Invoice thinking about the end of the month

Over the years, we’ve said that AI has helped us work faster. Now the message has changed. AI presents itself not only as a herramienta product, but rather as one expanding our ability to think. Summarize, compare, research, write, plan, organize meetings, prepare trips, review documents and even complete tasks for us.

OpenAI will openly tell you about the agents they use on their own computer to complete end-to-end tasks, such as Anthropic and Google, among others, come up with the same idea: systems capable of implementation, not just responders.

This completely changes the nature of the relationship with technology. We will pay for storage first. Then using connectivity, entertainment or software. We are now forced to pay for externalized cognitive capacity. We don’t buy just one model.

We buy time, focus, analytics support, automation and type an intellectual prosthesis that is integrated into home and business life with increasing naturalness. AI is being transformed into a stable capacity for day-to-day functioning that is less likely to be used in an application and more in an infrastructure.

Now we don’t just pay for training, up-to-date skills or access to specialist knowledge; We are also forced to pay for the daily expansion of our ability to think and make decisions. In other words, let’s go with paying for learning, yes, but sometimes more for delegate some of the mental effort in an algorithmic infrastructure that functions as a stable cognitive state.

As a result, a thought that Sam Altman repeated on several occasions was so revealing: The AI ​​will tend to appear to the ministersomething we will consume continuously, just like energy or water. This phrase is impressive because it sounds like a profound transformation.

Paying for light ensured that the house would work, paying for connectivity ensured a connection to the world, and paying for software ran a business, paid for work that meant something more subtle: it guaranteed part of our ability to decide, to produce and to think. Invoice thinking about the end of the month.

The problem isn’t that the AI ​​is useful. It is and every day it will be more. The problem here is controlling its use. When a business organizes its processes with conversational assistants, integrates agents into its flows, and is used to having its team with a certain combination of models, interfaces and connectors, replacing a tester must be simple. Addiction is not just technical. It is also organizational, cultural, cognitive and strategic.

What looks like help is converted to a capa structural function. And when the leader turns into a structural, dominant person accumulates power. For this reason, the knowledge of the Internet has been a great result for mankind. Now with AI I will be the same.

Now the conclusion appears: monopolies. The FTC was warned in 2025 that alliances between major cloud providers and AI developers could affect access to critical issues, entrench complex disputes and raise barriers to entry for other actors.

The concern is not marginal. There is also little focus on models, computation, distribution and integration in work environments they concentrate a growing part of our companies’ operational intelligence. And this is not just a market assumption.

Hay además otro riesgo, más silento. The more we delegate in systems that refresh, prioritize, write, and decide, the more tempting it is to exercise some of our own abilities: wide attention, resource contrast, personal synthesis, fertile thinking, slow juice. Outsourcing areas can set us free. Externalizing criteria can weaken us.

The great paradox of this new age is that even as AI helps us think better, we may also get used to thinking less about our own business.

We must not use artificial intelligence for this urgent conversation. Of course we have to learn how to use it. The question is How to avoid turning assisted thinking into subordinate thinking. We need real competence, interoperability, open models of where we bring value, smart regulation and an educated citizenry.

If AI is to form part of the production process of a house or company, it cannot be demanded in the hands of a few people without weight and control. Because when paying for thinking is normal, defending autonomy with what we think should be a technological challenge. If it turns directly into a democratic question.