economy

AI agents have indeed changed work and the economy forever. But for now only in one sector: programming

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AI agents are beginning to demonstrate their capabilities, but the only area in which they do so is programming. An Anthropic report reveals how software engineering is where half of the activity of AI agents is currently concentrated, and that proves two things. The first, that AI can effectively enhance work. The second, that there is a huge opportunity for hundreds of verticals where AI has barely landed. what has happened. If there is a sector that has embraced AI and AI agents, it is programming. Platforms like Cursor or WindSurf first and like Claude Code, OpenAI Codex or Antigravity today have made all kinds of people —whether they know programming or not— can turn their projects into reality in a really simple way. It’s a clear case of how AI can contribute to a field, but there’s a problem: it’s practically the only case where it has actually done so. Distribution of requests to AI tools by segment. Software engineering is almost responsible for 50% of those calls or requests, at least in the case of the Claude platform. Source: Anthropic. Verticals with a lot of margin. As can be seen in this graph, the presence of AI agents is very reduced or practically non-existent in a large number of verticals in which it is evident that there is a notable opportunity to take advantage of these tools. The automation of office tasks is the second main protagonist with 9.1% of the function calls of the Anthropic AI model in this report. Below it we find segments such as marketing, sales, finance, business analysis or scientific research. And others who are ignoring AI. There are quite a few sectors in which AI agents seem to be barely present. The travel, legal, medical, e-commerce or education segments seem perfect to start taking advantage of these tools, but at the moment this is not the case and this presence is very, very small in all of them. Claude Code can work longer and longer. Double what it was three months ago, in fact. Source: Anthropic. Models can now work autonomously for a long time. In these scenarios it is true that the models used to be limited by the time they could function autonomously and “chain” actions and self-analyze progress to continue acting. That’s not so true now. Claude Code, for example, has doubled the time of his longest sessions in just three months: from 25 minutes in October 2025 to 45 minutes in January 2026. And they need less human intervention. Another of the revealing data of the study is that the evolution of these agents not only means that they can function autonomously for longer periods of time, but that this also implies fewer human interventions. Those situations in which an agent “needs human help” to continue with the process are becoming limited. In August 2025, the average was 5.4 human interventions per session. In December that average dropped to 3.3 interventions. We trust more and more in AI. At Anthropic they have also noticed a unique behavior among users: they are increasingly trusting AI agents. In programming, novices approve each new step before it is executed, but veterans delegate and intervene when something goes wrong: they have gone from pre-approving everything to exercising active and constant monitoring. As they say at Anthropic“Users develop confidence as they work with the model, and change their monitoring strategy based on that growing confidence.” From programming to other fields. What has happened with programming could happen in other scenarios. The challenge is to build AI agents that adapt to each segment using that specific data from said vertical. If an AI wants to help in the legal segment, it must be specifically trained for that segment. What the AI ​​did when trained with thousands of code repositories on GitHub It was learning and improving. Well, the same can be applied to other verticals, although the challenge is certainly notable because programming was a perfect segment for the application of AI: it is very deterministic. It either works or it doesn’t, and whether it does or not, execution logs allow you to fine-tune that operation. The new unicorns await. As entrepreneur Garry Tan points out in your newsletterin the last two decades SaaS platforms have managed to capture 40% of venture capital investments and that industry has more than 170 unicorns. “The thesis is simple,” Tan concludes, “all of those unicorns have an equivalent in the form of vertical AI waiting.” Promises and realities. The AI ​​agent segment therefore promises many changes in a multitude of segments, but the reality is that today the practical success (there is no economic success at the moment) of AI is limited to the world of programming. Will we be able to transfer it to other segments? The opportunity is there, but it is one thing to say it, and quite another to do it… even if it is with AI. Image | Joshua Reddekopp In Xataka | Every time Facebook had a competitor, it bought it: it is exactly the same thing that OpenAI is doing

Mexico hoped that the Mayan Train would change the country’s economy. It is not convincing either tourists or locals

