According to BBC reporting, Oracle made “significant” job cuts this week as the company doubles down on artificial intelligence investments. Around 10,000 employees appear to have been affected, based on staff observations of declining activity on the company’s internal messaging system. The layoffs hit senior engineers, architects, operations leaders, and technical specialists, according to posts from employees on LinkedIn.
What’s notable is that Oracle’s leadership has been explicit about why fewer people can handle more work: AI tools. Mike Silicia, Oracle’s co-chief executive, said earlier this month that “the use of AI coding tools inside Oracle is enabling smaller engineering teams to deliver more complete solutions to our customers more quickly.” The company even used AI to build its new website and has generated new sales leads through the technology.
This is the rationalization we’re hearing across Technology. Mark Zuckerberg at Meta and Jack Dorsey at Block have made nearly identical arguments while cutting their own workforces. The narrative is consistent: AI makes people redundant.
The Money Behind the Cuts
But Oracle isn’t just cutting costs to look lean. The company is spending aggressively on AI infrastructure, planning to invest at least $50 billion this year alone. It’s also raised $50 billion in debt to fund even more capacity. Clayton Magouyrk, Oracle’s co-chief executive, acknowledged the tension when he said: “Investing in AI infrastructure is capital-intensive, but our operating model is optimized to ensure profitability. It’s unprecedented to scale a capital-intensive business so quickly.”
This is where the real story lives. Oracle needs fewer engineers to build software because AI can help do that work. But Oracle also needs massive data centers to power those AI tools for paying customers. So the business model shifts: invest heavily in infrastructure, slash the headcount that builds internal products, and sell access to the infrastructure itself.
Oracle is part of Stargate, a $500 billion partnership with OpenAI, SoftBank, and MGX (an investment fund backed by Donald Trump) to build out US data center capacity. The project frames this infrastructure buildout as necessary for future AI processing demands.
A Pattern Worth Questioning
What’s striking is the scale of this shift. Tech companies have been conducting mass layoffs for years, but those earlier rounds weren’t blamed on AI. The technology was there to justify efficiency gains, yet companies kept hiring. Now they’re tying job cuts directly to AI capabilities, and the market seems to accept it without much friction.
One Oracle employee, Michael Shepherd, noted that the cuts were “not performance based” and that affected workers weren’t let go for anything they “did or didn’t do.” That’s almost brutally honest. These people didn’t fail. The company just decided it no longer needs them.
Former employee Kendall Levin said on LinkedIn she remains “a genuine believer” in where Oracle is headed, despite losing her job. Several others described receiving early morning emails informing them they were no longer employed, with one month of severance as compensation.
The uncomfortable question isn’t whether AI can help companies do more with less. It clearly can. The question is whether this efficiency is being captured by shareholders and executives or whether workers will see any benefit from the productivity gains. Based on what we’re seeing, the answer seems pretty clear.
