Top Learning and Development Trends for 2026

Top learning and development trends for 2026 are the shifts that will define how your people build skills, adapt to change and stay productive. They centre on stronger leadership, confident use of AI and a smarter mix of human and technical skills.

Organisations are putting real weight behind leadership development so managers can guide teams through uncertainty, while also upskilling people in AI and automation so they work with new tools, not against them. AI is also powering personalised learning paths, with data used to predict future skill gaps and track what actually works. Learning is moving into the flow of work, with resources available at the moment, and programmes are flexing around hybrid teams who split time between home and office.

As AI takes on more routine tasks, human centred skills such as critical thinking, adaptability and collaboration are stepping into the spotlight, supported by wellbeing and resilience programmes that help people handle stress and change. Team effectiveness is rising up the agenda, especially for dispersed teams, and content is becoming shorter and more engaging through microlearning and gamification. For managers, these trends change how you support performance, motivate people and keep skills current, which is where the right eLearning Company becomes essential.

Top learning and development trends for 2026 at a glance: 

  • Stronger leadership and AI fluency: focused investment in leaders and in helping teams work confidently with AI and automation.
  • Personalisation and skills data: tailored learning paths built from real usage data, plus analytics that identify skills gaps early.
  • Integrated learning in the flow of work: resources embedded into everyday tools and workflows, designed for hybrid and remote teams.
  • Human centred skills and wellbeing: critical thinking, adaptability, collaboration and resilience moving to the heart of L&D strategy.
  • Content innovation: microlearning, scenario based modules and gamification that keep attention and make learning easier to remember.
  • Stronger measurement and impact stories: moving beyond completion rates to show behaviour change and business outcomes.
  • Smart use of external partners: blending internal expertise with specialist content providers and platforms.

These trends overlap, but together they give you a clear roadmap for where learning and development should focus between now and 2026.

If you are exploring external support to help deliver on these priorities, partnering with the right eLearning Company can make the shift far easier.

Our guide to How to Choose the Right eLearning Provider walks you through the questions that help you evaluate partners with clarity rather than guesswork.


LD footer  

L&D Guide Sign Up

 

 

What are the top learning and development trends for 2026

The top trends for 2026 revolve around three big shifts.

First, organisations are treating leadership and management development as a business continuity issue rather than a discretionary extra. When change is constant, the quality of day to day management has a direct impact on performance, retention and wellbeing.

Second, AI has moved from experiment to everyday tool, which raises expectations about both skills and productivity. People need to understand how to use AI responsibly and creatively, not only follow instructions written by somebody else.

Third, L&D is expected to prove value through data, not just participation rates. This is driving the move towards skills based planning, clearer success metrics and personalised learning journeys that are easier to justify in budget discussions.

Across sectors, L&D functions report that their top priorities are addressing skills gaps, supporting change and improving performance in measurable ways. Industry reports such as the LinkedIn Workplace Learning Report consistently highlight the same pressures: aligning learning with strategy, equipping managers and keeping pace with technology.

Why L&D trends matter for organisations and teams

Trends in learning and development are not abstract. They influence decisions about hiring, promotion, technology investment and organisational design. When L&D teams understand the direction of travel, they can:

  • Anticipate which skills will be scarce and design programmes early.
  • Help managers navigate uncertainty, rather than simply reacting to it.
  • Integrate learning into daily work so training time feels valuable, not disruptive.
  • Demonstrate impact with data that resonates in boardrooms.

Ignoring these trends usually leads to familiar problems. Skills gaps widen, talented people leave because they do not feel they are progressing and managers struggle to implement change. In contrast, organisations that respond proactively tend to see stronger engagement, faster adoption of new tools and a more adaptable workforce.

The rise of stronger leadership development in 2026

Leadership development is not new, but its scope and urgency have changed. In 2026, leaders are expected to manage hybrid teams, navigate AI disruption, uphold wellbeing and inclusion and still hit commercial targets. That combination demands more than a single leadership course. It calls for a deliberate, ongoing approach that links leadership behaviour to business outcomes.

How leadership training is evolving

Traditional leadership programmes often focused on generic competencies such as communication or delegation. The new wave of leadership development is more contextual and more tightly aligned with strategy. Typical shifts include:

  • From generic to role specific: designing leadership pathways for first line managers, middle managers and senior leaders, each mapped to the real challenges they face.
  • From classroom to blended journeys: combining short digital modules, live virtual sessions, coaching and practice activities that take place on the job.
  • From one time events to continuous development: creating recurring cycles of learning, application and feedback, supported by tools that remind managers to use new skills in real conversations.
  • From solo learning to social learning: using cohorts, action learning sets and peer coaching so managers learn from one another rather than in isolation.

