Anthropic

Anthropic has moved ahead of OpenAI in its race to go public. This is very bad news for Sam Altman

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Anthropic confirmed on Monday which has formally registered its application for its long-awaited IPO. The operation may become the largest in the history of its type, and reminds us of another singular moment. In August 1995, Netscape went public and marked the beginning of the era of the Internet and dotcom fever. That turned out to be a bubble, but “good”. The question is if it will be repeated what happened then. The original Netscape moment. When Netscape went public, the company had only been on the market for 16 months and had not made a profit in all that time. It didn’t matter. The shares went on the market on August 9, 1995 with an initial price of $28. On its first day of trading, the value skyrocketed quicklyreaching a high of $75 before closing at $58.25. In December of that year it would reach its maximum value, $171 per share. The rest, as they say, it’s history. Netscape’s IPO sent the Nasdaq technology index soaring… until the dot-com bubble hit in 2000. Source: Reuters. Anthropic could break all records. Anthropic’s spectacular growth in recent months has made the company in the pretty girl of the AI ​​sector. The recent investment round has raised its valuation to $965 billionan incredible figure considering that the company is barely five years old. It has also overtaken OpenAI, whose valuation It is currently around $850 billion.. Both were moving to go public this year, but Anthropic has gone ahead again, something that at first glance seems like another victory against its main rival. What Netscape taught us. The explosion of Netscape in 1995 gave rise to fierce competition: companies promising gold and moro did not stop appearing, and the dotcom bubble grew. Too many companies managed to attract investment without a clear business plan and the situation ended up leading to the bursting of the bubble. A few companies survived and managed to become the great giants of today’s technology. good bubbles. That bubble could be described as “good” because although many companies failed, those that remained and those that were created later ended up leading this revolution called the internet. For many, the AI ​​bubble exists, but it is similar to the dotcom bubble in that: many companies could disappear if it bursts, but the final result, they say, will be positive for the evolution of our planet. But Anthropic is very different from Netscape. Although these IPOs present certain analogies, the situation of these companies is very different. Netscape suffered greatly to monetize its software and would end up in the hands of AOL in 1999 when its stage was closing. Anthropic has shown that its approach to businesses works, and in fact this past quarter it surprised by achieving profits (with small print) when everyone expected losses. And still, total uncertainty. Anthropic’s projection—like that of OpenAI—is spectacular on paper, but we are talking about companies that in recent years have not stopped burning money to achieve the most powerful models on the market. All technology companies have been devoured by the AI ​​fever, but today the only ones who win (a lot) money are those that provide components for AI infrastructure. Milestone. The bet is that this infrastructure will be necessary because we will all use AI models on a massive scale, but it is not at all clear that this expectation will be met. It may not, but Anthropic’s IPO will certainly mark a milestone in the dizzying growth of this segment. And victory for Amodei. This year we will likely see three historic IPOs. SpaceX seems to be the first in breaking records, but both Anthropic and OpenAI follow in their footsteps. That the company led by Dario Amodei has formally confirmed its preparation for that exit is a symbolic victory against its great rival, Sam Altman, who is also planning the IPO of OpenAI. In recent months Anthropic has managed to turn the tables, and has gone from being the pursuer to the leader of a race that certainly is not over yet. Image | Wikimedia In Xataka | Anthropic is one step away from being worth as much as Samsung. And what the market is buying is not Claude

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”

Anthropic is about to achieve something that seemed impossible for a large AI company: make money

