surpassed

Anthropic just surpassed OpenAI as the world’s most valuable AI startup

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Anthropic is no longer the eternal second fiddle. The company that was always in the shadow of OpenAI has become the main protagonist of this segment in recent months. Its growth is so spectacular that in its latest round of financing it has managed to surpass OpenAI’s valuation. It is an extraordinary milestone, especially for one reason: both hope to go public before the end of the year, and here Anthropic has the upper hand (again). Overtaking on the right. The company founded by the Amodei brothers has raised a colossal financing round of 65 billion dollarsand with it Anthropic’s valuation becomes 965,000 million post money. It is a financial achievement that suddenly destroys OpenAI’s valuation, which is currently stuck at $730 billion. This latest round comes just three months after Anthropic will raise 30,000 million of dollars, cccadadasdsas in an agreement that placed its valuation at 350,000 million dollars. The growth is simply amazing. Anthropic is the coolest company. The valuation reflects a compelling reality: Anthropic is (much) more fashionable than OpenAI. The company has taken great advantage of recent controversies to increase its popularity, and its brand image has been greatly reinforced because it is the company that everyone is talking about. What happened to the Pentagon first and what has happened with the encyclical Magnificent Humanitas of the Pope then they show it. And the one with the best models (seems) to have. OpenAI seemed to be ahead in the AI ​​race with models leading the way. That changed with the arrival of Claude Code and Claude Opus 4.5. Since then, Anthropic’s advances have been striking, and although the differences are small, the popular perception is that Claude Opus is now the model that leads in performance. This has just been confirmed in benchmarks with the recent release of Claude Opus 4.8but above all with Claude Mythos Previewthe model that has been put the world of cybersecurity upside down. They already make money. A few days ago, surprising news leaked: Anthropic could close the second quarter of the year with an operating profit of 559 million dollars. He would make money when the rest of his rivals lose a lot. The projected annual turnover has managed to exceed $47 billion this month, five times more than the amount estimated at the beginning of the year. The reason: the overwhelming success of Anthropic models in companies. That’s where the money isand the company has known how to 1) detect and 2) take advantage of it before anyone else. Memory manufacturers enter the round. The financing round is led by venture capital firms such as Greenoaks, Sequoia, Altimeter and Dragoneer, but this time there are other protagonists. These are the semiconductor firms Samsung, Micron and SK Hynixwho have also participated and who have taken advantage of their current privileged position to also bet on the success of Anthropic. It’s a win-win: they bet on the current winning horse, and Anthropic manages to strengthen relationships with the companies that right now they control one of the big bottlenecks of the AI ​​industry: memory chips. The IPO is imminent. This surprise meteoric intensifies the pressure on OpenAI and further encourages (if that was possible) that other race, which is the IPO of both these two companies and SpaceX. We are in a year that will be remembered for three stratospheric IPOs, but these latest achievements by Anthropic have made the company led by Dario Amodei now the main protagonist in the technology segment. Image | Fortune Brainstorm Tech In Xataka | The surprise of the new Claude Opus 4.8 is not that it is (a little) better. The surprise is the “I only know that I know nothing”

A mathematical problem had been resisting experts for more than 80 years. An AI has surpassed them all

