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Outlasting Technological Inertia

Puck has an article from inside the HumanX conference, what the article calls “the quintessential A.I. conference for operators.” In that piece, Silicon Valley’s Anthropic Anxiety (gift link), Ian Krietzberg writes:

Silicon Valley is famous for proclaiming that things will never be the same, as PagerDuty C.E.O. Jennifer Tejada reminded me. Likewise, she said, the industry narrative surrounding A.I. is often oversimplified. She has large enterprise customers, for instance, that are still in the midst of a long-awaited transition to digital—only “20 percent of the way through their cloud transformations.” And with A.I., she said, “there’s still a big question” around what the high-value use cases are. Meanwhile, widespread A.I. tool adoption requires enterprises to both understand the risks and be able to mitigate them. “These kinds of transformations take a long time,” she said. “They move as fast as society can move, as fast as humans can move.”

I was chatting about a similar idea with a colleague at work today. Technical people often make predictions based on technical requirements, not on business constraints or human inertia. The question really, as Krietzberg outlines well in his piece, is can Anthropic and OpenAI outlast that inertia?