The European Central Bank (ECB) has urged the main financial institutions in the euro area to present "by October 31, 2026" a comprehensive action plan with concrete measures to address cybersecurity threats related to cutting-edge artificial intelligence (AI) models, such as Mythos, developed by Anthropic.

AI is very tempting. You draft a quick post and, before publishing it on social media, click the magic button: "Improve my post." In the blink of an eye, you have a theoretically more understandable text. You find it magnificent, accept it, and share it. You feel it captures what you wanted to explain and that it hasn't practically changed the content or modified what you wanted to say, only made it more attractive. But is it really your opinion?

Artificial intelligence has ceased to be a promise of the future to become a daily tool in consultancies: 7 out of 10 professional offices already use it in their day-to-day, according to the latest edition of the Barometer of Consulting, from Wolters Kluwer, a leading technology provider of software solutions, information, and services for professional offices and companies.

The consortium behind the project for Móra la Nova (Ribera d'Ebre) and San Fernando de Henares (Madrid) to host one of Europe's artificial intelligence (AI) gigafactories boasts unanimity. This Wednesday, Pedro Sánchez's government convened in Moncloa the representatives of who, for now, forms part of the consortium that has sponsored the project's candidacy for its first official family photo. For the Spanish government, the company that has been established for this technological project to become a reality in the State is an example of the "importance" of public-private collaboration, and it takes on even more "relevance" when considering that the companies that make up the consortium, and which hold the majority, are "leaders in their sectors," Moncloa highlighted in a statement.

With the continuity of Pedro Sánchez's government in the spotlight, the general secretary of CCOO, Unai Sordo, has come out in defense of the president of the Spanish executive: "I believe he will not step down from the presidency, nor do I think he should, he must exhaust all that remains of his term", he stated during his speech at the summer course of the Menéndez Pelayo International University and the Association of Journalists of Economic Information, held this week in Santander.

Donald Trump has not yet emerged from one war and has already declared another. The White House has just unleashed hostilities with Anthropic, the artificial intelligence giant behind the chatbot Claude. With the prohibition of the use of its most advanced models by foreign citizens, Claude Mythos 5 and its controlled version, Fable 5, Trump has forced the hand of the technology company led by Dario Amodei, which has been forced to exclude the entire product from the market due to the impossibility of filtering individual users. This is, as detailed by technology sources consulted by Empreses, a "before and after in the industry, an interference that destabilizes the market," says Josep Curto, an AI expert and founder of AthenaCore.

Philippe Aghion (Paris, 1956) won last year the Nobel Prize in Economics for his research on the impact of technology and innovation on economic development. Aghion, a professor at the prestigious Collège de France, Insead, and London School of Economics, currently focuses his work on the role of artificial intelligence (AI) in growth and how Europe can improve its policies to reduce dependence on Chinese and American tech giants.

Another course is ending. June is an intense month for teachers, many topics need to be closed and we carry accumulated fatigue. Irritable students, final recoveries, tutoring reports, final exams and a lot of heat. These are days for making memories and putting down in writing all that we have experienced. I look back and I am left with five things that have happened this course: We have returned to writing by hand. My colleague Cristian Olivé said it in an Instagram post: “AI has become the most dangerous tool in classrooms”. In order to avoid it and prevent it from completely killing creativity, I have had to dedicate entire classes to writing in the classroom and ask for writings that can be started and finished in an hour. I have avoided assigning digital work and have insisted that everything be submitted handwritten because handwriting helps to fix ideas. I myself prefer to make handwritten lists of pending tasks rather than on my mobile, because when I transfer it to paper everything looks clearer and less burdensome. Talk, talk, and talk. The AI tsunami in education has made oral presentations fundamental for assessing a topic. I'm at a point where I no longer even ask for digital support (like Canva), because it ended up becoming a reading of what ChatGPT had created. You know that teenagers save more words and avoid calls more and more, and I've noticed a decline in communicative ability. That's why I'm also a big proponent of not cutting short conversations that arise in the classroom and letting students express themselves even if it's not strictly about the lesson. The questions or interests that arise spontaneously are unrepeatable and make that class unique. Perhaps I'm romanticizing the Socratic method, but I believe there's nothing more powerful than a good conversation. Reading in the age of screens. I have noticed a growth in the number of student readers. I believe we can now banish the refrain that says young people don't read, because I increasingly see teenagers reading between classes and even during recess. At first, I found it unprecedented and rubbed my eyes as if it were a miracle; now I'm used to it. I have also seen another change in the use of mobile phones in secondary school. At my school, every morning students must leave their phones in a drawer, and we return them at the end of the day. In all the years I was a tutor in 1st year of ESO, the drawer was quite full, but for a couple of years now, the situation has declined significantly, and this year I only kept eight phones in the drawer. I believe we are all educating more consciously and responsibly about the proper use of screens.Graduations have gotten out of hand. Here I open a can of worms that might be worth a whole article, but I find the topic of graduations very exaggerated. I'm not saying they shouldn't be celebrated, mind you? It's an important milestone, especially in the second year of high school, but all these identical dresses, in bright colors and designed for normative bodies, make me reflect a lot on the aesthetic pressure (which falls on them) and on the Americanization of this act. The dining hall as an educational tool.Graduations have gotten out of hand.Many times I am asked if I don't get tired of explaining the same thing, but you can see that each course is different, and new challenges always arise that make it a changing and chameleonic job. Teachers, it has been an especially intense course, and from here I send you infinite gratitude for the commitment and vocation you have. You can already see the light at the end of the tunnel. Rest a lot.

