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In the age of AI, who trains up the next generation of founders?

As AI supplants some entry-level jobs in startups, the industry faces a new challenge: how to train the future founders and operators who once did that work.

Traditionally, junior roles in startups weren't just jobs — they were functionally apprenticeships, writes Elli Hanson. Shutterstock.

In 2025, one theme is becoming impossible to ignore: AI agents and AI-powered operators are quietly but fundamentally reshaping the early rungs of the startup talent ladder.

Tasks that once filled the days of junior analysts, coordinators, and early-career generalists — data entry, research synthesis, internal reporting — are now being done faster, cheaper and arguably better by intelligent systems. Capital-efficient startups are embracing this shift, filling junior and even some mid-level roles with AI instead of humans.

But this raises a pressing question for the ecosystem: If AI is performing the work that used to train human talent (by the very systems trained on human talent), how will the next generation of operators actually get trained?

Traditionally, junior roles were not just jobs. They were, functionally, apprenticeships. You built your skills through the repetition of lower-leverage work. You sat close to the action, absorbed context and slowly earned the right to think strategically. But if the entry-level “grind” is automated, what scaffolding remains for high-potential talent to rise?

Ideas is where we publish opinion and analysis from external contributors on the most important topics in the new economy.