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Their locomotives started between promises of wealth generationemployment and progress, but almost two years after its first inauguration he Mayan Train (one of the most ambitious projects of former Mexican president Andrés Manuel López Obrador) is far from the expectations of its promoters. It does not seem to be arousing special interest among tourists. Nor among the locals. In fact The Country just revealed a figure that gives an idea of ​​the extent to which it has started with modest results: it moves 5% of the expected demand. The big question is… Why? What is the Mayan Train? One of López Obrador’s star projects and probably one of the most ambitious infrastructures developed in recent years in Mexico. He Mayan Train It is a railway circuit of more than 1,500 km that crosses Chiapas, Tabasco, Campeche, Yucatán and Quintana Roo, states located in the southeast, where some of the poorest regions of the country are located. Is it operational? Yes. After a construction marked by the controversychanges and a billion dollar investment which multiplied the initial budget, the trains began to circulate almost two years ago, although they were launched in a phased manner. In December 2023 A smiling López Obrador participated in the inaugural route on the Campeche-Cancún section. A year later, with Sheinbaum at the head of the Government, the implementation of the rest of routesincluded the lastbetween Campeche and the Chetumal airport. To celebrate and give an extra push to the structure, the Executive launched a tourist package especially to attract users for Christmas. Why is it news now? Because things don’t seem to be going especially well for the Mayan Train. This is what the revealed data by The Countrywhich claims to have accessed a report from the National Tourism Promotion Fund (Fonatur) which confirms that the start of the service has not aroused the expected interest. During its first year of operations, it transported an average of 3,200 passengers daily. The initial forecasts were for this figure to be around 74,000, which did not even reach 5% of what was expected. The reporters who write the report from Mexico they assure that in the middle of high season it is not unusual to find trains that run almost empty in some sections and that at the stations it is common to come across more guards and cleaning employees than visitors. When talking to tourists who visit the region, some admit that they had not heard of the Mayan Train. What is the cause of this puncture? The million dollar question. And it is not easy to answer it. The testimonies collected by The Country They suggest that the train has not yet managed to catch on in either of the two markets in which it should attract passengers: domestic and international. It does not convince locals to travel through the southeast of Mexico, but neither does it convince foreign tourists who want to get to know the region. The reason is a combination of economic, logistical, cultural factors and habits that are difficult to change. If we talk about locals, the Mayan Train loses appeal for a simple reason: the location of the stations. The military company that operates it offers them discounts, but they must add the transportation price to get to the terminal to the ticket price. “The train to my town is far away. If I wanted to travel by train, I would basically have to spend twice as much. To go to Mérida I take the bus, which is more direct and cheaper,” explains a tour guide. Added to this is the deep-rooted use of other means of transport, such as the bus itself, motorcycles or taxis. And what about tourists? Despite the efforts to establish the service among foreign tourists, the Mayan Train does not seem to be succeeding in that market niche either. The visitors they keep coming to the Yucatan Peninsula, but their travel depends largely on travel companies and their itineraries, often agreed with bus companies and hoteliers. Although users highlight that trains are generally comfortable and safe and has been invested Already in the promotion of the service, there are still tourists who come to the Yucatán without having heard not even talk about the Mayan Train. Others do not quite see its advantages over traditional alternatives, such as renting a car to move freely or paying for tours in advance. Why is it important? For several reasons. To begin with, because the Mayan Train has not been just an ambitious project. It has also been marked by controversy. Recently National Geographic published a report in which he explains how its implementation has polarized part of Mexican society, with positions divided between those who believe it will help energize the region and those who focus on the impact it has had on the environment. Beyond this debate about the pros and cons of the train, what is undeniable is that the project has cost a lot more than initially planned. In 2023 the BBC network assured that from the between 120,000 and 150,000 million Mexican pesos that were initially spoken of, it went to nearly 500,000 million. This great investment effort was accompanied by promises of its economic return. What is expected from the train? “It is a magnum opus, we are not exaggerating if we say that there is no one like it in the world today,” stood out two years ago, during his inauguration, López Obrador. And at the time it was even proposed that the train would help encourage tourism and employment in some of the most impoverished regions of Mexico, with a project that, in addition to the railway, includes museums, hotels, archaeological zones and hotels. In 2020, a UN-Habitat study even suggested that it would help lift people out of poverty. 1.1 million of people. What does the Government say? He claims that the start-up of the train has not been bad. In summer the Government assured that the service … Read more

SpaceX changed the space economy. Now he wants to do the same with the cost of satellites

