AI Experts Warn Future Doctors and Lawyers About Job Risks
Artificial intelligence is advancing rapidly and reshaping many fields. One of the early pioneers at Google’s AI division has some blunt advice for those considering careers in law or medicine. Jad Tarifi, who led Google’s first generative AI team before founding his own startup, Integral AI, warns that AI might soon make advanced degrees in these areas less valuable.
In an interview with Business Insider, Tarifi explained that AI’s quick progress could render years of study pointless. He believes that many people pursue law or medical degrees because they’re worried about losing jobs to automation. But he suggests that unless someone is deeply obsessed with their field, earning a PhD or similar qualification might not be worth it.
Why Getting a Medical or Law Degree Might Not Pay Off
Tarifi points out that the medical knowledge taught today is already outdated and relies heavily on memorization. He argues that the skills learned in medical school might not be relevant anymore by the time someone finishes their training. He even joked that his own PhD in AI doesn’t give him insight into how the latest microprocessors work, highlighting how fast technology evolves.
He warns prospective students that investing years and hundreds of thousands of dollars into these degrees could be a mistake if AI continues to improve. Tarifi predicts that many problems AI aims to solve—like applying AI to robotics—will be solved by the time someone completes a PhD. He suggests focusing on niche areas, such as AI for biology, which are still in early stages.
Should We Still Pursue Advanced Tech Degrees?
While some might see AI as a job security boost, Tarifi disagrees. He advises caution for those thinking about studying AI at a high level. Instead, he recommends working on more personal growth, like meditation, socializing, and understanding oneself emotionally. He believes these human qualities are more valuable and less likely to be replaced by machines.
Tarifi’s perspective is interesting when compared to others, like OpenAI CEO Sam Altman, who claims AI has already reached “PhD-level” intelligence. Tarifi sees these claims as exaggerated. He argues that current AI technology isn’t reliable enough for many professional tasks, especially in law and medicine, where mistakes can be costly.
He emphasizes that AI still struggles with complex reasoning, empathy, and nuanced judgment—things that are crucial in healthcare and legal work. Yet, he acknowledges that if AI keeps advancing rapidly, the need for human professionals in these fields could diminish. This raises concerns about a looming doctor shortage if AI stalls or develops more slowly, leaving many patients without adequate care.
In the end, Tarifi’s warnings suggest that people should think carefully about their educational choices. While AI might threaten traditional careers, it also opens new opportunities—if we focus on areas where human skills are still irreplaceable. The key might be balancing tech innovation with personal development and understanding the limits of current AI technology.















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