Article URL: http://observationalepidemiology.blogspot.com/2026/07/its-not-fear-of-ai-communism-its-fear.html Comments URL: https://news.ycombinator.com/item?id=49169227 Points: 11…

Comments, observations and thoughts from two bloggers on applied statistics, higher education and epidemiology. Joseph is an associate professor. Mark is a professional statistician and former math teacher. Apologies to regular readers who have been through all this before, but there's some essential context that needs to be kept top of mind for this story. We have already spent somewhere in the neighborhood of two trillion dollars on capital expenditures associated with the AI bubble. Major players are now a trillion plus dollars in debt. This is only on track to accelerate over the next few years. Capital expenditures are projected to total more than five trillion dollars by the end of 2030. God only knows what the borrowing would look like. The justification for all of this money assumes not only that the demand for large language model-based AI will be in excess of pretty much any technology to date, but also that at least some of the major players currently spending that money will achieve extraordinary profits with very high margins. That second condition is exceedingly difficult to achieve with a highly competitive market and is even more difficult if that market were to be dominated by new players. In a world where open-weight models dominate, the proprietary frontier models of Anthropic and OpenAI will find it virtually impossible to charge monopolistic pricing. Anthropic does have something of a reputational moat, particularly with respect to coding, but OpenAI would find itself in truly desperate straits, and as discussed before, in the highly interconnected and circularly financed world of AI, the company would probably drag others down with it. Oracle would be completely screwed. SoftBank might be as well. Other companies like Nvidia would probably survive but would likely see a major hit to revenue. It is not difficult to imagine all sorts of catastrophic failure scenarios. Keep in mind, the growing consensus in the financial world is that we are looking at an enormous market bubble waiting to pop. Combine that with the precarious state of the private credit market, what may be a multinational debt crisis, and a United States presidential administration that almost certainly will not be able to deal quickly and competently with a massive financial crisis. If I really wanted to pile it on, I would say something about Ed Zitron's analysis noting similarities between the trillions of dollars of financing of data centers and the 2008 real estate bubble, but I'd hate to be that depressing. A Chinese open-weight AI model called Kimi K3, developed by Beijing-based firm Moonshot AI, has sent a shiver down the spines of AI tech executives. The powerful, 2.8 trillion-parameter model impressed with its competence, igniting a war with far more expensive alternatives being offered by the likes of OpenAI and Anthropic. Top executives at both companies are sounding alarm, the Wall Street Journal reports, watching as Chinese open-weight models are rapidly catching up to their most powerful proprietary models. As a result, they’re begging the Trump administration to step in and protect them from the influx of cheaper alternatives, which could undermine their increasingly desperate attempts to attract new customers.