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In 1946 the Hungarian mathematician Paul Erdős asked a seemingly very simple question: if you place n points in the plane, how many pairs of points can be exactly at a distance 1 from each other? This dilemma is known as unit distance problem in the planeand has maintained many mathematicians who research in the field of geometry, immersed in its resolution for no less than eighty years. The classic strategy proposed by many of them to try to solve it was to resort to a square grid. They soon realized that the number of pairs at unit distance grows at least as n to the power of (1 + C/loglog(n)), where C is a positive constant that quantifies how much a particular construction can be better than a basic square grid. It’s a complicated idea, it’s true, but we can try to approach it in a slightly more intuitive way. A standard square grid produces approximately 2n pairs of points at unit distance. If we rescale it in an ingenious way by choosing the scale factor as a number that has many divisors (in number theory this property is known as a number with many small prime factors), you get more pairs of points to fall exactly at distance 1. The value of C measures precisely the efficiency of that choice. This is the key. An AI from OpenAI has achieved the first major breakthrough in 80 years As we are seeing, the question Erdős asked is very easy to state, but extraordinarily difficult to resolve. If we develop the classical approach a little further we will realize that since loglog(n) grows very slowly, the exponent approaches 0. This means that the square grid grows only slightly faster than n, but not enough to exceed n at a fixed rate. This milestone was achieved by a general-purpose inference model that OpenAI was testing internally. This is why for decades mathematicians predicted that the upper bound would be approximately n^(1+o(1)), that is, just slightly larger than n. Now we know that they were wrong, and the person who refuted this conjecture was not a particularly skilled current mathematician; this milestone has pointed it out a general purpose inference model which OpenAI was testing internally. and not one artificial intelligence (AI) specialized in mathematics. This model has provided an infinite family of examples that produce polynomial improvement. In fact, he has shown that it is possible to construct configurations of points with at least n^(1+δ) pairs at unit distance, where δ is a fixed value greater than 0 that does not disappear as n grows. When the AI ​​delivered this result, OpenAI researchers asked a group of Princeton mathematicians to review it. And his conclusion was blunt. The AI ​​was right. This is the first progress on the lower bound of the problem posed by Erdős in 80 years. And, curiously, the OpenAI model has achieved this by using advanced engineering tools. algebraic number theory for an apparently elementary geometry problem. Several renowned mathematicians, such as Fields Medal winner Tim Gowers or number theory expert Arul Shankar, have declared that the result that AI has delivered is an extraordinary achievement that could provide mathematicians with a bridge to explore other problems in the future. Image | Jeswin Thomas More information | OpenAI In Xataka | These two problems have baffled mathematicians for decades. A genius has solved them with a stroke of the pen

Samsung just surpassed TSMC for the first time in eight years. The problem is that it is a mirage

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We are in the middle of the results presentation season. Listed companies share how the last fiscal period went and, although it sounds boring, it allows us to learn interesting details about the business. For example, Apple thinks that the components crisis is going to get much worsebut also where the companies are. Samsung is one of those that can show the most chest due to its good results this beginning of 2026so good that it has achieved for the first time in eight years look face to face at your great rival in chip manufacturing: TSMC. The asterisk is that it is a mirage. a fortune. As we read in the South Korean media The Chosun Dailythe semiconductor division of Samsung Electronics is in luck. During the first quarter of this year, they achieved sales worth 81.7 trillion won with an operating profit of 53.7 trillion won. It is the first time that the division has achieved an operating profit of more than 50 billion won, but the most curious thing is the enormous leap they have made since last year. In the same period in 2025, Samsung reported sales of 44 trillion won with an operating profit of 16.4 trillion won. In fact, the company has earned more in these three months than during all of 2025. to the podium. This best performance has placed the South Korean company as the second best performing semiconductor company in the world. Who is above? Your best friend: Nvidia. The company that is the glue of AI reported an operating profit of 66 trillion won in this period and the two have gone hand in hand in this period. Memory (of course). Samsung got a little lost in the memory race for AI due to the good work of its great rival in this segment, also South Korean SK Hynix. However, he did not waste time and took the opportunity to research how to create the best HBM4 memory modules. This is the high-bandwidth memory that is used by artificial intelligence platforms such as those from Nvidia. In fact, a few weeks ago we told how Samsung had managed to convince Nvidia so much as to AMD to choose their HBM4 chips. Thanks to that impulse, dump all your production to memories for artificial intelligence equipment (regardless of what happens with the consumer market), the company has managed to see sales grow by 69.16% year-on-year and operating profits soar by 756.1%. In fact, the South Korean media points out that, even taking into account the number of devices that Samsung manufactures, the semiconductor division is the one that represented 93.8% of the company’s total operating profit. Very far away. Now, there is an even more interesting fact. All that amount of money has made Samsung the only semiconductor company that comes close to Nvidia, even surpassing, by far, the largest global semiconductor foundry: the Taiwanese TSMC. However, although the South Koreans’ goal is to dethrone the Taiwanese, things are going to have to change a lot because they are very far away in terms of market share. Because Samsung is making a lot of money, but there is a huge gap when it comes to contract chip manufacturing for external customers. This means that Nvidia, Apple and many others continue to come to TSMC first than to Samsung to manufacture its chips. Putting it down with numbers, it is estimated that TMSC took 70% of the market share last year compared to Samsung’s 7%. The plan. And there is a problem in all this: the AI ​​superboom. Because Samsung is doing great selling its memory to hyperscalersbut it is not attracting clients at the same rate and, if at some point the memory market deflates, accounts will begin to decrease. Samsung is moving to prevent this from happening by opening new chip manufacturing plants, partnering with American companies on American soil to develop the market outside Asia and flirting with being the foundry that manufactures chips for Nvidia or Apple in the United States. Other sectors. It is evident that the semiconductor arm is going like a rocket, but… what happens with the rest? On mobile and networks, Samsung reported sales of 38.1 trillion won with an operating profit of 2.8 trillion won. This is where investment comes into play. 6G networksbut also recent releases such as those of the family Galaxy S26 that they have not left as much money in the coffers due to increases in memory costs (Samsung already pointed out that They were not going to favor their own division and that if memory is more expensive, it is for everyone). In Display (TVs and monitors), sales fell 14% year-on-year with operating profits of 400 billion won due to the price of RAM, among other factors, and home appliances had an operating profit of 200 billion won. It is obvious where the goose that lays the golden eggs is and it is not surprising that Samsung wants to exploit it thoroughly. Image | Applied Materials In Xataka | The ratio of CPU to GPU in data centers is approaching 1:1. Intel knows exactly what that means

