Confidence among talent development leaders has slipped, budgets are tighter, and AI is rewriting the job description. So what does the future of L&D look like?
In a live Q&A with ATD’s Head of Research Services, Dr Rocki Basel, and Zensai’s Chief Human Success Officer, Nina Carøe, these are the questions that came up most, and a single clear answer to each.
How do we prove L&D impact when the board only speaks in numbers?
The pressure is real, and ATD’s research shows why. The 2026 State of the Industry Report found the TD Executive Confidence Index has fallen to 63.1, with only 28% of leaders expecting more financial resources ahead. Yet just 13% of organizations measure ROI across all their programs, and over half don’t measure it at all.
A better dashboard won’t fix that. Rocki’s advice is to stop arriving with problems and start arriving with solutions, in the language executives already use. When her team asked the C-suite what they actually care about, the answer was employee engagement, productivity, and time-to-readiness. Not course completions.
Nina goes further. The need to “prove ROI” usually surfaces when learning hasn’t been tied to what the business is chasing this quarter. Pick the one or two outcomes your leadership cares about most right now — AI adoption, faster onboarding, value per employee — and speak straight into those.
You earn the seat by being the solution-finder, not the report-runner.
If AI can make the content, what is L&D actually for?
The job stops being about producing material. It becomes about enabling growth and making it visible. Nina’s read on the future of L&D is that most development already happens in the flow of work: in the manager conversation, the stretch project, the problem solved on a Tuesday. People just rarely notice they’ve grown. The move is to use AI to surface that progress, so someone can see how far they’ve come and where they’re heading.
That visibility is what keeps learning relevant and strategic. It ties everyday growth to the goals the business cares about, instead of leaving it buried in a course catalog. Rocki adds the practical piece: use AI to clear the repetitive work, so the team can spend its time on strategy and the relationships that move things forward.
Is AI going to replace my L&D team?
Both experts give the same answer: no, but the work changes. AI can’t build relationships, and it always needs human oversight.
AI coaching is the clearest example. Rocki’s research shows it works, especially for always-on, personalized feedback. But it lands best paired with a human coach who brings the emotional intelligence software can’t. So double down on the human side: the relationships, the judgment, the read of a room.
Be honest about the limits, too. Nina points to the productivity myth. Individual time savings that don’t yet show up at company level, because we haven’t worked out how people and AI work together.
And reframe the fear. Asking people to “rebuild what they do with AI” makes them freeze, because they hear replace yourself. You’re letting go of the parts of the job you never wanted, not the parts that matter.
Is AI building capability or just churning out more content?
This is the quiet trap of the AI era. Content is no longer the constraint; it can be generated endlessly. Relevance and quality are.
Nina and Rocki landed in the same place. More content isn’t progress. The human job now is curation; deciding what’s worth someone’s time and what genuinely moves the business forward. Measure capability, not consumption. Learners are asking for exactly this: ATD found that two-thirds want more time and more opportunities to learn not more material to wade through.
What should our strategy, operating model, and tooling become?
Keep investing in the evergreen skills: critical thinking, communication, the interpersonal judgment that holds value whatever the tools do. Then layer AI literacy and data skills on top.
Rocki notes that L&D teams have long been uncomfortable with numbers, and this is exactly where AI can lift them. Nina shared a very real example: she now turns data into feedback her leadership team can act on.
Then rethink the tooling. The old LMS tracked course completions and little else. What’s replacing it reads signals from the work itself: development goals, manager check-ins, the conversations already happening in Teams, And now coaches in the moment with agentic AI.
That’s the system Nina is building toward at Zensai: learning, performance, and engagement connected as one, rather than three tools that never talk to each other.
What’s quietly reshaping L&D right now?
Rocki’s research surprised her in one direction. Most organizations still give employees no guardrails. No guidance on which tools are allowed, or what data can go in. People are learning to write prompts by trial and error.
The opportunity is obvious. L&D and HR should be leading the AI governance group and owning AI literacy across the business, not waiting for an invitation. The teams that step up here become the AI leaders their organizations are already looking for.
What the future of L&D really comes down to
Every question above is really the same question: where does L&D matter when AI can do so much? The answer the data and both experts keep returning to is the human one. Prove value in the board’s language, design learning into the flow of work, curate for quality over volume, and own the judgment AI can’t replace.
None of that is a defensive crouch. It’s the most strategic the function has ever been positioned to be. And the future of L&D belongs to the leaders who see it that way.
The full conversation with Nina Carøe and Dr Rocki Basel goes deeper than we can here. Watch the full conversations here.