“Microsoft built the concept of office work because they wanted to sell more software”

For many, the office work and spending eight hours a day in front of a screen is little less than a unnatural torture for the human being. In fact, this type of “knowledge work” is a relatively recent inventionwhich has been evolving as an adaptation of technology to the world of work. Aravind SrinivasCEO of Perplexity has gone a little further by ensuring that office work is an invention by Bill Gates to carry out his plan to bring a PC to every desk. Srinivas developed his hypothesis during his interview at the Joe Rogan Podcast and even left the presenter confused. “Microsoft built the concept of office work because they wanted to sell more software.” Gates’ dream Srinivas links the creation of office jobs directly to the Microsoft founder’s historical obsession with putting a computer in every house and on every desk. “That idea of ​​putting a PC on every desk and making you glued to it was Bill Gates’ vision,” explained the Perplexity CEO. It’s no secret. Gates himself has repeated that same idea for decades: he wanted a computer in every house and on every desk. In fact, his vision of the future of computers was published in the specialized press of the time even before Microsoft sold its first BASIC. Rogan, in his direct style, summed up the merit of Gates’ plan with a powerful phrase: “Wow, genius. What an achievement, because they certainly nailed it.” The truth is that it is difficult to contradict him. Few business strategies have changed the daily routine of billions of people as much as the arrival of computers and office automation in the world of work. A masterstroke from Microsoft Srinivas’s thesis is that the 9 to 5 job in front of a screen was not a natural evolution of employment, but a Microsoft business plan so that people used computers all day. The more hours and more people worked in front of a screen, the more software licenses were sold. According to the manager, the office routine was designed to create a daily dependence on Word and Excel, starting in schools, so that companies would then pay for these licenses. The juiciest part of the interview is the contrast between the two founders. According to Srinivas, Microsoft’s goal was never design. “It was not about making computing beautiful, as Steve Jobs conceived it,” he said verbatim, marking the difference with Apple. Jobs was pursuing something else: machines almost obsessive in their aesthetic care, which he himself defined as ‘insanely great‘. Microsoft, on the other hand, sold hardware to put software on top of. The more time you spent in front of the screen, the more licenses you needed. Microsoft’s business was not about creating a beautiful product, it was about generating dependency of your tools to sell licenses. Microsoft invented Office, not the office Despite Srinivas’ shocking statements, Bill Gates did not invent the eight-hour day nor office work. Its history comes from long before, from workers’ struggles of the 19th century and laws like Fair Labor Standards 1938 in the United States. What is true is that, as Rogan pointed out, “this type of lifestyle is something very recent that we have come to accept as normal.” The scientific evidence testifies that, with the arrival of computers and technology, the productivity at work skyrocketed. That Microsoft won that game by contributing to the increase in that productivity It is undeniable. Word, Excel or PowerPoint have been training entire generations since school. When these students arrive at their first job, they already know how to use those tools and companies pay for the license without thinking twice. In Xataka | Companies have returned to the office to improve productivity: a McKinsey study is not so clear Image | Unsplash (Jan Baborak), Flickr (European Parliament), Xataka

“In three or four years it is possible that there will no longer be anyone developing software here”

SAP is one of the largest software companies in the world, so when its CEO states that in a very short time there will be no one programmingthings are going to get really complicated for software engineers. Christian Klein, CEO of SAP, assured in an interview for Financial Review that: “Software development is the function most affected by AI, and there is a possibility that in three or four years there will no longer be anyone developing software at SAP.” Klein’s statement is not a pressure maneuver on his employees, but is part of a strategy that the manager has been building for months, and which now has a name: the Autonomous Company. A company that wants to reinvent itself from within. SAP has more than 110,000 employees worldwide and is the largest software company in Europe. Of those 110,000 employees, more than 30,000 hold software development positions. That means Klein hopes be able to automate work which today employs more than 27% of its workforce with AI agents. The CEO shares the idea that the vibe coding It allows someone without technical training to generate software from natural language instructions. Klein, just like Like many other senior technology managers, he sees this as the beginning of the end for programmers. as we know it currently. That is, the role of the software developer will no longer be linked to the generation of the code, but to your supervision. SAP does not fire, it replaces. However, what Klein wanted to make very clear is that, although SAP will tend to reduce the number of software developers on its staff, that does not mean that it will lay off its employees. They will simply go to develop other roles within the company to meet new development needs. Klein explains that the workforce will change and product managers, who previously barely programmed, will start working alongside experts from different sectors to create new AI agents. “We need product managers who know how to read code and understand business. Although the demand for developers is low, we need more data scientists,” says the manager. Looking for AI trainers, not programmers. According to data from the latest study On global trends on the future of work prepared by ManpowerGroup, AI skills have surpassed engineering and computer science as the most difficult to find, with 72% of companies having difficulty filling these positions. The profiles Klein describes, product managers who understand how AI works and design AI agents, do not yet exist in quantity. what the industry needs. Developer confidence in the code generated by AI fell from 40% to 29% in a single year. 46% of professionals actively distrust these tools. 45% of the code generated by AI contains errors serious safety issues. Klein talks about a future without programmers, but today’s data shows that human supervision is still the difference between a reliable product and one with holes. In Xataka | Richard Liu, CEO of JD.com: “When robots deliver packages, the day will come when delivery drivers will no longer be needed Image | SAP, Unsplash (Becomes Co)

