My head is still spinning from ATD in May. Everywhere you turned, there was another AI announcement, another product launch, or another promise about how AI was going to transform
A few months later, the picture is becoming much clearer. Organizations are moving beyond experimenting with AI and beginning to identify where it delivers real value. Rather than asking, "Should we use AI?" the question is becoming, "Where should we use AI first?"
As we head into the second half of 2026, here are five trends I believe will have the biggest impact on talent development.
1. AI Adoption Will Accelerate...But Not Equally
Nearly every learning organization is using AI today, but adoption isn't happening uniformly. Content creation, research, presentation development, and translation have become mainstream because they're easy to implement and provide immediate productivity gains.
The next wave will move toward higher-value applications like AI coaching, adaptive learning, role plays, and business simulations. These require greater investment and organizational change, but they also create far greater learning impact.
Prediction: Learning organizations will shift from asking "Where can AI save time?" to "Where can AI improve performance?
2. Practice Will Become More Important Than Content
Organizations have spent years building incredible digital content libraries. The challenge isn't access to information anymore. The challenge is helping employees apply what they've learned.
Expect to see greater investment in simulations, AI role-plays, decision-based learning, coaching, and experiential learning where employees can safely practice before applying new skills on the job. Knowledge remains important. Practice creates capability.
3. Personalized Learning Finally Becomes Practical
For years we've talked about personalized learning. AI is finally making it achievable. Employees will increasingly receive different coaching, different practice opportunities, different learning paths, and different feedback based on their role, experience, and performance.
Instead of one course for everyone pulled from a learning library, organizations will create learning experiences that adapt to each individual.
4. Learning Will Be Expected to Show Business Impact
Executives continue to ask the same question: "How is learning improving business performance?"
AI is making it easier to collect richer data, but the focus is moving beyond completions and satisfaction scores. Organizations want evidence that learning is improving decision-making, productivity, customer outcomes, sales effectiveness, leadership capability, and business results.
It won't be easy, as many factors influence learning ROI, but measurement will become a key competitive advantage for L&D teams.
5. Human Skills Become Even More Valuable
Ironically, as AI becomes more capable, uniquely human capabilities become even more important.
These skills are becoming the differentiators that AI cannot easily replace. The organizations that succeed won't simply train people to use AI. They'll train people to think, analyze, and make better decisions with AI.
Critical thinking, business judgment, communication, and leadership are the skills that enable people to get the most value from AI. Without these foundations, AI simply generates faster answers, not necessarily better ones. The greatest value will come from people who know how to ask better questions, challenge assumptions, interpret results, and apply AI to real business decisions.
If there's one factor that could slow AI adoption over the next year, it isn't the technology itself. It's governance.
As organizations move from experimentation to enterprise-wide deployment, AI governance, security, compliance, privacy, and intellectual property considerations are becoming front and center. Many employees are still unsure which AI tools they're allowed to use, what company information can be shared, and where the boundaries are.
At the same time, the economics of AI are changing. What began as a few individual subscriptions is quickly becoming a significant enterprise investment. Organizations will increasingly ask whether AI spending is incremental or whether those dollars need to come from existing technology, learning, or operational budgets.
The organizations that make the greatest progress won't necessarily be the ones with the most AI tools. They'll be the ones that establish clear governance, educate employees on responsible AI use, and make thoughtful investment decisions that align AI with measurable business outcomes.
The second half of 2026 won't be about replacing learning professionals with AI.
It will be about empowering them.
AI is reducing the time spent creating content and increasing the time available to build capability, confidence, and business performance.
The organizations that succeed won't be the ones adopting every new AI tool. They'll be the ones that combine AI with practice, coaching, responsible governance, and real business application to help people make better decisions and perform at a higher level.