
AI may make doctors more important than nurses. It's about time
Demis Hassabis, Nobel laureate and CEO and co-founder of Google DeepMind, said that while AI and robotics may be able to replace doctors, especially in diagnosis, it will likely be unable to replace nurses. His statement flags a broader possibility: Professions based on knowledge and abstract skills could become increasingly obsolete, and tangible, emotional labour more valuable. AI will not be refilling the gas on the AC compressor any time soon. It will not comfort an ageing relative in a meaningful way, nor make sure that a child is loved when both parents are at work. In essence, the jobs that are often seen as less skilled today could well become the most valuable.
Hierarchies of labour have been papered over in the name of what the market, guided by an ethereal, invisible hand, demands. Now, as the most lucrative professions of today – doctors, investment bankers, software engineers, lawyers — face an impending existential crisis, perhaps it's time to value others. Not just economically, but socially. Teachers, nurses, nannies — those who cook in homes and raise other people's children, those whose skills keep homes functioning — AI might create a new elite. It's about time.

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This evolution is expected to ruffle feathers in medical circles. Physicians have traditionally been wary of patients who come in with self-diagnoses sourced from internet searches. The introduction of AI in this equation intensifies the situation. Patients armed with AI-generated data may express skepticism toward their doctors' judgment, raising the stakes in the doctor-patient relationship. A doctor's perspective on the AI surge Adding nuance to this unfolding narrative is TikTok user @drpark524, a practicing physician who shared a candid reflection on the mounting pressures brought about by AI. He reveals that for the first time in his career, he feels the medical profession's future is under threat. His patients now arrive with highly granular, nuanced questions, inquiries that reflect detailed knowledge they have acquired from AI chatbots. Dr. Park recounted a striking example. 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