I found this article, unfortunately it’s very long so I’ve posted a summary here with a link to the article.
The gist of the article is that AI is overhyped, expensive, and not profitable.

Also, the one company making money from this is only profitable because the four other top companies in the AI space are buying from them, but they’re not making money.

That’s not a great long-term business plan.

Anyway, the summary:-

The article argues that the generative AI industry is in a financial bubble, driven by hype and unsustainable spending.

Ed Zitron’s “Hater’s Guide To The AI Bubble” claims the current generative AI boom is a fragile, overhyped bubble propped up by massive investments from tech giants like Microsoft, Amazon, Google, Meta, and Tesla—primarily to buy NVIDIA GPUs. Despite hundreds of billions in capital expenditures, these companies see little real revenue or profit from AI, with only NVIDIA reliably making money. Zitron contends that generative AI products, especially large language models, are expensive to run, lack unique business models, and fail to deliver meaningful productivity gains or replace human labor as promised. Most AI startups are deeply unprofitable, and even the most successful ones, like Cursor, rely on unsustainable pricing and face rising costs from model providers like OpenAI and Anthropic, who themselves lose billions annually. The article criticizes misleading industry terms like “agents” and “AGI,” arguing that media and executives exaggerate AI’s capabilities. Ultimately, Zitron warns that the AI trade is brittle, with the US stock market’s stability tied to continued GPU purchases. If sentiment shifts or spending slows, the bubble could burst, causing widespread financial fallout. He calls for skepticism, accountability, and a return to genuine innovation over hype.

https://archive.is/pRHig.

The bottom line for those of us who do use AI is that we cannot rely on it long-term.

Use it, make money, be prepared to pivot.

Regards,
Brent.