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The cost of launching cargo into space was, for years, one of the great limits of the aerospace industry. LaNASA documents in several works, including the analyzes of Harry W. Jonesthat during the last decades of the 20th century many pitchers moved in a typical range of between 10,000 and more than 20,000 dollars per kilowith an average cost of around $18,500/kg in low orbit, with the space shuttle far above due to its complexity and operating expense. It was not just the price of the launch systems, but of a model based on disposable components, manual processes and highly specialized operations. The situation remained stable for decades, until SpaceX decided to rethink how the economics of orbital launch should work. Instead of assuming these costs as inevitable, the company opted to reuse stages, optimize processes and manufacture its own engines and systems from scratch. This combination allowed the price per kilo to be reduced to unprecedented levels, although the change did not occur immediately. What is relevant is that, for the first time, a private actor demonstrated that launches could be much cheaper and that price did not have to be a structural barrier for the industry. When launch is no longer the limit, attention shifts to satellites The resulting prices began to change behavior in the sector. With Falcon 9 and Falcon Heavy, the cost per kilo became in the range of 3,000 to 1,500 dollars, according to NASA calculations based on catalog prices. These figures not only mark a reduction, but a turning point: for the first time, companies, institutions and even governments could rethink the design of missions knowing that launch was no longer the main economic barrier. From there a question arose that until then had no answer: if the trip had been made cheaper, what would happen to what was sent into space? The traditional satellite model was built on the idea of ​​optimizing each unit. It was not important to produce many, but to produce one that could operate for years, with high capacity and low probability of failure. Manufacturers and operators were investing in complex systems, with long development cycles, exhaustive testing and specialized structures to fulfill specific and prolonged missions. This strategy responded to an environment in which launch was so costly and infrequent that it was more profitable to prioritize reliability and durability than to think about scalability or rapid replenishment. One of the first companies to help change this approach was OneWeb, that introduced a manufacturing model designed for scale. Instead of ordering each satellite as an individual piece, the company designed a common architecture and partnered with Airbus to produce repeatable unitswith standardized processes and shorter manufacturing times. The plant installed in Florida in 2019 was presented as the first factory of satellite serial production on a large scale, with two lines capable of removing up to two units a day. It was not about building a better satellite, but about building many. SpaceX took the satellite constellation idea and turned it into its own industrial system. With Starlink, it not only replicated the use of mass-produced satellites, but also linked that production to its launch capacity with Falcon 9, operated by the company itself. This integration allowed the deployment to be accelerated without depending on external release windows or commercial suppliers. The constellation began to grow at an unprecedented rate and, in a few years, it vastly surpassed any other similar project in number and pace. The difference was not only in manufacturing satellites, but in being able to launch them at will. Although OneWeb was one of the first players to apply industrial logic to satellite manufacturing, its constellation has grown at a very different pace than Starlink. At the end of 2025, OneWeb has around 648 satellites in orbit, while SpaceX exceeds 8,000 operational satellitesaccording to the most recent data published by orbital monitoring firms. The difference is not only due to the number of launches, but also to the mode of production. According to an economic analysis published in 2025the estimated manufacturing cost of OneWeb satellites is around $14,000 per kilo, compared to approximately $2,500 per kilo for Starlink satellites. These figures reflect a gap that has more to do with the integration model than with the technology itself. The estimated manufacturing cost of OneWeb satellites is around $14,000 per kilo, compared to approximately $2,500 per kilo for Starlink satellites. The reaction of the sector did not take long to arrive. With the advancement of Starlink, both companies and public institutions Similar projects began to be considered based on constellations with a high number of satellites and sustained deployments. Amazon launched KuiperEutelsat and OneWeb reinforced their alliance to maintain presence in the market and the European Union approved the IRIS2 program with institutional support.China is also working on its own large systems. It is not just about competing in numbers, but about accepting that scale and replacement capacity are part of the new spatial model. When the satellite becomes a replicable product, the way of planning its presence in orbit also changes. It is no longer about launching a mission and hoping it works for as long as possible, but rather about building a structure that can grow, modernize and replace units regularly. The satellite becomes a component of a network, not the center of the mission. This logic favors models based on scalability and continuous replacement, similar to those of other technological infrastructures. Space stops being a destination and becomes a platform. SpaceX demonstrated that the cost of the launch was not a technical limit, but rather a model one. Now it is trying to apply that same logic to satellites, with an approach based on scale, continuous manufacturing and integration with its own launch systems. The result is not only a larger constellation, but a different way of understanding what it means. operate in orbit. The question is no longer how much it costs to get to space, but who can … Read more