Leadership content is also becoming more evidence based. Programmes draw on research into psychological safety, motivation and behaviour change, not only on anecdotal experience. Many organisations are using bite sized digital learning to reinforce key concepts between workshops, so managers are nudged to keep developing even when diaries are full.

Why managers need new skills for uncertainty and change

The leadership skills that matter in 2026 are shaped by uncertainty. Managers need to be able to:

  • Explain change clearly and honestly, including the role of AI and automation.
  • Balance task focus with empathy and support for wellbeing.
  • Facilitate collaboration across locations, time zones and cultures.
  • Use data to make decisions while still exercising judgement.
  • Notice early warning signs of burnout or disengagement in dispersed teams.

These skills are not optional. When change programmes fail, the root cause is often that managers lacked the tools or confidence to lead their teams through the transition. Investing in leadership development is therefore a risk management strategy as much as a people initiative.

Practical ideas for strengthening leadership development

L&D leaders who want to elevate management capability in 2026 can:

  • Introduce short, focused learning sprints on specific skills such as coaching conversations or leading through ambiguity.
  • Pair new managers with experienced mentors and provide both with structured discussion guides.
  • Encourage senior leaders to record short video messages that model the behaviours promoted in programmes.
  • Integrate leadership behaviours into performance reviews and promotion criteria so development feels relevant, not optional.

The more leadership development is woven into everyday processes, the more likely it is to stick.

ALT TEXT: A group discussing L&D trends

AI fluency and automation skills for the modern workforce

AI is now embedded in productivity tools, knowledge platforms and lines of business systems. That means AI skills are no longer confined to data scientists or developers. Every role that interacts with information, processes or customers is affected. Employers increasingly expect people to combine domain expertise with AI fluency and workers who lack these skills often feel exposed.

Upskilling teams to work confidently with AI tools

AI fluency is about more than knowing which button to press. It includes understanding:

  • Where AI can genuinely add value in the workflow.
  • How to frame prompts, questions or tasks in a way that produces useful results.
  • How to check AI generated outputs for accuracy, bias and relevance.
  • How to protect data privacy and comply with organisational policies.
  • When human judgement must override an automated suggestion.

Effective L&D teams are building AI upskilling into broader capability plans rather than treating it as a standalone topic. They design role specific scenarios that show how AI can support real tasks, such as drafting proposals, summarising complex documents or suggesting learning resources. Hands-on practice is essential so that people experience AI as a co worker rather than a threat.

A simple way to start is with AI experimentation labs. These can be short sessions where employees bring real tasks, try AI tools with guidance and share what works and what does not. This demystifies AI and often generates practical ideas for improving everyday workflows.

How AI is reshaping roles and responsibilities

As AI takes on routine and repetitive tasks, roles are being redesigned. In many cases, the work that remains is more complex and more human. People spend more time on judgement, relationship building and problem solving and less on manual data processing.

For L&D, this means two things. First, it reinforces the importance of human centred skills such as critical thinking, customer empathy and collaboration. Second, it creates a need for reskilling pathways, so individuals whose tasks are heavily automated have a clear route into new roles.

Skills frameworks and internal mobility programmes become key tools for managing this transition. L&D can partner with HR and workforce planning teams to:

  • Identify roles at risk of significant automation.
  • Define target roles that align with business needs and employee strengths.
  • Build structured reskilling journeys that combine formal learning with supervised practice.
  • Communicate clearly about opportunities so employees feel supported rather than replaced.

Organisations that take this approach tend to protect their employer brand and retain valuable institutional knowledge.

AI powered personalisation in learning

Personalisation has been a long standing aspiration in L&D. AI has made it more realistic. Instead of one size fits all courses, organisations are starting to offer adaptive learning journeys that respond to what individuals already know, how they prefer to learn and what the business needs them to do next.

Tailored learning paths driven by real data

AI powered learning platforms can analyse interaction data, assessment results and role profiles to recommend the most relevant content. Typical features include:

  • Diagnostic assessments that identify existing strengths and gaps.
  • Learning recommendations based on role, career aspirations and previous activity.
  • Dynamic playlists that adjust as people complete modules or demonstrate skills in practice.
  • Adaptive quizzes that become easier or harder depending on performance, which keeps learners in the optimal challenge zone.