The best websites to download free applications and other software safely

We bring you a small list with the 14 best websites to download applications and programs safelyso you can find the tools you need for your computer. Some pages of this type can end up playing tricks on you by installing programs that you did not want without your permission, so it is a good idea to have on hand those that are safe and recommended. Here, the recommendation is always download the programs from the official website as far as possible. But sometimes, when you want to install more than one or want to find different types of tools, it can also be useful to turn to third-party repositories, and sometimes even the developers themselves may upload their tools there. GitHub We start with GitHub, which continues to be one of the reference portals to find and download open source projects. Its goal is to offer a platform for developers to upload their creations, which can range from tools to games. On the Github pages you will find the source code of these creations, so that everyone can freely access them. In the profiles of most programs uploaded to Github repositories you can also find download sectionswhere you can download the source code or installer of each application or tool. They are clean and safe installers, controlled directly by the developers, who are the ones who decide to offer their program for free. SourceForge It is, together with Github, the other great platform for hosting open source programs. In it, developers will be able to show the rest of the users the code of their tools, and you will also have a download section to download them on the platforms for which they are compatible. It has a voting and comment system so you can see the opinion of other users about each of the projects, and a search engine so you can find the one you need. In addition, in the file for each program you have its license, the list of updates, screenshots and everything you need. AlternativeTo This website has been a great reference for years for those who want find applications similar to others. Come on, if you want an alternative to a certain application, search for that program and it will show you a list of all those that are similar. In both the reference app and the alternatives you will have sheets that tell you about them, and links for downloads. They do not host the programs, they take you to the links of their official websites, notifying you if there is any warning that the tool has recently contained a virus. European Alternatives This is another page where you can find alternatives to popular applications and services, but it focuses on offer you European alternatives. Thus, if for your privacy you prefer to search European alternatives to browsers, office services or social networks, this is the portal to visit. Ninite Ninite It has been one of the most recommended websites for downloading applications for a few years, especially when you need to download several at once and don’t want to have to deal with dozens of downloads. Ninite offers you a single installer to install multiple applications at once selected by you. This makes it an essential portal to equip new computers. Its repertoire of applications is small, but just by entering the website you can see a list with all the available tools organized by categories. So you just have to choose the applications you want to installand then the website will generate a link for you to download them all. MajorGeeks This is a website specialized in the dissemination of freeware, which is what proprietary software is called that, without having to have open source, decides to disseminate completely free of charge. This means that it is the creators themselves who have decided to distribute it for free. All programs offered are of high qualityalthough the catalog is not very extensive. The appearance of the page is old, but keeps updating with great frequency. In addition, this design also means that you can access it from any device. You will install all the applications easily without an installer that tries to sneak in additions. APKMirror All the websites that we have told you so far are designed for computer applications. But this is the most important website to download Android apps. It is the best repository of APK files that you are going to find, although I already warn you that sometimes browsing it is a little confusing due to the lot of advertising it has. The website of this service has an index with the latest app updates, and also a search engine and a category system in which you can discover new applications or games. In addition, you can also find to download the different versions that the same application has had. F-Droid Possibly this is the great alternative to APKMirror when it comes to offering you installable files for your Android mobile. It is another of the pages where you will find the same apps as in the official application stores, but also other completely free ones that are not in them. Flathub This is the reference application store for those looking for Flatpak apps for GNU/Linux. On this website you will find the latest versions of your favorite Linux applications, which They will work for any distribution that you are using. SnapFiles A repository to download all types of applications, with different categories for different types of free app licenselike one for freeware and another for shareware. It also gives you a list of latest releases and some useful app suggestions so you can discover new programs. It also includes a category for portable applications that do not require installation, something useful if you want to carry the most useful ones on a USB. In addition, it also has a list of the best rated ones. In each program you will be able to see … Read more