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In a data leak published by The Wall Street Journalthe artificial intelligence laboratory founded by the Amodei brothers has informed its investors that it will close the second quarter of 2026 with revenues 130% higher than those of the first quarter of the year. It is a colossal achievement that also achieves something unusual for these companies: they will have an operating profit of 559 million dollars. They earn more than they spend. According to these data, the company will reach $10.9 billion compared to $4.8 billion in the first quarter. Its quarterly growth rate already exceeds Zoom during the pandemic or those that Google and Facebook had before their stock market increases. It is quite a breath of fresh air for an industry accused of being a gigantic bubble. The rivals, fatal. While Anthropic gives the big surprise, the rest of the competitors are still in a good financial situation. For example, OpenAI confessed to its investors that does not expect to see benefits until 2030. It didn’t work out well for xAI either, which carries losses of 6.5 billion due to investments in data centers. How did they achieve it?. To achieve this milestone, Anthropic has differentiated its strategy from the beginning. It has focused mainly on companies that pay for the intensive use of its agentic tools (Claude Code) and its APIs (Claude Opus/Sonnet 4.7). It also uses chips from manufacturers such as Google and Amazon, and has managed to optimize its spending in the cloud. It is therefore more focused and it is more efficient than its rivals, and that has had a clear effect on its balance sheet. Mythos as reputational success. In recent months Anthropic has fought several political and media battles and seems to have emerged victorious from all of them. Have Pentagon attempt rejected By controlling how its AI models were used was a clear boost to that brand image. But also the launch of its Mythos model It has been especially striking because although it is not publicly accessible, it does not stop giving headlines that seem to confirm that what Anthropic said (“it is so good that we better not release it”) was true. But. Although the figures are promising, there are nuances in these estimates. Not being a public company, Anthropic uses accounting methods that benefit it in this forecast. For example, it includes as direct revenue the sales of its models through its partners, such as AWS or Google Cloud, something that OpenAI does not do. In addition, it excludes stock compensation for its employees and these results do not guarantee that this profitability will be maintained throughout the year. We will see more quarters in red. The profit achieved would be extraordinary for many companies, but it is pocket change for Anhtropic. The company recently committed to spending $15 billion in SpaceX computing capacity using Colossus clusters. At the moment everything indicates that these benefits will be temporary and the company will return to red numbers. And yet, its evolution is currently more positive than that of OpenAI, against which it has not stopped winning battles for some time. In Xataka | Nvidia’s financial results are simply dizzying. And it still hasn’t sold a single chip in China

The sector already invoices 80,000 million a year, but OpenAI and Anthropic take 89% of the income

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Everyone wants to get a piece of the AI ​​pie, but the reality is that the pie today belongs to two companies: OpenAI and Anthropic. This confirms it an analysis from The Information in which the income of the 34 most relevant companies in the market today has been analyzed. The accounts are beginning to be striking, but so is the reality of this new technological duopoly. The sector doubles income as a whole. According to the data collected by this means, these 34 companies have an annualized income of 80,000 million dollars, about 6,600 million dollars per month. That represents 112% more than six months ago, which means that these companies have grown more than double in that period of time. The most relevant fact is not in fact that. But in reality Anthropic and OpenAI are the ones thatthey win. That figure would be promising if it weren’t for the other major conclusion of the study: 89% of that income goes to just two companies: Anthropic and OpenAI. The other 32 share “the crumbs”, because almost 9 out of every 10 dollars in income goes to the accounts of these two new technological giants. This is generative AI. The analysis published by The Information includes the 34 main companies in the generative AI sector. Therefore, hyperscalers (Amazon, Microsoft, Google) or other large technology companies that participate in other areas of the industry. The report is therefore especially striking when it comes to verifying how much these companies are earning, and the reality is clear: they have grown very, very quickly. But (I). We have two big buts. The first: although both Anthropic and OpenAI are growing significantly in revenue, it must be taken into account that not all of them are for these companies. Anthropic has to give up some of that revenue to both Amazon and Google because they resell their services. OpenAI must also share 20% of its revenue with Microsoft until 2030, which means that this year it will have to pay about $6 billion. Companies have turned to AI, and the big winners are both OpenAI and Anthropic, which has accelerated exceptionally in 2026. Source: VisualCapitalist. But (II). The second but is even more important, and is that of a reality that continues to be overwhelming: these companies continue to spend much more money than they earn. OpenAI itself has estimated an expense of 600 billion dollars in computing capacity until 2030, and only in 2026 are their losses expected to triple to 14 billion dollars. It doesn’t matter if you win a lot: you keep losing even more. With Anthropic there is no recent spending estimate data, but the company itself has a projection of a cash flow of $17 billion in 2028. That is not the same as profits but it is a clear indication of when it expects to stop losing money. The important thing here is that this is an estimate. It could be fulfilled, but it could also not be fulfilled. The little ones grow. Three of the best-known AI startups have crossed the barrier of 500 million annual revenues since December and they now join Cursor, which achieved it last summer. These are Perplexity, ElevenLabs and Cognition, which demonstrate that they are already capturing part of a market that does not stop growing… and spending. But the big ones don’t stop distancing themselves. Although all of these startups already have an important dimension, Anthropic and OpenAI are at another level. Both have grown exceptionally and in recent times we have seen the takeover from Anthropic to OpenAI, which already has managed to achieve in market valuation. The creators of Claude were valued at 380 billion in February, but the success of Claude Code and his models in business environments has caused its price to skyrocket. The company plans to raise tens of billions of dollars this summer to reach a valuation of nearly a billion dollars. Stock market IPOs in sight. Both OpenAI and Anthropic are preparing their respective IPOs, and in both cases they hope to lift each about 60 billion dollars from investors to become companies right off the bat with market capitalizations that could be around a trillion dollars. It is an extraordinary figure, especially considering that at this time only 13 companies around the world they exceed that figure. In Xataka | Google and Amazon Just Invested Billions in Anthropic: It’s the Biggest Clue About Who’s Winning in AI

