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A.I. Is Changing What “High Potential” Looks Like

A.I. is making it easier to demonstrate technical proficiency and execute defined tasks. As execution becomes cheaper, startups are placing greater value on judgment, curiosity, initiative and the ability to identify what should be built in the first place.

The startup hiring process is changing faster than the systems we use to prepare people for work. It’s becoming clear in interviews. Candidates for nontechnical roles are increasingly asked to build something: a small tool, a new workflow or an analysis using A.I. Companies want to see whether someone can take an ambiguous problem and turn it into a working solution.

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The shift is just as pronounced on the technical side. If A.I. can write much of the code, understanding how that code fits together—architecture, security, technical hygiene and system design—becomes more important. More technical interviews resemble interviews for engineering managers because the job is becoming less about writing every line of code and more about directing, evaluating and improving the work of coding agents.

These changes point to a larger shift in how startups define talent. A.I. is making it easier to demonstrate technical proficiency and produce work that once required years of specialized training. As........

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