so that the software still fits on a floppy disk

We have become accustomed to software weighing more and more. We see it in applications that take time to download, in simple tools that come with too many layers and in services that promise convenience in exchange for take up more spaceconsume more resources and depend on more invisible parts. That is why it is striking that, in 2026, when much of the technological conversation revolves around AI and increasingly ambitious systems, there are those who claim an idea that seems to have come from another era. The initiative is called Fits on a Floppy and part of a manifesto published by developer Matt Sephton. Its rule is as simple as it is striking: an application that wants to show off its badge must have a total download size of less than 1.44 MB, the capacity of a classic 3.5-inch floppy disk. The text itself summarizes it with a direct phrase, “the software has lost its way”, but its proposal is not to miss the physical support, but to recover the discipline that was imposed by working within very narrow limits. For a long time, making software was also about giving up. If something was not necessary, was left outbecause memory, storage and user patience had a very visible limit. Then came a different stage: the teams they began to have more margindownloads stopped feeling like an adventure, and the size of an app stopped being a central concern. There a dangerous door began to open. The software has not gained weight by accident Not all of that growth came from adding visible features. Much of it came underneath, in the form of layers that the user does not always see: libraries, engines, update systems, components designed to support more than one version of the same product and dependencies that allow progress to be made faster without solving each problem from scratch. That way of building makes sense in many cases, especially when you want to maintain the same product in several systems. But the scale also changes. This is where the real value of Sephton’s proposal comes in. Fits on a Floppy is not trying to show that everything should be compressed to fit into 1.44 MB, but rather that an artificial restriction can serve to prioritize. If an app is born to solve a specific task, the manifesto asks that it download quickly, start without waiting, consume few resources, be native and avoid unnecessary dependencies. The underlying idea is simple: the less baggage a tool carries, the easier it is to understand what it does, why it does it, and how much it costs to maintain it. The question, then, is whether this discipline can once again have a journey outside the manifesto. In some software, probably yes. We are not talking about browsers, video editors or services with integrated artificial intelligence, but rather small utilities, single-function tools and native applications that often do not need to carry a huge architecture. There Sephton’s argument is stronger: if the objective is limited, the size should also be limited. Not out of nostalgia, but because a simple tool has fewer excuses to behave like a full platform. The other side of the story is that much of the software is not going to get smaller. Many current applications are no longer just a window with a specific function: they integrate accounts, synchronize data, offer real-time collaboration, work on multiple systems and they accumulate functions that were not part of a desktop application years ago. All of this may be justified, but it weighs. That’s why the promise of returning to lightweight software has clear limits. For many products, the real question will not be whether they can fit on a floppy disk, but whether they are growing out of necessity or accumulation. The beauty of the floppy disk, in fact, is that it no longer seems reasonable. Precisely for this reason it forces us to look at the software from another place and ask ourselves if all that weight responds to a real need or to an accumulation that no one dared to review. Fits on a Floppy is not about stopping the evolution of modern tools or denying that many need to be big. Its usefulness lies elsewhere: reminding us that efficiency is also a design decision, and that the size of an application says something about how it was intended. Images | Fernando Lavin In Xataka | iOS 27 doesn’t leave any iPhone behind, but WatchOS 27 can’t say the same with Apple Watches

Software engineers have become AI overseers. Another profession is going the same way: lawyers

