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Ex-Google AI Leader Tells Students to Skip Long Degrees as New Research Underscores Limits

Elite labs continue to pay extraordinary sums for top researchers, sending a mixed signal to students.

Overview

  • Jad Tarifi, who founded Google’s first generative AI team, told Business Insider that multi‑year tracks like medicine, law, and Ph.D. programs risk being outdated before graduates finish, advising a “default to no” unless one is truly obsessed.
  • Tarifi argued for narrow specializations such as AI for biology and stressed soft skills like emotional attunement and good judgment over stacking technical credentials.
  • A JAMA Network Open study reported sharp accuracy drops for frontier models, including GPT‑4o and Claude 3.5 Sonnet, when medical exam questions were minimally reworded, reinforcing calls to confine clinical use to supportive roles with human oversight.
  • Coverage also highlights that top companies continue to recruit Ph.D.-level talent aggressively, with reports of nine‑figure compensation offers and high‑profile hires as firms build advanced research teams.
  • Other voices cited range from Mo Gawdat’s warnings about broad displacement to Demis Hassabis’s view that roles grounded in human connection are unlikely to be fully replaced soon.