Anthropic does not offer its services in China. So China has invented a black market for Claude tokens

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Claude has become in the most desired model by the most demanding developers and engineers, but it is not available in mainland China for regulatory and safety reasons. The demand there remains notable, and to satisfy it, an underground token economy has emerged that allows local developers to access models such as Claude Opus 4.7, avoiding all the measures imposed by the blockade. No paying with Alipay. One of the measures that Anthropic imposes to prevent the use of its models in China is to only accept international credit cards such as Visa or Mastercard. Their payment gateways reject local payment methods like Alipay or Wechat Pay, giving Chinese users a first and important hurdle. One that they have already overcome. Virtual cards. What they are doing in China to overcome this problem is using virtual credit cards (VCC) like DuPay or WildCard. With these services it is possible to obtain Hong Kong or US credit cards financed with cryptocurrencies or through local transfers. This makes it possible to deceive the billing systems of Anthropic and other companies that offer banned services to Chinese users. SMS verifications They are also solved through “SMS farms” that also avoid this problem and even others such as identity verification that also have implemented in Anthropic. The “Transfer Stations” arrive (中转站). Another problem is that even overcoming that first barrier, latency and micro-cuts mean that the use of Claude in China is affected by continuous connection problems. To avoid them, so-called “Transfer Stations” have emerged, which are nothing more than servers that act as a bridge between foreign servers and Chinese users. These gateways receive requests from China and forward them to Anthropic servers as if they were coming from an authorized location. The latencies are also relatively low, which means that for Chinese users the experience is basically identical to that of a user in the US or Spain, for example. These stations are publicly known and do not only appear in listings on GitHub: there is a ranking with the best. Claude is almost free in China. The surprising thing about these methods is that they don’t just give Claude access in China: they do with ridiculous prices which can be 10 and even 5% of (growing) original price of the service thanks to those transfer stations. The question, of course, is how it is possible to access Claude at those prices. The almond tree trick. Thanks to the transfer stations, developers can access Claude at a price of 1 yuan for every dollar of tokens, or in other words, up to a 90% reduction in the official price. It is something that is discussed publicly and that makes it clear that several methods are used to achieve this: Mass purchase of capacity, Use of accounts created with stolen or fraudulent cards, Use of promotional credits, and A simple hook: providers lose money with Claude, but they manage to attract developers to whom they then sell more profitable local models like DeepSek. Am I really using Claude? One of the growing risks in the cheap token market is direct fraud. Some Chinese resellers have been caught red-handed offering what they call the “Claude API” when in reality what they were providing were much cheaper and mediocre models. For a user to detect this type of deception it’s very difficult unless you are working with complex tasks or you have already used models and know more or less what to expect from them. For victims, the effect is clear: they believe they are paying for the intelligence of Opus 4.7 when in reality they are receiving answers from a low-end AI model. Goodbye to privacy. When a user purchases tokens at one of these transfer stations, they completely give up the confidentiality of their data. All queries and responses end up passing through the intermediary’s servers, which can and apparently does use them to sell them to AI companies that use them to post-train their models. So everything they do and say when using these models is filtered and used as training data without the user knowing. A double business. For these providers, this business of reselling conversations is especially interesting in the face of the famous “distillations” of US models that take advantage of this data to “copy” the capabilities of those models and apply them to Chinese models. Anthropic can read us, but (theoretically) it doesn’t. It is true that the conversations we have with Claude (from Spain, for example) are also stored on Anthropic’s servers, but the company makes it clear in your privacy policy that does not use that data. In fact, we can even explicitly prohibit the company from using them in the privacy settings of Claude’s account. The game of cat and mouse. At Anthropic they know very well what is happening and they are trying to prevent it. For example, they have begun to intensively block IP ranges associated with VPN services or data centers known to be used in these transfer stations. Even so, Chinese providers usually respond with an “elastic” architecture that allows IPs of domestic residences to rotate, making the traffic appear completely normal. Image | Xataka with Magnific In Xataka | There is a thing called “Ornn price index”, it is out of control and it is bad news for everyone

