10 L&D Trends to Watch in 2026

When was the last time your employees learned something new without sitting through a formal training session?

Learning now happens in the flow of work, through AI, manager conversations, peer interactions, and on-demand resources. As the way people learn changes, so does the role of L&D.

The question is no longer simply how to deliver training. It's how to make learning more relevant to the capabilities employees and organizations need next.

We looked across global research, industry reports and the wider L&D landscape to identify the patterns shaping the function in 2026.

What emerged are five shifts shaping L&D, from how the function itself is evolving to changing workforce expectations, new capability needs, evolving learning experiences and the growing role of technology.

Here are the 10 trends to watch in 2026.

1. L&D Strategy: How the Function Itself Is Evolving

L&D is being asked to solve a different problem now. It starts with the people employees rely on every day, their managers, and extends to how a new generation is changing the way people learn, work, and use AI.

Managers Are the Most Important Layer (and Often the Least Developed)

For years, managers were promoted because they were good at their individual jobs, and the assumption was they'd figure out leadership by watching and doing. Manager development, when it happened at all, showed up as an annual workshop.

Why Now?

Managers today are expected to coach, lead change, build capability, and keep people engaged, all while navigating AI, tighter resources, and constant churn. The role has evolved fast, and it shows in what's landing on HR's desk. Gartner has ranked leader and manager development as the top HR priority globally for three years running. Most development programs haven't kept pace.

What’s Working?

The strain is showing up in how much people trust the person they report to. DDI's Global Leadership Forecast 2025 found trust in mid-level managers dropped from 46% to 29% in just two years. That's not a competence problem; it's a support problem.

Organizations that are getting this right are building small peer circles where managers solve real business challenges together, identifying future managers early and giving them exposure before they're handed the title, and putting managers in charge of cross-functional projects so knowledge stays inside the business instead of walking out the door.

What This Means for L&D

• Make manager development continuous, not annual.

• Build leadership development around real management moments.

• Use peer learning to strengthen everyday leadership capability.

• Develop future managers before they step into the role.

• Equip managers with practical coaching and feedback tools.

Gen Z Has Changed the Rules of Learning (AI Just Sped It Up)

Learning used to be something organizations planned and employees attended. L&D decided the what, the when and the how, and completion rates became the proxy for a healthy learning culture.

Why Now?

Gen Z doesn't wait for a scheduled course or dig through an LMS for answers. AI is always within reach, patient enough to field every question, and ready the second they need it. They're learning in the moment, and that habit is spreading fast across the rest of the workforce.

What’s Working?

That instinct to reach for AI first doesn't mean Gen Z blindly trusts what it gets back. Gallup's 2026 research found Gen Z's belief in AI's ability to speed up learning actually fell 7% in a single year. AI is making answers easier to find, but not automatically easier to trust. The teams handling this well are building real AI literacy instead of treating it as another training course, identifying confident Gen Z employees to act as informal AI mentors for the wider workforce, and giving managers simple AI prompts to bring into every 1 on 1.

What This Means for L&D

• Build AI literacy into everyday learning.

• Bring learning in the flow of work closer to employees.

• Teach employees to question and validate AI outputs.

• Use peer learning to build AI confidence.

• Make self-directed learning easier and more structured.

2. Workforce & Work Realities: How Changing Employee Expectations Are Reshaping Development

Employees have more control over how they learn than ever before. But as learning becomes more personal and self-directed, expectations around growth, mobility, and career visibility are changing too.

Learning Has Become Personal (but Growth Is Not Organizational)

Learning used to be tied tightly to work. Managers coached, colleagues shared experience, and the job itself reinforced new skills.

Why now

Learning today is increasingly self-directed, happening through AI, external platforms, certifications, and online communities, often completely outside the organization's line of sight. The volume of learning has grown. How much of it the organization can actually see has shrunk.

What’s Working?

Personal learning doesn't automatically turn into organizational capability. Unless it gets applied on the job and shared with others, its impact tends to stop with the one person who picked it up. Organizations that are ahead of this are pairing every course or AI learning moment with a real business challenge, creating peer learning circles and team reflection sessions, and turning individual learning into shared knowledge through playbooks and peer showcases.

Frontline Workers Don't Just Need Better Training, They Need Better Futures

Frontline learning used to stop at onboarding, compliance, and standard procedures, delivered in occasional classroom sessions.

Why Now?

Frontline employees are no longer showing up just to clock hours; they're weighing whether the job leads anywhere. LinkedIn's 2025 Workplace Learning Report found career progress is now the number one motivation for employees to learn. That makes growth a business priority for frontline teams, not a nice-to-have benefit tacked onto the job.

What’s Working?

