The "Wow" Fallacy: When "Wow" Isn’t Enough

In the world of product design, management, and marketing, we hear a lot about the "Wow effect." It's that moment of awe when you experience a product or service and are instantly dazzled. It grabs you, wows you, and convinces you—on the spot—that you must have it. But here’s the catch: a "Wow effect" doesn’t make a good product.

A good product isn’t about the first five seconds of amazement; it’s about the next five months of utility. It’s about solving a real pain point and integrating seamlessly into your life. Think of the teleshopping effect—products that seem groundbreaking on TV but end up gathering dust on your shelf. They dazzled but didn’t deliver.

AI’s New Wow Effect: The Prototype Mirage

With AI, this fallacy has reached new heights. AI can stage the perfect "Wow effect." It can generate something impressive, something that feels borderline magical—because, let’s face it, watching a machine pull off something a human could do (or even better) never fails to turn heads.

But here’s the warning: many AI products are just prototypes in disguise. They’re not fully-fledged solutions; they’re polished concepts. You try the demo and think, This is incredible! But days later, the shine wears off, and you realize: it doesn’t actually solve anything meaningful. Or worse, it makes you think, I can do this faster my old way.

Prototypes Aren’t Products

And this is the pitfall. With AI, the speed and ease of creating high-quality prototypes have skyrocketed. What used to take months or even years to sketch out can now be whipped up in weeks. And that’s amazing! AI supercharges creativity, empowering product designers to explore concepts faster, with fewer resources and remarkable clarity.

But—and this is critical—a prototype is still a prototype.

It’s a communication tool, not a finished product. Its purpose is to gather insights, refine ideas, and test assumptions. AI makes it easier to show early, show fast, and iterate sooner. But it doesn’t bypass the hard work of creating something robust, reliable, and valuable.

The real challenge begins where the prototype ends. A good product demands industrial-grade reliability, relevance, and viability. AI is expensive to scale, and no amount of dazzling demos can cover up a product that doesn’t solve a problem.

The Trap for Product Managers

AI prototypes have a unique way of fooling us into thinking they’re further along than they really are. They look so good that we forget they’re still in their infancy. This is where product managers and companies must tread carefully. Don’t confuse a "better-looking prototype" for a "production-ready product."

It’s not a viable product until it creates value and solves a user’s problem—not just during a demo, but in real life, day after day. AI’s magic lies in augmenting our ability to iterate quickly, but it’s not a shortcut to bypass the crucial steps of product development.

So, yes, marvel at the possibilities AI offers. Show early. Show often. But remember: the "Wow effect" is just the beginning. Real success lies in turning that initial "Wow" into sustained value—because a product that wows and doesn’t work is just another fantasy waiting to be shelved.