. AI will have a moderate impact on L&D for 2026, but these efforts will lay the groundwork for more significant changes in the long run.

Learning Experience Design Consultant at Syniad Learning
We’ll continue to see AI as a trend for L&D in 2026. But what will that really look like? A small number of organizations will push to innovate at the bleeding edge of the technology, working on truly transformative uses of AI that allow teams to do things that weren’t possible before or change the nature of work at a systemic level. Most organizations won’t move that fast though, even if the technology continues to rapidly improve.
For most organizations, AI in 2026 will look like small, useful improvements to training. L&D teams will find ways to do work they were already doing more efficiently or achieve modest improvements in training quality and learning outcomes. Small-scale experiments and pilots will increase and provide teams with better direction on what works and doesn’t work. Some organizations will start or continue working on gathering, curating, and cleaning up data and sources to prepare for future AI-enabled projects. AI will have a moderate impact on L&D for 2026, but these efforts will lay the groundwork for more significant changes in the long run.
7. Leadership and trust become critical in the age of AI
One of the biggest challenges right now is designing systems that match how people actually work with what AI is now capable of, and that responsibility ultimately sits with leaders. It’s great that Sean Spurgin calls this out and reminds us that leadership and trust are what determine whether AI becomes a real accelerator or just another layer of complexity.

Learning Director at Elev-8 Performance
AI will speed up a huge amount of L&D in 2026, but the real differentiator will still be human connection.
Organisations will win through leaders who bring clarity, meaning, accountable freedom, coach effectively and shape a team climate where people actually want to perform.
AI can enhance this, but it can’t lead it.
There’s still a human code that matters - the everyday behaviours that build trust, safety and momentum. Crack that code, and AI becomes an accelerator, not a replacement, for performance.

Learning Director at Elev-8 Performance
AI will speed up a huge amount of L&D in 2026, but the real differentiator will still be human connection.
Organisations will win through leaders who bring clarity, meaning, accountable freedom, coach effectively and shape a team climate where people actually want to perform.
AI can enhance this, but it can’t lead it.
There’s still a human code that matters - the everyday behaviours that build trust, safety and momentum. Crack that code, and AI becomes an accelerator, not a replacement, for performance.

Learning Director at Elev-8 Performance
AI will speed up a huge amount of L&D in 2026, but the real differentiator will still be human connection.
Organisations will win through leaders who bring clarity, meaning, accountable freedom, coach effectively and shape a team climate where people actually want to perform.
AI can enhance this, but it can’t lead it.
There’s still a human code that matters - the everyday behaviours that build trust, safety and momentum. Crack that code, and AI becomes an accelerator, not a replacement, for performance.

Learning Director at Elev-8 Performance
AI will speed up a huge amount of L&D in 2026, but the real differentiator will still be human connection.
Organisations will win through leaders who bring clarity, meaning, accountable freedom, coach effectively and shape a team climate where people actually want to perform.
AI can enhance this, but it can’t lead it.
There’s still a human code that matters - the everyday behaviours that build trust, safety and momentum. Crack that code, and AI becomes an accelerator, not a replacement, for performance.

Founder of Shapers
In 2026, the need for creative, authentic, human-centered learning experiences is bigger than ever.
As a learning experience design pioneer, I’ve been advocating a different design approach for close to twenty years now. Over time, the circumstances have changed, but my mission has always been the same: to improve the lives of learners by designing carefully crafted learning experiences that really make a difference.
Technology is part of designing learning experiences. From ancient technology, like pen and paper, to current developments in artificial intelligence, the technological possibilities are endless. That’s as exciting as it is daunting.
There’s a pattern in the world of learning where new technology dominates the debate about the future of learning. Whether it is virtual reality, augmented reality, computer games, social media, phones, tablets or artificial intelligence, the debate often overlooks real-world implications.
For example, not too long ago the use of social media was seen as a viable option to make learning more engaging. Today, Australia has banned social media accounts for kids, as it is pretty clear that there are major downsides to using social media.
Artificial intelligence has great potential. Let’s use it thoughtfully and focus on what really matters: the people you design for and helping them reach their goals. The more technology is present in our lives, the more we crave for personal experiences that enlighten and touch us. Let’s design for that!

