Acceptance of Enterprise on Openai seems to be accelerated at the expense of rivals

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Openai seems to be pulling much more than rivals in the race to capture the AI ​​costs of Enterprises, according to the transaction data from Fintech Ramp.

According to AI index of RAMPwhich estimates the percentage of receiving AI products by taking advantage of the RAMP and Bill Pay pay data, 32.4% of US businesses paid for subscriptions for Openai AI models, platforms and tools since April. This was 18.9% in January and 28% in March.

Competitors were struggling to make such progress, Ramp data show. Only 8% of businesses had subscriptions to Anthropic products last month compared to 4.6% in January. Google AI subscriptions declined 2.3% in February to 0.1% in April, meanwhile.

“Openai continues to add customers faster than any other RAMP platform business,” writes Ramp Ara Kharzian’s economist in A a A blog post published on TuesdayS “Our (…) Index of RAMP AI shows that the acceptance of Openai business is growing faster than competitor models.”

AI ramp index can
Data from the RAMP AI Index.Image loans:Ramp

To make it clear, the RAMP AI index is not a perfect measure. He only examines a sample of corporate costs of about 30,000 companies. In addition, since the index identifies AI products and services using the names of traders and details of linear elements, it probably fails to spend in other cost centers.

However, the numbers suggest that Openai strengthens its grip on the large and growing Enterprises Market for AIS

In a report Posted in April, Openai said it has over 2 million business users, an increase of 1 million users SeptemberS The company expects revenue from businesses to contribute significantly to their bottom line. According to BloombergOpenai designs $ 12.7 billion in revenue this year and $ 29.4 billion in 2026.

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Openai, which does not intend to be positive for cash flows by 2029, this is plans to charge business customers thousands of dollars For specialized AI “agents” designed to support software engineering and research tasks.

 
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