the secrets of Germany’s economy

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The imposed obligation by Beijing to German companies to provide sensitive information to continue importing rare earths is not a mere administrative procedure, but a full-scale transfer of industrial intelligence, one in a context in which Germany faces the risk that this data will be used for a wide variety of formulas. Asymmetric dependency. The new ones chinese controls require forms with a level of unusual detail (from product photos showing where the rare earths are housed, to manufacturing diagrams, customer lists, three years of production data and future projections). Why does it matter? Because they will allow Beijing to rebuild with precision which companies depend from a single supplier, who operates without an inventory buffer, where a delay in licensing would stop an entire sector and how that dependence branches out into subsequent value chains. Plus: the German industry accepts because there is no room for maneuver: with the 95% of supply coming from China, refusing is equivalent to stopping, and the rotating nature of the six-month licenses turns material dependence into periodic renewal of obedience. Germany provides information. Bloomberg counted that, while Beijing accumulates data that allows it to control the deep level of European industry, the German government does not have of that same visibility on their own industrial champions: the official questionnaires were not answered, the meetings did not yield information and any attempt to impose mandatory nature would clash with a political climate saturated by the promise of reducing bureaucratic burdens. This produces a strategic paradox: that China knows more about the German industrial anatomy than Germany itself, and the information asymmetry increases just when the country becomes more dependent on external supplies and more vulnerable to selective interruptions. From commercial tool to pressure instrument. He licensing mechanism is inserted in a dynamic that transcends trade: if Washington used China’s dependence on American technology as a weapon, Beijing responds using its supremacy in critical materials to force European concessions. The “white list” of the German embassy (designed to prioritize licenses for large groups) revealedFurthermore, unintentionally, what are the nerves industries that Berlin cannot afford to lose, providing China with a guide to apply surgical coercion. The data allows not only to interrupt civil production but also to infer the structure of the European defense industrial base in the midst of a rearmament cycle precipitated by Ukraine. Coercion and fragmentation. Bloomberg explained that China already suggests implicit barter (lower limits if Europe loosens technological restrictions) exploiting low German internal cohesion: companies demand public compensation To diversify, the government responds that ensuring supplies is a private duty and both postpone decisions because diversifying costs capital, time and reputational risk. At the same time, Beijing prefers negotiate bilaterally with Berlin before the EU to maximize leverage, and Merz arrives at that table without any real ability to threaten replacement because any swap chain makes the final product more expensive and erodes competitiveness, making it more expensive to leave than to remain trapped. Second China Shock. Plus: there are many analyzes that agree that Germany is the most exposed European country to the so-called “Second China Shock”: China’s turn from key customer to competitor with overcapacity in automotive, batteries and solar, supported by a post-pandemic trade surplus that has reached historical levels and fuels an export wave that is difficult for German industry to absorb. The result is downward pressure on prices and margins, a drop in orders for machinery and cars, labor conflicts and retrenchment or relocation plans while the Chinese market brings fewer benefits and more rivalry. Minerals add fuel. This vulnerability is aggravated by the new regulatory coercion of Beijing on critical minerals that we had (which extracts intelligence from supply chains and can interrupt inputs), so that the same Germany that led the European export model now suffers a clamp: subsidized competition from Chinese “surpluses” in key sectors and dependence on essential materials controlled by China. In fact, think tanks and organizations they document it: from that diagnosis from the “China shock 2.0” focused on automobiles and machinery, to the rebound in the Chinese surplus and the expansion of quotas in cars, to the reports on overcapacity and distortions in EVs and photovoltaics, and the deterioration of German manufacturing performance with China going from demand engine to systemic rival. Strategic lesson. If you like, if we broaden the focus, the framework should not surprise Beijing much: years of warnings about its intention to dominate bottlenecks are now being revealed. materialize in rules that turn industrial dependence into political leverage. Controlling rare earths not only ensures tapensures the complete map of the rival’s pipes and valves. Under this architecture, China does not need to cut off flows: it is enough to condition its renewal and demand intelligence in exchange for Europe to pay, again and againhe privilege to continue depending. The underlying warning is crystal clear: those who delay diversification do not freeze the risk, they capitalize on it in favor of the supplier. Image | Uwe Aranas, Ra Boe/Wikipedia In Xataka | China opted for rare earths as the key to its global influence. A country has bypassed that lock In Xataka | China knows that land is its ace to prevail over the US in the trade war. A country wants to thwart your plans

OpenAI has turned the global economy into Russian roulette with a single bullet: AGI