L&D Consultant at Evolve L&D
We've spent 2025 hearing that the volume and velocity of change will only increase. Fair enough; now it's time to respond. For 2026, I see two overarching themes that will define how effective L&D practitioners work.
First, experiment-led design. Borrowed from the product world, this means spending more time understanding the deep-seated blockers to performance within our organisations, then quickly experimenting and iterating towards solving those problems rather than designing standalone interventions like e-learning courses or training programmes. This approach puts us back in control; it encourages us to observe, develop practical takeaways, test small ideas incrementally, and scale what works. We stop guessing and start proving.
Second, putting control in the hands of users. AI tools are letting L&D pump out content at scale, but that's not inherently useful. A piece of e-learning is only as good as the impact it has, and we've always been content-heavy. What we should be scanning for are tools that make our people's work lives easier, not tools that generate text. I'm looking towards assistants that help people do their jobs, and courseware that adapts using technologies like LLMs to deliver exactly what someone needs when they need it, not the L&D team's best guess from six months prior.

Learning Experience Designer at Lena's Moves
In 2026, as AI takes over more of the information-delivery side of learning, the real differentiator in L&D will no longer be the technology itself. It will be the quality of the human experience wrapped around that technology.
Yet most organisations still rely on learning formats that are content-heavy, intellectual, and disconnected from what people actually struggle with and what motivates them. When learning remains superficial and transactional, behaviour doesn’t shift. Employees feel disconnected from each other, the culture, and their work. There is no meaningful impact, organisations lose time, energy, and credibility, and attrition rises as competitors who invest in their people pull ahead.
Forward-thinking organisations are already moving toward a different kind of development, one designed to create connection and transformation.
This happens when we intentionally create spaces where people can reinterpret their experiences, question the assumptions driving their behaviour, and discover new meaning in their work and relationships. Crucially, this doesn’t happen only on an intellectual level. It happens on a deep, embodied, felt level.
When this level of learning is activated, something shifts. Learning stops being an obligation and becomes a moment of clarity, a reframing, often a transformation. This is human learning that stays with people. It’s the opposite of “boring.” It’s embodied, experiential, contextualised, and emotionally resonant learning that strengthens connection to each other, to the organisation and its culture, and to the work people are doing.
When learning is designed this way, people experience real personal insight and embody new behaviours. They apply new ways of working naturally, not out of compliance, but out of alignment. Teams feel more connected and engaged, and the organisation sees sustained impact on growth, productivity, and retention that lasts for years, not months.
As organisations often tell me, “This continues to shape our people long after the program ends.”

Chief Learning & Development Officer at BDO Canada
2026 should be focused on getting the basics right — doing real analysis before saying yes, aligning every request to business value, measuring impact beyond completion, and showing up as Trusted Learning Advisors instead of order takers. When L&D masters these fundamentals, everything else accelerates.
8. Experience-led learning design remains essential
As AI capabilities grow, it’s easy for L&D to get distracted by tools and technology. But real impact doesn’t come from novelty, it comes from design choices.
The perspectives below bring the focus back to human-centered, meaningful learning experiences and show how experiment-led, user-focused design helps L&D move beyond hype and strengthen its role as a strategic function that genuinely supports people at work.

Founder of Shapers
In 2026, the need for creative, authentic, human-centered learning experiences is bigger than ever.
As a learning experience design pioneer, I’ve been advocating a different design approach for close to twenty years now. Over time, the circumstances have changed, but my mission has always been the same: to improve the lives of learners by designing carefully crafted learning experiences that really make a difference.
Technology is part of designing learning experiences. From ancient technology, like pen and paper, to current developments in artificial intelligence, the technological possibilities are endless. That’s as exciting as it is daunting.
There’s a pattern in the world of learning where new technology dominates the debate about the future of learning. Whether it is virtual reality, augmented reality, computer games, social media, phones, tablets or artificial intelligence, the debate often overlooks real-world implications.
For example, not too long ago the use of social media was seen as a viable option to make learning more engaging. Today, Australia has banned social media accounts for kids, as it is pretty clear that there are major downsides to using social media.
Artificial intelligence has great potential. Let’s use it thoughtfully and focus on what really matters: the people you design for and helping them reach their goals. The more technology is present in our lives, the more we crave for personal experiences that enlighten and touch us. Let’s design for that!

