The temptation now exists for anyone in talent development to make training so rigorous, structured,
and scripted with AI tools that it leaves no room for spontaneity, discovery learning, or exploration.
As someone who has designed and delivered sophisticated business simulations for decades, I'm wired to encourage learners to explore, try different approaches, fail, learn, and try again. Some of the greatest learning moments I've witnessed have occurred when something completely unexpected happened during a learning experience.
But over the past several months, as everyone has started using AI assistants to do their work, I've noticed a concerning trend. Training programs are becoming bloated with AI slop, too many PowerPoint slides, and a rigid focus on cramming more information into less time.
Apparently, if AI can create 100 PowerPoint slides in 30 seconds, we're now obligated to show all 100 to learners. And just to make sure we're getting our money's worth, we should probably add a 40-question knowledge check at the end.
This approach risks starving learners of opportunities to think, explore, and discover. Ultimately, it also starves companies of the talent they need to make decisions that drive business success.
The people designing these programs probably think they're being efficient. But in practice, this approach can be lazy, ineffective, and potentially very expensive.
The goal of training isn't to get through the content. The goal is to develop people who can think and perform when the content doesn't have the answer.
What Happened to Spontaneous Learning?
One of my favorite things about facilitating a business simulation is watching learners discover something they weren't expecting.
Maybe they make a pricing decision that increases revenue but destroys profitability. Maybe they invest heavily in customer satisfaction, only to discover their operating costs are growing faster than customers' willingness to pay. Or perhaps they make a perfectly logical decision, only to discover their competitors have made an equally logical decision that changes everything.
These are wonderful moments because learners are experiencing something no PowerPoint presentation can replicate. They're thinking, questioning assumptions, debating alternatives, and discovering the consequences of their decisions. Sometimes they're even arguing with each other, which I absolutely love.
Spontaneous learning happens when people have the freedom to explore ideas, ask unexpected questions, experiment, and make connections that weren't necessarily anticipated by the instructional designer.
That doesn't mean learning should be unstructured. Quite the opposite. Great spontaneous learning requires thoughtful design, clear objectives, and an environment where exploration is encouraged.
Think about the best teacher, coach, or mentor you've ever had. My guess is what made them memorable wasn't their ability to follow a script. It was their ability to recognize a learning opportunity and take advantage of it, even if that meant abandoning the script.
That's what concerns me about AI-enabled training. We're getting so good at producing and organizing content that we're forgetting to leave room for the unexpected.
Five Ways to Keep Learning Spontaneous in the AI World
I'm a huge advocate of AI in learning. I believe it will fundamentally transform talent development. But the key is using AI to create better learning experiences, not simply more content.
Here are five things every talent development professional should consider.
1. Stop Trying to Fill Every Minute with Content
Somewhere along the way, instructional design became a competition to see how much content could fit into a program.
I've seen agendas where every minute is accounted for, every slide is scripted, and every discussion has a predetermined answer. There's barely enough time for a bathroom break, let alone an interesting conversation.
AI is making this worse because creating additional content has become ridiculously easy. But just because you can create another module doesn't mean anyone needs to experience it.
Build breathing room into your programs. Allow learners to debate questions, challenge assumptions, and explore interesting ideas. If a discussion is producing valuable insights, don't automatically shut it down because slide 47 is supposed to start at 10:35.
The most important learning moment might not be on your agenda.
2. Design Experiences Where Learners Don't Know the Answer
One of the biggest problems with traditional training is that we spend too much time teaching people the right answers and not enough time teaching them how to figure things out.
In the real business world, leaders rarely receive neatly organized case studies with five multiple-choice answers and helpful explanations of which one is correct.
They receive incomplete information, conflicting priorities, limited resources, competitive pressures, and a boss who wants an answer by Friday.
That's why I'm such a believer in business simulations and experiential learning. They create environments where people make decisions, experience consequences, and adapt their thinking.
