Roy Bahat: 'Learning' and 'doing' should no longer be separate

What if everything you've been told about AI and the future of work is wrong?  In this episode with Bloomberg Beta head Roy Bahat, we dive deep into why employment predictions fail, how AI is reshaping career paths, and why becoming "the CIO of your own life" might be the most valuable skill for navigating our technological future.  Roy has been investing in AI since 2014 and teaches at UC Berkeley's business school – and he is skeptical of conventional wisdom about how AI will impact jobs. Contrary to early predictions that focused on automation of low-wage positions, we're now seeing knowledge workers like software engineers, lawyers, and doctors experience significant disruption. As Roy says himself: "The big surprise with generative AI is everybody used to be worried about all the low-wage work being automated, and now I know a lot of software developers who are worried and lawyers who are worried."  Rather than seeking supposedly "safe" careers or skills, Roy advocates for adaptability and continuous learning. He introduces the concept of being "the CIO (Chief Information Officer) of your own life," or actively exploring and adopting tools rather than waiting for employers or institutions to dictate which technologies you should use. Roy's approach represents a fundamental shift from traditional "learn, then do" models as AI tools increasingly blur the boundaries between learning and application.  Whether you're a student planning your future, an educator rethinking your curriculum, or a professional adapting to technological change – our conversation with Roy will provide valuable frameworks for understanding how work, learning, and technology are evolving together. Learn more about Roy Bahat and Bloomberg Beta: BloombergBeta.com/linkedin.com/in/roybahat/aiEDU: The AI Education Project aiEDU.org linkedin.com/company/aiedu/

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