Anthropic's Chief Financial Officer, Krishna Rao, has disclosed that artificial intelligence is already responsible for the vast majority of coding work within the company. This significant internal adoption of AI, particularly their Claude Code assistant, signals a rapid evolution in white-collar jobs, shifting from execution-heavy tasks to roles focused on AI supervision and strategic decision-making.
Claude's Role in Coding and Finance
Speaking on the "Invest Like the Best" podcast, Rao stated that more than 90% of Anthropic's software code is currently written by Claude Code. He described a workplace where AI systems handle extensive parts of software engineering, financial reporting, and operational workflows, allowing human employees to concentrate on oversight, judgment, and strategic planning.
The finance department at Anthropic has also widely integrated Claude. According to Rao, AI systems now generate financial statements, and the monthly review process is 90% to 95% complete before human intervention. Tasks that previously took hours can now be finished in approximately 30 minutes, freeing employees from manual data gathering to focus on interpreting and acting upon AI-generated insights. Rao commented that this shift effectively makes "everyone kind of a manager," highlighting the immense, albeit early, potential for productivity gains.
The Strategic Importance of Compute Resources
Rao emphasized that central computing infrastructure is the "lifeblood" of Anthropic's operations. He revealed that the company has committed over $100 billion to large-scale infrastructure deals, including agreements with Google for TPU deployments starting in 2027 and with Amazon for Trainium chips. Rao personally dedicates 30% to 40% of his time to compute-related decisions, underscoring its critical strategic priority for frontier AI model companies.
Anthropic's Future and AI's Broader Impact
As one of the world’s leading AI startups and the developer of the Claude family of models, Anthropic is reportedly preparing for a potential public listing, with an estimated valuation of around $90 billion. While optimistic about AI's long-term benefits in sectors like healthcare and productivity, Rao also issued a caution. He advised against ignoring the potential risks associated with rapid technological change, acknowledging that there are likely to be "bumps on the road" rather than a universally smooth transition.