AI already writes faster than many professionals, making it a powerful ally in administrative and legal textsthus lightening the most tedious workload for humans. The problem is that it is an efficient tool, but not infallibleso supervision of its results is necessary. That is, it saves you only part of the work, but maintains the obligation to monitor the results. That is just what the TSXG has put on the table in one case which affects a Galician lawyer, against whom the Galician High Court has opened a case for procedural bad faith after detecting a written appeal with AI in which he had invented 24 legal quotes to argue it. The resource under suspicion. The Superior Court of Xustiza of Galicia maintains that the document presented “multiple spurious citations, non-existent resolutions, others that have nothing to do with what was discussed, or directly invented.” According to the Galician court, the appeal accumulated a series of errors that cannot be attributed to human error, but rather respond “to a notable lack of diligence in professional performance.” The resolution adds that the text followed a “curious structure in the way it was written”, something that the court relates to the use of free generative AI. Although, above all, the TSXG disgraces the lawyer for the lack of subsequent verification to stop the “constant ‘hallucinations’” of the system. Lack of review. As the Galician court’s brief highlights, the procedural bad faith of which the lawyer is accused does not lead to a malicious use of deception, but rather “evidence conduct revealing obvious negligence on the part of someone who, considered an expert in procedural rules and respectful of the deontological principles of his profession, entrusted his work – to what we believe -, without further review, to what the algorithm proposed, omitting the diligence of verifying the existence of what he cited, trusting perhaps in which the abundance of references would not only go unnoticed by this Court, but would also give authority to its assertions.” That is, it is a warning to navigators that AI can speed up writing, but it does not know if a sentence exists or if a decontextualized quote serves to support a legal argument. That process of screening and supervision is still human, and that role of supervising results will be a key piece in the future of the practice of law. Engineers have already changed. The process of changing roles that the legal profession will undergo in the very near future (in fact, as we see, it has already begun) with the arrival of AI is not something new. Software engineers and programmers were the first to experience it. AI is gaining prominence when writing the code of large technology companies like googleMicrosoft and even Anthropic already generates much of its AI with its AI But, at the same time, the engineer has not disappeared, but has gone from having a role as a producer to one of a supervisor who analyzes the results provided by the AI. By that same reasonthe technological have reduced the hiring of junior personnel, who until now were dedicated to those more tedious tasks, and have accelerated the hiring of seniors with the most trained eye for detect errors and inconsistencies in the code. From legal advisor to legal supervisor. The comparison between what is already evident in big technology companies and what is coming in law firms is quite evident. AI is not going to end the figure of the lawyer, but it will generate a shift in work roles towards the supervision of legal texts. In fact, as how I collected Reuterssome law firms are already requiring their junior associates to know how to use and supervise AI. We are only facing one of the cases derived from the improper use of AI in legal texts that have been occurring in recent months. According what was published by Iberley In February, the Superior Court of Justice of the Canary Islands established a financial penalty for a lawyer who had used AI to generate an appeal that contained a total of 48 jurisprudential citations. invented by an AI. Regulate the use of AI for judges. In reality, the impact of AI in the legal field goes beyond its use in drafting routine legal resources and briefs. In Spain, judges have already been sanctioned for using ChatGPT in drafting something as compromised as a sentence. In April 2026, the General Council of the Judiciary (CGPJ) opened a file to a magistrate for having “evaded his jurisdictional functions” by leaving the drafting of a sentence in the hands of an AI. As a result of this case and other controversies, the General Council of the Judiciary has had to approve a “guide” aimed at the use of AI in the judicial career, so that it is established how this tool should be used so as not to incur a neglect of one’s legal responsibilities. Who knows if one of those new professions to be created in the future it will be that of supervisor of sentences. In Xataka | “Unpresentable” and meaningless: the court declares a dismissal unfair due to a letter generated with an AI Image | Unsplash (Romain Dancre and Solen Feyissa)

The ‘vibe coding’ promised to democratize software. Your first gift is 5,000 apps with open sensitive data