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.

Two of the parties involved in the European AI gigafactory to be built in Móra la Nova, in the Ribera d'Ebre region, have taken a step forward to move the project forward. On the one hand, the Spanish government has approved an injection of 719 million euros to the Spanish Society for Technological Transformation (SETT), the so-called technological SEPI of the central executive, so that it can dedicate it to this future artificial intelligence factory. In addition, the Council of Ministers this Tuesday also authorized SETT to be part of the commercial company that is to drive the project and present the candidacy to Europe, which has not yet been constituted.

"The poor have understood many things", the Pope said in the Canary Islands on the same day that Space X went public and Elon Musk became the richest man in history. What we don't know is what the South African has learned humanly. Only the speed and vertigo of the changes we are going through explain that the confusion we are experiencing does not explode. In Spain, political confusion turns a pope into a moral reference in a Congress of Deputies poisoned by polarization, which applauds him unanimously for seven minutes. Each one ready to use him in their own way. It is the same confusion that turns Musk, a textbook unbalanced person with zero humanist capacity, into another reference of our times.

Artificial intelligence (AI) is already changing our lives, especially in the labor and educational fields. It has burst onto the scene with a rapid and spectacular penetration capacity. This week, university entrance exams begin: most students will surely have used AI during high school and to prepare for these exams. It is an evolving tool that they already have perfectly incorporated into their daily lives. In our jobs, we adults are noticing the same. In many cases, it is also already part of our routines.

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.

Taipei and San Francisco have this week been the scenes of a trend change in personal computing. At Computex in Taipei, Jensen Huang announced Nvidia's entry into the PC processor market with the RTX Spark chip, shaking up a sector dominated for decades by Intel, AMD, Qualcomm, and Apple. In San Francisco, Microsoft held the Build 2026 conference at a particularly symbolic moment: exactly two months after formalizing its separation from OpenAI (which has just surpassed 1 billion users of ChatGPT), the company wants to demonstrate that it can walk alone in artificial intelligence.

Elon Musk seeks to break down the doors of Wall Street. In an update to the IPO prospectus of his technology giant, SpaceX, the world's richest man has specified that it will issue 555 million shares at a unit price of $135. In this way, Musk's space and artificial intelligence insignia seeks to add about $75 billion to its capital, an amount that would consolidate it as the largest initial public offering (IPO, the technical name for a company's stock market debut) in history, surpassing that of the oil company Saudi Aramco in 2019, which raised just over $29 billion.

In Europe, the debate about children, adolescents, and technology is intensifying. There is increasing pressure to limit access to social networks and strengthen age verification mechanisms. This shift responds to a legitimate concern. But, even so, the question remains too simple: how many hours do they spend in front of a screen? Reducing the problem to a sum of hours is convenient, but it distances us from what truly matters.

Artificial intelligence (AI) data centers will skyrocket water and electricity consumption and condition the lives of billions of people worldwide. The United Nations (UN) released a report this Wednesday on the environmental cost of this revolution by 2030, and the projections are worrying. Researchers for Water, Environment and Health (UNU-INWEH) anticipate a sharp increase in energy consumption, an intensification of water conflicts, and land overexploitation. At the same time, scientists warn that most consumption occurs when large systems like ChatGPT or Gemini respond to our queries and urge the use of the "concise mode": fewer words, getting straight to the point, to obtain shorter and more direct, energetically more efficient responses.

The European Central Bank (ECB) has once again warned of the financial dangers of the artificial intelligence (AI) sector, which is growing very rapidly, especially in the United States. In a report, the European monetary institution warns that large AI multinationals may be overvalued and could cause problems in the eurozone's financial sector.

The war has begun and Elon Musk has fired first. The mega IPO of SpaceX, the all-encompassing technology company of the world's richest man, has opened the doors of Wall Street to generative AI. Although it is known for its rockets and defense contracts, SpaceX has housed xAI since February of this year, the company within the South African's conglomerate that manages its consumer artificial intelligence, the chatbot integrated into the X social network, Grok. Musk's public offering sets the path for the rest of the sector: a historically high capitalization target —$1.75 trillion— and billions raised to add to the immense computing investments that will be needed to cover growing demand. Following behind are Anthropic, the creator of Claude, which has the fourth quarter marked in red, and OpenAI, of ChatGPT, which left behind the legal problems with Musk and already has a clear path to join the New York stock exchange.

One in four Catalan workers are exposed to the implementation of artificial intelligence. Specifically, a study by the Barcelona Chamber of Commerce details that 26.5% of employed individuals have medium or high exposure, while 29% of workers would not experience any impact from the technology. By gender, women also present a higher percentage of exposure at all ages, and the gap is even more pronounced between those aged 35-44 and those aged 45-54, where 22.6% and 23.8%, respectively, could be highly affected. It should be noted that the study's exposure level does not solely measure the risk of substitution, but also the potential for task transformation.