OpenAI teamed up with NVIDIA and made circular financing fashionable. Anthropic has returned the ball with a surprise girlfriend: Google

Let’s see if we were going to believe that OpenAI was going to be the only one to look for powerful allies. Nothing of that: Anthropic just did the same and has announced an eye-catching agreement with Google. The AI ​​startup will have access to up to one million Google TPUs in a pact that is worth “tens of billions of dollars.” Less noise, but a lot of nuts. The figures of the agreement are modest if we compare them with those that OpenAI has managed in its circular financing agreements with NVIDIA, amd either Broadcombut here Anthropic seems to take a very different position. Compared to colossal projects like Stargate, Anthropic’s idea is focused on execution. Without making much noise, the company led by Dario Amodei has been gradually conquering the business sector. More than 1 GW of computing capacity. On CNBC indicate that this investment will allow the creation of a data center with a computing capacity greater than 1 GW and have it ready in 2026. It is estimated that a center of these characteristics would cost about 50,000 million dollars, of which about 35,000 million would be dedicated to AI chips. It may not be comparable to Stargate and the idea of ​​investing $500 billion in data centers, but the alliance between Anthropic and Google is significant. More than circular financing. The partnership certainly features elements of circular financing, but it is more of a symbiotic relationship with that cross-investment component. The dynamic is simple and is now completed with that commercial return. The agreement requires Anthropic to buy or rent infrastructure services from Google Cloud. Virtuous circle. With its original investment in Anthropic, Google helped that company grow, which in turn allows Anthropic not only the ability to grow, but the need for enormous computing power… provided by Google. In essence, some of the money Google invests in Anthropic returns to Google Cloud as revenue. The vicious (or virtuous, as they say in the US) circle is complete. Anthropic diversifies. Anthropic’s AI models are trained and used using infrastructure from various manufacturers. Thus, they use both Google TPUs and Amazon Trainium processors and NVIDIA GPUs: each platform is assigned to a specialized workload. In the case of Google’s TPUs, according to Anthropic the focus is “its strong price/performance ratio and its efficiency.” Promising successes, but… Anthropic’s growth is evident, and its annualized revenue rate (ARR) is now estimated to reach $7 billion. Claude Code, its developer assistant, managed to generate 500 million dollars after just two months on the market. But as always, that revenue can’t hide the fact that Anthropic, like other AI startups, you continue to spend much more money than you earn. Amazon is your other great ally. In fact, the company led by Andy Jassy has invested around $8 billion, when official data indicates that Google has invested $3 billion. AWS is still considered the largest infrastructure provider for Anthropic, and its supercomputer Project Rainierbased on the Trainium 2, allows you to have a large computing capacity for every dollar invested, they point out on Amazon. The company’s influence is not only financial: it is structural. Image | Wikimedia | Fortune Brainstorm Tech In Xataka | You thought you had an amazing connection on Tinder, but you were actually chatting with ChatGPT

OpenAI is building the biggest house of cards in history. Its “circular financing” aggravates the threat of the AI ​​bubble

Yesterday OpenAI and Broadcom announced a collaboration agreement that will see both companies design and deploy 10 GW of custom AI chips over the course of four years. It’s a new episode of that unusual strategy that OpenAI has carried out and which is summarized in an increasingly disturbing concept: that of circular financing. Multimillion-dollar agreements. In recent weeks we have seen how OpenAI has reached new agreements worth billions of dollars with large companies in the semiconductor sector. Thus, we have: Circular financing. All these advertisements respond to a unique circular financing strategy in which chip companies (the suppliers) not only sell their products to an AI startup (customer), but also invest capital in that startup, which in turn uses that capital to buy more products from its investor. In reality, the supplier “does not invest” as such, because that money ends up going back into purchases of its products and services. It is in fact something similar to what OpenAI did with Microsoft when the latter invested $13 billion in it. Rather than investing them, it allowed him to use a kind of subscription for that amount to use his cloud, Azure, and its computing resources. It’s a win-win for some and for others. OpenAI wins. These agreements allow OpenAI to have guaranteed access to computing, something you need like eating. The startup spends billions a year and still not profitablebut thanks to this strategy he obtains a massive flow of capital. In the case of Broadcom, it also manages to collaborate in the design of customized chips for minimize future dependence on other partners (such as NVIDIA or AMD) and thus enjoy a lower total cost of ownership in the long term. And by signing with three different semiconductor suppliers, it encourages competition and improves its bargaining power. Bright. Suppliers win. The circular strategy also benefits NVIDIA, AMD and Broadcom. All of them gain a customer with almost unlimited demand, and can register immediate income from the sale of chips while the cost of the investment is amortized over time. NVIDIA also manages to maintain its dominant position, while AMD and Broadcom manage to expand in this market. If there are also actions involved, all of them are revalued and participating in each other is another element of interest in these financial operations. They reinforce and grow larger among themselves, and while they weaken all the others. A gigantic house of cards. But compared to that strategy, reality. And the reality is that this circular flow of capital is creating artificial demand in which the supplier pays itself. The systemic risk is enormous: if OpenAI fails or AI growth slows, the domino effect can significantly affect these vendors and their investors. We are facing a huge (and fragile) house of cards that, if it collapses, will have equally enormous consequences. The AI ​​bubbleif it really exists, continues to grow and grow. Total uncertainty. There is also absolute uncertainty about the promise of AI: will we really use it as much as these companies think we will? Will OpenAI be able to deliver on its promise and turn a profit in 2030? It is impossible to know. Finally, another problem: these circular agreements make these companies larger, but they make the entry of new competitors in both markets increasingly complicated. There are winners, but also losers. While all this is happening and the shares of these companies are skyrocketing, the reality is that there are also losers. The retail investor is blind to these events—and suspicions about cases of insider trading They are inevitable. And of course when talking about competition we are not talking about new competitors, but also current ones. Anthropic or Perplexity, with already established businesses, now finds it more difficult to compete. Google, Microsoft or Meta have plenty of infrastructure and economic resources, but they are still seeing how OpenAI is getting bigger and bigger without being able to prevent it. If successful, OpenAI may end up being above all of them, because it seeks the same thing that every company seeks even if it does not admit it: become a monopoly. Image | Xataka with Freepik – Gemini In Xataka | You thought you had an amazing connection on Tinder, but you were actually chatting with ChatGPT

