Anthropic CFO Krishna Rao says AI now writes 90% of the company’s code — and it’s changing what white-collar workers do all day.
Rao, on an episode of Patrick O’Shaughnessy’s “Invest Like the Best” podcast published Wednesday, described a workplace inside Anthropic where AI systems increasingly handle the execution layer of knowledge work — from software engineering to financial reporting — while humans shift toward oversight, judgment, and strategy.
“We’ve hired a lot more people because of that,” Rao said, adding that he sees Claude as a productivity “accelerant.”
“That actually means that we can get a lot more done, and that even as we grow the team, those people are more productive as they come up the curve on how to use Claude within our company. And I think that’s starting to be true across many companies as well. “
The comments offer a glimpse into how one of Silicon Valley’s leading AI companies believes artificial intelligence will reshape white-collar jobs: not necessarily by eliminating workers outright, but by automating large portions of their day-to-day tasks and turning employees into supervisors of AI systems.
The shift is already happening inside Anthropic itself, Rao said.
“90 plus percent of our code is actually written by Claude Code,” he said, referring to Anthropic’s AI coding product.
The company’s finance team is undergoing a similar transformation, Rao said. Anthropic now uses Claude to produce financial statements, while its monthly financial review process is “90 to 95% ready” before humans step in to review and interpret the results.
“What used to take hours to produce,” Rao said of some internal reports, “now comes down to 30 minutes.”
Rao argued that the productivity gains have allowed Anthropic employees to spend less time gathering information and more time making decisions about it.
“I think of it as, you know, accentuating and accelerating the talent that we already have,” Rao said. “We talk a lot about how talent density beats talent mass, and I think that’s true here — like, we want the densest collection of AI research talent, and inference engineering talent. And that, enabled with the best models, we think is a really winning combination.”
AI’s effect on the workforce
Details about how Anthropic’s staff use AI come as companies across industries race to integrate the technology in the workplace. Some firms have pushed employees to adopt AI as automation capabilities improve, while others have cut jobs, citing new AI-driven efficiencies.
The shift has fueled a growing debate among economists and executives over whether AI will ultimately replace white-collar workers or make them more productive. Some warn automation could eliminate jobs faster than new ones can be created, while others argue productivity gains could ultimately increase labor demand.
As employees become more productive with AI assistance, Rao said, companies may actually expand hiring because “there’s no shortage of work to do.”
Still, Rao’s description of the workplace inside Anthropic suggests the nature of white-collar work is already changing rapidly. He said employees increasingly oversee AI systems rather than completing tasks manually, while teams deploy “fleets of agents” that work across projects simultaneously.
“Everyone kind of becomes a manager,” Rao said. “The implications of that and the productivity gain that can come from that — we’re very, very early in that, but the potential for it is incredible.”
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