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In an exclusive interview with WIRED, Block’s cofounder and CEO says he axed 40 percent of his workforce so that he can rebuild the company “as an intelligence.”

When the bombs hit in Iran, I thought of Jack Dorsey. In 2009, he and I were both part of a contingent of technology people sent by the US State Department to Baghdad, in the wake of another questionable Middle East war. At that time Dorsey was not involved in Twitter’s day-to-day operations, and he was glumly following from afar as his cofounders embarked on a media tour to celebrate the success of the product that sprang from his vision. Our survey of a city ravaged by war—we wore flak jackets and helmets when venturing outside the protected Green Zone—was a distraction from his obvious pain of exile.

Dorsey more than recovered. Not long after our trip, he founded the fintech company Square (now called Block), and in 2015, he reclaimed leadership of Twitter. He ran both companies for several years, until 2021, when he stepped down as Twitter CEO and then sold the company to Elon Musk. Dorsey still leads Block, which made almost $3 billion in profit last quarter, has a $39 billion market cap, and employed 10,000 people—until last week.

That’s when Dorsey hit the news by discharging almost half of his workforce. His explanation was that recent advances in AI tools are forcing Block to remake itself as a slimmer, more nimble entity—and that other companies will follow suit.

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What triggered you to take such a drastic action?
Something really shifted in December in the sophistication of [AI] tools. Anthropic’s Opus 4.6 and OpenAI’s Codex 5.3 went from being really good at greenfield products to being really good at larger and larger code bases. It presented an option to dramatically change how any company is structured, and certainly ours. We have to rethink how companies run, how they're structured, how they're built. It has to be closer to building the company as an intelligence. Yeah, certainly with any company you could say that there's bloat—but that’s a function of inheriting a management structure and a hierarchy all the way back from the 1900s.

TLDR: answer remains being forward thinking about AI

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