Anthropic Just Dethroned OpenAI
Summary
Anthropic has surpassed OpenAI in business adoption, according to Ramp's May 2026 AI Index, which analyzes expense data from over 50,000 companies. The data indicates that 34.4% of participating businesses now pay for Anthropic services, compared to 32.3% for OpenAI. This marks a significant shift, as Anthropic's business customer base grew by 26 percentage points in the past year from 9% in May 2025, while OpenAI's share dipped by 1%. This trend is corroborated by other datasets, such as OpenRouter's leaderboard, where Anthropic has led since December 2025. Ramp economist Ara Kharazian attributes Anthropic's success to its strategy of initially focusing on technical customers and high-demand sectors like finance, tech, and professional services before broadening its appeal with tools like Cowork.
Key takeaway
For CTOs and VPs of Engineering evaluating AI vendor partnerships, this data suggests a critical shift in enterprise preference. Anthropic's focused strategy has yielded significant market share, particularly in finance, tech, and professional services. You should assess Anthropic's offerings for your specific technical needs and consider their expanding suite of tools, like Cowork, as a viable alternative or complement to OpenAI, especially if your organization operates within these high-adoption sectors.
Key insights
Anthropic has overtaken OpenAI in business adoption by focusing on specific high-demand sectors.
Principles
- Target niche technical users first.
- Execute well for core customer needs.
- Expand market reach incrementally.
Method
Anthropic's strategy involved starting with a narrow, technical customer base, deeply addressing their needs, achieving strong execution, and then gradually broadening its market appeal.
In practice
- Prioritize specific industry verticals.
- Develop tools for broader audiences.
- Monitor market momentum shifts.
Topics
- Anthropic
- OpenAI
- Business Adoption
- AI Market Share
- Ramp AI Index
Best for: CTO, VP of Engineering/Data, Director of AI/ML, Executive, Investor, Consultant
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Editorial summary, takeaway, and curation by AIssential. Original article published by AutoGPT.