An investigation by the firm RedAccess has found more than 5,000 applications created with tools vibe coding which practically lack authentication. Anyone who stumbles upon its URL can enter. Of those 5,000, 2,000 appeared to contain private data upon inspection. The finding covers apps generated with Lovable, Replit, Base44 and Netlify, four of the platforms that have most popularized describing a program with words and letting a LLM write it. Why is it important. The promise of vibe coding is that anyone, without knowing how to program, can build software. The catch is that this same “anyone” also doesn’t know what questions to ask an application before releasing it on the Internet. The result is a new category of breaches caused not by careless employees or advanced attackers, but by people who have thrown together an internal tool in an afternoon without going through anyone on the security team. In detail. Researchers have located these applications by doing normal searches on Google and Bing, combining the domains of each platform with generic terms. Nothing of hacking: It’s more like reverse engineering a search engine. What appeared behind those URLs included hospital quadrants with doctor data, company strategy presentations, complete records of chatbot conversations with customers (with names and telephone numbers), and freight books from transport companies. In some cases, access even allowed them to gain administrator privileges and expel others. Between the lines. The platforms involved have responded with the predictable argument: it is the user’s fault. Replit remembers that its apps can be marked as private with one click. Base44 maintains that its access controls are robust and that disabling them is a conscious decision. Lovable points out that its role is to provide tools, not configure them for anyone. It is a valid argument and, above all, comfortable. It is also the same one that Amazon used with the buckets Misconfigured S3 leaking Verizon data or from WWE: the setting was there, but the user didn’t find it. The context. He vibe coding takes an old problem to a new level. Every time a layer of abstraction has democratized a craft (like spreadsheets, the wrappers of AI or web templates), the newly arrived group has arrived without the baggage of good practices that the previous one had. What changes now is the speed. Someone from a non-technical department can create a tool in two minutes and upload it to production without it going through IT. Yes, but. The AI ​​models that generate the code are not neutral agents. They do what is asked of them, no more, no less. If no one tells them “protect this in X way and implement Y,” they won’t do it. Security by default is still not a learned behavior in most of these tools, and that is a design decision of the platforms, not the end user. The consequence is foreseeable. There are going to be many more leaks like the ones RedAccess has caught before the industry internalizes that a “publish” button should not coexist with a privacy setting hidden three menus below. In Xataka | I have lived the “miracle” of vibe coding: this is how I programmed an Android TV app without having any idea about programming Featured image | Xataka

The US has invested 16 years and 8 billion dollars in renewing the software of its GPS network. Result: a failure of epic proportions

The Next-Generation Operational Control System project (OCX) was going to modernize the constellation of the United States’ more than 30 GPS satellites. The company RTX Corporation (previously known as Raytheon) managed to win the project in 2010 with a budget of 3.7 billion dollars. The project was supposed to be completed in 2016, but in reality the US has spent $8 billion and 16 years later has an absolute disaster on its hands. 16 years of broken promises. In 2010 the iPad had just appeared on the scene and cloud computing was a somewhat diffuse concept. The project of the US Government was reasonable, and proposed that the OCX system be operational by the time Lockheed Martin’s new GPS III satellites debuted. The development became a chaos of bugs and requirements changes, and to this day it is unclear when, if ever, it will be completed. In Xataka 90% of Iran’s oil industry depends on a tiny island. One that is already on the radar of the US and Israel A fortune invested. The financial management of the project is the first big disaster. The initial budget was estimated at 1.5 billion dollars, but since the award until today that figure has risen to reach almost 7.7 billion of current dollars, to which another 400 million are added to support an improved version of the satellites, the GPS IIIF. This increase is not due in large part to the project suddenly being much more ambitious or more capable, but rather to the costs of having been fixing everything that has gone wrong since they started working on it. Software costs more than satellites. Every time software fails an integration test, the bill runs into tens or hundreds of millions of dollars. That has made the OCX system one of the most expensive and least efficient software projects in recent US military history. In fact, it far exceeds the cost of the satellites themselves that it had to control: the 22 GPS III satellites of the contract signed in 2018 have a budget of 7.2 billion dollars. Satellites of the future controlled by a fairground shotgun. Currently the United States has a fleet of GPS III satellites in orbit capable of emitting much more powerful “M-code” signals and interference resistantsomething that among other things allocates them especially for military applications. The problem is that since the OCX software not workingthey are managing them with control systems inherited from the 90s. It is as if we had a VHS video connected to watch movies on an 8K Smart TV: the potential is there, but one of the components is an absolute bottleneck. {“videoId”:”x8wlh9q”,”autoplay”:false,”title”:”United States vs. China: The CHIPS WAR”, “tag”:”webedia-prod”, “duration”:”1611″} The cybersecurity nightmare. One of the big problems of this project has been the cybersecurity requirements. OCX was designed to resist cyberattacks from powers such as Russia or China, but that requirement has become a spectacular technical burden. Pentagon standards have evolved so quickly that they have not been able to be adapted to an architecture that begins to become obsoleteand covering successive patches is locking the system in a complex vicious circle: the software is never finished because more and more vulnerabilities appear. Failed tests. The latest report from the Government Accountability Office (GAO) has been the final straw. During the tests the system again showed once again instabilitywhich has forced the final delivery to be delayed to the end of 2026 or even 2027. Frank Calvelli, of the Air Force, has expressed his dissatisfaction with that unacceptable management of private industry: the strategic advantage that this project should offer at a time like this is inaccessible due to the disastrous progress of the project. It’s not that difficult. for a long time the excuse for justify the delays was that OCX was “the most complex software ever created for space,” but other players in the sector have shown that achieving these types of technical milestones is possible. SpaceX has demonstrated this with technical “miracles” like its reusable Falcon 9 or with the development of Starship, for example, so those arguments are falling on deaf ears now. Waiting for a better GPS. These problems also affect us end users, who will not be able to enjoy the L5 signals for now. This much more robust frequency will significantly improve accuracy in urban centers with many tall buildings. The irony is tragic: we cannot use extraordinary space infrastructure because the base stations cannot cope with it. While waiting for the problems to be resolved, the learning is clear: the software cannot be a monster that takes 16 years to build In Xataka The GPS in the Baltic has been experiencing interference for months and the culprit is becoming increasingly clear: Russia And while as always, China. While the US crashes against its project to renew the GPS constellation, China has once again managed to “become independent” from Western technology. Your satellite navigation system Beidouit does not replace GPS, true, but It already complements it in 140 countries. Once again China’s long-term view has its obvious result: it has taken 20 years in deploying its constellation, but they already surpass the GPS system in metrics such as signal availability or integrated messaging services. Europe, by the way, also has its own alternative. In Xataka |GPS “dead zones” are spreading around the world: jammers are to blame for confusing drones (function() { window._JS_MODULES = window._JS_MODULES || {}; var headElement = document.getElementsByTagName(‘head’)(0); if (_JS_MODULES.instagram) { var instagramScript = document.createElement(‘script’); instagramScript.src=”https://platform.instagram.com/en_US/embeds.js”; instagramScript.async = true; instagramScript.defer = true; headElement.appendChild(instagramScript); – The news The US has invested 16 years and 8 billion dollars in renewing the software of its GPS network. Result: a failure of epic proportions was originally published in Xataka by Javier Pastor .

