Have US companies been suffering from high AI prices for a long time? DeepSeek ranks No. 1 on U.S. enterprise software trends list

DeepSeek tops Ramp's software trends list for the first time, as U.S. companies seek alternatives to Chinese models due to the high cost of AI. A company paid Claude $500 million a month, and Uber used up its entire Token budget in four months.

US companies have been suffering from high AI prices for a long time? DeepSeek tops Ramp trending list

The latest survey report from the US enterprise expense management platform Ramp shows that DeepSeek topped the platform's "Software Trend List" for the first time, becoming the fastest-growing software supplier. This signal appears against the backdrop of soaring AI costs for U.S. companies: one company paid 500 million for Claude in one month, Uber exhausted its entire Token budget in four months this year, and Amazon and Microsoft are also suspending or reducing internal AI tool subscriptions.

Ara Kharazian, chief economist at Ramp, said bluntly: "This may be the clearest signal so far that U.S. companies are actively looking for low-cost alternatives to OpenAI and Anthropic." Looking back at the beginning of 2025, DeepSeek R1 topped the U.S. App Store, but the popularity of individual users and the enterprise market are of a different magnitude - Ramp 's business spending data more truly reflects the actual purchasing behavior of U.S. companies. But it needs to be viewed calmly: DeepSeek is still in its very early stages, after reaching 0.3% in U.S. enterprise adoption, which has dropped back to 0.1%.

DeepSeek tops Ramp trend list

DeepSeek's breakthrough in the US enterprise market is essentially "cost-driven". When Claude’s monthly fee of $500 million becomes a reality, any business will be looking for alternatives. The enterprise adoption rate of 0.1% shows that the market is still in its early stages, but being number one on the growth list means that the trend is clear - it is not an exaggeration for American companies to "suffer from high prices for AI for a long time."

What deserves attention in the future is the sustainability and ceiling of enterprise adoption: Can data security and compliance concerns be overcome by cost advantages? If the Chinese enterprise model can continue to provide comparable capabilities at 1/10 or even 1/100 of the price, the landscape of the U.S. enterprise market may fundamentally change.

  1. Can U.S. companies’ adoption of DeepSeek break through the “0.3% ceiling”?
  2. How do data security and compliance concerns affect corporate purchasing decisions?
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