Founder of Shapers
In 2026, the need for creative, authentic, human-centered learning experiences is bigger than ever.
As a learning experience design pioneer, I’ve been advocating a different design approach for close to twenty years now. Over time, the circumstances have changed, but my mission has always been the same: to improve the lives of learners by designing carefully crafted learning experiences that really make a difference.
Technology is part of designing learning experiences. From ancient technology, like pen and paper, to current developments in artificial intelligence, the technological possibilities are endless. That’s as exciting as it is daunting.
There’s a pattern in the world of learning where new technology dominates the debate about the future of learning. Whether it is virtual reality, augmented reality, computer games, social media, phones, tablets or artificial intelligence, the debate often overlooks real-world implications.
For example, not too long ago the use of social media was seen as a viable option to make learning more engaging. Today, Australia has banned social media accounts for kids, as it is pretty clear that there are major downsides to using social media.
Artificial intelligence has great potential. Let’s use it thoughtfully and focus on what really matters: the people you design for and helping them reach their goals. The more technology is present in our lives, the more we crave for personal experiences that enlighten and touch us. Let’s design for that!

Founder of Shapers
In 2026, the need for creative, authentic, human-centered learning experiences is bigger than ever.
As a learning experience design pioneer, I’ve been advocating a different design approach for close to twenty years now. Over time, the circumstances have changed, but my mission has always been the same: to improve the lives of learners by designing carefully crafted learning experiences that really make a difference.
Technology is part of designing learning experiences. From ancient technology, like pen and paper, to current developments in artificial intelligence, the technological possibilities are endless. That’s as exciting as it is daunting.
There’s a pattern in the world of learning where new technology dominates the debate about the future of learning. Whether it is virtual reality, augmented reality, computer games, social media, phones, tablets or artificial intelligence, the debate often overlooks real-world implications.
For example, not too long ago the use of social media was seen as a viable option to make learning more engaging. Today, Australia has banned social media accounts for kids, as it is pretty clear that there are major downsides to using social media.
Artificial intelligence has great potential. Let’s use it thoughtfully and focus on what really matters: the people you design for and helping them reach their goals. The more technology is present in our lives, the more we crave for personal experiences that enlighten and touch us. Let’s design for that!

Founder of Shapers
In 2026, the need for creative, authentic, human-centered learning experiences is bigger than ever.
As a learning experience design pioneer, I’ve been advocating a different design approach for close to twenty years now. Over time, the circumstances have changed, but my mission has always been the same: to improve the lives of learners by designing carefully crafted learning experiences that really make a difference.
Technology is part of designing learning experiences. From ancient technology, like pen and paper, to current developments in artificial intelligence, the technological possibilities are endless. That’s as exciting as it is daunting.
There’s a pattern in the world of learning where new technology dominates the debate about the future of learning. Whether it is virtual reality, augmented reality, computer games, social media, phones, tablets or artificial intelligence, the debate often overlooks real-world implications.
For example, not too long ago the use of social media was seen as a viable option to make learning more engaging. Today, Australia has banned social media accounts for kids, as it is pretty clear that there are major downsides to using social media.
Artificial intelligence has great potential. Let’s use it thoughtfully and focus on what really matters: the people you design for and helping them reach their goals. The more technology is present in our lives, the more we crave for personal experiences that enlighten and touch us. Let’s design for that!

L&D Consultant at Evolve L&D
We've spent 2025 hearing that the volume and velocity of change will only increase. Fair enough; now it's time to respond. For 2026, I see two overarching themes that will define how effective L&D practitioners work.
First, experiment-led design. Borrowed from the product world, this means spending more time understanding the deep-seated blockers to performance within our organisations, then quickly experimenting and iterating towards solving those problems rather than designing standalone interventions like e-learning courses or training programmes. This approach puts us back in control; it encourages us to observe, develop practical takeaways, test small ideas incrementally, and scale what works. We stop guessing and start proving.
Second, putting control in the hands of users. AI tools are letting L&D pump out content at scale, but that's not inherently useful. A piece of e-learning is only as good as the impact it has, and we've always been content-heavy. What we should be scanning for are tools that make our people's work lives easier, not tools that generate text. I'm looking towards assistants that help people do their jobs, and courseware that adapts using technologies like LLMs to deliver exactly what someone needs when they need it, not the L&D team's best guess from six months prior.

