๐ธ Claude is now the #1 business AI
Summary
Anthropic has surpassed OpenAI in business adoption, according to Ramp's May 2026 AI Index, which tracks corporate credit card spending. Anthropic now holds 34.4% of U.S. business adoption, compared to OpenAI's 32.3%. This marks a significant shift from May 2025, when OpenAI led with 32% and Anthropic had only 8%. The reversal is largely attributed to Anthropic's Claude Code, an autonomous coding tool that generated $2.5 billion in annualized revenue by February 2026. As of April 2026, Anthropic's annualized revenue reached over $30 billion, exceeding OpenAI's approximately $24 billion. OpenAI has responded by launching a $4 billion "Deployment Company" with 19 partners to accelerate Codex adoption within enterprises.
Key takeaway
For CTOs and VPs of Engineering evaluating AI vendor partnerships, Anthropic's recent surge in enterprise adoption, particularly with Claude Code, indicates a strong and rapidly expanding presence. You should assess Anthropic's offerings, especially its specialized coding tools, as they demonstrate significant traction and long-term integration potential within corporate infrastructures, influencing future procurement cycles and strategic AI investments.
Key insights
Anthropic has overtaken OpenAI in enterprise AI adoption, driven by its Claude Code autonomous coding tool.
Principles
- Enterprise contracts offer greater stickiness than consumer adoption.
- Specialized AI tools can drive significant market share gains.
Method
Claude's "Skills" feature allows users to create reusable instruction sets, installed once and triggered by a slash command, for recurring, structured tasks with consistent output formats.
In practice
- Utilize Claude's "Skills" for repetitive content workflows.
- Integrate AI agents into Notion workspaces for data syncing.
- Consider open-source AI coworkers like Pipali for routine tasks.
Topics
- Anthropic Claude
- OpenAI
- AI Business Adoption
- AI Agents
- AI Cyberattacks
Code references
Best for: Investor, CTO, VP of Engineering/Data, Director of AI/ML, AI Product Manager, Executive
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