A New Leader in Corporate AI Spending
Corporate AI spending patterns have shifted in a way few anticipated. According to Ramp’s expense platform, Anthropic now accounts for 34.4% of tracked corporate AI spending, edging out OpenAI’s 32.3%. This is based on real credit card transactions from more than 50,000 companies purchasing AI subscriptions, not survey data or hypothetical budgets. It is the first time Anthropic has surpassed OpenAI on a key business adoption metric, marking a symbolic turning point in the Claude vs ChatGPT enterprise conversation. The data captures discrete AI subscriptions rather than large bundled cloud contracts, making it a strong indicator of which vendors businesses deliberately choose when they are not tied to existing platforms. For corporate buyers, this shift signals that Anthropic is no longer a niche challenger but a mainstream option that can rival, and in some cases replace, OpenAI in everyday enterprise workflows.
Why Anthropic’s Strategy Resonates with Technical Teams
Anthropic’s rise in business adoption is not accidental; it reflects a deliberate go-to-market strategy focused on technical users first. The company targeted developers, data scientists, and advanced users, then expanded outward once those power users validated its tools. Ramp’s economist notes that Anthropic now dominates in finance, tech, and professional services, and reportedly wins around 70% of head-to-head evaluations against OpenAI among first-time AI buyers. This suggests that when teams seriously test Claude vs ChatGPT enterprise offerings, Claude often emerges as the preferred choice. Word-of-mouth among technical staff amplifies this advantage, especially in B2B environments where peer recommendations heavily influence procurement. The result is a compounding effect: early technical credibility translates into broader organizational adoption, reinforcing Anthropic’s reputation as a vendor that prioritizes reliability, control, and enterprise-readiness over pure hype.
Profitability and the Economics of Enterprise AI
Anthropic’s momentum is not limited to market share; it extends to its financial trajectory. Investor materials reviewed by reporters indicate the company is expected to post its first operating profit of USD 559 million (approx. RM2,580 million) in the second quarter on USD 10.9 billion (approx. RM50,300 million) in revenue, more than doubling from USD 4.8 billion (approx. RM22,200 million) in the previous quarter. By contrast, OpenAI is reportedly not on track to reach profitability until near the end of the decade and anticipates a significant loss in 2028. Anthropic’s compute spending has fallen to 56 cents per dollar of revenue from 71 cents, reflecting improving efficiency even as it commits to substantial long-term infrastructure deals. For enterprises, a profitable AI vendor can appear more stable and predictable, especially when AI capabilities are becoming core to operations rather than experimental pilots.
Implications for Enterprise AI Vendor Selection
The shift in corporate AI spending and Anthropic’s early profitability have direct implications for enterprise AI strategy. First, procurement teams now see credible alternatives to OpenAI, making vendor diversification more attractive. When independent spending data shows Anthropic leading in discrete AI purchases, it strengthens the case for multi-vendor portfolios that mix Claude and ChatGPT enterprise deployments. Second, Anthropic’s wins among technical buyers suggest enterprises should involve engineering and data teams early in vendor evaluations, rather than treating AI as a purely commercial decision. Finally, the data highlights the importance of flexibility: Ramp’s index excludes bundled cloud deals, implying that when organizations are free to choose, they may prioritize best-of-breed models over default options. Going forward, enterprises are likely to emphasize interoperability, cost efficiency, and governance capabilities as they weigh Anthropic, OpenAI, and other providers in a rapidly evolving AI stack.