L&D Consultant at Evolve L&D
We've spent 2025 hearing that the volume and velocity of change will only increase. Fair enough; now it's time to respond. For 2026, I see two overarching themes that will define how effective L&D practitioners work.
First, experiment-led design. Borrowed from the product world, this means spending more time understanding the deep-seated blockers to performance within our organisations, then quickly experimenting and iterating towards solving those problems rather than designing standalone interventions like e-learning courses or training programmes. This approach puts us back in control; it encourages us to observe, develop practical takeaways, test small ideas incrementally, and scale what works. We stop guessing and start proving.
Second, putting control in the hands of users. AI tools are letting L&D pump out content at scale, but that's not inherently useful. A piece of e-learning is only as good as the impact it has, and we've always been content-heavy. What we should be scanning for are tools that make our people's work lives easier, not tools that generate text. I'm looking towards assistants that help people do their jobs, and courseware that adapts using technologies like LLMs to deliver exactly what someone needs when they need it, not the L&D team's best guess from six months prior.

L&D Consultant at Evolve L&D
We've spent 2025 hearing that the volume and velocity of change will only increase. Fair enough; now it's time to respond. For 2026, I see two overarching themes that will define how effective L&D practitioners work.
First, experiment-led design. Borrowed from the product world, this means spending more time understanding the deep-seated blockers to performance within our organisations, then quickly experimenting and iterating towards solving those problems rather than designing standalone interventions like e-learning courses or training programmes. This approach puts us back in control; it encourages us to observe, develop practical takeaways, test small ideas incrementally, and scale what works. We stop guessing and start proving.
Second, putting control in the hands of users. AI tools are letting L&D pump out content at scale, but that's not inherently useful. A piece of e-learning is only as good as the impact it has, and we've always been content-heavy. What we should be scanning for are tools that make our people's work lives easier, not tools that generate text. I'm looking towards assistants that help people do their jobs, and courseware that adapts using technologies like LLMs to deliver exactly what someone needs when they need it, not the L&D team's best guess from six months prior.

L&D Consultant at Evolve L&D
We've spent 2025 hearing that the volume and velocity of change will only increase. Fair enough; now it's time to respond. For 2026, I see two overarching themes that will define how effective L&D practitioners work.
First, experiment-led design. Borrowed from the product world, this means spending more time understanding the deep-seated blockers to performance within our organisations, then quickly experimenting and iterating towards solving those problems rather than designing standalone interventions like e-learning courses or training programmes. This approach puts us back in control; it encourages us to observe, develop practical takeaways, test small ideas incrementally, and scale what works. We stop guessing and start proving.
Second, putting control in the hands of users. AI tools are letting L&D pump out content at scale, but that's not inherently useful. A piece of e-learning is only as good as the impact it has, and we've always been content-heavy. What we should be scanning for are tools that make our people's work lives easier, not tools that generate text. I'm looking towards assistants that help people do their jobs, and courseware that adapts using technologies like LLMs to deliver exactly what someone needs when they need it, not the L&D team's best guess from six months prior.

Learning Experience Designer at Lena's Moves
In 2026, as AI takes over more of the information-delivery side of learning, the real differentiator in L&D will no longer be the technology itself. It will be the quality of the human experience wrapped around that technology.
Yet most organisations still rely on learning formats that are content-heavy, intellectual, and disconnected from what people actually struggle with and what motivates them. When learning remains superficial and transactional, behaviour doesn’t shift. Employees feel disconnected from each other, the culture, and their work. There is no meaningful impact, organisations lose time, energy, and credibility, and attrition rises as competitors who invest in their people pull ahead.
Forward-thinking organisations are already moving toward a different kind of development, one designed to create connection and transformation.
This happens when we intentionally create spaces where people can reinterpret their experiences, question the assumptions driving their behaviour, and discover new meaning in their work and relationships. Crucially, this doesn’t happen only on an intellectual level. It happens on a deep, embodied, felt level.
When this level of learning is activated, something shifts. Learning stops being an obligation and becomes a moment of clarity, a reframing, often a transformation. This is human learning that stays with people. It’s the opposite of “boring.” It’s embodied, experiential, contextualised, and emotionally resonant learning that strengthens connection to each other, to the organisation and its culture, and to the work people are doing.
When learning is designed this way, people experience real personal insight and embody new behaviours. They apply new ways of working naturally, not out of compliance, but out of alignment. Teams feel more connected and engaged, and the organisation sees sustained impact on growth, productivity, and retention that lasts for years, not months.
As organisations often tell me, “This continues to shape our people long after the program ends.”

