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Ideas used to be the scarce resource. GenAI changed that. So, what have startups like Cursor and established companies like Procter & Gamble figured out about innovation and generative AI? The factor that drives differentiation is the human insight that helps reframe the problem. Here’s a look at how companies are using GenAI to surface data and patterns that help people do just that — and how you can do it too.
For most of modern business times, competitive advantage belonged to whoever had the best ideas. Better ideas meant better products, which meant more customers, which meant more revenue and profit. The entire innovation industry — consultancies, design firms, brainstorming retreats fueled by sticky notes and gallons of La Croix — was built on this premise: If you could generate more and better ideas than your competitors, you would win.
That advantage has been vaporized by AI.
Generative AI has turned ideation into a full-blown utility. Today, anyone with a $20 subscription to a GenAI tool can instantly generate 100 product concepts. That has rendered the raw material of innovation — ideas — as abundant, accessible, and cheap as electricity. And here’s the thing about electricity: Nobody competes on it. You compete on what you build with it. Which means the competitive advantage has shifted upstream, from the solution to the problem — specifically, to how you identify and frame the problem in the first place.
This is something I’ve taught for years — to executives, MBA students, and others — going back to my time as a designer at IDEO. It is called Question Zero: the question before the question. Before you ask, “How do we solve this?” you need to ask, “Are we even looking at the right problem?” The quality of innovation has always been determined by the quality of problem framing. But until recently, most organizations could get away with mediocre problem framing. Why? Because ideas were scarce enough to be valuable on their own.
That’s no longer the case. When everyone has access to the same idea-generation engine, the remaining edge is the insight that tells you where to point your business. GenAI won’t give you this insight, though it can surface data and patterns that help you see it. Let’s examine why businesses continue to frame the wrong problem, examples of startups and established businesses reframing successfully, and how to get started.
Why Most Organizations Frame the Wrong Problem
If problem framing is so important, why is everyone so bad at it?
It’s because the “best” problems — the ones that lead to the most valuable, genuinely differentiated solutions — are almost always hidden. And they’re hidden for a specific, annoying reason: The people who experience them can’t tell you about them.
#Innovation #Advantage #GenAI #Give

