"One of my growing concerns about artificial intelligence is that it increasingly abstracts away the need for mentorship inside organizations. When young people get hired today, it's becoming easier for managers to spend less time teaching and more time just handing over tools. In the short run, that can look like efficiency. But I do worry about what gets lost over the long run - especially for people just starting their careers."
"That's part of what made this wide-ranging conversation between author and interviewer William Green and Nima Shayegh so enjoyable. I was especially struck by Nima's reflections on his years of training under Lou Simpson - one of the most respected long-term investors of the past half-century. Like all great mentors, Simpson taught through osmosis: long conversations, careful questions, shared reading, and repetition over many years."
Artificial intelligence is increasingly abstracting away the need for mentorship inside organizations, enabling managers to hand over tools rather than invest time in teaching. That approach can deliver short-term efficiency but risks eroding long-term development, particularly for early-career professionals. Long-term mastery emerges through prolonged, shared practices: patient conversations, careful questioning, shared reading, repetition, and the quiet presence of experienced mentors. Lou Simpson's mentorship style exemplified this apprenticeship model—calm environments, gradual immersion, and learning by osmosis. Even with superior tools, durable skill and judgment require someone to walk alongside learners over extended periods.
Read at Big Think
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