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Analysts estimate that 70%+ of Microsoft, Google and Amazon's present and future AI revenues are from Anthropic and OpenAI's compute spend and model sales. Outside of two unsustainable AI labs, demand barely exists, and they've massively overbuilt capacity. www.wheresyoured.at/the-ai-deman...

Last week saw Amazon, Google, and Microsoft congratulated for strong quarterly numbers — with outlets patting them on the back for how their AI bets were “paying off,” despite none of them disclosing their actual AI revenues. www.wheresyoured.at/the-ai-demand-bubble/

Hyperscalers have conned investors by not disclosing their AI revenue concentration, all to hide that revenue growth is increasingly coming from Anthropic and OpenAI, and that their infrastructure was near-entirely built to support two unprofitable AI labs. www.wheresyoured.at/the-ai-demand-bubble/

According to analyst letters from UBS, Wells Fargo and Barclays, Anthropic and OpenAI make up 70% or more of Google, Microsoft and Amazon's AI revenues, which means that outside of these AI labs, there isn't demand for compute or AI software at scale. www.wheresyoured.at/the-ai-demand-bubble/

Hyperscalers have sold the media and investors on the idea that $990bn in capex would create diverse AI demand. Instead they've destroyed their free cash flow to prop up unsustainable AI labs who can only pay when hyperscalers hand them the money to do so. www.wheresyoured.at/the-ai-demand-bubble/

These analyst estimates also show that there’s very little demand for the AI products of the hyperscalers themselves - barely $10bn in FY2027 for Microsoft 365 Copilot, per Wells Fargo - giving them no hope of recouping their investment. www.wheresyoured.at/the-ai-demand-bubble/

So, I'm trying to figure out if 5-10% of the population of the US should be small for this consideration. It feels a little small, though. (And the math would come out at around $10/month, which seems cheaper than some of the others, but I'm not sure if that's a surprising price.)

Anthropic and OpenAI are ticking time bombs and existential parts of the growth of major hyperscalers. And to make matters worse, to hit these estimates, both AI labs must spend upwards of $150bn a year in 2027 onward for hyperscalers to keep growing. www.wheresyoured.at/the-ai-demand-bubble/

The fact that the only demand for AI compute stems from OpenAI and Anthropic means that these companies cannot fail AND must grow to ridiculous heights. When they fail, hyperscalers will have to revise guidance, slash RPOs, and admit capex was wasted. www.wheresyoured.at/the-ai-demand-bubble/