Despite booming revenues and rapid growth fueled by the AI boom, tech giants like Meta, Google, and Broadcom are cutting jobs at a time when demand for AI is surging. The recent elimination of 600 roles in Meta’s Superintelligence Labs is not a sign of weakness but a strategic shift driven by the very success of artificial intelligence. According to Brad Gastwirth, global head of research and market intelligence at Circular Technology, these layoffs are not due to poor performance or declining demand. Instead, they reflect a fundamental transformation in how tech companies operate. AI is working so well that it’s automating tasks once handled by large teams of engineers, researchers, and support staff. At Meta, the cuts are part of a broader pivot from “AI research mode” to “AI productization mode.” The company once ran hundreds of parallel AI projects across areas like Llama models, infrastructure, content moderation, recommendation engines, and ad optimization. Now, as models are trained and deployed, many of the roles tied to data labeling, model tuning, and manual testing are no longer needed. Internal AI tools are automating workflows that previously required significant human labor. As Gastwirth explained, this shift is akin to an airplane reaching cruising altitude—once the critical phase of takeoff and ascent is complete, fewer crew members are needed to maintain flight. The heavy lifting of training and development is done. The focus now is on efficiency, inference speed, scaling systems, and generating revenue. This pattern isn’t unique to Meta. Google is streamlining management layers, and Broadcom is reducing staff as AI-driven automation improves chip design and engineering workflows. These companies are investing billions in AI infrastructure, but they’re simultaneously reducing the human workforce that once supported those systems. The core driver is not cost-cutting but optimization. AI is replacing repetitive, coordination-heavy tasks—what some call “middle-tier technical work.” It’s not that companies need fewer ideas or innovation; they simply need fewer people to execute them. In essence, the industrial revolution replaced human muscle with machines. Today’s AI revolution is replacing human repetition and coordination with intelligent systems. The result is leaner, faster, and more efficient operations—but also a painful transition for workers whose roles have been rendered obsolete by the tools they helped build.