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2025 is being the year in which OpenAI has ceased to be a technology company and has become a black hole that attracts capital, expectations and the destiny of companies that move billions, with a ‘b’. Sam Altman has designed a scenario where there are only two possible outcomes: AGI for them or collapse for everyone. Why it is important. OpenAI’s valuation has reached $500 billion as an unlisted company. It has moved more than a billion (also with ‘b’ and it is not a false friend of “billions”) in deals in recent weeks. Those figures only make sense if they get the AGI (Artificial General Intelligence). If not, everything explodes. The panoramic. A year ago, a round of 6.6 billion It seemed like an astronomical figure. Nine months later, 40 billion. Now we talk about 100 billion with NVIDIA. And so naughty. When we reach these magnitudes (and they are repeated) we stop talking about simple capital injections and talk about binary bets on the future of the world economy. The problem is that these figures have dragged other giants to the same precipice. The backdrop. Microsoft was the first to get hooked. Then he considered divorce and since then They are still together, but sleeping in separate beds. Furthermore, OpenAI has achieved something more dangerous: chaining Oracle, AMD and above all NVIDIA, the most valuable company on the planet on the stock market. If OpenAI clears its throat, all NVIDIA knobs jangle. And if NVIDIA falls, it drags down the S&P 500. The domino effect would reach pension funds, corporate spending and the US GDP. And from there, a chain effect for the economy of the rest of the world. behind the scenes. NVIDIA is not only funding OpenAI, it is also guaranteeing some of the debt the startup needs to build its own data centers. Is circular money: NVIDIA sends money in exchange for shares. OpenAI uses it to rent chips from NVIDIA. And those contracts allow NVIDIA to take on more debt to continue financing OpenAI. A loop that only works as long as the music continues playing. When the Titanic began to sink, the orchestra’s musicians were forced to continue playing. Yes, but. AI already works. It is already transforming sectors. Nobody doubts it. You don’t need to be AGI to have value. The problem is that OpenAI does need AGI to justify these insane valuations. They have set up a structure where any slowdown, any sign of doubt, will trigger panic. The money trail. Altman has found in Masayoshi Son to the perfect partner. The SoftBank founder has a history of big bets blowing up and miraculous saves (Alibaba, ARM). The Altman-Masa combination is a capital cannon pointing skyward. But it is also a detonator: if they fail, the explosion will be proportional to the ambition. According to Altman’s analysis, OpenAI has to beat Google before the latter’s TPUs hit the market and change the rules of the game. That’s why the rush. That’s why Atlas. That’s why the agreements with Broadcomconversations with Intel, promises to AMD. It’s not just about building the best AI, it’s about surviving until you get it. The big question. What if another macroeconomic event stops everything before superintelligence arrives? OpenAI is racing against the clock, it needs AGI before the economy trips over its own shadow. Meanwhile, the market rewards these alliances with instant increases. Oracle has multiplied its value just by announcing agreements with OpenAI. Capitalism of expectations: benefits are no longer needed, only promises of a future that does not yet exist. The same thing happens to others because OpenAI is the new King Midas. Decisive moment. This is no longer a bubble that can burst. It is a bet that can fail. And the difference matters. A bet drags down everything around it. OpenAI is already too big to fail without causing a cataclysm. Which makes it probable an Intel-type state bailout if things go wrong. Altman knows that many AI companies will disappear when the euphoria ends. Only the largest will survive. OpenAI plays at being so big that it has to be rescued. It’s already happened with the dotcoms‘. It can happen again. OpenAI has forced a binary scenario: either we achieve AGI or we face a brutal recession. AI works, transforms, improves processes. But that is no longer enough. We need trillions in value created. And if they don’t arrive in time, the collapse will be rapid. And ugly. In Xataka | AI is giving a second youth to unexpected actors: the old guard of enterprise software Featured image | OpenAI, Alexander Gray

The companies of AI tell us that they want to achieve an AGI. What they are really conquering is the economy of attention