It is called Anthropic and it is going to pay you 200,000 million, according to The Information

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Anthropic has agreed to pay Google about $200 billion over five years for more computing power, according to has published The Information. The figure would thus place the AI ​​startup as Google Cloud’s largest individual client, representing more than 40% of the backlog of earnings that Alphabet communicated to its investors last week. From commitment to commitment. A revenue backlog reflects contractual commitments already signed by a cloud provider’s customers. That Anthropic occupies more than 40% of Google Cloud says a lot about the extent to which the startup has become a structural piece of Alphabet’s business. There is also another nuance to highlight: that large AI companies like Anthropic or OpenAI still need the hyperscalers to continue growing, so in this sense, both Microsoft and Google can afford not to have the best AI models as long as they receive such an amount of income from offering such computing capacity. What the agreement consists of. According to they count In The Information, the pact, signed in April, includes massive capacity of TPUs (Google’s own AI chips), supplied in collaboration with Broadcom. However, this infrastructure will not be ready after 2027. Anthropic, for its part, not only works with Google hardware, since also uses Trainium chips from Amazon and Nvidia GPUs, playing its cards well to diversify suppliers and not depend on a single company that supplies computing capacity. The now classic circular financing. Alphabet has been investing in Anthropic for years: first it was $300 million in 2023, then another 2 billionafter 1 billion more in 2025. A few days ago we also discovered an investment of up to 40,000 million additional payments by Google, of which 10 billion would be disbursed immediately and the rest would be conditional on objectives met. In exchange, Google Cloud will provide an additional 5 gigawatts of computing capacity. This way, Google invests in Anthropic and Anthropic spends that money in Google. Is called circular financingand it is the key to how the foundations of AI are made of promises. According to account In the middle, the contracts signed between large cloud providers (Amazon Web Services, Microsoft Azure, Google Cloud) and startups like Anthropic and OpenAI already add up to more than two billion dollars in committed backlogs. Hyperscalers invest in AI startups and AI startups spend that money on the infrastructure of those same hyperscalers. Anthropic can’t afford it… and yet they do it. Estimates suggest that Anthropic’s server costs could reach 20 billion dollars only in 2026. The company is not yet profitable, but demand for its model family Claude continues to grow strongly in the business segment, which forces it to secure long-term computing capacity before infrastructure shortages prevent it from doing so. The agreement with Google adds to another recent one with CoreWeave and the forecast of securing almost a gigawatt of additional capacity through Amazon chips before the end of the year. Almost symbiotic relationship. Alphabet is at a time of maximum competitive pressure in AI. Your cloud business grew by 36% last year, and Anthropic is one of its most intensive clients. Losing that relationship, or seeing it migrate to other providers like AWS, would be a significant blow. Furthermore, with an Anthropic valuation that Bloomberg situates around 800,000 million dollars, and with a possible IPO Before the year is out, Google’s accumulated stake in the company could become one of its most valuable financial assets. It is not just infrastructure: it is also a capital bet. Cover image | Wikimedia and Fortune Brainstorm Tech In Xataka | If at some point NVIDIA has to choose between giving its best chips to the US or China, its choice is very clear.

