Wow. Anthropic Now Expected To Have MORE Revenue Than OpenAI This Year
Claude use explodes. OpenAI faces numerous challenges
Anthropic has closed the gap with OpenAI.
Just a year ago, OpenAI had a material lead over Anthropic. That is no longer true.
Anthropic’s run-rate revenue surpassed $30 billion in April 2026, up from $9 billion at the end of 2025. Claude Code, Cowork, and Claude.ai are driving adoption across technical and enterprise audiences alike. Monthly visits to claude.ai surged from 16 million in January 2025 to 220 million in January 2026, a 13-fold increase in twelve months. One in five businesses on the corporate payments platform Ramp now pays for Anthropic, up from one in 25 a year ago.
OpenAI’s estimated revenue run rate for this year is $25B, which is now lower than Anthropic’s.
OpenAI is not standing still. It closed a $122 billion funding round in April 2026 at an $852 billion post-money valuation, the largest private capital raise in technology history.
But OpenAI is managing a compounding set of headwinds.
Investors are concerned about the massive losses OpenAI is projecting (source Wall Street Journal)
Three C-suite roles were vacated or restructured within a single week. Fidji Simo, CEO of AGI Deployment, is taking medical leave. CMO Kate Rouch is stepping down after breast cancer treatment. COO Brad Lightcap moved to a special projects role. Losing three senior leaders simultaneously, ahead of a potential IPO, is not a routine transition.
The New Yorker published a sweeping investigation this week, built on internal memos from former OpenAI co-founders Ilya Sutskever and Anthropic CEO Dario Amodei, concluding that OpenAI systematically abandoned its safety-first founding mission as it scaled. One former board member called Altman “unconstrained by truth.” The story will complicate enterprise procurement conversations.
There is near zero interest for OpenAI shares in the secondary market, always a concern sign.
The OpenAI-Microsoft divorce is nearly final, with Microsoft investing heavily in its own AI models and partnering with Anthropic for Cowork.
On the product side, OpenAI manages a wide and expanding portfolio: ChatGPT, Codex, image generation, voice, and an in-development super app aimed at combining them. Anthropic has concentrated resources on code, agents, and enterprise API access. That focus reflects a deliberate strategic choice, and the revenue numbers show which approach is gaining ground faster.
The competitive question for enterprise buyers is direct. Your AI vendor strategy, built 12 to 18 months ago when OpenAI was the default choice, deserves a fresh look. Claude is now the only frontier AI model available across all three major cloud platforms: Amazon Web Services, Google Cloud, and Microsoft Azure. The number of enterprise customers spending over $1 million annually on Anthropic doubled from 500 to more than 1,000 in less than two months.
OpenAI retains capital, brand recognition, and a massive consumer base.
Are you re-considering your company’s strategy with OpenAI? Let me know.
Join me at this large AI Conference this Friday, Apr 10 at MIT curated by Imagination in Action. I’m moderating 2 panels and participating on a third.
Onward,
Paul
Resources and Media:
LinkedIn: Calendar: Learning Lab: HBR Article; Daily AI Show: GAI World 2026: TEDx: X/Twitter: TikTok
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FAQ
Question: Should we reconsider our AI vendor strategy now that Anthropic has closed the gap with OpenAI?
Answer: Yes. Vendor selection made 12–18 months ago likely assumed OpenAI as the default leader. Anthropic’s rapid revenue growth, enterprise adoption, and multi-cloud availability change that assumption. A structured reassessment comparing performance, cost, integration flexibility, and risk across both providers is now warranted.
Question: How does Anthropic’s focused product strategy impact enterprise value compared to OpenAI’s broader platform approach?
Answer: Anthropic’s concentration on code generation, agents, and enterprise APIs can translate into faster improvements and clearer ROI in specific business workflows. OpenAI’s broader platform offers more versatility but can introduce complexity. The better choice depends on whether your priority is depth in key use cases or a unified, multi-modal ecosystem.
Question: What risks should executives weigh when evaluating OpenAI given recent leadership changes and scrutiny?
Answer: Leadership turnover and public criticism around governance and safety can affect long-term stability, procurement confidence, and regulatory perception. While OpenAI remains well-funded and widely adopted, enterprises should factor in vendor continuity, transparency, and alignment with internal risk standards before committing to large-scale deployments.