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Investors and founders are both trying to produce sense of AI valuation multiples, when they’re justified, when they’re hype, and how to tell the difference. This article breaks down the core drivers behind AI valuations: market momentum, investor strategy, defensibility (data, models, infra), and the fundamental methods used to price these companies.
Anthropic has launched Claude Cowork, a general-purpose AI agent that can manipulate, read, and analyze files on a user’s computer, as well as create new files. The tool is currently available as a “research preview” only to Max subscribers on $100 or $200 per month plans.
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Nvidia has cemented itself at the heart of the AI boom with a monopoly on the most powerful chips to train and run models, but a growing crop of startups are set on challenging the company's supremacy.
Anthropic reportedly built Cowork in approximately a week and a half, largely using Claude Code itself, according to the head of Claude Code, Boris Cherny.
You’ll see how those numbers translate directly into negotiating leverage and dilution at the table: what’s “market,” what’s off-market, and how to push for an AI premium without backing yourself into a down round later.
The tool, which the company describes as “Claude Code for the rest of your work,” leverages the abilities of Anthropic’s popular Claude Code software development assistant but is designed for non-technical users as opposed to programmers. Various have pointed out that Claude Code is already more of a general-employ agent than a developer-specific tool. It is capable of spinning up apps that perform functions for users across other software. But non-developers have been put off by Claude Code’s name and furthermore the fact that Claude Code needs to be used with a coding-specific interface. Some of the employ cases Anthropic showcased for Claude Cowork include reorganizing downloads, turning receipt screenshots into expense spreadsheets, and producing first drafts from notes across a user’s desktop. Anthropic has described the tool, which can work autonomously, as “less like a back-and-forth and more like leaving messages for a coworker.”
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And increasingly, investors are throwing huge sums behind them. In 2026, AI chip startups raised $8.3 billion in funding, globally, according to Dealroom. Barring a near total collapse of the market, the sector is expected to see record sums pumped into it this year.
