Faced with the emergence of a truly disruptive technology, initial reactions are usually predictable. Positions oscillate between two radical extremes: closed resistance to preserve traditional forms, or absolute delegation to embrace change blindly, reducing the institution in question to a mere platform for content, applications, and algorithms. As is almost always the case, neither stance resolves a dilemma with perverse tensions, because the answer lies somewhere in between, in a position tied to three fundamental and urgent realities.

Sam Altman is glad to have been wrong. The CEO of OpenAI admitted a few days ago that the labor apocalypse associated with artificial intelligence is progressing with much less force than he himself had predicted. He expected a faster destruction of entry-level administrative and professional positions, the so-called white collars. Why? Artificial intelligence is changing work. It is automating functions. It is reducing the need for some tasks. It is forcing many companies to review processes, teams, and profiles. But something important has been discovered: that the great gain in productivity appears when AI works with people, under human judgment, within organizations capable of redesigning their processes well. The reason is simple. Artificial intelligence and people make different mistakes. They are, in mathematical terms, orthogonal.An AI can summarize a hundred-page report in seconds, sort data, compare documents, write a first draft of a text, or detect things that a saturated or tired person overlooks. It has formidable resistance to repetitive tasks. It maintains concentration. It processes enormous volumes. It executes without getting tired. The human being brings a different kind of value. It detects context. It perceives nuance. It suspects when an impeccable answer sounds absurd. It understands that a technically correct solution can be inappropriate, offensive, risky, or useless. It applies common sense, experience, responsibility, and intuition.This is where we find complementarity. AI is very good where people get tired. People are decisive where AI loses touch with reality. When both work together, the result surpasses either of them separately in many professional tasks. Professional work is not just a sum of tasks or operations. A lawyer does not just draft clauses; a doctor does not just apply protocols; a journalist does not just write sentences; a manager does not just process information. Professionals mix technique, trust, judgment, relationship, memory, and decision-making. This combination has proven to be more resilient than previously thought.The company that only sees AI as a payroll-cutting machine will miss out on an essential part of the opportunity. The company that integrates it as a lever to free up time, improve analysis, accelerate tasks, and elevate the judgment of its teams will have a much greater advantage. Altman's mistake says a lot about human work. It is more complex, contextual, and difficult to replace than many had imagined. Expressed as an algorithm, it would be: AI + Human > AI.

The human eye can analyze a satellite image in about ten minutes. Project Maven, the Pentagon's AI-powered image analysis program, in which companies like [company names missing] participate, is a different story. Palantir TechnologiesIt can process a thousand images per second. This enormous computing power has transformed The war in Iran was one of the first conflicts where artificial intelligence systems play a central role in identifying and prioritizing targets, and where processing speed dictates the pace of operations. And this is far more pronounced than in previous conflicts. The war waged by Tel Aviv and Washington against Tehran marks the large-scale debut of a technology that until recently was little more than an experiment, although Ukraine and Gaza have already witnessed some initial widespread trials.

It's the great revolution of the century. Artificial intelligence has transformed industry, finance, healthcare, and the lives of citizens. In just over three years, users have become accustomed to the technological feats of ChatGPT and other AI processors that outsource everyday tasks and decisions that previously required more time and effort. And everything points to us only being at the beginning

Rosalía owns a magnificent house on a quiet street in Barcelona's Poblenou neighborhood; naturally, as is typical in Poblenou, it's a renovated warehouse. It boasts 117 square meters, exposed beams, large windows, and a meticulously designed interior featuring high-quality materials. At least, that's what dozens of news articles suggest, with headlines like "Metal Beams and Minimalism: This is Rosalía's Impressive House in the Heart of Barcelona" and "This is the House Rosalía Stays in Whenever She Comes to Spain: An Urban Refuge Created with Industrial Motifs." The articles list details of the property, explain some characteristics of the neighborhood, and some even venture to link the house's style to the singer's current artistic phase. Almost none cite their sources. But all these details fit with a project that never came to fruition.