Survey of 100 companies in the Global 2000 on AI use: 78% of CIOs use OpenAI models in production vs. 44% for Anthropic, but Anthropic's gains are impressive
Results from our third annual CIO Survey — The enterprise AI battleground is heating up, and we've got some fresh data on the state of play and who's winning.
Context & Ripple Effects
The survey provides a production-use checkpoint after reporting had already identified corporate AI as central to Anthropic's business, including a reported lead in enterprise API share. It distinguishes installed enterprise usage from the momentum Anthropic is showing among CIOs.
Later coverage reinforces why that distinction matters: Anthropic was reported to be taking a large share of first-time AI-tool spending, while Anthropic and OpenAI together captured most revenue among leading AI startups. The contest is increasingly about converting adoption into durable enterprise accounts.
First-order effects
- OpenAI holds the broader production footprint among surveyed Global 2000 CIOs, giving it a larger installed base of enterprise deployments than Anthropic.
- Anthropic's reported adoption gains make it a credible second production supplier for large enterprises, rather than merely an alternative under evaluation.
Second-order effects
- Enterprise buyers gain more reason to pursue new AI-tool purchases with more than one model vendor, increasing pressure on both firms to compete on deployment fit, reliability, and commercial terms.
- A larger Anthropic presence can make procurement more disciplined: customers can benchmark vendors by workload and avoid treating a single provider's production footprint as the default choice.
Third-order effects
- If adoption and new-spending momentum continue to diverge from installed-base leadership, enterprise AI may settle into a multi-vendor model market rather than a winner-take-most platform market.
- The key competitive measure will shift from model access to repeatable enterprise distribution and the ability to retain production workloads as procurement matures.
The trend: Enterprise AI competition is moving from early model adoption toward contested, multi-vendor production procurement, where installed usage and new buying momentum can point to different leaders.