Product1 distinct publisher3 min readUpdated
Ramp puts Anthropic at nearly 44% of its paying business users in July, OpenAI at nearly 40%. The lead is wider than in May, but the growth rate now runs the other way.
The Product Desk · Product desk
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Ramp, the corporate card and expense management company, has published share figures indicating that OpenAI has started gaining on Anthropic among US business customers [1]. For anyone mid-way through a model vendor evaluation, the useful signal is not who leads but how fast the order changes, because neither lab has published financials and will not until they are close to their planned IPOs [19].
The sequence matters. OpenAI lost the lead among Ramp's paying business users in May, when Anthropic reached 41% share against OpenAI's 39% [2], and has not regained it since [3]. As of July, Anthropic held nearly 44% to OpenAI's nearly 40% [4]. Read the snapshots alone and Anthropic is doing better, not worse: the gap went from about two percentage points in May to about four in July, roughly double [5]. The narrowing story rests on something else, which is Ramp economist Ara Kharazian's statement that OpenAI is currently growing faster in this segment in Q3 to date than Anthropic [7]. Ramp declined to release dollar figures, sharing only percentages [11], so the growth-rate claim cannot be checked against spend. TechCrunch notes there was still a month left in the quarter when the data came out, and that the trend could shift again [8].
Know what the sample is before quoting it in a procurement memo. It covers more than 70,000 American businesses that spend billions through Ramp's bill pay and corporate card products [9], skewed toward the tech industry even though the customer base spans sectors [10]. It is not the total market and excludes large enterprises that run spend management through providers such as American Express [12]. The two labs together account for roughly 84% of this measured segment, leaving about 16% for everyone else [6].
Kharazian's explanation, posted on X, is that "GPT-5.6 Sol is really good, increasingly the choice for developers" while "Fable 5, meanwhile, disappointed both in adoption and real-world application given price + data retention requirements imposed by regulators" [13][14]. TechCrunch pushes back that this oversimplifies: Fable is Anthropic's higher-end tier, expensive but aimed at a narrower set of use cases than a general chatbot [15]. It also notes Anthropic drew criticism when it told Fable users it must retain their data for 30 days [16].
The other line in the data cuts against zero-sum framing. The share of Ramp customer companies paying for AI at all topped 50% in March and reached nearly 56% by July [17], about six points in four months [18], which Ramp's data suggests should let both vendors grow business revenue even while fighting over share [21]. TechCrunch's read is that buyers flop back and forth as each lab ships, volatility that should make investors question how sticky enterprise AI spending really is [20].
Watch whether OpenAI's faster Q3-to-date growth [7] actually closes any of the roughly four-point July gap [5] when the quarter ends, and whether Ramp ever attaches dollars to the percentages [11]. Until then, treat "Claude for work, GPT for consumers" as a snapshot with a two-month half-life, not an architecture decision.
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Ranked by verification strength, evidence, and original report placement.
Ramp, the corporate credit card and expense management company, released new data indicating that OpenAI has started gaining on Anthropic with US businesses.
According to Ramp economist Ara Kharazian, OpenAI is currently growing faster among this segment in Q3 to date than Anthropic.
OpenAI lost the lead among Ramp's paying business users in May, when Anthropic hit 41% market share to OpenAI's 39%.
OpenAI has never regained the lead among Ramp's paying business users since May.
As of July, Anthropic had nearly 44% share of Ramp's paying business users to OpenAI's nearly 40%.
The Ramp data covers more than 70,000 American businesses that spend billions via Ramp's bill pay and corporate card products.
Evidence-backed comparisons of source perspectives and observed adoption signals. Read the methodology
Which Builder, Operator, and Investor concerns the observed source mix emphasized—not a truth score.
Evidence, demonstrated adoption, hype gap, incentives, and confidence are assessed independently, each on its own current evidence. How these are measured.
Single-publisher account of one vendor-supplied spend panel
The share and penetration figures come from a real transaction panel of 70,000-plus US businesses with a named Ramp economist attached, which is stronger than vendor marketing. But there is exactly one publisher and one dataset in the cluster, Ramp released percentages without dollars, the panel skews tech and excludes enterprises using rival spend-management tools, and neither lab commented or corroborated.
Paid AI buying is broad and still expanding in the panel
This is observed paid spend rather than intent: nearly 56% of Ramp customer companies were paying for AI by July, up from above 50% in March, and the two leading vendors together account for roughly 84% of those paying users. Adoption strength is high within the measured population, discounted because that population is tech-skewed and excludes large enterprises.
Headline momentum runs ahead of the measured levels
The 'OpenAI is gaining' framing is mildly overstated relative to what the data shows: the level gap actually widened from about 2 to about 4 points between May and July, the growth-rate reversal covers an incomplete quarter, and no dollars were disclosed. The publisher's own hedges keep the gap small, but the stickiness and revenue-growth conclusions are inferences beyond what one percentage-only panel can carry.
Data publisher and pre-IPO subjects both benefit from the narrative
Ramp gains distribution and authority for its spend platform by releasing selective AI benchmarks, and it chose to share percentages while withholding dollars. The subjects are two private labs approaching planned IPOs with no published financials, so third-party share narratives feed directly into valuation storytelling. The commentary attributing the shift to a rival's pricing and retention policy also comes from that same interested data publisher.
Numbers are credible for the panel; conclusions are not yet verifiable
Confidence is moderate. The reported figures are specific, dated, and attributed, and the article discloses its own limits, which supports the descriptive claims about Ramp's panel. Confidence is capped by the single-publisher, single-dataset structure, the missing dollar amounts, the incomplete quarter, and the fact that the two most consequential takeaways, weak spending stickiness and revenue growth for both labs, are labeled insufficient here.
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1 article · August 20, 2026