For L&D teams, the advantage is that personalisation at scale no longer relies on manually curating journeys for thousands of employees. Instead, they can define rules and guardrails, then use AI to handle the detailed matching of content to individuals. This frees practitioners to focus on content quality, stakeholder engagement and evaluation.

Many organisations are now turning to an eLearning Platform that can deliver this level of personalisation automatically, using AI to match content to roles, goals and real performance data.

Predicting future skill gaps through analytics

Beyond tailoring, AI and analytics can help organisations anticipate which skills will be under pressure in the future. By combining internal data, such as job moves and learning behaviour, with external signals about market trends, L&D leaders can:

  • Spot emerging skills that need early investment.
  • Identify teams or locations where capability is lagging.
  • Model the impact of automation on particular roles.
  • Build scenario plans that show how different skill investment choices might affect future performance.

This kind of insight supports more strategic workforce planning. It also strengthens the case for L&D investment, because recommendations are backed by evidence rather than intuition.

Balancing personalisation with fairness and governance

As personalisation grows, questions about fairness and governance become more important. L&D functions need to be confident that:

  • Recommendation engines are not unintentionally excluding certain groups.
  • Data used for personalisation is accurate, relevant and handled transparently.
  • Employees understand how their data is used and can correct mistakes.

Collaboration with HR, legal and data protection teams is essential. Clear communication helps learners feel that personalisation is genuinely there to support them, not to monitor them.

Learning in the flow of work

Learning in the flow of work means giving people access to support and resources while they are doing their jobs, instead of asking them to step away from work for long periods. As workloads increase and attention spans are stretched, this approach becomes essential. People are more likely to use learning that is available in the systems they already use and that answers the question they have at that moment.

Embedding resources into daily tasks for quick access

In practice, learning in the flow of work often includes:

  • Short videos or checklists surfaced inside collaboration tools such as Microsoft Teams or Slack.
  • Contextual help within applications, for example how to complete a new process step.
  • Searchable learning libraries that return concise answers, not long courses.
  • Job aids and templates that can be downloaded and used immediately.
  • AI powered assistants that point people to the right guide, checklist or module as they work.

Designing for the flow of work requires close collaboration between L&D, IT and operational leaders. The aim is to map critical workflows, identify where people get stuck and insert quick, relevant support at those points. Content must be tightly focused and updated regularly, or employees will simply bypass it.

How learning fits hybrid and remote teams in 2026

Hybrid working is now embedded in many organisations. Learning strategies that assume everyone can attend the same classroom session no longer reflect reality. Instead, L&D needs to:

  • Offer flexible access times so remote workers are not disadvantaged.
  • Use virtual classrooms that encourage participation rather than passive listening.
  • Blend live sessions with asynchronous resources so people can catch up.
  • Ensure leaders understand how to support learning in distributed teams.
  • Make it easy to access learning on mobile devices for colleagues who are often on the move.

When learning is designed with hybrid teams in mind, it can actually strengthen cohesion. Shared digital resources, collaborative assignments and cross location cohorts help people connect beyond their immediate office, building broader networks and shared understanding.

Personal learning journey book

Learn How To Create Personal Learning Journeys For FREE!

Download a free copy of our latest book
The definitive guide to creating personal learning journeys and why they're the future L&D
Download My Free Copy

 

Human centred skills rising in importance

As AI and automation expand, the skills that remain uniquely human become more valuable. Skills reports emphasise that capabilities such as complex problem solving, communication, creativity and collaboration are central to organisational resilience.

Critical thinking, adaptability and collaboration

Critical thinking allows people to question assumptions, evaluate information and make sound decisions, especially when AI is generating options at speed. Adaptability helps them adjust when processes, tools or markets change. Collaboration underpins almost every complex project, particularly when work crosses functions and locations.

L&D teams can support these skills by:

  • Incorporating problem based learning into programmes, where participants tackle realistic scenarios with incomplete information.
  • Encouraging cross functional projects that expose people to different perspectives.
  • Embedding reflection activities so learners practise examining their own thinking.
  • Using storytelling and case studies to show how human judgement adds value alongside data.

These capabilities are not confined to leadership populations. Front line employees, specialists and support staff also need to be able to interpret data, collaborate across boundaries and adapt to new expectations.

Why resilience and wellbeing underpin performance

Resilience and wellbeing are no longer peripheral topics. They are fundamental enablers of performance. Without them, even the most technically capable teams struggle to sustain effort and quality. Many employees report feeling under chronic pressure and factors such as job design, autonomy and recognition all influence wellbeing.

