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OpenAI Gains on Anthropic in Corporate AI Spending, Ramp Data Shows

Corporate card and spend-management platform Ramp released updated enterprise purchasing data indicating that OpenAI is growing faster than Anthropic among US businesses in the third quarter of 2026, closing the gap after losing the top spot earlier in the year. The metrics, compiled from transaction data across more than 70,000 businesses using Ramp corporate cards and invoice processing, highlight ongoing volatility in enterprise model selection. Market Share Trajectory and Model Drivers A

axc
axc
1 min
OpenAI Gains on Anthropic in Corporate AI Spending, Ramp Data Shows

Corporate card and spend-management platform Ramp released updated enterprise purchasing data indicating that OpenAI is growing faster than Anthropic among US businesses in the third quarter of 2026, closing the gap after losing the top spot earlier in the year.

The metrics, compiled from transaction data across more than 70,000 businesses using Ramp corporate cards and invoice processing, highlight ongoing volatility in enterprise model selection.

Market Share Trajectory and Model Drivers

Anthropic overtook OpenAI in business adoption on Ramp's platform in May 2026, capturing 41% market share compared to OpenAI's 39.5%. By July, Anthropic maintained a lead of roughly 44% against OpenAI's 40%.

Enterprise model selection dynamics and cost retention tradeoffs

According to Ramp lead economist Ara Kharazian, OpenAI's Q3 rebound is primarily driven by developer traction around its GPT-5.6 Sol model. Conversely, Anthropic's high-tier Fable 5 model faced adoption headwinds due to premium pricing structures and mandatory 30-day data retention requirements imposed by regulatory agreements.

Broadening Enterprise Penetration

While the two providers trade market share, overall corporate AI investment continues to climb across mid-market and tech-forward organizations:

  • Overall Adoption: The share of Ramp customer companies paying for AI subscriptions reached nearly 56% in July 2026, up from 50% in March.
  • Provider Volatility: Organizations continue to switch primary model providers quickly in response to checkpoint releases and price-performance shifts.
  • Scope Limitations: Ramp's dataset reflects direct card and invoice spend, excluding multi-year enterprise volume commitments through hyperscaler cloud agreements such as Microsoft Azure or AWS Bedrock.

Sources

AIOpenAIAnthropicEnterpriseBusiness
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