Jensen Huang believes he has found the perfect new bonus for software engineers. Not Stocks: AI Tokens

The CEO of Nvidia has been converting the AI tokens at the center of all their public conversations. Jensen Huang’s latest idea links these tokens to the efficiency of engineers and how the best engineers in the world are recruited: in addition to a generous salary, offer them an amount equivalent to half their annual salary in AI tokens as part of the hiring package.​ Huang verbalized his proposal during the inaugural speech of the GTC 2026 conferenceNVIDIA’s largest annual event for developers. In a later interview, the Nvidia CEO detailed that engineers would earn “a few hundred thousand dollars a year as a base salary,” and the intention would be to give them “probably half of that, also, in tokens, so they can multiply your productivity times ten”.​ What Huang proposes already has a name: Tokenmaxxing. In one podcast appearance ‘All-InHuang said he would be on “high alert” if an engineer earning $500,000 didn’t spend at least $250,000 a year on tokens. “If that person said (that he has used tokens worth) $5,000, I would go completely crazy,” Huang stated. When asked if NVIDIA planned to spend $2 billion on tokens for its engineering team, as proposed, Huang responded: “We’re trying.”​ As and how they counted in The New York Timesthat has generated a phenomenon called “Tokenmaxxing“, with which engineers brag about the number of tokens they consume to try to improve the perception of their productivity: the more tokens you consume, the more productive you are. Tokens as bonuses are a trend in Silicon Valley. The CEO of NVIDIA is not the only one who thinks this way, and the use of tokens as an extra work benefit it’s soaking among investors in the sector. Tomasz Tunguz of Theory Ventures stated to Business Insider that “companies are incorporating AI inference as a fourth component of engineer compensation: salary, bonus, stock and tokens.” The interest of whoever sells the chips. The NVIDIA CEO encouraging everyone to spend more on tokens is not disinterested advice. Gergely Orosz, analyst at software engineeringhe pointed it out bluntly in a publication from AND he added an analogy that sums it up accurately: “It’s almost as if the CEO of Apple said, ‘If someone who makes $500,000 a year doesn’t spend at least $50,000 a year on in-app purchases on iOS, I’d be deeply alarmed.’ And yes, you would be, because that would reduce the revenue you generate.” Huang is the head of the company that manufactures the chips for AI on which most of the world’s artificial intelligence runs. Huang himself made it clear to his investors: “Without computing, there is no way to generate tokens. Without tokens, there is no way to grow revenue,” he declared, describing his data centers as “token factories” whose demand will only grow as AI agents proliferate.​ Do not confuse value with price. However, Huang has incurred a bias when arguing his idea: confusing value with price. Orosz formulated it clearly in a message in X : “The advice that engineers should use tools that make them more productive IS correct… except that the cost of tools should NOT be what we focus on. Some of the most useful tools are very cheap. Of course, vendors will focus on selling the most expensive and most profitable tools.” Productivity is not measured in tokens spent, but in results achieved. The right question for companies should not be whether their employees use more AI, but whether increased use of AI is rewarded. with greater productivity. In Xataka | Customers demand that a human solve their problem. The surprising thing is that if humans serve them they think they are an AI Image | NVIDIA, Unsplash (Arif Riyanto)

