Anthropic's revenue growth is the kind of number that makes even seasoned investors pause. The company reached a $47 billion annualized revenue run rate by May 2026, up from $9 billion in 2025 — a roughly 5x increase in under two years. For context, that's faster than the early trajectories of the cloud and mobile waves that defined the previous two decades of tech.

Matt Murphy, general partner at Menlo Ventures, has had an unusually close view of this. Menlo led Anthropic's $500 million Series D, and Murphy has watched the company grow from essentially pre-revenue to one of the fastest-scaling businesses he's encountered in a 25-year investing career that spans the internet boom, the rise of mobile, and the first cloud cycle.

"I've never seen growth like this — not in the internet wave, not in mobile, not in the first cloud boom."

It's Not the Model — So What Is It?

The obvious assumption is that Anthropic wins on model quality. Claude is widely regarded as one of the top frontier models, competitive with GPT-4o and Gemini on most benchmarks. But Murphy's argument is that model performance alone doesn't explain the commercial traction.

What Menlo believes is driving enterprise adoption comes down to a few less-discussed factors:

  • Trust and safety positioning — Anthropic's founding narrative around AI safety isn't just PR; enterprise buyers, particularly in regulated industries, are treating it as a meaningful differentiator when procurement teams vet AI vendors.
  • API reliability and developer experience — Claude's API has earned a reputation for consistency, which matters enormously when companies are building production-grade applications rather than prototypes.
  • Enterprise go-to-market execution — Anthropic has invested heavily in the sales and solutions infrastructure needed to close large contracts, not just ship a great API.

The Competitive Landscape

Anthropics's trajectory puts pressure on the broader narrative around OpenAI's dominance. OpenAI still holds the largest share of mindshare and likely revenue in the frontier model space, but Anthropic has carved out a credible second position — and in some enterprise segments, a preferred one.

Google (via Gemini) and Meta (via Llama's open-source push) are the other major forces. Google has distribution advantages through Workspace and GCP; Meta is betting that open weights drive ecosystem lock-in over time. Anthropic's bet is that a focused, safety-forward, enterprise-ready closed model is a sustainable wedge — and the revenue numbers suggest it's working.

What This Means for Founders and Operators

For startup founders building on top of AI infrastructure, Murphy's read on Anthropic carries practical implications:

  • Model choice is increasingly a trust and reliability decision, not just a benchmark decision. If your customers are enterprise buyers, their procurement and legal teams are scrutinizing your AI vendors.
  • The "best model" narrative is commoditizing fast. The companies winning at the infrastructure layer are winning on go-to-market, developer experience, and brand trust — things founders building AI-native products should internalize for their own positioning.
  • Valuation multiples at the frontier are still expanding. A $47B run rate company with this growth velocity will command a multiple that would look absurd in any previous tech cycle. Founders raising right now should understand that the comps are shifting rapidly.

The broader signal from Murphy's perspective is that we're still early in a platform shift that may be larger than anything the venture industry has priced in — and that the winners won't be decided purely by who has the smartest model.