"The top performers are seasoned engineers who have adopted AI early and know how to leverage it effectively. "The most productive engineers I know, they're not fresh college grads," said Ng, who now leads several AI-focused ventures, including AI Fund. "They are people of 10, 20 years of experience or whatever, and really on top of AI," he added. These engineers "move faster than anything the world has seen even one or two years ago," Ng said."
"Just below them are fresh college graduates who learned AI tools through "the social network community," and Ng said he has hired a few of them. "We can't find enough of them," Ng said, referring to these college graduates who really know AI. "So many businesses love to hire those fresh college grads." Beneath thatgroup are experienced developers who had a "comfortable job" and are still "coding like it's 2022," before AI rewired how software is built. "I just don't hire people like that anymore," Ng said. "Those people may get into trouble at some point.""
A hierarchy of engineering talent has emerged based on AI adoption and skill. Top performers are seasoned engineers with a decade or more of experience who have embraced AI and dramatically increase productivity. The next tier includes fresh college graduates who learned AI tools through online and social networks and are highly sought after. Below them are experienced developers who continue coding as before and risk falling behind. At the bottom are new computer science graduates without AI training who face difficulty. University curricula are lagging and should teach core AI building blocks for software engineers.
Read at Business Insider
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