AI can make these experiences even more powerful by introducing unexpected customer reactions, competitive moves, and financial challenges. But the learner must still do the thinking.
If AI provides the answer before the learner has struggled with the problem, we've missed the learning opportunity.
3. Give Facilitators Permission to Go Off Script
I've worked with extraordinary facilitators over the years, and they all have something in common. They know when to stop teaching and start listening.
They recognize when a participant asks a question worth exploring, when a group needs a different approach, and when an unexpected discussion becomes more valuable than the planned activity.
Unfortunately, too many programs treat facilitators as delivery mechanisms for content. Click the slide. Read the talking points. Ask the prescribed question. Move to the next slide.
At that point, why not replace the facilitator with an AI avatar and save everyone the trouble?
Great facilitators connect learning to real business challenges, encourage healthy debate, and help learners discover insights for themselves.
AI should give facilitators more freedom to do these things, not turn them into highly paid PowerPoint operators.
4. Make Room for Failure, Debate, and Disagreement
One thing I've noticed in corporate training is an almost obsessive desire to make everyone comfortable and successful.
Every exercise has a clear answer. Every activity ends positively. Every participant is reassured they're doing a wonderful job.
That's nice, but it's not necessarily learning.
In business, people make bad decisions. They misinterpret data, underestimate competitors, overestimate demand, and invest in strategies that don't work. Learning to recognize and recover from mistakes is an essential leadership capability.
I'd much rather have learners make a terrible decision in a simulation and spend 30 minutes debating why it happened than successfully complete an exercise where the answer was obvious.
AI can be a tremendous asset here. Imagine an AI-powered customer challenging a sales professional's assumptions, a virtual board member questioning a leadership team's financial strategy, or a competitor responding unpredictably to a pricing decision.
These experiences create wonderful opportunities for spontaneous learning, provided we don't script every possible response and eliminate the uncertainty.
5. Measure What Learners Can Do, Not How Much Content They Completed
Here's where business acumen comes into the conversation.
Companies invest billions in talent development because they expect a return. They want better leaders, stronger sales professionals, more effective managers, and employees who make better business decisions.
Yet we continue measuring too much training through attendance, completion rates, satisfaction scores, and knowledge checks.
Congratulations! Everyone completed the 12 modules, passed the quizzes, and gave the program 4.8 out of 5 stars.
But can they make better decisions? Can they handle difficult customer conversations, recognize the financial implications of operational decisions, or adapt when strategies stop working?
Those are the outcomes that matter.
The real return on learning comes when people transfer what they've experienced into better job performance. That requires opportunities to think, experiment, make mistakes, and adapt to unexpected situations.
Spontaneous learning isn't a nice extra. It's part of developing the capabilities organizations are paying for.
The Irony of AI and Spontaneous Learning
Here's what I find particularly interesting.
AI should be the greatest catalyst for spontaneous learning we've ever had.
Think about it. We now have technology that can generate realistic business scenarios, play difficult customers, simulate competitive reactions, challenge assumptions, and provide individualized feedback.
We can create dynamic learning environments that would have been almost impossible or prohibitively expensive just a few years ago.
And yet, some organizations are using this extraordinary technology to produce more slides, more scripts, more modules, and more content.
It's like buying a Ferrari and using it to deliver pizza three blocks away.
The opportunity isn't to use AI to make training more rigid. It's to make learning more dynamic, exploratory, challenging, and relevant to the real world.
We should design experiences where learners are genuinely curious about what happens next, where decisions have consequences, and where facilitators can follow the learning rather than simply follow the agenda.
Because when people return to their jobs, the world isn't going to hand them a script. Customers will behave unpredictably, competitors will change strategies, markets will shift, and leaders will have to make decisions without knowing exactly what happens next.
If we want people to perform in an unpredictable business world, we need to stop designing learning experiences where everything is predictable.
That's the real opportunity for AI in talent development. And if we get it right, the most valuable part of the learning experience might be the part nobody planned.