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Sora 2 is already with usand with it a tool that will allow anyone to create great videos generated by AI. The problem is that we will have an even greater problem of “Ai Slop“(” Bazofia generated by AI “): Internet is direct to become an even more gigantic hay career for the economy of attention. What’s happening. In recent days we have seen a goal to launch vibes Ya Openai launch Sora 2. Both applications are actually platforms in which to discover, create and share videos generated with AI. Both democratize that access to generate video content easily through their AI models, and we will no longer have to be an expert in Premiere, Davinci or dedicate hours to the script, recording, editing and publication of the videos, because AI does everything much easier. That does not mean that this content will be better: only there will be more. A lot more. Sora’s website greets us with a “Explore” section in which we can move vertically to see content destined for one thing: to have us trapped by the Doomscolling. Trapped in doomscrolling. The result of these initiatives can be seen quickly in the Sora websitein the application of iOS (for the moment, only in the US) or in the Meta Ai Ai and vibes. Here we have infinite content that moves and whose cost of production for the user is zero euros (for a video, if you want to create many the thing changes and you will have to pay a subscription) and just a few seconds. The incentive not to stop creating videos is huge, because the promise is that “anyone can create viral videos.” But. What these tools raise is to turn the viral into a formula. For this, it is possible to use emotional templates in a simple and direct way and that appeal to our attention. We have filters of nostalgia, indignation and tenderness on demand, for example, and the risk is the death of authenticity: everything seems designed by an algorithm. Quantity (and immediacy), no quality. These platforms – and those that are to come – are like gigantic automated content farms and are designed for user retention, not to give value. The content is the new slot machine, and the “AI Slop” manages to exploit our cognitive biases better than ever. It is synthetic dopamine at an industrial scale. 11 tricks to dominate Tik tok More creators = more slaves on platforms. Facebook created its empire convincing users to create content for it. Suddenly they were creators and consumers, and social networks took advantage of the reef and put us to publish reflections, links, and share photos and videos of all kinds. For some that was not enough claim, but being able to do everything with AI can attract new audiences (creators?). The user is more than ever the unpaid worker and the product. And those platforms want to attract the maximum possible number of usuals for the same thing that Facebook did it 20 years ago: to monetize that attention. Will it give us the same not to believe anything? In that martemágnum of content generated by the contamination of the contents, it promises to be so exceptional that it will be more difficult to distinguish the real from what is generated by the. A couple of years ago the thing was relatively complicated with imagesbut today it is almost impossible. There is an obvious risk that goes beyond the Deepfakes and the possible fraud and scams: the threat is that We will not even believe that real images and videos are indeed real. The AI ​​Slop era began. The “AI Slop” or “Bazofia generated by AI” is content generated by AI which is technically impressive but probably lacks meaning, authenticity or purpose beyond achieving that immediate attention by users. We have already seen how these tools already serve to generate comments and texts of text and images, but the video is even more powerful. OpenAI wants to kill Tiktok. In fact, with Sora 2 and its new website and app the objective, whether indirect or not, is to end Tiktok, which He owned and lady of the short video format. That users can now generate content with themselves as protagonists doing all kinds of impossible things thanks to AI is an extraordinary claim for many traditional Tiktok users. The “cameos” are a possibly addictive and brilliant product to achieve that goal. Before uploading a video with which to create cameos or mixtures, Openai warns of the implications. Is that enough for us not to create them? But. Of course, risks are important in security and privacy. The fraud and scams with increasingly credible deepfakes will be difficult to detect, but it is also asked where privacy ends if a platform ends up having ours images, videos and audios that can be edited and remix if we allow it. OpenAi offers configuration options, parental controls And warnings when it comes to uploading content, but it is not clear if that will be enough. In Xataka | Differentiating the AI ​​content on the Internet is increasingly difficult. The solution goes through something similar to fillets

The new economy values ​​the story more than the numbers

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The risk capital always has something perverse in its arithmetic. Nothing has closed a 200 million dollar round that triggers its valuation up to 1.3 billion. Its total sales since 2020 are barely 1,000 million, so Tiger Global, who leads the round, is paying in tomorrow what the company has not yet billed throughout its history. More than investment seems theology. Because Carl Pei does not sell phones but the promise of being the anti-establishment. That transparent design, with LED guts flashing like a mechanical heart, is marketing that disguises itself as a message and cause. Each nothing sold is someone saying “I am not like you, user of iPhone”, “I am not like you, who has an android without personality.” It is a rebellion against technological conformism, despite the fact that the mobile leaves the same Chinese factories financed with the same risk capital. But it works because Investors do not buy market share (Nothing does not reach 1% world), but narrative. Same reason why a telephone more sanitized that is never worth half than before: he Storytelling Milagros work. And Nothing’s is that perhaps the technological David can, someday, stagger Goliath. Carl Pei’s genius is, rather than in his narrative, in his Timing narrative: Launches the company just when OnePlus, its previous creationit was becoming predictable and one more. Promises be Ai first When the rest promise the same. Talk about smart glasses, humanoid robots and electric cars before demonstrating a profitable smart watch. He is the perfect entrepreneur for the era of the business fomo: credible enough not to look like a charlatan, ambiguous enough For each investor to project their own fantasies “X100”. In addition, the cast of investors says everything. Tiger Global leads, but there are all the usual suspects: Is patient capital disguised as Intelligent capital. They know that nothing probably never justifies that assessment with a balance in hand, but in the casino of the SeeNTURE CAPITAL You just need a file to fall into the correct number. The interesting thing is that PEI has built something real. Its products are at least competent. Some even good. Not everyone can say the same. He has created a brand that has fitted in that group with Apple-Samsung duopoly, to whom the Pixel leaves them cold and felt as a stab the rise in xiaomi prices. Careful, History is repeated. PEI has shown that a hardware company can be built from London: there is life beyond Silicon Valley, Suwon and Shenzen. The problem is not nothing, it is a system in which the history that you tell about your company is worth more than the company. Where “disruptive potential” is a blank check and where numbers are only for accountants. The lesson here is to understand that In the economy of attention, memorable design and narrative COhere they are worth more than the market share. Nothing has converted statistical inconsequence into cultural relevance. And that, in 2025, is quoted at 1,300 kilos. Outstanding image | Nothing In Xataka | Nothing Phone (3), Analysis: it was very bored of the usual mobiles. Until the first high -end nothing arrived

