Oracle cuts 21,000 jobs

Good morning! 21,000 people just lost their jobs. Let’s see why (hint: it’s AI-related). 👇

⭐️ Today’s Feature

This link leads to one of the most interesting things I’ve seen in AI recently.

What’s cookin’? Oracle is reportedly cutting about 21,000 jobs, or around 13% of its workforce, as it prepares for a massive AI infrastructure push. At the same time, the company is planning to raise up to $50 billion to build out the data centers and cloud systems needed to handle growing AI demand. Much of Oracle’s future growth is now tied to big AI contracts, including work connected to OpenAI. The idea is simple: Oracle wants to become a major backbone for AI companies that need huge amounts of computing power. But doing that requires enormous upfront spending, fewer operating costs elsewhere, and a lot of confidence that today’s AI demand will keep growing.

🤔 Hunter’s take: This is the AI boom in its clearest form: companies are cutting humans while spending billions to serve machines. Oracle may be making the right business move, but this also shows how brutal this transition can be. AI growth is not just “new tools.” It is reshaping entire companies around who gets funded, who gets replaced, and who controls the infrastructure everyone else depends on. However, there is some silver lining here. According to the Yale Budget Lab, while AI may be transforming industries, “Measures of AI usage show no connection to changes in employment or unemployment.” But I’m sure that doesn’t encourage the 21,000 who just got laid off.

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What’s cookin’? California drivers have filed a proposed class-action lawsuit accusing major gas station operators, including BP, Circle K, Marathon, 7-Eleven, Walmart, and Albertsons, of using AI to keep gas prices artificially high. The lawsuit says the companies used a pricing tool from Kalibrate that collects data from competing stations and helps operators adjust prices in ways that reduce real competition. Drivers claim this violates California’s antitrust law and a newer state law aimed at stopping algorithmic price-fixing. The complaint says prices rose by as much as 30 cents per gallon in areas where many stations used the tool.

🤔 Hunter’s take: This is the kind of AI story people should pay attention to because it is not about robots or chatbots. It is about everyday life getting more expensive in ways most people never see. If companies can use algorithms to quietly coordinate prices, “competition” starts to feel fake, and public trust erodes.

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👆 P.S. I know many of you think this should be 85-90%, but that’s just not the reality (yet). This meter is not based on potential (or fear), but on actual AI development and implementation.

Hi — I’m Hunter, a PhD candidate whose work has appeared in major academic journals and popular tech outlets. I founded FryAI to make staying ahead of AI clear, accessible, and fun.