Boeing has surpassed Airbus after years behind. That doesn’t mean I’ve regained control.

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The rivalry between Boeing and Airbus has been marking the pulse of commercial aviation for decades, but it cannot always be summarized in a simple classification. Sometimes, a piece of information seems to announce a change of era and, when we look closer, what appears is something much less resounding. That’s just what happens with the first quarter of 2026: Boeing has managed to overcome to Airbus in deliveries, yes, but it is worth looking at what is behind that advantage before reading it as proof that the American manufacturer has left its problems behind. The photography. The start of 2026 is based on a clear difference in deliveries: Boeing placed 143 commercial aircraft in the hands of its customers between January and March, compared to 114 for Airbus. The data has weight in itself because it puts an end to a long period in which Airbus had remained ahead of Boeing in deliveries. In practice, the American giant supported this result especially in the 737, with 114 units delivered, while Airbus once again concentrated the bulk of its activity in the A320 family, with 81 aircraft. The Airbus bottleneck. If we want to understand why Airbus has been left behind at the start of 2026, the focus is not so much on a drop in demand as on a supply problem. According to Reutersthe European manufacturer has a traffic jam linked to Pratt & Whitney, one of its engine suppliers, immersed in the correction of around 1,200 units affected by a manufacturing defect. While that process is still underway, the production of new engines slows down and Airbus can advance the manufacturing of those planes, but not always complete delivery at the expected pace until those systems arrive. Reality, in context.. That Boeing has closed this quarter ahead, in any case, does not mean that it has resolved the core of its problems. Let us remember that the manufacturer comes from years marked by the 737 MAX crisis, triggered by the accidents of Lion Air Flight 610 and Ethiopian Airlines Flight 302in which 346 people died, and for the subsequent stoppage of that program. Added to this are more recent difficulties: Boeing already warned last month that 737 production will slow while it addresses certain wiring issues. Before this long cycle change, Boeing’s position on deliveries was very different. In January 2018, Boeing reported that it had closed 2017 with 763 commercial aircraft delivered, a record for the industry at the time and its sixth consecutive year leading this field. That year also left 912 net orders valued at $134.8 billion at list prices and a portfolio of 5,864 aircraft. Seen from today, that starting point helps to better measure to what extent the balance between both manufacturers changed in very few years. The context is not so far away: It is worth remembering that this rivalry left another very significant milestone in October 2025, when the Airbus A320 became the most delivered aircraft in history by surpassing the Boeing 737. That was not just a symbolic matter: it reflected the extent to which the problems of the 737 MAX had altered Boeing’s trajectory and the extent to which Airbus had managed to keep up with the A320neo family. The next industrial duel: If we project our gaze a little, the board also begins to move at another very specific point: the future entry on the scene of the 777X. Boeing plans to deliver it in 2027 as a late competitor to the A350, after accumulating delays that are already part of the program’s recent history. For Boeing, this arrival could be important because it would open a new opportunity to rebalance forces in the long haul. But Airbus also continues to move forward. Images | Tienko Dima | Jan Rosolino In Xataka | Commercial aviation is based on very old aircraft. The Iran war is going to make it even worse