Anthropic has just left behind Claude’s biggest burden. He has achieved this after sealing an alliance with Elon Musk’s SpaceX

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There are few things more frustrating than finding a tool that fits almost exactly what we need and discovering, just as we’re starting to get the most out of it, that we can’t keep using it at the same rate. Claude It has earned a prominent place among those who use artificial intelligence to program, analyze documents or work with demanding tasks, but it has also drawn a very specific complaint: its limits of use. We are not talking about a minor annoyance, but rather a friction capable of breaking the workflow. Anthropic has decided to attack the problem. The company led by Dario Amodei announced a rise of the limits of Claude Code and the Claude API, relying on a new alliance with SpaceXAI. The pact will give it access to Colossus 1, an infrastructure that Anthropic presents as a way to directly improve the experience of its most intensive users. The promise, for now, is clear: more room to use Claude without demand taking its toll so quickly. The tension with limits. The adjustment that helps understand this news came a few weeks earlier. Anthropic recently modified their time limits to better manage demand during peak hours. In practice, this meant that five-hour sessions could be consumed before those actual five hours had passed if the use occurred during peak periods. The change especially affected those who made more intense use of Claude. More room to use Claude. Anthropic specifies the improvement in three changes that, according to the company, take effect immediately. The first is the doubling of Claude Code’s five-hour limits for Pro, Max, Team, and Enterprise plans per seat. The second is the removal of the peak limit reduction for Claude Code on Pro and Max accounts. The third affects the API: Anthropic says it has considerably raised the usage limits for Claude Opus models, although the exact scope depends on the limits table published by the company itself. Colossus muscle 1. The agreement with SpaceXAI is the most striking piece of the announcement because Anthropic ensures that it will be able to use all the computing capacity of the Colossus 1 data center. According to the company, that means more than 300 megawatts of new capacity and more than 220,000 NVIDIA GPUs that will be available within a month. SpaceXAI also details that the cluster includes deployments of H100, H200 and GB200 accelerators. The transformation continues. SpaceXAI does not appear in this agreement as simply a new label within the SpaceX ecosystem. The context, Elon Musk noted that “xAI will be dissolved as an independent company” and that its artificial intelligence products will be integrated under SpaceXAI. The phrase helps understand why Anthropic is talking about this brand when explaining its new access to computing power. Of course, to avoid confusion, what Anthropic announced is not a purchase or a merger, but rather an agreement to use AI infrastructure. It is not an isolated agreement. Anthropic also wanted to frame the alliance with SpaceXAI within a much broader capability strategy. The company recalls an agreement of up to 5 GW with Amazon, which includes almost 1 GW of new capacity by the end of 2026, and another 5 GW pact with Google and Broadcom that will begin to come into operation in 2027. To this it adds a strategic alliance with Microsoft and NVIDIA, with $30 billion of capacity in Azure, and an investment of $50 billion in AI infrastructure in the United States with Fluidstack. The most futuristic part. The agreement also includes a much more speculative derivative. Anthropic says that as part of the pact, it has expressed interest in collaborating with SpaceXAI to develop several gigawatts of orbital computing capacity. SpaceXAI presents it as a possible answer to the pressure that AI is putting on energy, land and cooling on the ground, but for now we are far from something tangible. Of course, this route would only make sense if important engineering challenges are overcome first. The real challenge. Anthropic has put on the table a direct answer to one of the big complaints surrounding Claude, although the most important part is still missing: checking how it feels in real use. SpaceXAI’s new limits and additional capacity seem to point in the right direction for those who work intensively with these services. The improvement, therefore, opens a new phase: that of checking if Claude can offer more margin without its users encountering the same wall again too soon. Images | Xataka with Nano Banana In Xataka | The “token economy” is broken: flat AI programming fees are mathematically unsustainable

