OpenAI Emergency Stop: Dropping "Side Missions," Fully Focusing on Programming and the Enterprise Market

OpenAI is planning a major strategic shift: fully scaling back its previous “do everything” multi-line approach and focusing core resources on programming tools and the enterprise market. Behind this change is the strong rise of competitor Anthropic in the enterprise AI space and the looming IPO window, which together create dual pressures.

According to The Wall Street Journal, OpenAI’s application division CEO Fidji Simo previewed this direction to employees at a company-wide meeting last week, stating that senior executives including CEO Sam Altman and Chief Research Officer Mark Chen are actively evaluating which businesses will be deprioritized. Relevant decisions are expected to be communicated to staff in the coming weeks.

Simo directly characterized Anthropic’s success as a “warning signal” for OpenAI, demanding the company reclaim dominance among software developers and enterprise clients. The strategic shift’s immediate market implication is that product lines like Sora video generator, Atlas browser, and ChatGPT e-commerce features—previously heavily promoted—will be marginalized, with resources shifting toward more clearly monetizable areas such as programming and enterprise services.

Both companies are advancing toward IPO readiness. As previously reported by The Wall Street Journal, internal OpenAI discussions have proposed completing an IPO as early as Q4 this year. The approaching timeline has intensified competition and added urgency to this strategic contraction.

The cost of the “do everything” approach: scattered focus and resource misallocation

Last year, OpenAI launched multiple new products intensively, including the video generator Sora, the Atlas browser, new hardware devices, and ChatGPT e-commerce features. Sam Altman likened this strategy to “betting on a series of startups within OpenAI,” which in some ways reinforced the company’s image as a pioneer in the AI era.

However, many current and former employees say this model led to unclear strategic direction and a lack of consensus on resource allocation. This issue is especially pronounced in cutting-edge AI labs where compute resources are highly scarce—teams often only receive their allocated resources at the last minute, leading to increasingly complex organizational structures.

Take the Sora team as an example: despite the product being one of the company’s most prominent consumer offerings, its team was assigned under the research division rather than the product line. OpenAI launched the standalone Sora app in September last year, bundling it with a TikTok-like social feature, which briefly topped the Apple App Store’s free charts. However, usage quickly plateaued. The company is now considering reintegrating video generation features into the main ChatGPT app.

Anthropic’s aggressive push is eroding its advantage in the programming market

Anthropic’s rise is the direct trigger for this strategic shift.

With products like Claude Code and Cowork, Anthropic has become a leading provider in the enterprise AI market. These AI agent products that support autonomous completion of complex tasks have become popular in Silicon Valley and caused a stir in global stock markets last month.

Unlike OpenAI’s multi-line approach, Anthropic has adopted a highly focused product strategy, deeply cultivating the enterprise and programming markets, and has not yet ventured into image or video generation.

Last fall, Anthropic released an upgraded version of Claude Code based on more advanced models. During the holiday season, many programmers immersed themselves in testing its capabilities—this phenomenon, dubbed “Claude bender” within the industry, quickly made it the mainstream tool among software engineers at tech companies.

Refocusing: Accelerating programming, targeting enterprises

Facing pressure, OpenAI has begun to counterattack.

Last month, the company released a new version of Codex and a model GPT 5.4 optimized for professional work scenarios. As Simo disclosed on X (formerly Twitter), Codex now has over 2 million weekly active users, nearly quadruple the number at the start of the year.

In the enterprise market, OpenAI is pushing engineers to deeply embed with consulting firms and business partners to accelerate AI deployment across industries. Meanwhile, the Pentagon’s decision to list Anthropic as a supply chain risk has made some enterprise clients cautious when procuring Anthropic’s technology—Anthropic has filed a lawsuit over this decision.

Sam Altman brought Simo on board last August, giving her broad responsibilities covering product to finance. She is promoting deep integration between research and product teams and plans to organize long-term company investments, including hardware, around a core focus on enhancing user productivity.

IPO looming, strategic flexibility shrinking

Both OpenAI and Anthropic have taken steps toward IPO readiness, but neither has disclosed specific timelines.

According to The Wall Street Journal, internal OpenAI discussions have considered launching an IPO as early as Q4 this year.

The pressure of IPO expectations has further intensified competition between the two companies. For frontier AI firms needing ongoing funding to expand compute capacity, demonstrating a clear business model and profitability to public investors is crucial for capital approval. Simo bluntly stated at the all-hands meeting: “We are now in a state of war.”

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