has surpassed Sora and Veo without NVIDIA chips

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Brad Pitt and Tom Cruise fighting on the rubble of a devastated city. The recreation of the most expensive shot in the movie F1 for nine cents. Dragon Ball scenes indistinguishable from the original anime. None of this has been filmed by anyone. Everything has generated Seedance 2.0the ByteDance video model launched a few days ago. It has its seams, because it builds on already-made creativity and much is missing on a narrative level. But the technical plan is impressive. Why is it important. It is no longer “China is coming, China is coming.” It’s “this is what China already does.” The independent consultancy CTOL places it above Sora 2 and Veo 3.1 for specific improvements: native 2K resolution, synchronized audio as standard, simultaneous input of text, image, video and audio (something that no Western rival offers at the same time) and 30% faster generation. Between the lines. The uncomfortable thing for Silicon Valley is not just the quality. The most uncomfortable thing is what it has been achieved with. Seedance has been built without H100NVIDIA chips banned for China. And it still surpasses the models that do have them. It’s already happened something similar with DeepSeek in LLMs and now it happens with synthetic video. The pattern is consolidating: the sanctions are not serving to slow China down, but rather accelerating it, because they force it to innovate faster. In dispute. Disney, Paramount, Warner Bros. and Sony have sent termination requests to ByteDance for violating copyright. AND SAG-AFTRA has denounced the use of voices and faces of actors without consent. The trigger was seeing that Seedance was capable of cloning someone’s voice from a single photograph. ByteDance has suspended that feature and promised improvements, without specifying which ones. Yes, but. The studies are more disarmed than they appear: Their claims attack the generation of protected content, not training with that content, which could be covered by fair use law. The music industry has already gone through a similar scenario and ended up negotiating. Hollywood is headed for the same fate: not being able to stop this, but at least getting a cut. Disney already does it with OpenAI. But with Bytedance geopolitics comes into play and whether it will be capable of something similar with a Chinese company, not a Californian one. The big question. ByteDance has an asset that no one can replicate: the largest short video ecosystem in the world. TikTok and Douyin know, on a scale that is unrivaled, what makes a video tick, and that knowledge is built into Seedance. When I reach CapCutthe most popular editing app in the world, the impact will reach another level. Right now the question is not whether Seedance is better than Sora. We have already seen that it is. The question is whether the world will be willing to use it. In Xataka | Seedance 2.0 has flooded the networks with AI-generated videos with Disney content. And Disney has picked up the phone Featured image | BiliBili – Seedance

The Nintendo DS was the best-selling console in the history of the Japanese manufacturer until now. It’s easy to guess who has surpassed her

