Despite earlier high-profile predictions that AI would obsolete radiologists, U.S. labor-market demand appears to be rising alongside shortages, with radiology salaries reported up to $571,000 and active job postings still elevated. The article revisits Geoffrey Hinton’s 2016 claim that AI would outperform radiologists and questions why displacement has not materialized on the scale once predicted. Research quoted from Christoph Herpfer, an economist and business administration professor at the University of Virginia’s Darden School, links the labor pattern to a persistent shortage rather than displacement. The piece also cites Medscape for the reported salary level and RadBoard.io for a count of radiology postings that include many jobs open for more than 60 days. The account underscores a shift from “AI replaces clinicians” narratives toward AI-assisted workflows, with Hinton later clarifying he was focused on image analysis rather than the full radiology workflow. It also points to the broader health-services backdrop, including aging demographics and insurance coverage expansions tied to higher demand for care. For medical schools and allied health programs, the takeaway is clear: AI adoption is coinciding with clinician demand rather than eliminating it—at least in the current staffing reality.