If you still talk about six fingers, you missed AI’s evolution in 2025
For some people, talking about artificial intelligence has become almost a game of pointing out mistakes. The image has six fingers. The text sounds artificial. The video is fake. This became a kind of collective comfort: as long as AI made mistakes, we felt safe.
But insisting on this kind of criticism is like complaining that GPS gets a street wrong while everyone else is already using real-time navigation to decide routes, schedules and even business strategies. The problem is no longer the machine’s error. It is the human delay in learning to work with it.
In the corporate world, AI has stopped being technological research and become work infrastructure. It is no longer merely creating isolated images or texts. It is organizing processes, connecting tools, synthesizing decisions, structuring knowledge and accelerating entire cycles of intellectual production.
The point is to develop how you ask for, validate, integrate and use what it delivers.
Companies that already understand this do not treat AI as a creative oracle, but as an operating system for productivity. They structure good instructions, define quality criteria, ask for justifications, demand consistency and, above all, place AI inside real workflows as a supervised collaborator.
That will be 2026.
The difference between those who “use AI” and those who work with AI lies in the ability to turn intention into instruction, a response into a decision and content into a reusable asset. It is not about knowing how to write a “clever” prompt, but about understanding context, constraints, risks and business objectives.
That is why, for those who have made the shift, discussions do not revolve around perfect images or impressive texts. They address automation with control, task-specific assistants, systems that interact with real documents and the transformation of the same knowledge into multiple formats, from reports, presentations and videos to executive decisions.
And perhaps this is the uncomfortable point for many professionals: when AI stops making visible mistakes, it also stops serving as an excuse. You can no longer say “that is for people with time to spare” or “it is not ready yet.” It is ready enough for those willing to learn to use it methodically.
In this scenario comes the familiar cliché: the risk is not being replaced by AI. The risk is being replaced by someone who knows how to work with it better.
As happened with spreadsheets, presentations, data analysis tools and the internet itself, competitive advantage has never resided in the technology alone, but in fluency. In the ability to turn a tool into a result.
The question is no longer whether AI will make mistakes. It will! The real question is: do you know how to structure work so that, even when it makes mistakes, it generates value?
Rogerio Melfi is CPO of PilotIn, a fintech that helps Brazilians become the pilots of their financial lives.
📌 Originally published in Época Negócios