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The Nintendo Switch has become the best-selling console in the history of the Japanese company, as revealed by Nintendo in its financial report of February 3, 2026. With 155.37 million units sold until the end of December 2025, the hybrid system has surpassed the 154.02 million of the Nintendo DS, which held the record since its discontinuation in 2013. Two proposals. The data gain more weight considering that the Switch debuted in 2017 with a price of $299.99 (exactly double the $149.99 of the DS in 2004) and not has officially dropped in price in its eight years of commercial life. The concept of the DS (two screens, one of them touch) represented a risky bet when the industry prioritized graphical power. The console found its audience in sectors outside of traditional video games, with titles such as ‘Brain Training’ and ‘Nintendogs’ that attracted users with the same casual profile that the Wii had conquered. Added to this was the DS Lite, launched in 2006, which represented 61% of the system’s total sales: 93.86 million units. The Switch arrives. In 2017, the Switch was double the price of its portable predecessor. Its hybrid concept (functioning as a desktop console connected to the television and as a portable device) eliminated Nintendo’s traditional division between home and mobile platforms. And without price cuts: the OLED model, launched in 2021 at $349.99, meant a net increase in the market positioning of the system. Different pricing policies. The pricing strategy of both consoles differs significantly. Adjusted for inflation, the $149.99 DS in 2004 andThey would be equivalent to approximately $240 in 2024. The DS also experienced reductions during its life cycle, reaching $99.99 in 2011. The Switch, in contrast, has maintained its base price for eight years, something unusual in the consumer electronics industry. The accumulated inflation since 2017 has reduced the real value of the price by approximately 20%. For comparison, the PlayStation 2 dropped its price from $300 to $100 in less than a decade. But the Switch unifies two segments: while the DS competed exclusively as a portable platform (coexisting with the Wii and Wii U as home consoles), each Switch unit captures both the traditional home console and handheld audiences. The difference: the software. Beyond hardware, software performance reveals a gap between both systems. According to data from November 2025the Switch has sold 1,452.79 million software units throughout its life cycle, compared to the 948.76 million that the DS reached at the end of its production. A difference of 53% in favor of the Switch that indicates a greater commitment on the part of its user base. Put another way: each Switch owner has purchased an average of approximately 9.4 games, compared to 6.2 for DS users. The Switch catalog, which includes ports and remasters of titles previously exclusive to other platforms, has reached an audience that goes beyond the traditional Nintendo. PS2 objective. The Switch is still below the absolute industry record: Sony’s PlayStation 2 maintains the position of best-selling console of all time with figures that exceed 160 million units. This brand has generated some controversy after Sony updated its historical data including sales that were not previously listed in its public records. To reach that figure, the Switch would need to sell approximately 4.63 million additional units. However, Nintendo’s current projections contemplate only 750,000 more units until the end of the fiscal year. Besides, Switch 2 It has already sold 17.37 million units. The coexistence of both models on the market could accelerate the withdrawal of the original hardware. Images | Xataka In Xataka | The most recurring criticism of Nintendo Switch 2 is that “it does not innovate.” We have tried it and we have something to say about it

Threads has surpassed X in daily users on mobile. The paradox is that this has not changed.

