The enterprise artificial intelligence race is becoming less about who holds the biggest valuation and more about who can win — and keep winning — corporate spending. New data highlighted in a recent report suggests OpenAI is gaining momentum against Anthropic among business customers, even though Anthropic still holds a larger share of the companies tracked and remains ahead on revenue.
According to data from corporate expense platform Ramp cited by Inc., business spending on OpenAI products grew 82% quarter over quarter, compared with 76% for Anthropic. That difference may look modest in isolation, but it is significant in a market where corporate AI budgets are expanding rapidly and customers appear increasingly willing to change providers when a stronger or cheaper model arrives.
OpenAI Is Closing the Gap in Business Spending
Anthropic overtook OpenAI among Ramp's paying business customers in May 2026. By July, Anthropic had reached nearly 44% share among the businesses in the dataset, while OpenAI was approaching 40%. The important signal, however, is the direction of travel: OpenAI's spending growth is currently accelerating at a faster quarterly rate.
The development reinforces a broader shift in the generative AI market. Enterprise adoption is no longer determined only by brand recognition or early technical leadership. Companies are actively evaluating model quality, developer experience, pricing and operational requirements, and they can redirect spending quickly when the economics change.
Performance and Price Are Becoming Powerful Weapons
One explanation for OpenAI's renewed momentum is product performance. Ramp lead economist Ara Kharazian pointed to strong developer interest in OpenAI's latest model while describing weaker real-world adoption for Anthropic's latest release. Pricing may be just as important. Inc. reported that OpenAI sharply reduced prices on two recently released models only weeks after launch, including an 80% reduction for one model.
For companies running AI at scale, token pricing is not a minor detail. A relatively small difference in inference cost can become substantial when millions or billions of tokens move through production systems. Aggressive price cuts can therefore influence procurement decisions almost as quickly as improvements in model capability.
Enterprise AI May Be Less Sticky Than Traditional SaaS
The most important lesson may be what this competition says about customer loyalty. Traditional enterprise software businesses often benefit from high switching costs: migrations are expensive, employees need retraining and integrations can take months to rebuild. Foundation models can behave differently. Applications increasingly sit behind abstraction layers and APIs that make it possible for teams to test or replace models without rebuilding an entire software stack.
That does not mean switching is effortless. Security reviews, compliance requirements, evaluations and application tuning still matter. But the market is showing signs that enterprises are prepared to move workloads when another provider delivers a meaningful advantage in price or performance.
This creates an unusual competitive dynamic. A company can lead one quarter and lose momentum the next. Model releases become commercial events, while pricing decisions can immediately affect adoption. For OpenAI and Anthropic, technical leadership alone may not create the kind of durable customer lock-in historically associated with major enterprise software platforms.
The Bigger Market Is Still Expanding
The rivalry is unfolding inside a rapidly growing market. Inc., citing Ramp data, reported that nearly 56% of businesses tracked by the expense platform paid for AI products in July, compared with just over 50% in March and 7.5% in January 2023. In other words, OpenAI and Anthropic are not simply fighting over a fixed pool of customers; the pool itself continues to expand.
Anthropic nevertheless retains important financial advantages. The Inc. report says the company generated $11.6 billion in second-quarter revenue, more than double its previous figure and enough to surpass OpenAI's quarterly sales for the first time. OpenAI reported $6.7 billion in second-quarter revenue, up 18% from the previous quarter. Anthropic also reported a small operating profit, while OpenAI's losses widened.
Why Business Adoption Could Matter More Than Valuation
Private-market valuations can capture expectations about future growth, but enterprise adoption provides a more immediate view of whether businesses are actually integrating and paying for AI products. The latest numbers suggest that this contest remains fluid. Anthropic can lead in customer share and revenue while OpenAI simultaneously posts faster growth in business spending.
For investors, developers and enterprise buyers, the takeaway is that there may be no permanent winner yet. The next model release, pricing change or regulatory requirement can alter purchasing behavior surprisingly quickly. The companies that ultimately dominate enterprise AI may not simply be those with the best model at a particular moment, but those that repeatedly combine performance, competitive economics, reliability and low-friction deployment.
OpenAI's latest acceleration therefore matters beyond a single quarter. It is evidence that the enterprise AI market remains highly contestable — and that customer loyalty in the age of interchangeable model APIs may prove far weaker than the software industry has traditionally expected.