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 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 phase will be less about experimenting with individual tools and more about integrating AI into everyday work. Organizations will need to determine which tools to support, where AI can create the greatest value, what guardrails are needed, and how employees build the confidence and judgment to use it effectively.
Some organizations are already moving quickly in this direction. Others are still working through governance, security, skills, and organizational readiness.
For Talent Development, this creates an important new mandate. It won't be enough to teach employees how to use AI tools. Talent Development will need to help people understand when and where to use AI, how to evaluate its output, how to work within organizational guidelines, and how to apply human judgment to make better decisions.
Prediction: AI adoption will accelerate, but so will the complexity surrounding it. Talent Development teams will need to navigate the competing demands of faster adoption, governance and compliance requirements, the growing cost of AI tools, and the investment required to build workforce capability. As I discussed in my previous post, AI Is Pulling Your Organization in Different Directions, the challenge won't simply be adopting AI. It will be balancing these competing forces while helping employees use AI effectively, responsibly, and with confidence.
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.
That is why I expect to see greater investment in simulations, AI role plays, coaching, scenario-based learning, and other experiences that allow employees to make decisions, see consequences, receive feedback, and try again.
As AI makes it faster and easier to create content, the differentiator will increasingly be what happens after the content: the opportunity to apply it, practice it, and build confidence before performing 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 at scale.
Instead of everyone receiving the same course, the same examples, and the same feedback, learning experiences can increasingly adapt based on an employee's role, experience, performance, and needs.
An employee struggling with a particular skill can receive additional practice. A more experienced employee can move to a more challenging scenario. A new manager can receive coaching based on the decisions they make rather than generic feedback designed for everyone. This has the potential to fundamentally change the traditional one-size-fits-all approach to learning.
The future may be less about “Here is the course you need to complete” and more about “Here is the experience you need next.”
4. Learning Will Be Expected to Show Business Impact
Executives continue to ask the same question: “How is learning improving business performance?”
Completion rates, participation, assessment scores, and learner satisfaction still have value, but they don't tell the whole story. Organizations increasingly want evidence that learning is improving decision-making, productivity, customer outcomes, sales effectiveness, leadership capability, and ultimately business results.
That means Talent Development teams will need to think about measurement much earlier in the design process. What behavior are we trying to change? What should people be able to do differently? And what business measures should improve as a result?
The strongest L&D teams won't simply demonstrate that people learned something. They'll show that something changed because of it.
5. Human Skills Become Even More Valuable
Ironically, as AI becomes more capable, uniquely human capabilities become even more important.
AI can summarize information, analyze data, generate ideas, create content, and recommend actions in seconds. But people still need to determine whether the answer makes sense. Critical thinking. Business judgment. Leadership. Collaboration. Communication. Curiosity. Emotional intelligence.
Employees will need to either develop these capabilities or strengthen the ones they already have. Without them, there is a real risk that AI simply makes it easier to produce more work without enough thought behind it. Feeding data into AI and accepting the answer is easy. Asking the right questions, challenging assumptions, recognizing what is missing, connecting insights, and making a sound decision require a very different level of thinking.
I believe this will become an important differentiator in the workforce. The people who stand out won't necessarily be those who use AI the most. They will be the people who use AI to think deeper, ask better questions, and make better decisions.
For Talent Development, the implication is significant. Developing critical thinking, business judgment, communication, leadership, and other human capabilities can't take a back seat to AI training. In many ways, AI makes strengthening these skills even more urgent.
Knowing how to use AI will matter. Knowing how to think with AI will matter even more.
What It Means for Talent Development
The second half of 2026 won't be about replacing learning professionals with AI. It will be about redefining where Talent Development can create the greatest value.
AI will continue to change how learning is created, delivered, personalized, and measured. But technology alone doesn't build capability.
The opportunity for Talent Development is to help people navigate that change: to prepare employees to use AI effectively, create more opportunities to practice, personalize development, connect learning to performance, and strengthen the human capabilities that technology cannot replace.
The organizations that move fastest won't necessarily be the ones that adopt every new AI tool. They will be the ones that use AI purposefully to help their people perform at a higher level.