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Threads and X play, in essence, the same game. Short messages, public conversations and the ambition to become the place where the things that matter are discussed. On mobile, Threads is already moving very close to X in daily active users on a global scale, to the point that, on specific days, it was ahead. But when you look beyond the numbers, the feeling is different. The conversation that jumps to the media and public debate continues to be born, almost always, in the same place. The most cited photograph comes from Similarweb data and focuses exclusively on mobile use. That’s where Threads has closed the gap significantly. According to this analysis firm, both platforms converge in very close figures of daily active users on a global scale, around 130 million. In the week with data until September 20, 2025, Threads was ahead of X on three of the days analyzed. Even so, the series as a whole does not allow us to speak of consolidated leadership, but rather of a very tight and localized equality in time. Daily active users on iOS and Android. Threads approaches X on mobile phones globally | Source: Similarweb What does this data measure and what is left out. When talking about daily active mobile users, it is advisable to sharpen the focus. Similarweb accounts daily use on iOS and Android, counting each person only once a day, even if they open the app multiple times. Additionally, any user who performs a minimal action, such as opening the app or logging in, is considered “active.” This metric reflects access habits, but does not distinguish between reading, interacting or publishing, nor does it measure what type of accounts concentrate the activity or what content is amplified outside the platform. Daily web traffic on a global scale. X maintains a very large advantage over Threads in browser visits | Source: Similarweb That balance that appears in mobile use is broken as soon as the focus is expanded. When looking at web trafficthe distance between both platforms is once again very marked. Similarweb data shows that It is not a minor detail, because web access is usually more present in professional contexts, newsrooms and news monitoring. Changing metrics also changes the story the data tells. Information consumption follows another map. When the question is not how many people enter each day, but rather where users get information, the scenario changes. The conclusions of the Digital News Report 2025 of the Reuters Institute point out that The difference is not so much size but function within the media ecosystem. Part of that difference has to do with the type of use. A academic study published in 2024 describes X as a “passive sensor” especially useful for detecting opinion leaders, by combining public visibility, active community and clear temporal traceability of messages. This architecture makes it easier for statements, reactions or controversies to be followed in real time and reused in other contexts. For media and analysts, X not only works as a social network, but also as a tool for observing public conversation. A growth pushed from within the ecosystem. The progress of Threads is largely explained by its integration with Instagram and, in general, with the Meta ecosystem. Direct access from an already massive application reduces barriers to entry and makes it easier for many users to try out the platform without additional effort. That push helps explain why mobile usage numbers have grown rapidly. However, this dynamic does not guarantee that users adopt Threads as a central space for public or informative debate, nor that they transfer there the practices that they currently maintain in X. Not even the recurring controversies surrounding Elon Musk have been sufficient to displace X from its role as an informational reference point. Threads advances in usage and visibility, but the center of gravity of the conversation remains where it was. For that to change, it will not be enough to add users or rely on the Meta ecosystem. It would require a deeper transformation of professional, media and political habits that, for now, is not appreciated. Images | Mohamed Nohassi | Kelly Sikkema In Xataka | Neither board games nor karaoke: ‘Word on Beat’ is the new king of the living room and proof that we prefer rhythmic chaos

The longest train in history was born in 2001 and since then no one has surpassed it

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The train is the backbone of many countries. In Europe we know it wellin Latin America is catching up and the China and Japan current ones would not be understood without it. Another country where it is vital is Australia, although more than for the movement of the population, for the transport of goods. And, in 2001, in the heart of Western Australia, the BHP Iron Ore It made history by becoming the longest train in the world. More than seven kilometers long that have not yet been equaled. Necessary. One of the most powerful industries in Australia is mining, so much so that there are even mining influencers that recruit workers from any country. In the late 90s, mining companies faced a challenge: an increasing amount of mineral had to be transported from the source to the export ports. It was a challenge because logistics costs had to be kept under control so that prices did not skyrocket. Traditionally, we would have chosen to put more trains into operation, but it would not be efficient because we would have to pay for more fuel, for the use of the infrastructure and the salaries of a larger crew. Come into play BHPthe Australian giant that is one of the largest mining companies in the world, with an idea: what if we set up a huge train to load iron? This is how the Iron Ore train was born. The BHP Iron Ore train. Its dimensions were extraordinary: a convoy made up of 682 wagons, 5,648 wheels, a loaded weight of almost 100,000 tons and a length of 7,353 kilometers. Imagine 22 Eiffel Towers lying down and aligned, like this. To pull such a monster, eight locomotives GE AC6000CW (each with 6,000 HP) with 16-cylinder engines were distributed throughout the vehicle. Apart from the front, the rest were within a kilometer of each other and managed to complete a 275 kilometer Yandi journey, with a cargo of Newman mines, to Port Hedland in just ten hours. The pace was slow, yes, but the important thing about this was not It was the Guinness record that he achieved, but the proof of a technology called Distributed Power. Distributed Power. This was BHP’s goal, to prove that the technology worked. And it basically consists of what we have said: distributing the locomotives along the train instead of concentrating them in the front so that the traction and braking force is greater, more uniform and, also, more efficient. Everything worked like a Swiss clock thanks to great precision and harmony between the locomotives, which were controlled by a single driver in the front system. It’s long, and there’s no train If Distributed Power was the technology, the control system was the LOCOTROL. The leading locomotive communicated with the remote ones through a radio frequency system that synchronized all acceleration and braking operations. This allowed lateral forces and friction to be drastically reduced when cornering, which reduced both wheel wear and the risk of derailment and, in turn, it is estimated that between 4 and 6% less fuel was consumed. Pilbara. The BHP Iron Ore was a technical prodigy that set the record for the longest train in the world in 2001, but if you are a train enthusiast, don’t pack your bags yet to see it in action: it was a one-time event, so much so that there is very little material about it. Once the technology was proven, what BHP did was apply it to smaller trains. The Pilbara is the region in which much of its operations are concentrated, and what the company currently operates are several regular trains with formations of about four locomotives with about 270 carriages. It is still impressive, since the length of these trains is close to three kilometers and they have a loaded weight of about 40,000 tons. The company’s next steps are to electrify these trains to reduce emissions, and one trick will be to use regenerative braking to recharge the batteries in sloped areas. It is something that other companies are also testing in the country. Similar attempts. Thus, the BHP Iron Ore was a prodigy, but also something unique that has not been matched, not even close, more than 20 years after its launch for that test. In August this year, Indian Railways commissioned the Rudrastraa 354-car, 4.5-kilometer-long train powered by seven locomotives (two at the front and one every 59 cars). And in Europe, tests are also being carried out with distributed power trains, but for kilometer and a half trains. In the end, they are all very far from the Iron Ore both in length and weight, but beyond the record in 2001 it was shown that this distributed power technology was a solution for trains longer than conventional ones. We’ll see if at some point someone needs to create a longer train, but it seems complicated. Images | WabtecBHP In Xataka | The longest train journey in the world: more than 18,000 kilometers between Portugal and Singapore without changing transport