Organizations have poured money into training frontline employees to perform, but not nearly enough into helping them see a future inside the business. When frontline workers can't connect today's learning to tomorrow's opportunity, training turns into a short-term cost instead of a retention strategy. 

What's working is mapping real career paths and connecting learning journeys to actual roles, equipping frontline managers to have honest career conversations, and using practical assessments and simulations to help people prove they're ready for what's next.

What This Means for L&D

• Connect learning to visible career development pathways.

• Map skills to internal mobility and future roles.

• Equip managers for meaningful career conversations.

• Use assessments to identify readiness and skill gaps.

• Design learning in the flow of work for frontline teams.

3. Skills & Capability: How Organizations Are Rethinking the Capabilities They Need to Build

The question is no longer just who needs training. It's which capabilities actually matter, who needs them, and how that answer changes as AI takes over more of the work.

Stop Fixing Low Performers, Grow Everyday Performers

Performance support used to kick in only after someone fell behind, with training or improvement plans used to fix a problem that had already shown up.

Why Now

The old model of waiting for a problem to surface before stepping in isn't landing with either side of the table. Deloitte found only 32% of executives believe their performance management approach supports timely talent decisions, while 64% of workers see reviews as a waste of time. Most organizations are still better at reacting to performance problems than preventing them.

What's Working

The biggest opportunity isn't improving a small group of struggling employees, it's helping the much larger group of consistent, everyday performers get a little better, sooner. That means using manager check-ins and skills data to spot capability gaps early, building targeted learning for the middle of the bell curve and not just top talent, equipping managers with coaching tools they'll actually use in regular one on ones, and tracking time to proficiency instead of just completion.

What this means for L&D

• Use skills-based learning to identify capability gaps early.

• Shift from reactive training to continuous performance development.

• Extend development beyond high-potential employees.

• Use targeted learning interventions based on capability needs.

• Measure proficiency, behavior change and performance.

The Skills Employees Need Are Changing (as AI Changes Work)

Skills used to be relatively stable. Competency frameworks laid out what each role needed, and L&D built those skills through training and experience.

Why Now

The pace of change isn't just picking up; it's touching almost every job description on the org chart. The World Economic Forum estimates 39% of workers' core skills will change by 2030. AI is quietly taking over parts of the job people used to do while introducing entirely new ways of working, and organizations are pouring investment into upskilling and reskilling for AI-enabled roles.

What's Working

Upskilling tells you what new skills to build. It doesn't answer the harder question, which is if AI is absorbing parts of the job, what should humans now actually be responsible for? Organizations getting ahead of this are running an AI impact review every time a new tool is introduced, conducting annual skills audits to retire what's outdated, and deliberately designing roles around judgment, problem-solving, creativity, and relationship building - the things that get more valuable as AI takes over the routine stuff.

What this means for L&D

• Make skills-based learning part of workforce strategy.

• Refresh skills frameworks as roles evolve.

• Build AI literacy alongside human capabilities.

• Create upskilling and reskilling pathways for emerging roles.

• Use skills mapping to guide capability planning.

4. Learning Design & Delivery: How Learning Experiences Must Evolve to Create Real Impact

Learning is getting shorter, faster, and more personalized. But speed creates its own questions. Are people actually building capability, and are personalized experiences helping them see beyond what they already know?

We've Mastered Microlearning (but Forgotten Learning Design)

Learning used to be built as a connected journey, designed for depth, giving employees the time to build understanding, practise skills, and connect ideas across a program.

Why Now

Learning today is increasingly delivered in smaller, faster formats. Microlearning, learning in the flow of work, and AI-powered recommendations have made short-form content the default answer to almost everything.

What's Working

Shortening content doesn't automatically make it better. A lot of organizations are breaking programs into disconnected modules without thinking through the actual learning experience, and when learning becomes a series of separate moments, employees struggle to connect the concepts into anything coherent. What's working is checking every module for whether it delivers value on its own or only as part of a bigger journey, reserving long-form and cohort learning for capabilities that genuinely need reflection and judgment, and measuring whether behaviour actually changed rather than whether the module got completed.

What this means for L&D

• Choose the learning format based on the capability needed.

• Use microlearning for reinforcement and recall.

• Use learning in the flow of work for moments of need.

• Build longer experiences where practice and reflection matter.

• Measure learning impact, not just completion.

AI Is Personalizing Learning (but Not Expanding Perspectives)

Learning used to be personalized at the role level. Everyone in the same job followed the same path, at the same pace, and tailored simply meant tailored to a role rather than a person.

Why Now

AI is shifting learning from one-size-fits-all to one-size-fits-one, personalizing recommendations based on someone's role, performance, goals and behaviour.

What's Working

Here's the catch. AI can personalize learning, but it can also quietly narrow it, recommending based only on what someone has already viewed or completed and creating an echo chamber. That limits exposure to adjacent skills the person didn't even know they needed.

