OpenAI is abandoning its consumer-focused strategy to pursue a more profitable path: selling AI tools directly to businesses. The company, valued at $852 billion, is introducing new artificial intelligence models designed for "high-value professional work" while shedding consumer offerings like its Sora video generator app . This strategic pivot reflects mounting pressure from rival Anthropic and the urgent need to generate revenue as both companies lose more money than they make.

Why Is OpenAI Shifting Away From Consumer Products?

OpenAI's challenge is stark: the company boasts more than 900 million weekly users of ChatGPT, yet approximately 95% of them pay nothing for the service . While these free users build habits and reliance on the platform, they also consume expensive computing resources without generating revenue. Chief Financial Officer Sarah Friar acknowledged the painful reality of this strategy shift. "I think it was a little heartbreaking, but we're like, OK, it's not the main event right now," Friar said in an interview. "We need to make sure that our new model that's coming has enough compute" .

The company's new business-focused model, codenamed Spud, promises "stronger reasoning, better understanding of intent and dependencies, better follow-through and more reliable output in production," according to OpenAI's description . This model represents OpenAI's direct response to Anthropic's Claude Mythos, which Anthropic claims is so capable that the company is limiting its use to select customers due to its apparent ability to surpass human cybersecurity experts in finding computer vulnerabilities .

How Is OpenAI Restructuring Its Business Model?

OpenAI's revenue transformation is accelerating rapidly. When Friar joined as CFO in 2024, business customers accounted for approximately 20% of OpenAI's revenue. That figure has now climbed to 40%, with expectations to reach 50% by year's end . To drive this shift, OpenAI hired Slack CEO Denise Dresser as its first chief revenue officer three months ago, signaling the company's serious commitment to the enterprise market.

Dresser emphasized the urgency of this pivot in recent comments. "It's really clear to me that companies are past the experimentation phase and they're into using AI to do real work," she stated . Her appointment reflects OpenAI's recognition that winning corporate customers requires dedicated sales leadership and a laser focus on workplace automation.

Dresser

The competitive landscape driving these changes includes several key factors:

• Anthropic's Revenue Growth: Anthropic reported annualized revenues of $30 billion, a higher figure than OpenAI has publicly disclosed, though the companies measure revenue differently .
• Market Momentum Shift: Anthropic is growing much faster than OpenAI according to researchers at Epoch AI, with trends suggesting the companies may be "quite close" in revenue and potentially crossing soon .
• Coding Advantage: Anthropic's early focus on software developers gave the company an initial competitive edge that OpenAI must overcome by expanding AI usage beyond technical professionals .

Dresser sent a memo to OpenAI employees on Sunday asserting that while Anthropic's coding focus "gave them an early wedge," OpenAI possesses the "real structural advantage" as AI usage expands beyond software developers . She characterized Anthropic's positioning as built on "fear, restriction, and the idea that a small group of elites should control AI," contrasting it with OpenAI's message to "build powerful systems, put in the right safeguards, expand access, and help people do more" .

What Products Is OpenAI Cutting to Fund This Shift?

The most visible casualty of OpenAI's refocus is Sora, its AI video generator app that the company had been promoting through a partnership with Disney. OpenAI has shelved this consumer initiative to redirect computing resources toward its new business-focused models . Additionally, CEO Sam Altman's late-2025 plans to sell ads on ChatGPT and allow the chatbot to engage in adult content for paid users have been abandoned as part of this strategic winnowing .

Friar explained the reasoning behind these difficult decisions. "Tech companies, when they're growing, it's just this natural thing that happens. There's so many cool things you could do," she noted. "But companies can end up doing really badly if they do too many things, while great companies are very good at, in a reasonable period of time, kind of doing that winnowing down and refocusing and it's super painful" .

Friar

Alongside Sora's cancellation, OpenAI introduced GPT-Rosalind, a specialized model named after scientist Rosalind Franklin that is designed to advance drug discovery and other life sciences research . This move demonstrates that OpenAI's new consumer cuts are being replaced with enterprise-focused tools rather than a complete abandonment of innovation.

What Are the Financial Stakes for Both Companies?

Both OpenAI and Anthropic face significant financial pressure as they race toward profitability and potential public offerings. The stakes are extraordinarily high: maintaining and scaling AI systems requires enormous computing infrastructure that costs between $100 billion and $200 billion annually, according to AI critic Ed Zitron . This reality underscores why both companies must generate substantial revenue to survive long-term.

The competition between these two AI leaders will likely intensify as they pursue overlapping customer bases. Anthropic has already imposed rate limits on heavy users, forcing some to wait hours to access Claude, while both companies have established service tiers that reward premium payers . These constraints suggest that as AI companies attempt to manage costs, they may increasingly restrict access for non-paying users and smaller customers.

OpenAI's strategic pivot represents a fundamental shift in how the company views its future. Rather than chasing consumer adoption and advertising revenue, the company is betting that enterprise customers will pay premium prices for AI tools that automate workplace tasks and boost productivity. Whether this strategy succeeds depends on OpenAI's ability to deliver business-focused models that outperform Anthropic's offerings while maintaining the computing capacity to serve both markets effectively.