L&D can contribute by:

  • Integrating wellbeing content into leadership and manager programmes, so people leaders understand their role in shaping healthy work environments.
  • Offering short modules on topics such as boundaries, focus, rest and energy management.
  • Normalising conversations about workload and stress in development activities.
  • Encouraging team level agreements about communication norms, for example when emails are expected to be answered.

Crucially, wellbeing initiatives need to align with organisational practices. Training that tells people to look after themselves while rewarding overwork will quickly lose credibility.

Team effectiveness for dispersed and hybrid teams

Dispersed teams are now common, whether because of hybrid policies, international operations or flexible working arrangements. The ability of these teams to collaborate, share knowledge and solve problems together is a major determinant of organisational success. Learning and development plays a central role in equipping people with the skills and frameworks to work effectively across distance.

Building collaboration across distance

Effective collaboration in dispersed teams involves more than giving people video conferencing software. It requires:

  • Clear norms about how and where to communicate different types of information.
  • Shared rituals, such as regular check ins, retrospectives or learning circles, that build connection.
  • Skills in facilitating virtual meetings so that quiet voices are heard and discussion stays productive.
  • Tools that make it easy to co create documents, share feedback and manage tasks.

L&D initiatives can introduce these practices, but they also need reinforcement from leaders who model good behaviour. For example, if senior managers always schedule meetings at times that suit one region only, teams will infer that collaboration norms are optional.

Supporting psychological safety and communication

Psychological safety, the belief that it is safe to speak up with ideas or concerns, is particularly important in hybrid and remote teams where informal cues are harder to read. Development programmes can:

  • Help leaders recognise behaviours that encourage or suppress contribution.
  • Provide phrases and techniques for inviting input and handling disagreement constructively.
  • Encourage teams to set shared expectations about communication, including how quickly people are expected to respond and which channels to use.

When psychological safety is present, people are more likely to share learning, admit mistakes and ask for help. This accelerates improvement and reduces the risk of small issues turning into serious problems.

Content innovation in L&D for 2026

The formats that L&D teams use are changing. Long, text heavy courses are giving way to more varied, engaging content that respects time constraints and attention limits. This shift is not about novelty for its own sake. It is about designing experiences that learners actually complete and remember.

That is why high quality eLearning content is becoming essential, especially when teams need resources that are short, practical and easy to apply at the moment.

Microlearning that fits around busy schedules

Microlearning breaks content into short segments that can be completed in a few minutes. For busy employees, this makes learning more manageable and easier to integrate into the working day. Effective microlearning:

  • Focuses each piece on a single, clear objective.
  • Uses plain language and practical examples.
  • Includes a prompt to apply the idea immediately, such as a question to reflect on or a small action to try.
  • Links short pieces into coherent pathways rather than scattering disconnected nuggets.

Microlearning is particularly powerful when combined with learning in the flow of work. For example, a manager preparing for a performance review might access a three minute module on giving balanced feedback directly from their HR system, watch it, then go straight into the conversation.

Many organisations start by transforming existing content into eLearning, turning long documents or workshops into short digital modules that people will actually use.

Gamification that keeps learning engaging and memorable

Gamification uses elements such as progress indicators, challenges, badges or leader boards to make learning feel more engaging. When done well, it increases motivation and repetition, which supports retention. The emphasis for 2026 is on purposeful gamification rather than superficial gimmicks.

L&D teams are using techniques such as:

  • Scenario based simulations where learners make decisions and see the consequences, then receive feedback.
  • Team based challenges that encourage collaboration and discussion.
  • Progress tracking that shows individuals how far they have come in building a particular skill.
  • Branching storylines where choices lead to different outcomes, which mirrors the complexity of real work.

The best examples tie rewards to meaningful behaviours, such as completing practice activities or sharing insights with colleagues, rather than simply logging in.

Strengthening measurement and impact in 2026

One of the clearest trends for 2026 is a demand for stronger evidence that learning works. Senior leaders want to know how investment in L&D translates into performance, risk reduction or strategic advantage.

Moving beyond completion rates

Completion rates and satisfaction scores still matter, but they are no longer enough. L&D teams are broadening their approach by:

  • Tracking behaviour change indicators, for example how often managers use coaching questions in 1 to 1 meetings.
  • Linking learning to operational metrics such as error rates, customer satisfaction or sales conversion.
  • Using pulse surveys before and after programmes to track shifts in confidence or capability.
  • Collecting qualitative impact stories from participants and their managers.