The fix is designing the whole ecosystem around performance data, manager input, and business priorities instead of leaning on a standalone AI engine, deliberately broadening every learning journey with adjacent and cross-functional skills, and keeping regular manager or mentor conversations built into the personalized path, since AI personalizes but people still provide the context and judgment.

What this means for L&D

• Use AI to enable personalized learning.

• Base recommendations on skills, performance and goals.

• Add adjacent skills to personalized learning paths.

• Combine AI recommendations with manager and mentor input.

• Use skills-based learning to guide what comes next.

5. Technology & Systems Enablement: How Technology Is Changing the Way Learning Is Delivered, Discovered, and Experienced

Technology is changing more than how people access learning. It's changing what sits behind it, from the data connecting learning and performance to the AI agents employees are starting to turn to for answers.

Learning Ecosystems Are Growing (but Data Is Still Fragmented)

Learning, people, and performance data used to live in separate systems, and connecting those datasets was hard enough that L&D often measured learning completely separately from business outcomes.

Why Now

Organizations are now investing in connected ecosystems where the LMS, LXP, HR and performance platforms all exchange data, with the goal being real business impact rather than just delivery.

What's Working

Connected platforms are only as good as the data flowing between them, and inconsistent skills frameworks, job architecture and learner data still hold a lot of these systems back. Poor data weakens reporting, AI recommendations and workforce insights all at once. 

Teams doing this well are standardizing skills and learner data across existing systems before buying anything new, treating integration as non-negotiable in every new platform evaluation, and using AI and analytics to surface emerging skill gaps before they become business problems.

What this means for L&D

• Build a connected learning ecosystem.

• Standardize skills and learner data before adding technology.

• Connect learning, performance and workforce data.

• Use learning analytics to identify emerging skill gaps.

• Measure learning alongside business outcomes.

AI Agents Are Entering the Workplace (but Organizations Aren't Ready)

Employees used to learn by searching, digging through the LMS, an intranet, manuals or a knowledge base, completing a course, and returning to work.

Why Now

AI is becoming embedded in everyday work faster than most organizations have figured out how to guide it. Microsoft's 2026 Work Trend Index found only 26% of AI users say their organization has a clear, consistent AI strategy. Employees increasingly turn to AI before they turn to search, asking a question and expecting one trusted answer or next step.

What's Working

Most learning content is still designed to be browsed, while employees now expect answers to show up naturally inside a conversation. Organizations closing that gap are structuring content so AI assistants can actually retrieve, recommend and explain it in context, organizing learning around the real questions employees ask on the job instead of around course titles, and clearly governing which knowledge sources AI is allowed to pull from.

What this means for L&D

• Structure content around real employee questions and tasks.

• Make trusted knowledge accessible through AI.

• Embed learning in the flow of work.

• Govern the knowledge sources AI can access.

• Position AI agents within the broader learning ecosystem

A Quick Reality Check from the Rest of the Industry

We didn't stop at our own research. Looking across the wider L&D conversation for 2026, from LinkedIn's Workplace Learning Report to Gartner, Deloitte, the World Economic Forum and independent industry surveys, the same threads keep showing up.

We didn't stop at our own research. Looking across the wider L&D conversation for 2026, from LinkedIn's Workplace Learning Report to Gartner, Deloitte, the World Economic Forum and independent industry surveys, the same threads keep showing up.

Across these sources, there is growing attention on how organisations build capabilities, support managers, connect learning to business priorities and respond to changing workforce needs. While the language and priorities vary, the direction is consistent: L&D is being asked to move beyond delivering programmes and play a more strategic role in organisational performance.

Mentorship and social learning are being called out as make-or-break for 2026, echoing what we're seeing around managers and peer learning. 

Proving the impact of training is becoming harder to ignore. As L&D teams face greater pressure to connect learning with business outcomes, having a clear approach to training evaluation is essential. Our training evaluation guide explores how to measure what really matters.

And there's a growing idea in the industry being called "learning debt," essentially what piles up when organizations take shortcuts on development to move faster today. It's the same warning as our microlearning trend, just with a sharper name.

Final Takeaway: Staying Ahead in 2026

Every year, L&D gets handed a new buzzword. Microlearning, personalization, AI. It’s easy to chase whatever’s new. But the real question isn’t what’s next. It’s what’s overdue.

Across these 10 trends, several priorities stand out: developing stronger managers, creating clearer career pathways, designing learning with greater intent, connecting data across the learning ecosystem, and building capabilities that support business needs.

These priorities form the foundation for a more effective approach to learning and development. Addressing them now can help organisations build the structure and capability needed to respond to future changes with greater confidence.

Want the full breakdown with tools and frameworks for each trend? Check out our latest 2026 L&D Trend Report.