Anthropic has reached a $47 billion revenue run rate as of May, up from $9 billion in 2025 — growth that Menlo Ventures managing partner Matt Murphy says he has never witnessed in 25 years of investing, not during the internet boom, not during mobile's rise, and not during the first cloud wave. Menlo led Anthropic's $500 million Series D, giving Murphy a front-row view as the company transformed from a pre-revenue, pre-launch bet into one of the most valuable startups operating today. Main Developments Murphy sat down with TechCrunch's Julie Bort on the Equity podcast to discuss what he believes is driving Anthropic's explosive growth. He emphasized that the company's success does not hinge on its model alone — a surprising claim given the AI industry's focus on raw performance benchmarks. Instead, Murphy pointed to three factors: the company's strategic positioning, its ability to execute on enterprise partnerships, and a disciplined approach to product-market fit that other AI startups have struggled to replicate. He noted that Anthropic's revenue surge from $9 billion to $47 billion in roughly 16 months represents the fastest growth trajectory he has ever observed across any technology wave. Read also: Monday.com Cuts 630 Jobs in AI-Focused Restructuring Background Menlo Ventures led Anthropic's $500 million Series D at a time when few institutional investors were willing to back the company. At that point, Anthropic had no revenue and had not yet launched its flagship product. Murphy described the bet as one of the most contrarian moves of his career. Founded in 2021 by former OpenAI employees, Anthropic has positioned itself as a safety-focused alternative in the AI race. Its Claude model family competes directly with OpenAI's GPT series and Google's Gemini, but the company has deliberately avoided the hype cycle that surrounds many AI rivals. Why It Matters Anthropic's trajectory challenges the prevailing narrative that AI startup success depends primarily on model superiority. If Murphy's analysis is correct, the company's ability to commercialize AI — not just build it — may serve as a blueprint for the next generation of AI companies seeking sustainable growth rather than fleeting buzz. The $47 billion run rate also signals that enterprise demand for AI assistants has moved beyond experimentation into large-scale deployment, creating a market that may reward operational discipline as much as technical innovation. What's Next Murphy did not disclose specific product roadmaps, but the conversation implied that Anthropic's focus will remain on deepening enterprise relationships rather than chasing model benchmarks. The company faces growing competition from well-funded rivals like OpenAI and Google, as well as an increasingly crowded field of open-source alternatives. Whether Anthropic can maintain its breakneck growth rate will depend on its ability to keep enterprise clients satisfied while fending off commoditization pressure from cheaper, smaller models.