The most profitable action of the AI ​​revolution in Spain is not a software company. It is a construction company

We know Florentino Pérez ample by hire galactics and for his business successes, but a priori we would not easily relate him to the rise of AI. And by not doing so we would make a serious mistake, because the manager managed to see before anyone else that this was a huge opportunity… and he is taking advantage of it almost without us realizing it. what has happened. ACS is a construction company that doesn’t seem particularly fascinating. You lay bricks, asphalt and cement, but in 2025 the data tells a fascinating story. The company obtained a net profit of 950 million euros, 15% more than the previous year, and the engine of that growth was its American subsidiary, Turnerwhose contribution to the group’s results grew by 66.6% to 549 million euros. Turner doesn’t build flats or highways. Build data centers. And therein lies the crux of the matter. AI needs big construction companies. The transformation has not happened all at once. ACS has been betting on this niche for years with a simple but powerful thesis: AI requires enormous amounts of hardware, and that hardware needs equally huge buildings with cooling, energy and security. And ACS is dedicated to precisely that: to build large buildings. In Xataka Amazon is building an empire in Aragon: it has just paid 1.5 million to expand the electrical network to its fifth data center Florentino triumphs in the US. Turner arrived earlier and stronger. In 2025, ACS won several large-scale data center contracts, including the construction of a 902-megawatt center in Wisconsin as part of the Stargate program, and a stake in the $10 billion, one-megawatt Meta campus in Indiana. Those are conventional projects. They are cities whose inhabitants are servants for this new era of AI. Go for it all. As they point out in five daysdata centers generated more than 9 billion euros in sales during 2025, and ACS has already delivered more than 9 GW of capacity all over the world. That figure is extraordinary, especially considering that in all of Spain the installed capacity barely reaches 7 GW. The Spanish company that talks the least about AI has been silently one of its great beneficiaries for years. Very much in the style of Florentino Pérez, who usually maintains a relatively low profile and succeeds without making too much noise. Stocks on the rise. The market took a while to see it, but it has reacted forcefully. ACS shares have soared 115% in the last twelve months. Today they are close to 110 euros and mark historical highs while the construction sector advances (“only”) 20%. Group sales they reached 49,848 million euros, with the US and Canada contributing 63% of the total. ACS is in practice more of a North American technological infrastructure company than a Spanish construction company. It is listed on the Ibex and is chaired by one of the great football personalities, yes, but its current driving force is not here, but in the US and in the AI ​​fever. Build and Own. ACS is not limited to executing other people’s contracts: it also wants to be the owner of what it builds. In January 2026, the company completed an alliance with Global Infrastructure Partners, BlackRock subsidiaryto create a 50/50 joint venture to develop a global data center platform with an initial capacity of 1.7 GW. Already before had bought Dornanan Irish engineering company specialized in this type of infrastructure, for 436 million euros. ACS doesn’t just want to build AI data centers: it wants to own a piece of that infrastructure. The dollar as a great risk. One of the big problems with this project is the US currency. With more than 60% of its income in North America, each fall of the dollar against the euro is a setback for the Spanish multinational. The devaluation of the dollar is already greater than 10% after the last twelve months, and that has prevented Turner’s growth from being even greater. According to Renta 4 analysts, the “currency effect” subtracted more than five percentage points from the growth of net profit. And investors warn. Analysts themselves consider that the AI ​​market has already discounted a good part of future growth. At Bloomberg, the consensus is to maintain the stock with an average target price of 88 euros, which would imply a fall of 20% compared to current levels. This is what usually happens with good economic stories: when everyone knows them, they are no longer an opportunity. But at ACS they are optimistic. Although experts are cautious, at ACS they expect that spending on infrastructure quadruples from now to 2034. In fact, they expect that the benefits of 2026 will go even further than those of 2025 and exceed 1,000 million euros. If it achieves this, Florentino’s company will have completed one of the quietest and most profitable industrial transformations in the recent history of our country. {“videoId”:”x86aas4″,”autoplay”:false,”title”:”60% of the INTERNET passes through HERE: This is the LARGEST Data Processing Center in SPAIN”, “tag”:””, “duration”:”266″} Turner is ahead. According to Data Center MagazineTurner accumulated a backlog – a portfolio of confirmed orders – of $39 billion as of August 2025. It is the dominant construction company in this segment globally, although of course it has direct competitors such as DPR Construction, Holder, Skanska or AECOM. However, none have achieved the same concentration of contracts with the hyperscalers (Meta, Amazon and Microsoft). Turner has been building its reputation as a builder of this type of facility for more than a decade, and it is very difficult to replicate that advantage quickly. The irony of ACS and Spain. There is a geographical paradox in this success story: Spain and Europe have years debating on digital sovereignty, technological dependence and the need to build own infrastructure for not to be left out of the AI ​​revolution. While this debate is taking place, the Spanish company that is most building this infrastructure is doing so almost exclusively outside of Spain. As … Read more

