For years, learning and development (L&D) teams have been asked to “do more”: create more content, develop more courses and manage more platforms — often without a clear line to business performance. However, that is all set to change. With 2025 dominated by the opportunities and uncertainties of artificial intelligence (AI), business leaders are now turning their attention to what really matters when deciding on an L&D strategy: measurable business outcomes.
As organizations face persistent skills shortages, evolving roles and rising employee expectations, L&D leaders are under pressure to connect capability-building directly to organizational outcomes. Upskilling, reskilling and continuous development are no longer HR initiatives running in parallel to the business. They are central to productivity, retention and resilience. For organizations looking to build an L&D strategy that directly supports performance in the year ahead, here are 10 key considerations.
1. Skills-Based, AI-Enabled Learning Will Become Standard Practice
Many organizations are moving away from fixed job titles to skills-first talent strategies that focus on employees’ specific capabilities. For example, instead of training everyone the same way, organizations will identify critical skills, such as stakeholder management, systems thinking or commercial decision-making, and use AI to surface gaps at the team or individual level. This approach allows teams to close capability gaps faster and support greater agility and performance.
However, organizations that don’t embrace AI or rethink how skills are introduced and maintained will find it difficult to succeed with a skills-based approach. Rolling out a framework once is not enough. Skills models must be iterative, supported by technology and integrated into day-to-day workflows to drive real adoption and impact.
2. L&D Will Be Measured on More Than Participation
In 2026, learning functions will be more tightly embedded into business strategy, using data and analytics to demonstrate clear, measurable impact on performance, retention and risk reduction. Success will no longer be judged by course completions or login rates, but by outcomes that show L&D’s role in enabling innovation, agility and competitive advantage. Far from being a cost center, L&D will become a driver of growth, transformation and sustained return on investment (ROI).
3. AI-Driven Learning Will Enable More Personalization Than Ever Before
AI will continue to unlock new levels of personalization in learning. In 2026, organizations will increasingly use AI to tailor learning paths to individual roles, skills and goals. Through the use of AI coaches, automated quizzes and dynamic recommendations, this technology will empower a whole new level of personalized learning. The benefit of this? Employees will receive training that aligns with their needs, while organizations benefit from higher engagement, better retention and improved efficiency.
However, L&D teams must work hard to ensure they don’t become over-reliant on the use of AI. Organizations still need to invest time in evaluating whether chatbots genuinely improve learning outcomes and performance, or whether they simply become a more polished, conversational version of a cluttered SharePoint site.
4. Learning Will Be Embedded Into Daily Workflows
Training has slowly been incorporated into workflows. In 2026, this will be standard practice, with learning embedded directly into tools like Slack, Teams, CRMs and so on. This means employees can learn while they work, reducing context-switching and making development a seamless, continuous part of the job.
5. Continuous Reskilling Will Replace Sporadic Training
In a fast-changing work environment, it is important to have a continuous learning culture in place. Organizations must move toward proactive reskilling to allow employees to constantly meet new business needs. This will mean skills are kept relevant, and teams can remain high performing amid ongoing technological disruption. However, it will take time to fully embed this approach, particularly as L&D teams face increasing demands and shrinking resources.
6. Leadership and Human Skills Will Remain a Non-Negotiable
As AI enables greater personalization, remote work becomes the norm and a shift toward skills-first talent practices take hold. Leaders will have a critical role in keeping teams connected and ensuring L&D initiatives deliver real value. However, it is essential that these leaders are equipped with strong human skills, including emotional intelligence, creative thinking, problem-solving, empathy and an ability to foster psychological safety. These are all essential qualities when it comes to helping people feel valued, supported and part of a cohesive team.
7. Compliance Training Will Shift From an Obligation to a Performance Enabler
Compliance training has traditionally been viewed as a chore — something to tick off the list. In 2026, this mindset will continue to shift. Compliance training will move beyond mandatory modules toward skills-based frameworks that reinforce ethical behavior, data security and responsible AI use. The focus will be on enabling risk-aware, high-performing teams, rather than just meeting regulatory requirements.
8. One-Size-Fits-All Development Models Will Disappear
We will move beyond the idea that a learning management system (LMS) filled with long, outdated eLearning modules can solve every development need or serve as the only place people learn. Effective L&D strategies reply on a blended approach, including microlearning, modular content, job aids, workshops, coaching and on-the-job practice.
The goal isn’t to create more content, but to choose the right solution for the performance issue at hand. Not every problem requires a course, and not every skills gap is fixed by adding another SCORM package. Shifting away from “LMS + eLearning = the answer” frees L&D teams from weeks of building bloated courses and allows them to focus on high-impact, meaningful interventions that actually improve performance.
9. AI Content Creation Will Need Better Governance
AI-generated content promises faster development cycles and increased efficiency, and vendors (including authoring tools) are rapidly releasing tools that make it easier than ever to produce courses, guides, quizzes and resources with a single prompt. While this can streamline parts of the learning process, it also fuels the misconception that more content automatically equals better learning.
Without clear governance, organizations risk overwhelming learners with generic, low-value material that doesn’t drive performance, but instead clutters learning ecosystems and ultimately creates more noise than clarity. AI can support content creation, but it cannot replace thoughtful instructional design, performance diagnosis or the strategic decisions needed to drive meaningful behavioral change.
10. L&D Will Be the No. 1 Retention Strategy
In 2026, career development is expected to surpass compensation as the top driver of employee retention. Roles are evolving faster than job descriptions right now, and many employees are questioning whether their current skills will still be relevant in the years ahead. Back in 2023, the World Economic Forum reported that 44% of workers’ core skills are expected to change by 2027. It reflects a sense of uncertainty across the workforce that has been bubbling under the surface for some time. And with the advancement of AI, it’s fair to assume this percentage will be far higher in 2026. As such, companies that provide clear learning pathways and visible growth opportunities stand to attract and retain the best talent, while those that don’t will see higher attrition.
Conclusion
In 2026, effective learning and development will be defined by outcomes, not activity. The most successful organizations will be those that align learning strategy with real business needs, embed development into daily work and focus relentlessly on building skills that matter. L&D is no longer about keeping pace with the latest technology trends. It is about enabling people to adapt, perform and contribute in an environment of constant change. As capability gaps continue to widen and operational pressures increase, organizations that fail to prioritize learning risk feeling the impact far sooner than expected.