Windows 11 has finally surpassed his predecessor in what cost him the most. Has needed 46 months and a deadline

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After almost four years of struggle, Windows 11 has achieved for the first time Overcome the Windows 10 market share. July data Statcounter They show, at the time of writing the article, that the current Microsoft operating system reaches 50.88%, while its predecessor drops to 46.2%. Somewhat for the company that reaches just three months from the end of the Windows 10 security updates support, yes, the achievement has been accompanied by desperate measures. The context. Microsoft launched Windows 11 in October 2021 with the promise of being “The best Windows in history“, But its initial adoption ended up being extraordinarily slow. Just a year ago, Windows 10 maintained an overwhelming advantage with 66.04% of the market compared to 29.75% of Windows 11. The change of litmus has been so late that it has forced Microsoft to take exceptional measures. Market share of the different Windows versions globally. Image: Statcounter Millions of users will run out of support soon. With 1,400 million Windows devices worldwide, according to the company, Statcounter figures would suggest that approximately 728 million execute Windows 11 and 655 million continue with Windows 10, despising the rest of versions. This figure is problematic especially because it means that hundreds of millions of users will run out of updates Safety when Microsoft withdraw the support on October 14, 2025. Of course, users They still have alternatives. To great evils … The situation has forced Microsoft to break its tradition and offer for the first time extended security support (ESU) to domestic users, something that was previously only available for companies. In addition, he has announced that will provide this free support to those who use Windows Backup with a Microsoft account, something that for many is a privacy toll in exchange for security. The push of companies. As they warn from The Registerthe sudden growth of Windows 11 is not due to a massive adoption of consumers, but mainly to business migrations. Keiren Jessop, analyst at Cábalys, points that administrators would be executing planned updates before the closing of the support, especially with the start of new fiscal years in July and October. From the middle they ensure that hardware sales, including THE NEW PCS WITH IAThey remain limited due to the lack of applications that justify their high prices. Better late than never. Windows 11 has needed 46 months to overcome his predecessor, a record time in the history of Microsoft. The strict system requirements, which exclude computers Without TPM 2.0 and old processorsThey have stopped their adoption. Meanwhile, Microsoft has been putting pressure to its users through annoying banners In Windows 10 to make the change, recommend the purchase of a new PC that is compatible with the requirements, months before its official support. On the horn. With only three months until the end of the support, Microsoft has finally achieved that Windows 11 took the lead. The question is how many users will make the transfer to Windows 11 before the end of their support and how much the difference ends in these three months. Cover image | Windows In Xataka | Virtually everyone has stopped using Windows XP. The problem is that ATMs do not

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