This is the economy of the YouTube star

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Jordi Wild is one of the most prominent content creators in Spanish speech. In the non -quantifiable part, your podcast ‘The Wild Project’ is tremendously influentialand generate millions of viewers and listen every month. However, there is not so much talk about the Jordi Wild entrepreneur, which has managed to build an authentic empire. Your figure It is not far from the controversy and the controversybut the numbers are indisputable: Jordi is doing well. An unstoppable ascent. The YouTuber and Podcasts created its YouTube channel ‘in 2013The Rincón de Giorgio‘, initially with a content very similar to that of others of his time: gameplaysreaction and parodies videos. But soon he cultivated it with a more personal content: current debates, criminal psychology … in 2020 he started with ‘The Wild Project’, which currently On YouTube It approaches the 7 million subscribers, and more than 95,000 in podimo. Its impact is reflected in the waves that it won last year and also in its accounts, deposited in the Mercantile Registry and have analyzed In digital economy. The numbers. In 2024, his company Project Entertainment reached a turnover of 2.4 million euros, which represents a growth of no less than 40% compared to 1.7 million 2023. Translation: benefits of 1.35 million, with an increase close to 20% compared to the previous year, where 1.1 million was reached. There is another way of saying it: Mercadona’s net benefit is 4%, Inditex’s 15%, Jordi Wild’s 56%. The comparison is unfair, of course: the business volume is neither remotely comparable and Jordi Wild has much more growth space than these consolidated companies, but the comparison makes sense in terms of business. And more numbers. Project Entertainment is in Manresa, and in 2024 he contributed 114,945 euros in taxes on benefits, approximately 8% of his profits before taxes. Of these benefits, Wild allocated 344,000 euros additional to voluntary reserves to strengthen heritage and withdrew 1,007 million in dividends, in compensation for his work. The company has a net assets of 1.9 million euros, with a short -term debt of 209,000 euros. Total assets reach 2.14 million euros, highlighting 1.7 million in cash and other liquid assets, along with 200,000 euros in financial investments. Where does that money come from? It is estimated that ‘The Wild Project’ generates monthly income of between 200,000 and 300,000 euros, equivalent to more than 8,000 euros per day. This project is one of your company’s main financial engines. Jordi Wild counted on The podcast ‘The Yellow Placita’ that “right now I have annual sponsorships (Thanks to those who) There may be months between 200,000 and 300,000 euros. (…) All this talking about ‘The Wild Project’, which has been catapulted economically because it is very well paid. “ Not everything is glory. Of course, not everything is profits in Jordi Wild’s emporium. There have been projects that They have not come forward and that he has had to freeze, as an idea for an indie horror video game whose development was arrested for a disagreement between him and the study that was programming him. Or the Dogfight Wild Tournament 3, the fighting tournament without rules that raised and cost about 800,000 euros, of which the youtuber recovered just over half for sales and sponsorships, thus registering The greatest economic loss of his career. In Xataka | Jpelirrojo and Soyunapringada have starred in some of the most notorious internet Broks. And they have started again

Nvidia is the Canary in the mine for the world economy. It depends on whether a recession arrives or not

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Nvidia will present its results from the second fiscal quarter on Wednesday. The market Wait for income of 46,000 million dollars54% more than a year ago, with benefits per share of $ 1.01, 48% higher. Why is it important. Nvidia is no longer just one more technological company. With almost 8% of the weight of the American index S&P 500 and a market value of 4.3 billion dollars, its results move world bags. Investors hope that Wall Street ranges 0.9% after knowing the figures, more even after types of types of interest of the Federal Reserve. The context. Large technology still invests fortunes in artificial intelligence. Amazon, Microsoft, Meta and Google represent 40% of Nvidia’s income. Their investment plans in data centers and graphic processors do not show brake signals. Goal has just launched Your Superintelligence Laboratory. Tesla bets on autonomous cars and humanoid robots. The problem is that the market already discounts perfection. The action quotes in its historical maximums and any disappointment, however small, could trigger a brutal correction. Yes, but. China is still the great unknown. The Chinese government has just recommended to local businesses that Avoid NVIDIA H20 chipspecifically designed for that market. The United States had authorized sales in exchange for keeping 15% of incomebut the commercial war threatens a market valued at 50,000 million dollars. Between the lines. Analysts are still extremely optimistic. Nine investment firms have uploaded their target prices in the last week to an average of $ 194, 9% above Friday’s closure. But the option of options Sample nervousness: investors expect a 6% movement in any direction. Sectorial rotation has already begun. Technology has been the worst stock market sector in August and interest -ranking values ​​have taken off. Small companies rise 5% in the last month. The construction companies, 10%. At stake. If Nvidia disappoints, even if it is minimally, it could trigger a massive sale in technology and confirm bubble fears in artificial intelligence. If you exceed expectations, it will revive the technological increases and remove the ghosts of the recession. As says The strategist Art Hogan: “Nvidia has the potential to be the positive catalyst.” Or, we would add to sink everything. In Xataka | The countdown begins: Nvidia is going to give your chips to the push you need to maintain their domain Outstanding image | Nvidia

