OpenAI and Anthropic intensify enterprise AI push as business customers become primary revenue focus

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OpenAI and Anthropic revealed at Davos that enterprise customers now represent 40% and 80% of their respective businesses. Both artificial intelligence startups are racing to expand their enterprise footprint, with OpenAI projecting enterprise revenue to reach 50% by year-end as competition intensifies for lucrative business contracts.

OpenAI and Anthropic Shift Strategic Focus to Enterprise AI

Artificial intelligence startups OpenAI and Anthropic are intensifying their pursuit of enterprise customers as both companies compete to drive revenue and increase market share in the rapidly evolving AI landscape. Speaking at the World Economic Forum in Davos, Switzerland, executives from both companies outlined ambitious plans to expand their business customer base throughout 2026

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Source: PYMNTS

Source: PYMNTS

OpenAI CFO Sarah Friar revealed that enterprise customers currently account for roughly 40% of the company's business as of January, with expectations to grow that figure closer to 50% by year-end

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. Meanwhile, Anthropic CEO Dario Amodei disclosed that enterprises already represent 80% of Anthropic's business, positioning the company as heavily invested in the B2B sector from the outset

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ChatGPT's Consumer Base Fuels Enterprise Momentum

OpenAI's enterprise strategy benefits significantly from consumer adoption of ChatGPT, which has reached more than 800 million weekly users. This widespread familiarity accelerates business integration, as the company announced in November that it had gained more than 1 million business customers, claiming to be "the fastest-growing business platform in history"

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. The company's valuation has swelled to $500 billion since launching ChatGPT in 2022

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Source: Seeking Alpha

Source: Seeking Alpha

Sarah Friar emphasized the dual focus during her CNBC interview at Davos: "As we look forward, for us, it's eyes on the prize of, 'How do we add value to the consumer? How do we add value to enterprises? And how do we close this capability gap?' You're going to hear us talk about this over and over again"

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AI Safety and Reliability Drive Anthropic's Enterprise Appeal

Anthropic positions AI safety and reliability as core differentiators in targeting enterprise customers. Dario Amodei explained that enterprises provide a relatively stable and predictable income source, aligning perfectly with the company's foundational principles. "Since the beginning, Anthropic has thought in terms of safety and reliability of AI systems, and one of the things we realized is that that was very synergistic with working with enterprises as compared to consumers"

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Anthropic Chief Product Officer Mike Krieger stated in March that the company focuses on how its technology could "help with knowledge work" for "people who spend all day in meetings or in Excel or Google Docs"

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. In December, Anthropic partnered with consulting firm Accenture to help companies scale AI projects and enable enterprise clients to use AI models for major productivity gains

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Measurable Productivity Gains Validate Enterprise Investment

OpenAI released data in December demonstrating broader adoption and deeper integration of AI across business functions. Enterprise workers attributed 40 minutes to 60 minutes of daily time savings to AI use, with data science, engineering and communications roles reporting the highest gains at 60 minutes to 80 minutes per active day

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. These tangible productivity gains strengthen the business case for enterprise AI adoption and suggest that both startups will continue prioritizing this segment as a critical revenue driver. The competition between these AI lab giants will likely accelerate innovation in AI systems designed specifically for business applications, with enterprises watching closely to determine which platform delivers superior capability gap solutions.

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