AI Will Do Three-Quarters of Anthropic Employees' Work by 2030 — and the Capital Markets Are Betting on It
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Employees at Anthropic — the company behind the Claude large language model — were surveyed about their expectations for AI in their own workflows, and the median response was that artificial intelligence will handle 75 percent of their work by 2030. A comparable survey of American workers broadly put that figure at 28 percent. The gap reflects a stark information asymmetry: the people building the tools have a fundamentally different model of the near future than the people who will eventually use them.
The Anthropic figure is most meaningful when considered alongside the nature of the work involved. Anthropic employees perform research, coding, writing, analysis, and synthesis — precisely the cognitive tasks on which AI is currently advancing fastest. The 28 percent expectation among average American workers likely reflects a more grounded assessment of physical, relational, and domain-specific work not yet subject to meaningful automation. Both numbers, analysts note, can be accurate simultaneously for different categories of workers.
On the financing side, the Financial Times reported that Anthropic is offering Blackstone a 10 percent yield on chip-financing debt — significantly above investment-grade corporate rates, and a figure that reflects the risk profile of AI infrastructure secured by rapidly depreciating Nvidia GPU assets. The offer illustrates the gap between AI infrastructure's revenue-generating potential and the uncertainty around whether that revenue will materialize before the hardware cycle turns.
That uncertainty was on full display in the CoreWeave story. The Nvidia-backed AI cloud company lost roughly 25 percent of its market value this week as investors focused on its heavy debt load accumulated during a period of extremely bullish demand projections. Jensen Huang went on record saying the market turmoil 'is going to pass' — the kind of statement a major strategic partner makes to halt a sentiment spiral — but acknowledged the underlying concern: debt service math being tested against actual utilization rates. Huang's reassurance is a sentiment argument, not a balance sheet one, and the bond market, where the real pressure sits, does not trade on sentiment.
Disney's acquisition of 66 Character.AI employees out of that company's bankruptcy — at a reported cost of $60 million a year, roughly $909,000 per employee annually including a $30 million retention pool detailed in the bankruptcy filing — signals how scarce conversational AI expertise remains even in a market crowded with AI startups. Character.AI raised over $150 million and reached a roughly $1 billion valuation before bankruptcy, a trajectory that illustrates a pattern across first-generation AI consumer companies: extraordinary technical capability paired with difficult monetization. Disney's specific interest in character-consistent conversational AI points toward theme park and streaming applications built around its Marvel, Star Wars, and Pixar intellectual property.