Mobile software has become so complex that Samsung has had to add an AI to explain it to you

There’s a feature in One UI 8.5 that says more than it seems. It’s called, in Samsung’s internal nomenclature, ‘voice settings assistant’: you ask the phone why the screen doesn’t turn off, and it explains which setting is causing it. You ask it why the volume goes down on its own, and it tells you where the setting is that controls it. In it briefing of the Galaxy S26 They mentioned it almost in passing, as a nice detail among bigger and more important news such as the 3 AIs in 1, or the spectacular screen and its privacy mode. But this also deserves some attention. For years, learning to use a cell phone was part of the deal. You scanned the menus, memorized where things were, got used to their quirks, and cursed when you changed brands and couldn’t find anything. The instruction manual disappeared many years ago because it was assumed that phones were already intuitive enough not to need it. And for a while, they have been. The problem is that phones have not stopped growing. Every generation, and I’m looking at both iOS and Android, adds settings, modes, features, and layers of customization. One UI 8.5 brings, in the AI ​​section alone, more than a dozen new functions. The Christmas tree effect: We accumulate things without getting rid of the previous ones and we end up with an unruly mammoth. The operating system of a modern mobile phone has thousands of options spread out in menus that are sometimes where you would expect and sometimes not. And when something behaves unexpectedly, finding the reason can take several minutes of searching or a simple query to Google. Or ChatGPT. Samsung has decided that the solution to this complexity is not to simplify, but add a layer to help you navigate it. The mobile phone no longer expects you to understand it: it explains how it works if you ask it. It is a pragmatic move. Manufacturers have been in a race for years to add functions that justify the annual update, and retracing that path would mean cutting features that some users do use. So the solution is not to remove, but to translate. An AI that acts as a guide within the device itself. Google already has similar functions in pure Android and the Siri that the prophets promised maybe one day it will come. What Samsung does with One UI 8.5 is go a step further: it not only takes you to the setting, but explains why that setting is affecting the behavior that misses you. It’s the difference between giving you directions and explaining the map to you. The question that remains is how far this goes. If the phone needs an AI to explain itself, The next logical step is for that AI to start making decisions for you.: not only explain why the screen does not turn off, but also turn it off when it detects that you are not using it. Some of the agentic upgrades that Samsung has presented in the S26 are already going in that direction. The cell phone that asks you what you want to do and the cell phone that deduces what you want to do are closer than they seem. In Xataka | Samsung Galaxy S26 Ultra, S26+ and S26, first impressions: a broken heart in an unprecedented commitment to AI Featured image | Xataka

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