Anthropic and OpenAI know that where AI is making money is in companies. They have found a way to squeeze that strategy

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We end users no longer matter much to the AI ​​giants. These companies are confirming that income is currently in the professional world, and they are already making moves to conquer that segment. And if they have to do it company by company, so be it, because now OpenAI and Anthropic are a little less AI companies and a little more consulting. AI is more business than ever. Anthropic and OpenAI have understood that the real business of AI is not currently in individual $20 subscriptions, but in integrating their AI models into all types of corporations. Both companies have almost simultaneously launched alliances with other companies to provide consulting services. The objective is simple: to stop being external web tools to become the “operating system” of thousands of businesses through these exclusive sales channels. Anthropic on the one hand… The company led by Dario Amodei has formed a joint venture with Blackstone, Goldman Sachs and Hellman & Friedman valued at $1.5 billion. This new firm will act as a consultancy bringing Claude directly into the operating environments of mid-sized businesses, from mid-sized banks to local manufacturers to healthcare systems. These companies have committed to provide $300 million each for AI engineers to work closely with these clients to integrate custom solutions. …and OpenAI on the other. In turn, Sam Altman’s company has not been slow to replicate that initiative with the creation of the so-called The Development Company, an entity valued at about 10,000 million dollars. It is backed by funds such as TPG, Bain Capital and SoftBank. Theoretically, OpenAI has already raised $4 billion to accelerate the adoption of its AI models in more than 2,000 companies that are already part of those investors’ portfolios. The initiative is led by Brad Lightcap, until now COO of the company, and who wants to make the GPT family models an integral part of the operations of all types of companies. Engineers on the line of fire. To promote these strategies, both companies are adopting the so-called ‘Forward Deployed Engineer’ (FDE) model, a deployment system that was already popularized by Palantir and that consulting firms traditionally use. Instead of simply selling an API, Anthropic and OpenAI will send their engineers to work with doctors, financial analysts, or IT staff so that their AI models can be seamlessly integrated into those professionals’ real-world workflows. Going public as a goal. In recent months we seem to be experiencing a race against the clock towards the IPO in both cases. With absolutely stratospheric valuations (OpenAI 852 billionAnthropic hanging around 900,000 million), the pressure to justify these figures to the public market is immense. The integration of programming tools such as Claude Code has been a clear driver of recent growth, but the real gold mine is in the automation of processes in sectors such as health or finance. If you are joint ventures fail to scale quickly, the valuation bubble could deflate before those IPOs. Conflicts of interest. When a venture capital fund invests in a technology provider and simultaneously pressures its portfolio companies to adopt that same technology, competition ceases to exist. Many companies will not have much real choice based on product quality. What is reinforced here It is that “circular economy” in which innovation is not chosenbut is imposed by financial and business interests. The customer does not buy because he needs the tool, but because his own financial owner has a stake in whoever supplies that tool. But wouldn’t AI automate everything? The dependence on the FDE model is paradoxical. Theory tells us that software must be infinitely replicable at zero marginal cost. However, these alliances show that AI is still not smart enough to operate without direct human supervision. We need someone to teach us how to use it well, the companies say, and both OpenAI and Anthropic are going to take advantage of that need even if what we really have is luxury personalized consulting. For now, AI will be more part of the services offered by a consulting firm than a truly autonomous “plug and play” tool. New Job: Deployment Engineer. Now Anthropic and OpenAI will not only be AI companies: they will also be consultancies in need of manpower. That also serves as an example that although AI theoretically will eliminate jobswill also create new ones. Here we face a growing demand for “deployment engineers” —OpenAI already requests them—, professionals who are precisely in charge of adapting these AI models to the needs of companies that want to implement them in their daily lives. And the data, what. There is another fundamental problem: medium-sized companies will not have much capacity to manage their data sovereignty. For Claude or GPT to function properly in the business, they will need access to critical workflows, medical records, or sensitive financial data. And when one cedes that control to third parties, they remain vulnerable. Not only that: the security of this data is compromised because in order to process it, it must leave and be processed in the cloud of an external provider. The AI ​​models of these companies can also probably learn from these processes, although it is reasonable to think that Zero Data Retention policies will come into play (“No data retention”). Image | TechCrunch | Wikimedia Commons In Xataka | The White House wants to review new AI models before anyone uses them: first the Pentagon, then the rest of the world

