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.
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