For years, white-collar jobs have been about execution, up until the emergence of Artificial Intelligence, which is now changing how we work. On a recent episode of the Invest Like the Best podcast, Anthropic’s Chief Financial Officer, Krishna Rao, explained that AI now powers a significant portion of internal workflows at the company, including most of its coding work.
“90 plus percent of our code is actually written by Claude Code,” Rao said, referring to Anthropic’s AI coding assistant. “A lot of Claude Code's code is written by Claude Code.”
According to Rao, Anthropic’s finance operations are increasingly relying on Claude as well, particularly for generating financial statements and preparing monthly reviews. In many cases, he said, the work is already “90 to 95% ready” before employees step in for review and interpretation.
“What used to take hours to produce now comes down to 30 minutes,” he added.
But beneath the discussion around AI-generated code is a larger change that is reshaping how many white-collar jobs operate. Instead of carrying out every task manually, workers are supervising AI systems that generate the work first. Rao described teams using “fleets of agents” across projects simultaneously, while employees focus more on reviewing outputs, making decisions, and steering the direction of the work.
“Everyone kind of becomes a manager,” he noted, describing how AI could transform office jobs over the next few years.
While coding often dominates conversations around AI, Rao’s comments suggest the same pattern is already reaching finance and other knowledge-based roles where repetitive digital tasks can be automated. In many workplaces, AI may become the first layer of execution, while humans handle judgment, oversight, and accountability.
For younger professionals, that could change how careers develop, as many entry-level office jobs revolve around repetitive tasks that help employees build experience over time. If AI absorbs that foundational layer of work, employees will operate more like supervisors much earlier than before.
Even so, Krishna Rao argued that AI should not automatically be seen as a replacement for employees. Instead, he described it as a tool that amplifies strong talent, saying “talent with the best models can really accelerate the development of the capabilities,” adding that Anthropic is already seeing that play out internally.
“We’ve hired a lot more people because of that,” he further expressed, describing AI as a productivity “accelerant” rather than a direct substitute for workers.
As he puts it, the gains in efficiency allow teams to accomplish more work faster, potentially creating room for companies to expand rather than shrink. Still, his comments arrive at a time when businesses across industries are actively debating whether AI will ultimately boost hiring or reduce the need for certain white-collar roles altogether. As of May 2026, over 100,000 employees have been laid off in the tech sector, according to Layoffs.fyi.
What seems increasingly clear, however, is that the nature of office work itself is beginning to change as the future white-collar worker may spend less time executing tasks manually and more time managing systems that can complete those tasks in minutes.
And if companies like Anthropic are already operating that way internally, the rest of the workplace may not be far behind.
