AI Eliminates 90,000 US Jobs While Blocking Entry-Level Candidates From New Ones

A June 2025 Nikkei Asia report found that top US university tech graduates collectively sent out 8,000 resumes with almost no responses, while TechCrunch data showed over 90,000 US positions had been explicitly eliminated due to AI before May 2026. An MIT NANDA report found that 95% of enterprise AI deployments show no profit impact, but the 5% that do generate returns almost exclusively use AI to replace repetitive entry-level tasks such as data processing, code review, and content editing, with savings reflected directly in headcount cuts. The roles most affected include junior technical documentation, customer support, content editing, and entry-level analyst positions in finance and market research. A particularly stark dynamic has emerged where AI tools are being used to screen resumes and conduct first-round interviews, effectively rejecting candidates for roles that AI itself has already made redundant. However, demand remains strong for workers who can design AI evaluation frameworks, manage multi-agent systems, and perform tasks requiring complex human judgment that current AI agents cannot reliably handle alone.