Lately we're living in an era where we have countless tools at our disposal that promise to "build products with minimal effort" — with artificial intelligence, of course.
On social media, spectacular examples appear: people who generate a landing page in two clicks, design entire interfaces without moving the mouse, or prototype ideas just by writing a paragraph. And although they're visually impressive, something doesn't quite add up.
Because if all of this were really "building products," we should be seeing deeper solutions, more relevant products, and above all, smarter decisions. But that's exactly what we're not seeing: we're confusing speed with vision, and that's a very expensive mistake when building product.
The illusion of the finished product
Tools like Lovable, v0, Stitch or Figma Make let you create prototypes in record time. And that's not a bad thing. Speed obviously matters. But with that speed comes a silent risk: starting to believe that what we see on screen is a real product.
An attractive design doesn't turn an idea into a product. It can look good, even impress, but if it doesn't solve a real need, if it isn't connected to the business or to the people it's meant to serve, it's still just an aesthetic layer.
Nor does a functional interface guarantee there's a solution behind it. That something works, navigates or responds doesn't mean it's solving the right problem. Function, without intention, is just well-structured noise.
And a flawless flow — with clear steps, smooth animations and polished microinteractions — doesn't replace a deep understanding of the problem. You can have a perfectly built journey, but if it starts from assumptions instead of real insights, it's just an elegant route to nowhere.
In many cases, what we're doing is printing structures without knowing what they should contain. As if we had a 3D printer with no purpose: able to manufacture anything, but with no guarantee of usefulness.
The real value of AI is somewhere else
The real value isn't in a generated interface. Nor in a text written by a model, nor in the speed with which you can ship something to market. The real value is in how it lets you think better.
When you know how to use it well, it becomes an extension of your reasoning. A copilot that doesn't answer for you, but helps you see more clearly. It lets you:
- Question your ideas with more precision
- Explore paths you hadn't considered
- Synthesize complex information in seconds
- Spot angles invisible at first glance
- Make decisions with more judgment, not just more data
It's not about AI thinking for you, but about you being able to think better thanks to it. There's a substantial difference between using it to generate and using it to understand: those who use it to generate produce more, but those who use it to comprehend make deeper decisions, with far more intention.
"We find that access to ChatGPT increases productivity: average task completion time decreases by 40% and output quality rises by 18%." — Noy & Zhang (2023)
This means artificial intelligence helps us work 40% faster and improves the quality of the result by 18%.
Today, when almost everyone has access to the same tools, the advantage no longer lies in speed, but in clarity. The one who simply knows how to assemble an interface won't stand out; the one who knows how to set the right direction will. In the end, AI is the same for everyone: what truly matters is how you use it and with what purpose.
Don't take it as a shortcut. Take it as a boost.
What's coming isn't an artificial intelligence that designs for you. What's coming is people who know how to think with AI. People who don't delegate their judgment, but strengthen it. Who don't wait for perfect answers, but use technology to reach better conclusions on their own. People who aren't dazzled by the output, because they're focused on the outcome.
That's augmented intelligence. That's expanded thinking. And that, more than any new tool, is what really changes the rules.
The real change isn't in what AI can do for you, but in what you can do with it. Not to produce more, but to create with more meaning. Not to replace your work, but to redesign how you work. Not to be faster, but to be clearer, more strategic, more human.
If you feel you're falling behind because you're not generating products "with AI," breathe. You're not late — you're right on time to learn what really matters:
It's not what you can build, it's how you can think.
And that's a skill that doesn't depend on the tool. It depends on you.
Sources: MIT — Noy, S. & Zhang, W. (2023). Experimental Evidence on the Productivity Effects of Generative Artificial Intelligence. SSRN.