Sam Altman attacked Anthropic for using fear tactics with their new AI. He then did exactly the same thing.

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The big AI companies have set themselves a goal: practically every week They must present a new model or start warming up the atmosphere by commenting on what is to come. Delays are not tolerated because the speed at which everything happens is overwhelming, but those who continue to dominate the conversation in terms of the power of their models are OpenAI and Anthropic. And what had to happen has happened: if Anthropic has a new “dangerous” model, now OpenAI says they also have one. And it is a example very clear of “where I said I say, I say Diego.” GPT-5.5 Cyber. A few days ago, OpenAI released GPT-5.5 Cyber. This is a variant of GPT-5.5 focused and specialized in advanced cybersecurity capabilities. It is a model focused on tasks such as the exploitation of vulnerabilities, penetration tests, malware reverse engineering and other types of actions highly focused on that sector of computer security. In a reality in which, thanks to AI tools, there are systems that are more vulnerable than ever (and all this when we are on the threshold of the era of post-quantum cryptography), such specialized models seem like a very sweet tool for companies. But, of course, also for someone with other intentions. Access control. Due to concerns over potential dual use, OpenAI has made the decision to restrict access to GPT-5.5 Cyber ​​to “critical cyber defenders.” Who are these? Those that protect essential infrastructure such as electrical or financial networks. OpenAI has a certified access program with robust safeguards and rejection of malicious requests so that not everyone has access to this tool. In addition, they have a monitoring system to detect suspicious activity carried out by the model. With cannon shots. It is, in essence, the discourse of fear. Once again, an artificial intelligence company saying that they have a product so powerful that it cannot fall into the hands of just anyone. It’s not the first time that OpenAI uses this speech, but the times have been very curious. A few days ago, Anthropic presented Mythos. It is a tool very similar to that of OpenAI, one that is already giving some results in companies, with examples like Mozilla pointing out that, thanks to Mythos, the latest version of Firefox has a lot of security patches because AI has greatly streamlined the processes for finding vulnerabilities. It is one more example of the two titans of the AI ​​industry captaining ships with enormous firepower and “shooting” their best product with that speech of fear. Precisely, that’s where the problem lies. The hypocrisy. After the presentation of Cyber, Sam Altman commented at X that they were working with the Government to establish trusted access control to their tool. They have not shared the identities of those who will have initial access or, really, many details of the model. It has simply been a “oops, oops, this is very powerful and we can’t release it to the general public.” And, as we say, the problem is that Sam Altman himself harshly criticized Anthropic’s strategy when Mythos was presented. The CEO spoke about the strategy of fear and compared the maneuver of Anthropic and its declared enemy, Dario Amodei, with that of someone who manufactures an atomic bomb and, at the same time, sells you the bunker to protect you from it. This has not been overlooked by the media because he harshly criticized that strategy just before copying it word for word. At par. Despite everything, neither one nor the other is wrong. When AI companies present a model, curiously it is always better than the competition in almost everything. On this occasion, a assessment The UK AI Security Institute reflects that both Mythos and GPT-5.5 Cyber ​​are two of the most powerful models they have analyzed in their cybersecurity tests and that they are, basically, on par. Compared to previous or non-specific models, the difference is palpable. In expert-level tasks, GPT-5.5 achieved an average success rate of 71.4% compared to 52.4% for GPT-5.4. Mythos Preview, for its part, stayed at 68.6% compared to 48.6% for Opus 4.7. The Institute concludes by pointing out that this is evidence that the potential in cybersecurity is a trend among frontier models, one in which they can begin to achieve the desired benefits in order to become listed companies. Another reading is that countries that want to stop depending on cutting-edge American technology must start getting their act together as soon as possible. And that is, precisely, the message from the CEO of Mistral, the French AI company that recently pointed out that Europe had to stop being a technological vassal of the United States to become a power. In Xataka | Someone has had a simple idea so that data centers do not collapse in Spain: “unplug them” 18 days a year