“Circular financing” between Nvidia and Openai can be the genius of the century … or collapse

Nvidia has announced A “strategic investment” of up to 100,000 million dollars in Openai. But it is an investment with trap: Openai will use that money to buy Nvidia chips. The semiconductor manufacturer thus becomes the financier of its own most important client. Why is it important. This maneuver dangerously reminds the “circular financing” schemes that characterized the end of the 2000 Puntocom bubble. Companies like Lucent, Nortel and Cisco financed operators as Global Crossing to buy them equipment. We are not the first to see this simile At this stage of AI. When the bubble exploded, both suppliers and customers sank into a spiral of debts and overcapacity. The agreement will allow OpenAI to build data centers with a joint capacity of 10 gigawatts, equivalent to about 10 nuclear reactors. Jensen Huang, CEO of Nvidia, has acknowledged that this represents between 4 and 5 million GPUS: “double those we distributed last year.” Brutal scale In figures. The numbers are astronomical. According to Huang himself in August, creating a 1 Gigavatio data center costs between 50,000 and 60,000 million dollars, of which about 35,000 million are destined for Nvidia chips. With that logic, the 10 projected gigawatts would cost more than 500,000 million dollars. The bags have reacted with euphoria: Nvidia shares rose almost 4%, adding 170,000 million dollars to their stock market capitalization. Jensen Huang Broza’s company is already 4.5 billion dollars of valuation. Yes, but. Parallelism with the ‘Puntocom’ bubble is disturbing. These same schemes of ‘Financing vendor‘We already saw them in the final stage of the 2000 technological bubble. They did not end well for any of the parties. The difference is that current numbers are much larger, even adjusting for inflation. The key is whether the productivity profits of the generative AI will compensate for the spent money. Between bambalins. The agreement explains the current situation in the AI ​​ecosystem: OpenAi desperately needs computing capacity to maintain its competitive advantage over the 700 million weekly users of their products. But infrastructure costs are so high that it needs constant external financing. Nvidia, on the other hand, seeks to ensure the future demand of its most advanced chips. The agreement guarantees mass orders while consolidating its dominant position against competitors such as AMD and Intel. “It is a closed cycle: Nvidia gives OpenAi money, and OpenAi uses it to buy Nvidia products,” Summary Summary Javier Pastor. The threat. Anti -Ponopoopoly experts are already arched eyebrows. Andre Barlow, a lawyer specialized in competition, explained to Reuters that “the agreement could change the economic incentives of NVIDIA and OpenAI, potentially blocking the Nvidia chips monopoly with OpenAi software leadership.” The structure creates extra barriers so that competitors such as AMD in OpenAi chips or rivals in AI models can climb their operations. They paint basts. In perspective. The story is full of similar schemes that ended badly. Global Crossing, the telecommunications operator that broke in 2002it was funded precisely by the same suppliers that sold equipment. When it was discovered that the real demand was much lower than the projected, both Global Crossing and its financiers lost thousands. The key question is whether the demand for AI services will be sufficient to justify this billionaire investment, or if we are faced with the recreation of the same speculative pattern with even more exorbitant figures. As Stacy Rasgon concludesBernstein analyst: “On the one hand, Openai helps meet very ambitious infrastructure objectives. On the other hand, it will further feed concerns about ‘circular’ financing.” Outstanding image | In Xataka | Openai estimates that it will enter 200,000 million dollars in 2030. The figure, like everything in OpenAi, is extremely ambitious

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