OpenAI is abandoning consumer-focused projects like its Sora video generator to concentrate on business-oriented artificial intelligence products, marking a significant strategic shift for the company. The San Francisco-based AI research lab, valued at $852 billion, is racing to capture corporate customers as it competes fiercely with rival Anthropic for enterprise revenue .

Why Is OpenAI Shifting Away From Consumer Products?

The answer comes down to money and survival. While ChatGPT boasts over 900 million weekly users, approximately 95 percent of them do not pay anything for the service . That massive user base strains OpenAI's expensive computing infrastructure without generating meaningful revenue. Meanwhile, both OpenAI and Anthropic lose more money than they make, creating urgency to find profitable revenue streams before going public.

Sarah Friar, OpenAI's chief financial officer, explained the difficult decision to deprioritize consumer initiatives.

"I think it was a little heartbreaking, but we're like, 'OK, it's not the main event right now.' We need to make sure that our new model that's coming has enough compute," said Friar.

Sarah Friar, Chief Financial Officer at OpenAI

The shift is dramatic. When Friar joined OpenAI in 2024, business customers accounted for about 20 percent of the company's revenue. That figure has now jumped to 40 percent, with projections to reach 50 percent by the end of the year . This trajectory reflects a company making hard choices about where to allocate its finite computing resources.

What New AI Models Is OpenAI Launching for Businesses?

OpenAI is preparing multiple specialized models designed to appeal to corporate clients. The company is introducing a new artificial intelligence model codenamed Spud, described as its "smartest model yet" with stronger reasoning, better understanding of intent, and more reliable output in production environments . This model represents OpenAI's direct answer to Anthropic's Claude Mythos, which Anthropic claims is so capable that the company is limiting its use to select customers due to concerns about its cybersecurity abilities.

Beyond Spud, OpenAI also introduced GPT-Rosalind, named after scientist Rosalind Franklin, specifically designed to advance drug discovery and life sciences research . This specialized approach mirrors how Anthropic has positioned itself as the preferred vendor for software developers, while OpenAI now seeks to expand its reach across multiple professional sectors.

How to Understand OpenAI's New Business Strategy

• Revenue Concentration: Business customers now represent 40 percent of OpenAI's revenue, up from 20 percent when the CFO was hired in 2024, with expectations to reach 50 percent by year-end.
• Model Specialization: OpenAI is launching specialized models like Spud for general professional work and GPT-Rosalind for life sciences, rather than relying solely on general-purpose consumer products.
• Leadership Changes: The company hired Denise Dresser, former CEO of Slack, as its first chief revenue officer three months ago to focus exclusively on corporate partnerships and workplace automation.
• Consumer Product Abandonment: OpenAI is shelving consumer initiatives like Sora, its AI video generator, to redirect computing resources toward enterprise-focused development.

Denise Dresser, OpenAI's newly appointed chief revenue officer, emphasized the urgency of this pivot.

"It's really clear to me that companies are past the experimentation phase and they're into using AI to do real work. Leaders at companies are recognizing that AI is probably the most consequential shift of their lifetime," said Dresser.

Denise Dresser, Chief Revenue Officer at OpenAI

Dresser sent a memo to OpenAI employees last Sunday outlining the competitive stakes against Anthropic. She argued that while Anthropic's focus on coding gave it an early advantage with software developers, OpenAI has the "real structural advantage" as AI usage expands beyond that narrow segment and the company builds sufficient computing capacity .

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How Does This Competition With Anthropic Shape the AI Market?

The rivalry between OpenAI and Anthropic is intensifying as both companies race toward profitability. Anthropic, valued at $380 billion, has reported annualized revenues of $30 billion, a figure higher than what OpenAI has disclosed, though the companies measure revenue differently . Friar and Dresser have suggested that Anthropic's number may be inflated because it does not account for revenue the company must share with cloud computing providers Amazon and Google.

Luke Emberson, a researcher at nonprofit institute Epoch AI, observed that the two companies are likely quite close in actual revenue.

"They're likely quite close. Certainly the trends show Anthropic is growing much faster than OpenAI. If that continues, they're likely to cross soon," noted Emberson.

Luke Emberson, Researcher at Epoch AI

This competitive pressure has forced both companies to make strategic choices. Anthropic has imposed rate limits on heavy users, forcing some to wait hours to access Claude, while both companies have created premium service tiers that reward paying customers . These moves signal that the era of unlimited free access to cutting-edge AI may be ending.

The stakes are enormous. Both companies are privately held and losing money, creating pressure to demonstrate a viable path to profitability before attempting to go public. OpenAI's decision to focus on business customers reflects a recognition that consumer adoption alone cannot sustain the company's massive infrastructure costs, which some estimates suggest require $100 billion to $200 billion annually just to keep the systems running .

For businesses considering AI adoption, this shift means OpenAI is positioning itself as the enterprise platform of choice, with specialized models tailored to specific professional needs. For consumers accustomed to free ChatGPT access, it signals that the company's priorities have fundamentally changed, with consumer-facing innovations like Sora taking a backseat to corporate revenue generation.