A Decade After Hinton Declared Radiologists Obsolete, Their Salaries Hit $571K and Demand Is Growing

Fortune reports that ten years after Geoffrey Hinton's famous 2016 claim that AI would replace radiologists within five years, the specialty has seen salaries climb to as high as $571K and demand is accelerating rather than contracting. The piece is a substantive case study in how domain-expert roles evolve alongside AI rather than being eliminated by it—radiologists have absorbed AI tools into their workflow, increasing throughput and diagnostic precision while remaining the accountable decision-maker. For developers building AI for high-stakes domains, this is an important calibration: augmentation architectures that keep humans in the loop have proven more durable and deployable than replacement architectures. The radiologist case also illustrates how AI tools can expand a profession's economic value by enabling the same specialist to handle more cases at higher accuracy. This should inform product and API design decisions for anyone building AI in medicine, law, finance, or other expert domains.