Learning Experience Designer at Lena's Moves
In 2026, as AI takes over more of the information-delivery side of learning, the real differentiator in L&D will no longer be the technology itself. It will be the quality of the human experience wrapped around that technology.
Yet most organisations still rely on learning formats that are content-heavy, intellectual, and disconnected from what people actually struggle with and what motivates them. When learning remains superficial and transactional, behaviour doesn’t shift. Employees feel disconnected from each other, the culture, and their work. There is no meaningful impact, organisations lose time, energy, and credibility, and attrition rises as competitors who invest in their people pull ahead.
Forward-thinking organisations are already moving toward a different kind of development, one designed to create connection and transformation.
This happens when we intentionally create spaces where people can reinterpret their experiences, question the assumptions driving their behaviour, and discover new meaning in their work and relationships. Crucially, this doesn’t happen only on an intellectual level. It happens on a deep, embodied, felt level.
When this level of learning is activated, something shifts. Learning stops being an obligation and becomes a moment of clarity, a reframing, often a transformation. This is human learning that stays with people. It’s the opposite of “boring.” It’s embodied, experiential, contextualised, and emotionally resonant learning that strengthens connection to each other, to the organisation and its culture, and to the work people are doing.
When learning is designed this way, people experience real personal insight and embody new behaviours. They apply new ways of working naturally, not out of compliance, but out of alignment. Teams feel more connected and engaged, and the organisation sees sustained impact on growth, productivity, and retention that lasts for years, not months.
As organisations often tell me, “This continues to shape our people long after the program ends.”

Learning Experience Designer at Lena's Moves
In 2026, as AI takes over more of the information-delivery side of learning, the real differentiator in L&D will no longer be the technology itself. It will be the quality of the human experience wrapped around that technology.
Yet most organisations still rely on learning formats that are content-heavy, intellectual, and disconnected from what people actually struggle with and what motivates them. When learning remains superficial and transactional, behaviour doesn’t shift. Employees feel disconnected from each other, the culture, and their work. There is no meaningful impact, organisations lose time, energy, and credibility, and attrition rises as competitors who invest in their people pull ahead.
Forward-thinking organisations are already moving toward a different kind of development, one designed to create connection and transformation.
This happens when we intentionally create spaces where people can reinterpret their experiences, question the assumptions driving their behaviour, and discover new meaning in their work and relationships. Crucially, this doesn’t happen only on an intellectual level. It happens on a deep, embodied, felt level.
When this level of learning is activated, something shifts. Learning stops being an obligation and becomes a moment of clarity, a reframing, often a transformation. This is human learning that stays with people. It’s the opposite of “boring.” It’s embodied, experiential, contextualised, and emotionally resonant learning that strengthens connection to each other, to the organisation and its culture, and to the work people are doing.
When learning is designed this way, people experience real personal insight and embody new behaviours. They apply new ways of working naturally, not out of compliance, but out of alignment. Teams feel more connected and engaged, and the organisation sees sustained impact on growth, productivity, and retention that lasts for years, not months.
As organisations often tell me, “This continues to shape our people long after the program ends.”

Learning Experience Designer at Lena's Moves
In 2026, as AI takes over more of the information-delivery side of learning, the real differentiator in L&D will no longer be the technology itself. It will be the quality of the human experience wrapped around that technology.
Yet most organisations still rely on learning formats that are content-heavy, intellectual, and disconnected from what people actually struggle with and what motivates them. When learning remains superficial and transactional, behaviour doesn’t shift. Employees feel disconnected from each other, the culture, and their work. There is no meaningful impact, organisations lose time, energy, and credibility, and attrition rises as competitors who invest in their people pull ahead.
Forward-thinking organisations are already moving toward a different kind of development, one designed to create connection and transformation.
This happens when we intentionally create spaces where people can reinterpret their experiences, question the assumptions driving their behaviour, and discover new meaning in their work and relationships. Crucially, this doesn’t happen only on an intellectual level. It happens on a deep, embodied, felt level.
When this level of learning is activated, something shifts. Learning stops being an obligation and becomes a moment of clarity, a reframing, often a transformation. This is human learning that stays with people. It’s the opposite of “boring.” It’s embodied, experiential, contextualised, and emotionally resonant learning that strengthens connection to each other, to the organisation and its culture, and to the work people are doing.
When learning is designed this way, people experience real personal insight and embody new behaviours. They apply new ways of working naturally, not out of compliance, but out of alignment. Teams feel more connected and engaged, and the organisation sees sustained impact on growth, productivity, and retention that lasts for years, not months.
As organisations often tell me, “This continues to shape our people long after the program ends.”

