If you listened to the conversations at ATD26, you could easily walk away believing that AI is about to solve every challenge facing Learning & Development.
Faster content development.
Personalized learning.
Intelligent coaching.
Automated workflows.
The possibilities seem endless. But after a week of conversations with attendees, vendors, and practitioners. I left with a more nuanced perspective: AI is absolutely transforming L&D, but we’re still in the early stages. The opportunities are real, the need is undeniable, and despite what some headlines suggest, humans remain one of the most important parts of the equation.
Evolve’s State of the L&D Industry Report
AI Is Still in Its Early Stages
Despite the excitement, one thing became clear throughout the conference: we’re still early in the journey.
Lessons from Building AI-Generated Story-Based Learning
Many organizations are experimenting. Some are scaling. A few are seeing meaningful transformation. But very few have fully integrated AI into the way learning operates.
The questions being asked at ATD26 weren’t “Should we use AI?” They were:
Where does AI add the most value?
How do we govern it responsibly?
How do we build workforce confidence?
How do we measure impact?
What should humans continue to own?
Those are signs of a field that is moving beyond curiosity and into practical application but is still figuring out the rules of the road.
The reality is that most organizations are still building AI literacy, defining use cases, and learning what works. That’s not a weakness; it’s simply where we are in the maturity curve.
We Need AI More Than Many of Us Realize
One message surfaced repeatedly across conversations: L&D teams are being asked to do more with the same or fewer resources.
Budgets remain under pressure.
Teams are stretched thin.
Business leaders want faster solutions.
Learners have less time available for formal training.
Learning and Development in the Age of AI – A Guide for Managers
Sound familiar?
AI has the potential to help address many of these challenges.
It can accelerate content development, assist with research, generate first drafts, summarize information, create learning assets, support performance support systems, and help personalize learning experiences at a scale that would have been difficult just a few years ago.
In other words, AI isn’t simply a shiny new technology.
For many L&D teams, it’s becoming a practical necessity.
The organizations that gain the greatest advantage won’t be those that use AI to replace people. They’ll be the ones that use AI to amplify the capabilities of their people.
The Human-in-the-Loop Isn’t Going Away
Perhaps my biggest takeaway from ATD26 was that the most successful AI implementations still rely heavily on human expertise.
Showing Up Human at ATD26 – Making Meaningful Connections in an AI-Driven World
Across countless examples, AI performed best when paired with experienced human judgment.
AI can generate content.
Humans ensure accuracy.
AI can create learning assets.
Humans ensure relevance.
AI can recommend solutions.
Humans provide context, empathy, coaching, and strategic thinking.
In fact, many of the strongest AI success stories weren’t about eliminating human involvement, they were about shifting human effort toward higher-value activities.
The future isn’t AI versus humans.
It’s AI plus humans.
The skills that matter most are human centric and are more critical than ever in an AI-enabled world.
Consulting, facilitation, coaching, relationship building, critical thinking, change leadership, and business acumen.
The Technology Is Improving, But It’s Still Working Out the Kinks
One observation that stood out while walking the expo floor was that many vendors are still figuring out exactly how AI fits into their products.
AI Enablement Is a Learning & Change Challenge – Not a Technology One
Nearly every platform now includes AI capabilities. Some were impressive. Some felt transformational. Others felt more like features added because customers expect to see AI somewhere in the interface.
The technology is advancing rapidly, but it isn’t perfect.
There are still challenges around:
Accuracy and hallucinations.
Content quality and consistency.
Data privacy and governance.
Integration into existing workflows.
User adoption and trust.
Demonstrating measurable business impact.
These are not criticisms; these are just how things evolve and progress.
Many of today’s AI-powered learning technologies feel like where eLearning authoring tools, LMS platforms, and virtual classrooms were during their early years. The potential is obvious, but the market is still learning what works best.
Organizations should be excited, but they should also be thoughtful.
Where do we go from here?
Leaving ATD26, I felt both optimistic and grounded.
Transform Your Learning Strategy – The L&D Strategy Accelerator
Optimistic because AI is already transforming how we design, deliver, support, and measure learning.
Grounded because technology is still evolving, organizations are still learning, and many of the challenges we’re facing aren’t technology problems, they’re people, process, governance, and change management challenges.
The Intersection of Change and Learning
The biggest lesson for me?
AI isn’t replacing Learning & Development. It’s transforming Learning & Development.
The organizations that succeed won’t be the ones that chase every new AI feature. They’ll be the ones that thoughtfully combine technology, human expertise, and business strategy to create better learning outcomes.
We’re still early.
There will be missteps.
There will be experimentation.
There will be plenty of lessons learned.
But after ATD26, one thing feels certain: AI is no longer a future conversation for L&D. It’s a present-day capability that every learning organization needs to understand, evaluate, and intentionally integrate into the way it works.