Oracle Staff Claim They Were Compelled to Train AI That Later Replaced Them
Former Oracle employees allege they were compelled to train AI models that later took over their jobs, describing the experience as humiliating and counterproductive.

*TL;DR: Former Oracle workers allege they were made to train AI models that later replaced them, saying the process left them feeling used and slowed project delivery.
Context Oracle announced that its code is now generated by artificial‑intelligence models rather than human programmers. The claim, made by Chairman Larry Ellison at a recent developer conference, reflects the company’s push to invest billions in AI‑focused data centers.
Key Facts Employees were instructed to describe their daily tasks so the AI could learn to automate them. One laid‑off worker said the pressure to meet deadlines forced them to “train the AI to replace us, but AI is the only way to handle our workload.” Another former staff member added that the practice made them feel “used and humiliated,” noting that their recorded work was later used to build the system that eliminated their positions.
Ellison has publicly stated that Oracle’s programmers no longer write code; instead, the company’s AI models produce it. This shift, he argues, will make firms that build AI infrastructure the dominant economic players.
Former employees also reported that the AI tools they were required to use generated large volumes of buggy code. Junior engineers produced the initial output, leaving senior engineers to spend significant time correcting errors, which further delayed project timelines.
What It Means If the allegations are accurate, Oracle’s AI rollout may be creating a feedback loop where human labor trains systems that then diminish the need for that labor, potentially accelerating workforce reductions. The reported slowdown in delivery and increase in error correction could also signal that the technology is not yet mature enough to replace experienced developers without oversight.
Watch for how Oracle’s next earnings report addresses productivity metrics and whether the company adjusts its AI deployment strategy in response to employee backlash.
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