Chief Learning & Development Officer at BDO Canada
2026 should be focused on getting the basics right — doing real analysis before saying yes, aligning every request to business value, measuring impact beyond completion, and showing up as Trusted Learning Advisors instead of order takers. When L&D masters these fundamentals, everything else accelerates.

Chief Learning & Development Officer at BDO Canada
2026 should be focused on getting the basics right — doing real analysis before saying yes, aligning every request to business value, measuring impact beyond completion, and showing up as Trusted Learning Advisors instead of order takers. When L&D masters these fundamentals, everything else accelerates.

Chief Learning & Development Officer at BDO Canada
2026 should be focused on getting the basics right — doing real analysis before saying yes, aligning every request to business value, measuring impact beyond completion, and showing up as Trusted Learning Advisors instead of order takers. When L&D masters these fundamentals, everything else accelerates.

Chief Learning & Development Officer at BDO Canada
2026 should be focused on getting the basics right — doing real analysis before saying yes, aligning every request to business value, measuring impact beyond completion, and showing up as Trusted Learning Advisors instead of order takers. When L&D masters these fundamentals, everything else accelerates.

Founder of Useful Stuff
Employee training in 2026 is at a pivotal crossroads, as jobs and teams in L&D are shrinking rapidly.
The chasm will increase between ineffective, underskilled teams who use outdated tools that take months to produce slide-based courses and teams that quickly create moments to guide performance in the ecosystems where employees already work.
The feedback from our audience and leadership is clear: they don't want more courses.
The best teams will be building employee training that can update often and be easily found. Think short videos, job aids embedded in workflows, AI chat assistance, and reusable communication templates.
SMEs using generative AI will continue to replace wasteful teams that have eroded trust with stakeholders.
However, modern teams will treat AI like a thought partner or efficiency multiplier, instead of a content creator, and this will allow them to become a force.
2026 is the year every person in this industry will need to decide if they want to support an outdated system at their own risk or move ahead confidently into uncharted territory.
From content-led L&D to experiment-led L&D.

Learning Experience Design Consultant at Syniad Learning
We’ll continue to see AI as a trend for L&D in 2026. But what will that really look like? A small number of organizations will push to innovate at the bleeding edge of the technology, working on truly transformative uses of AI that allow teams to do things that weren’t possible before or change the nature of work at a systemic level. Most organizations won’t move that fast though, even if the technology continues to rapidly improve.
For most organizations, AI in 2026 will look like small, useful improvements to training. L&D teams will find ways to do work they were already doing more efficiently or achieve modest improvements in training quality and learning outcomes. Small-scale experiments and pilots will increase and provide teams with better direction on what works and doesn’t work. Some organizations will start or continue working on gathering, curating, and cleaning up data and sources to prepare for future AI-enabled projects. AI will have a moderate impact on L&D for 2026, but these efforts will lay the groundwork for more significant changes in the long run.
Businesses should invest in people who adapt fastest
Another strong point echoed by several experts is that in a highly transformative environment, the most valuable skill is the ability to adapt fast. As roles keep shifting, businesses are rethinking which skills and people to prioritize.

Director of Business Development at Harrison Assessments
Organizations must identify employees who demonstrate learning agility. Retaining and developing those should become the priority. These high-potential individuals will yield the greatest long-term return on investment during the era of AI and upskilling requirements.

Director of Business Development at Harrison Assessments
Organizations must identify employees who demonstrate learning agility. Retaining and developing those should become the priority. These high-potential individuals will yield the greatest long-term return on investment during the era of AI and upskilling requirements.

