Ramp data shows AI spending stalls as Anthropic approaches its IPO
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| Source: TechCrunch | Original article
Ramp data shows AI spending has stalled even as usage rises, raising questions about hypergrowth expectations ahead of Anthropic's upcoming IPO.
Ramp’s latest expense‑tracking data reveal that corporate AI spending has stalled even as usage climbs, a development that arrives at a critical moment for Anthropic, which is preparing for an initial public offering.
The report, based on transaction records from the corporate‑card platform Ramp, shows token‑based AI spend rising a modest 1.5 % across August and September 2026. By contrast, July’s month‑over‑month growth had surged 42 % despite token volumes continuing to increase through the late summer. The divergence suggests that large‑scale adopters are curbing costs through price cuts and tighter budgeting, blunting the revenue growth that model providers such as OpenAI and Anthropic have been counting on.
Why it matters is twofold. First, the assumption that higher AI usage automatically translates into proportionate revenue is now under pressure, potentially reshaping investor expectations for the sector’s “hypergrowth” narrative. Second, Anthropic’s upcoming IPO will be priced against a backdrop of flat spending, raising questions about whether the market will sustain the lofty valuations that have been floated in recent months. As we reported on 6 November 2026, some investors were already skeptical that Anthropic could command a $1.5 trillion market cap after a broader sell‑off, suggesting a more modest ceiling.
Looking ahead, analysts will watch the final pricing of Anthropic’s shares and the company’s guidance on enterprise revenue. Parallel signals from other AI vendors—particularly OpenAI’s response to the spending slowdown—will also be scrutinized. If price competition intensifies or corporate budgets tighten further, the next quarter’s spending data could confirm whether the current plateau is a temporary blip or the start of a longer‑term moderation in AI‑driven enterprise spend.
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