The goal is not to claim that learning alone caused an improvement, since many variables are involved, but to build a credible narrative that shows contribution. For managers who want clearer ways to track progress, our list of key L&D KPIs offers practical measures that go beyond completion rates and tell a richer performance story.

Designing with measurement in mind

Impact measurement is easier when it is built into design from the start. Before a programme launches, L&D practitioners can ask:

  • What problem is this programme trying to solve?
  • How will we know if that problem is improving?
  • Which data do we already collect and which indicators can we realistically track.
  • Who needs to see the results and in what format.

By agreeing answers to these questions upfront, L&D teams can avoid generic reporting and focus on metrics that decision makers care about.

How to prepare your organisation for 2026 L&D trends

Knowing the trends is only useful if it leads to action. Preparing for 2026 means reviewing your current learning strategy, tools and capabilities, then making intentional choices about where to invest. For many organisations, this involves shifting from fragmented training activities to a more coherent, skills based approach.

Part of that review often involves selecting external support. I’ve created a guide on How to Choose the Right eLearning Provider which explains how to assess partners in a way that aligns with your strategy, not just your budget.

Assessing skills, planning capabilities and gaps

A practical starting point is to assess where you are now. Useful questions include:

  • Do you have a clear view of the critical skills your organisation needs over the next two to three years.
  • Can you map existing skills at least at team or function level.
  • Are leadership and human centred skills embedded into development plans, not treated as optional extras.
  • How well is learning integrated into daily workflows and hybrid working patterns.
  • What data do you have on learning activity, completion, satisfaction and impact?
  • Where are learners most frustrated with current learning experiences?

From there, you can identify gaps in both capability and infrastructure. You might discover that leadership development is strong but AI fluency is patchy, or that content is high quality but hard to access in the flow of work. These insights then inform prioritised roadmaps rather than ad hoc initiatives.

If you want practical steps to strengthen your approach, our guide to Enhancing Training & Development in Your Organisation offers strategies that reinforce many of the trends emerging for 2026.

Building a simple roadmap

A 12 to 24 month L&D roadmap does not have to be complicated. It might include:

  • Quarter 1 to 2: clarify skills framework, pilot AI literacy modules, refresh a core leadership programme.
  • Quarter 3 to 4: roll out learning in the flow of work resources for key processes, implement basic learning analytics dashboards.
  • Year 2: extend personalisation, expand reskilling pathways for roles affected by automation, deepen measurement of impact.

The important thing is to balance quick wins, which build credibility, with longer term investments.

Why partnering with an e-learning company accelerates progress

Building all of this in house can be challenging, especially for smaller L&D teams. Partnering with an e-learning company can accelerate progress by providing:

  • Ready made libraries of high quality microlearning that cover core topics such as leadership, communication, wellbeing and AI skills.
  • Platforms that support AI driven personalisation, robust reporting and integration with existing systems.
  • Design expertise to translate business goals into blended learning journeys that fit your culture and constraints.
  • Support with evaluation, so you can demonstrate impact to stakeholders with confidence.

The right partner will adapt content and technology to your context rather than imposing a rigid model. They will also help build internal capability, so your own L&D team becomes more strategic over time.

Conclusion

By 2026, learning and development will sit far closer to the centre of organisational strategy. Leadership, AI fluency, personalisation, human centred skills and stronger content will not be separate initiatives. They will work together as one approach to building capability and resilience.

For L&D leaders, the opportunity is clear. When you act on these trends, you help your organisation handle uncertainty, keep talent engaged and make learning part of everyday work. It means backing your managers, giving people the confidence to work with AI, supporting wellbeing and choosing tools that make personalisation and measurement possible.

It also means being honest about priorities. No team can cover everything, so you need to decide what comes first and what can wait. Leadership capability, AI literacy and learning in the flow of work are often the best starting points because they unlock progress across so many other areas.

The organisations that thrive in 2026 will be the ones that treat learning as a strategic asset. Assessing skills, refining programmes and choosing the right partners now will put your people in a stronger position for whatever comes next.

If you want to support building digital learning that fits your culture and goals, our Bespoke eLearning can turn your strategy into practical, engaging experiences that work in the real world.

Sean photo

Sean is the CEO of Skillshub. He’s a published author and has been featured on CNN, BBC and ITV as a leading authority in the learning and development industry. Sean is responsible for the vision and strategy at Skillshub, helping to ensure innovation within the company.

Linkedin | Twitter

 
LD footer  

L&D Guide Sign Up

 

Updated on: 20 January, 2026


Would your connections like this too? Please share.