Director of Business Development at Harrison Assessments
Organizations must identify employees who demonstrate learning agility. Retaining and developing those should become the priority. These high-potential individuals will yield the greatest long-term return on investment during the era of AI and upskilling requirements.

Director of Business Development at Harrison Assessments
Organizations must identify employees who demonstrate learning agility. Retaining and developing those should become the priority. These high-potential individuals will yield the greatest long-term return on investment during the era of AI and upskilling requirements.

Co-Founder of HRissan
In 2026, corporate learning is moving toward hyper-personalized, near real-time development, powered by AI. We’re leaving behind one-size-fits-all programs: every employee will have a dynamic growth plan generated by models that understand their performance, skill gaps, and career aspirations, and translate that into concrete recommendations — courses, stretch projects, and next career steps.
This creates a practical opportunity for L&D teams: automate curation, integrate performance data, and build dashboards that continuously update each person’s learning path. AI stops being an experiment and becomes the engine that orchestrates the entire learning ecosystem.
Tools like NotebookLM already allow teams to centralize content from different sources and formats to accelerate research, study, and internal content creation. This dramatically shortens production cycles and enables learning programs to be refreshed far more frequently.
The real challenge won’t be the technology — it will be operationalizing it: moving from theory to rapid pilots, measuring impact, and scaling what works. Organizations that do this in 2025–2026 will turn learning into a living, adaptive system fully aligned with business goals.

Training and Development Leader at Golden Aluminum
Employee training in 2026 is shifting toward role-specific, data-informed development. Generic training simply won’t meet the expectations of a workforce that wants clarity, purpose, and real opportunities to grow. L&D teams will increasingly design programs around what the role truly requires, using job analysis, task inventories, and operational data to ensure training reflects the actual work — not assumptions about it.
We’ll also see the Job Characteristics Model come back into focus. With the next generation placing high value on growth and mastery, “learning and development opportunities” will become a core part of job design and a key lever for motivation and retention.
At the same time, AI is reshaping tasks faster than people can adapt. That’s why 2026 will prioritize human-centered upskilling — building not just technical proficiency but the skills that keep employees adaptable and effective. This includes emotional intelligence, communication, and everyday leadership skills, which are becoming essential as teams navigate rapid change, cross-functional work, and more complex systems.
At Golden Aluminum, we’re evolving in this direction by grounding training in true role clarity, using data to inform improvements, and expanding development pathways that help people grow in both capability and confidence as their work evolves.
10. L&D teams should trust AI to do more of the work
I want to close with my biggest focus for 2026.
L&D AI tools are moving from “helping” to actually doing. We’re entering a phase where AI can handle a large share of the operational work on its own. Instead of people adapting to software, software adapts to people.
For L&D professionals, this is a mental shift. Once they start trusting AI and working with it as a capable teammate rather than another system to manage, progress accelerates fast. Much of the manual work disappears, freeing up time for creativity, experimentation, performance analysis, and real work with people.
My goal for 2026 is to help L&D professionals make this shift and feel confident letting AI do the heavy lifting in course creation, together with the Foxtery team.
Summary
I hope this piece helped you look at 2026 from a few new angles and spot shifts that might not have been obvious when viewed one by one. Let’s wrap them up once more:
Learning must respond to business change in real time
Static plans can’t keep up with fast-moving markets. Learning systems must adapt continuously as business priorities shift.L&D shifts from content production to performance impact
Great content remains essential, but its value is defined by how effectively it improves on-the-job performance.Learning moves into daily tools and workflows
The most effective learning happens where work is done, not in separate systems or standalone programs.Learning programs shift from generic to role-based
One-size-fits-all training breaks down as roles become more specific, dynamic, and context-dependent.Skills-to-KPI learning systems can drive higher effectiveness
Learning creates measurable value when it’s directly tied to skills, performance metrics, and business outcomes.AI becomes a force multiplier for L&D teams
L&D teams win by integrating AI across the entire function and rethinking workflows end to end.Leadership and trust become critical in the age of AI
AI amplifies performance only when strong leadership, trust, and psychological safety are already in place.Experience-led learning design remains essential
Tools matter, but meaningful, human-centered learning experiences are what drive engagement and lasting impact.Businesses should invest in people who adapt fastest
In constant change, learning agility becomes one of the highest-ROI capabilities organizations can build.L&D teams should trust AI to do more of the work
L&D is entering a phase where AI handles much of the operational work, freeing teams to focus on creativity, experimentation, and working with people.
If any of these trends resonated with you, or if you see things differently, I’d genuinely love to hear your perspective. Feel free to reach out to me on LinkedIn and let me know which shifts you’re already seeing or planning for.