There are turbulence in the world economy and the great Asian millionaires are clear where to put their money: in Bitcoin

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The wallets of the great Asian heritage are changing, and do so at a dizzying pace. Far from the caution of previous years, the richest families in Asia or ‘Family Office‘They are adopting cryptocurrencies Not as an eccentricity, but as a fundamental pillar of its investments. Promoted by a bull market, a generalized adoption and, above all, by New favorable regulationsAsian money flows to digital assets, marking a before and after in the perception of the sector. A moment of Bitcoin as never seen before. This renewed Asian interest coincides with a sweet moment for the market: Bitcoin has spray records this month. So much that has overcome The $ 124,000 barrier. Of ‘try’ to be ‘essential’. Until recently, the strategy of wealthy Asian investors was to allocate a small portion of their wealth to cryptocurrencies, almost like an anecdote of their balances. Today, The mentality has taken a 180 -degree turn. The Director of Investments of Digital Revo Family Office It indicates that last year these families or ‘Family Officers’ began to tote the terrain of cryptocurrencies. But it has not been until now when they wanted to have a token directly. This change translates into an unprecedented demand. Heritage managers claim to receive a growing number of consultations, cryptocurrency exchanges They see their negotiation volumes shoot and the specialized funds in cryptoactive are booming, as reported by Reuters. New funds of crypts that triumph. A clear example is that of Nextgen Digital Venture. Its founder, Jason Huang, launched A new crypto-action background In Singapore at the end of May and success was immediate. He points out that they raised “100 million dollars in just a few months.” And the result has been very good, since this first fund closed 2024 with a 375% profitability in just two years. Points to the following: Our investors – mainly family and entrepreneurs of the Internet/Fintech – recognize the growing role of digital assets in diversified portfolios. A trend that goes to the future. Precisely, the Swiss Investment Bank UBS Corroborate this trend To Reuters, pointing out that some family officers of great Chinese fortunes plan to increase their exposure to cryptocurrencies to reach about 5% of their portfolios. Regulation is the key piece that drives trust. Specifically, two recent laws have been very significant. The first one is the Hong Kong Stablecoins Lawwhich was approved in May 2025 and establishes a complete regulatory framework. It forces any stablcoins issuer referenced to the Hong Kong dollar to obtain a license from the Monetary Authority of Hong Kong and to meet strict requirements, such as a disbursed share capital of at least 3.2 million dollars. Something that has given stability and security to investors. The US law genius act Signed by Donald Trump in June also has part of responsibility. And it is that it establishes license and supervision requirements for the emitters of Stablecoins, which requires that they are 100% backed by liquid reserves such as effective or treasure bonds and reinforces consumer protection. Something that has also given a lot of confidence to the market. More sophisticated strategies and bitcoin as refuge. Investors are no longer limited to buying and waiting for results. Some managers such as Lighthouse Canton point out that the most advanced family officers They have begun to adopt neutral market strategiessuch as the ‘Basis Trade’ and arbitration. All to improve their yields. In addition, in a context of macroeconomic uncertainty, Bitcoin is consolidating as a “portfolio diversifier.” Giselle Lai, associate director of investments in digital assets at Fidelity International, explains that investors use it more and more to cover the risks, given their low correlation with traditional shares and bonds. The numbers do not lie. Hashkey Exhange, one of the license platforms in Hong Kong, has seen how their number of customers has shot 85% year -on -year. The same happens in South Korea, where the three main exchanges have registered a 17% growth in their total negotiation volumes so far from 2025 compared to the same 2024 period according to Reuters. Behind cryptocurrencies there are many stories. Apart from being a big business, over the last months we have seen failures such as Terrausd collapse or its prominence in The next East Wars. But there are also many surprises, such as The revaluation of 80,000 bitcoins at 17,000,000% or the Lord that He lost to his misfortune a hard drive With great economic value in Bitcoins. Images | Traxer Christian Joudrey In Xataka | Another cryptocurrency guru has just fallen in the US: he founded a promising platform and ended up washed 500 million

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