Next week, thousands of learning and talent development professionals will gather at the ATD 2026
International Conference & EXPO in Los Angeles, the premier event in the talent development space. And if I had to make one overarching prediction about this year’s conference, it’s simple: AI will dominate nearly every discussion. In fact, my five predictions for ATD this year are:
The real challenge at ATD may not be finding AI. It may be finding something that doesn’t mention AI.
But what I think is most interesting is how much the conversation has evolved over the past year. The early wave of AI adoption focused heavily on efficiency: creating content faster, reducing manual work, accelerating development cycles, and automating repetitive tasks.
Now the conversation is becoming much bigger. Organizations are increasingly looking beyond AI as simply a productivity shortcut and starting to ask how AI can actually help develop people, improve performance, accelerate readiness, strengthen decision-making, and build capability at scale.
In other words, the conversation is shifting from: “How can AI help us work faster?” to:
“How can AI help people perform better?” That is a fundamentally different discussion. So beneath the obvious “everything is AI” narrative, here are the five themes I actually expect to see and hear across the conference.
1. AI Will Shift From Efficiency to Productivity
Over the past year, the AI conversation has evolved significantly.
The first wave of enterprise AI adoption focused heavily on efficiency:
Those benefits still matter, but I believe the focus at ATD this year will move well beyond efficiency.
The organizations gaining the most traction are starting to view AI as a productivity and performance accelerator rather than simply a cost-saving tool. The new question is not: “How can AI help us create training faster?” It is: “How can AI help people perform better?”
That shift changes everything.
I expect many conversations at ATD to focus on how AI can improve decision-making, coaching, leadership effectiveness, onboarding, sales conversations, knowledge application, and real-world execution, not just content generation.
2. The Differentiator Will Not Be the AI Technology. It Will Be the Experience Design.
AI role plays, simulations, coaching copilots, and adaptive learning experiences are rapidly becoming mainstream. By this time next year, simply saying a platform has “AI-powered practice” may no longer be much of a differentiator. The real competitive advantage is shifting away from the AI technology itself and toward the ability to design meaningful learning experiences around it.
That includes:
In other words, the value is no longer just the engine. It is the instructional design, business relevance, and experience architecture built around the engine.
Anyone can now generate a generic AI conversation. The harder challenge is creating an experience that actually improves performance, reinforces learning objectives, develops judgment, and feels authentic to the learner.
I expect ATD conversations to increasingly shift from “Do you have AI?” to - “How effectively is the AI designed, trained, structured, and aligned to real-world performance?” That is a much more important conversation for the future of learning.
3. Human Skills Will Become More Important, Not Less
Ironically, the rise of AI may increase the importance of fundamentally human capabilities. As AI handles more transactional and analytical work, organizations will place greater value on skills such as:
I expect many ATD sessions to focus on how organizations prepare leaders and employees to operate effectively alongside AI rather than compete against it.
4. Security, Governance, and Data Protection Will Become Major Adoption Barriers
This may become one of the biggest undercurrents of the conference. Organizations are excited about AI’s potential, but many are still struggling with:
In many companies, the technology is moving faster than the governance structure supporting it. I expect we will hear far more discussion this year about responsible AI implementation, approved use cases, enterprise guardrails, and secure deployment models. Ironically, one of the biggest things slowing AI adoption may end up being… AI itself.
5. Learning Will Be Expected to Demonstrate Business Impact
Executives increasingly want learning connected directly to business performance. Completion rates and satisfaction scores are no longer enough. Organizations are looking for stronger connections between learning initiatives and outcomes such as:
AI may actually accelerate this expectation because organizations will expect smarter systems to deliver more measurable outcomes.
Final Thought
ATD has always reflected where the talent development industry is heading. This year, I suspect the signal will be impossible to miss. AI is no longer sitting on the edge of learning and talent development. It is rapidly becoming embedded into how organizations develop people, improve performance, and build capability at scale. The real question is no longer whether AI will impact learning.
The question is which organizations will figure out how to use AI not just to create content faster, but to create more capable, confident, and effective people.
And if you are heading to ATD 2026 International Conference & EXPO next week, stop by booth 1938 and see how Advantexe Learning Solutions is combining simulation-centric learning, AI-powered practice, role plays, and experiential learning to help organizations move beyond content delivery and into real capability development.