Anthropic Leads Enterprise AI Spending as OpenAI Trails
Anthropic has overtaken OpenAI in enterprise AI API spending, according to data cited from Vercel AI Gateway. Anthropic accounts for 61% to 65% of business AI spending, while OpenAI holds roughly 35%. Anthropic achieves this share with only 30% to 32% of total token usage, indicating a significantly higher average price per token.
Anthropic’s enterprise AI spending share has risen from 12% in 2023 to about 40% in late 2025 and above 60% in 2026. The company is particularly strong in coding and agentic applications, where it holds about 54% of enterprise usage compared with OpenAI’s 21%. Average user spending is also higher for Anthropic, at approximately $420 versus $310 for OpenAI.
The shift reflects Anthropic’s enterprise-focused strategy, with about 80% of its revenue linked to business and API products. OpenAI retains major distribution advantages through ChatGPT, ChatGPT Enterprise and its Azure partnership. In addition, 67% of development teams use multiple AI providers, often assigning complex coding tasks to Claude and lower-cost, high-volume workloads to other models.
Separately, OpenAI CEO Sam Altman said job losses linked to AI have been slower than expected and rejected predictions of an imminent jobs crisis. His more optimistic view contrasts with Anthropic CEO Dario Amodei’s warnings about potential entry-level job cuts and AI-related systemic risks.
Neutral
The article has no direct link to cryptocurrency prices, blockchain activity or token fundamentals, so the immediate crypto-market impact is likely neutral. Anthropic’s rise in enterprise AI spending may strengthen the broader AI investment narrative, which can sometimes support AI-linked equities, infrastructure companies and speculative crypto tokens. However, the companies discussed do not have publicly identified cryptocurrencies or tokens.
In the short term, traders may react to the reported market-share figures by rotating toward AI-related stocks, data-centre infrastructure and semiconductor assets rather than major cryptocurrencies. Crypto markets could see only indirect sentiment effects, especially if the data renews enthusiasm for AI-related projects. The mixed use of multiple AI providers also reduces the likelihood that the figures represent a clear, sector-wide monopoly.
Over the long term, stronger enterprise demand for AI could support investment in computing infrastructure, cloud services and automation. That may improve risk appetite during periods of strong technology-sector performance. Conversely, concerns about AI job cuts, high valuations, pricing power and fiscal impact could trigger broader risk-off moves if they weaken confidence in the technology sector. As with previous AI-related market rallies, traders should distinguish confirmed revenue growth from promotional narratives and monitor liquidity, equity-market momentum and macroeconomic conditions before treating the news as a crypto signal.