Anthropic is one step away from being worth as much as Samsung. And what the market is buying is not Claude

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Anthropic, the company behind Claude, is exploring a new round of financing that would value it at more than 900,000 million dollars. If it closes, it would surpass OpenAI as the world’s most valuable AI startup. Altman’s company set its needle at 862 million last month. The figure more than doubles the 350,000 million it had in February. In just two months. Why is it important. The valuation no longer reflects Anthropic’s sales. It responds to a bet on what the company can become in five years or a decade: a provider of something resembling an essential service. Anthropic bills Claude for subscriptions and accesses to its API. That business exists, grows quickly and has reasonable margins. But it does not by itself justify a valuation that is close to that of Samsung, the Korean megalodon that manufactures everything from the chips we carry in our pockets to the ships that cross the ocean. The context. What the market is buying with Anthropic, and as often happens in the stock market, is not the present, but a hypothesis: that a very small handful of laboratories will control the foundational layer on which the software of the next decade will be built. And that Anthropic will be one of those few. And it will do so in a very profitable way. The logic, on the other hand, is the same that led to overvaluing telecos during the bubble dotcom or to the electric companies at the beginning of electrification. Whoever owns the basic infrastructure sets the rules. Google has already committed 10 billion to the previous valuation, with another 30 billion conditional on objectives. Amazon has put in 5 billion and plans to inject 20,000 more. An IPO could come before the end of the year, around October. Between the lines. That Google and Amazon, two of the largest cloud companies in the world along with Microsoft, finance a company that also sells through them says a lot about how they understand the moment. They are ensuring supply, it is not just an investment in a supplier. It is the difference between buying shares in an oil company and buying a field. Anthropic is, for these hyperscalersa deposit. Yes, but. The hypothesis has its cracks. The models are commoditizing faster than it seemed a year ago. The technical difference between Claude, ChatGPT and Gemini It is measured in nuances, not in generational leaps. If foundational AI ends up being a commodity (something like electricity or water coming out of the tap), current valuations are unsustainable. If it ends up being an infrastructure with network effects and high barriers to entry (something like an operating system), they may even fall short. The market is paying for the second hypothesis. Time will tell. The money trail. Anthropic recently announced, with restrained fanfare, Mythosa model capable of detecting and exploiting vulnerabilities in critical software. The company deemed it “too dangerous” to release and has only given it to a closed group of companies for internal testing. Even so, it has been accessed by unauthorized users. That is exactly the reason why some investors pay these figures: such a model is not sold but granted. And whoever decides to whom it is granted has regulatory power de facto that not even a Samsung, at least outside of South Korea, has ever had. The big question. What happens if the bet goes wrong? A valuation of 900 billion means that Anthropic has to generate, at some reasonable point, revenues in the order of tens of billions a year with very high margins. It is possible. But it was also important for Cisco to maintain its 2000 valuation, and it has needed 26 years to tie. The difference is that this time the buyers of the bet are the companies themselves that depend on the result. This reduces the risk of a sharp correction. And he postpones it. In Xataka | There is a thing called “Ornn price index”, it is out of control and it is bad news for everyone Featured image | Xataka

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