Founder of Learning & Development Mentor Academy
Employee training in 2026 is moving toward capability acceleration which is helping people to perform better on the job, not just complete learning activities.
The biggest shift L&D teams will experience is the need to design backward from moment of performance. This is because AI is good-ish at creating content but, the real value is when L&D professionals help employees perform better.
So, instead of starting with the question “What do employees need to know?” We need to ask ourselves, “What does the employee need to do on Tuesday at 10:15 a.m.?” We need to start there, and then let everything else support that action from our design to our delivery of instruction.
Part of this will be an increase in AI-powered practice opportunities. So instead of a one-and-done eLearning course, employees will engage in ongoing, bite-sized rehearsals: tough conversation simulators, objection-handling microlearning, AI-powered coaching dialogs, and situational scenarios that adapt to the employees’ choices dynamically. Think of it as going from “training event” to “training gym” where the employees receive multiple reps, not a single exposure.
And L&D teams will increasingly use AI to scale scenario creation which will be part of the AI practice regime. L&D teams will craft realistic situations with different types of customer characters or peer characters, different contexts, and various constraints. Employees will learn how to face the kind of complexity that they encounter at work and get directed, critical feedback on how to respond. This means more personalization, more relevance, and more opportunities to practice judgment.
In 2026, the winning L&D groups won’t ask, “What content should we deliver?” Instead, they’ll ask, “What capability must this person demonstrate, and how do we help them practice that capability until it sticks?”

CEO of The Learning and Performance Institute (LPI)
Employee training in 2026 will shift decisively from content delivery to performance enablement. Organisations are finally recognising that learning is only valuable when it improves what people can do, not just what they know. The big change next year will be the move towards AI-supported performance loops: continuous, real-time guidance embedded into the flow of work. Rather than sending people on a course, L&D teams will deploy AI agents that coach employees through tasks, provide feedback, and surface resources the moment they are needed.
We will also see a stronger emphasis on learnership, which means nurturing the mindsets and behaviours that help employees adapt quickly. The corporate world changes constantly, consequently the real competitive advantage is building a workforce that experiments, reflects, and applies learning faster than competitors. For L&D, this means creating environments where curiosity is rewarded, not contained.
Practically, organisations can prepare by:
• Mapping critical skills and linking them to measurable performance outcomes.
• Piloting AI agents that guide frontline tasks or support new managers.
• Replacing annual training plans with quarterly, data-led performance reviews.
• Giving teams access to high-quality practice environments such as simulations, sandboxes, and scenario-based coaching.
2026 will reward L&D teams who stop chasing content and start architecting capability.

Sharing how AI helps companies grow their people and streamline learning. Focus on modern enablement, faster onboarding, and making knowledge accessible in real time. My goal is to help teams stay aligned and perform confidently in fast-changing environments. Second-time founder with 10 years in HR tech.

Sharing how AI helps companies grow their people and streamline learning. Focus on modern enablement, faster onboarding, and making knowledge accessible in real time. My goal is to help teams stay aligned and perform confidently in fast-changing environments. Second-time founder with 10 years in HR tech.

Sharing how AI helps companies grow their people and streamline learning. Focus on modern enablement, faster onboarding, and making knowledge accessible in real time. My goal is to help teams stay aligned and perform confidently in fast-changing environments. Second-time founder with 10 years in HR tech.

Sharing how AI helps companies grow their people and streamline learning. Focus on modern enablement, faster onboarding, and making knowledge accessible in real time. My goal is to help teams stay aligned and perform confidently in fast-changing environments. Second-time founder with 10 years in HR tech.

Sharing how AI helps companies grow their people and streamline learning. Focus on modern enablement, faster onboarding, and making knowledge accessible in real time. My goal is to help teams stay aligned and perform confidently in fast-changing environments. Second-time founder with 10 years in HR tech.
