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Wildiney Di Masi
Articles

March 2, 2026

If It Is Now Possible to Go from Idea to Product in Minutes, What Still Justifies Process?

AI drastically reduced the cost of execution, but not the cost of decision-making. And poorly made decisions only scale waste more efficiently.

inteligência artificial processo velocidade decisão estratégia de produto discovery

Over the past few months, a narrative has dominated the feed: idea to product in minutes, design systems created by prompt, interfaces generated without discovery. The speed is real and radically changes the cost of building.

But the question that actually matters is different. If I can build faster, fail faster, and correct faster, does it still make sense to invest so much time trying to avoid the mistake?

If launching has become cheap, why bother structuring hypotheses carefully, mapping journeys, interviewing users, prioritizing with rigor?

Here is the central point: not every mistake is cheap. There is the small, reversible mistake that fits inside a controlled experiment. But there is also the structural mistake — the one that misaligns the product from its value proposition, that adds complexity without real impact, that fragments the strategic narrative and accumulates invisible debt.

AI drastically reduced the cost of execution, but not the cost of decision-making. And poorly made decisions only scale waste more efficiently.

What got faster was producing screens, generating variations, writing initial code. What remains rare is choosing the right problem, prioritizing under real constraints, sustaining product coherence, managing expectations when urgent demands arise, balancing commercial promises with long-term strategy, avoiding the temptation to add AI just to keep up with the market when it diverts focus from what actually generates value.

Process will certainly change — less ritual, less formalism, less attachment to rigid stages. But structured thinking does not become obsolete just because execution got faster. The lower the barrier to execution, the greater the impact of a poorly made decision.

Maybe the new balance is: enough discovery to reduce critical risks, fast execution to validate hypotheses, continuous observability to learn from real behavior. Neither analysis paralysis nor impulsive shipping.

Because in the end, when everything can be built in minutes, the real risk stops being not delivering fast enough. It becomes delivering too fast something that never should have been created. And that is where strategy stops being discourse and becomes responsibility.