Some early investors in OpenAI are voicing concerns over the start-up’s $852 billion valuation, alleging that recent strategic shifts have made the company appear unfocused and vulnerable to competitors. According to a report in the Financial Times, these investors are particularly unhappy with OpenAI’s pivot toward higher-margin enterprise sales, an area where it trails behind rival Anthropic. The criticism comes as OpenAI navigates a turbulent period marked by product cancellations, acquisition scrutiny, and a rapidly evolving AI landscape.
OpenAI, founded in 2015 as a non-profit artificial intelligence research lab, transitioned to a capped-profit model in 2019 to attract investment for its ambitious projects. The launch of ChatGPT in November 2022 catapulted the company to global prominence, amassing over a billion users and sparking an AI arms race. However, the company’s subsequent strategy has drawn fire from some early backers who feel it is straying from its core consumer success.
“You have ChatGPT, a 1-billion user business growing 50-100 per cent a year, what are you doing talking about enterprise and code? It’s a deeply unfocused company,” an unnamed early backer told the Financial Times. This sentiment reflects a broader unease among investors who believe OpenAI should double down on its consumer chatbot rather than chasing enterprise deals where it lags behind Anthropic—a startup founded by former OpenAI employees in 2021.
Strategic shifts and investor backlash
OpenAI has made several headline-grabbing moves in recent months that have puzzled investors. The company shuttered its video generation tool, Sora, which had attracted a $1 billion investment from Disney. The cancellation not only cost OpenAI a major partnership but also raised questions about its product roadmap. Additionally, OpenAI scrapped plans for an “adult” chatbot, drastically reduced an investment deal with Nvidia, and halted plans to develop a $30 billion data centre in the UK, as well as an extension of a site in Abilene, Texas.
These decisions, combined with the purchase of tech talk show TBPN, have been labelled “a distraction” by one investor. The acquisition of TBPN—a media platform covering technology and startups—seems an odd fit for an AI company, further fueling perceptions of a lack of strategic coherence. Critics argue that such moves deviate from OpenAI’s core mission of building safe and beneficial artificial intelligence.
Enterprise pivot: a risky bet?
OpenAI’s renewed focus on enterprise sales centres on its Codex coding tool, which competes directly with Anthropic’s Claude for Business and Google’s Gemini for Workspace. Codex, which can generate and debug code, is being pitched as a productivity booster for developers. However, analysts note that Anthropic has a stronger track record in the enterprise segment, with contracts from high-profile firms like Zoom and Notion. “OpenAI is playing catch-up in an area where Anthropic has already built trust,” says tech industry analyst Rishi Patel. “Enterprise clients value reliability and customization, which Anthropic has emphasized from the start.”
An investor who has backed both OpenAI and Anthropic warned that any investment in OpenAI’s latest funding round would require assuming an IPO valuation of $1.2 trillion or more—a threshold that has become harder to justify given Anthropic’s lower $380 billion valuation. “The risk-reward calculus has shifted,” the investor said. “Buying into Anthropic now offers a cheaper entry point with a clearer growth story.”
Infrastructure advantages and financial defence
Despite the criticisms, OpenAI holds a significant lead over its rivals in procuring computing resources. The company has secured exclusive access to vast arrays of Nvidia GPUs through its partnership with Microsoft, which has invested over $13 billion in OpenAI. This infrastructure advantage allows OpenAI to train and deploy massive models faster than competitors. CFO Sarah Friar defended the company’s strategy, stating that its large recent funding round—valued at $66 billion at a $157 billion pre-money valuation in October 2023—demonstrated strong investor confidence.
“The fact that we raised such a substantial amount at a premium valuation shows that the market believes in our long-term vision,” Friar said in a statement. She emphasized that the company’s pivot to enterprise is driven by the recognition that high-margin business customers will fuel sustainable growth, even if it means short-term criticism.
Historical parallels: the Netscape analogy
Jai Das, president of investment firm Sapphire Ventures, who is not an investor in either OpenAI or Anthropic, drew a striking parallel between OpenAI and Netscape, the browser pioneer of the late 1990s. Netscape dominated the early web but was eventually overtaken by Microsoft’s Internet Explorer, forcing it into a fire sale to AOL in 1998. “OpenAI could be the Netscape of AI,” Das warned, suggesting that the company’s early lead could evaporate if it loses focus or fails to adapt to competitive pressures.
This analogy resonates with industry observers who recall how quickly technological incumbents can be displaced. In the AI sector, Google and Anthropic are both investing heavily in consumer-facing products. Google’s Gemini is being integrated into its ecosystem, while Anthropic’s Claude has gained traction for its safety features and user-friendly interface. Meanwhile, Meta and others are open-sourcing powerful models, further commoditizing the market.
Broader context: the AI investment frenzy
The criticism of OpenAI’s strategy comes amid a broader frenzy of AI investment. Global spending on AI is projected to reach $500 billion by 2024, driven by enterprise adoption and venture capital flows. However, concerns about overvaluation and a potential AI bubble have grown louder. Some experts argue that the current hype cycle may be unrealistic, and that companies like OpenAI must demonstrate sustainable revenue growth to justify their sky-high valuations.
OpenAI’s revenue is estimated to have reached $1.6 billion in 2023, driven primarily by ChatGPT subscriptions and API usage. But to reach the $1.2 trillion IPO valuation that some investors demand, the company would need to grow its revenue exponentially—potentially to $30 billion annually within a few years. Achieving that would require not only retaining its consumer base but also capturing a significant share of the enterprise market. “That’s an enormous leap,” said investment analyst Karen Liu. “It assumes OpenAI can outmanoeuvre well-funded rivals and expand into new verticals without losing its core user base.”
Product cancellations and market reaction
The decision to shutter Sora was particularly shocking to investors. Sora had been touted as a breakthrough in AI-generated video, capable of creating realistic clips from text prompts. The tool was being tested with select creators and had generated buzz in Hollywood. Disney’s $1 billion investment was meant to co-develop Sora for film production, but OpenAI abruptly pulled the plug, citing “strategic realignment.” The move wiped out a potentially lucrative partnership and left industry analysts questioning OpenAI’s commitment to multimedia AI.
Similarly, the cancellation of the “adult” chatbot project—which aimed to offer uncensored conversations—was seen as a response to regulatory pressures. While safety advocates applauded the decision, investors viewed it as yet another shift in direction. The company also scaled back its $30 billion data centre plans in the UK and Texas, citing “infrastructure cost adjustments.” These cutbacks, combined with the reduced Nvidia deal, suggest OpenAI is tightening its belt—a sharp contrast to its earlier aggressive expansion.
The Anthropic factor
Anthropic, founded by former OpenAI employees Dario and Daniela Amodei, has positioned itself as the ethical alternative in AI. The company focuses on safety and alignment, which has resonated with enterprise clients wary of deploying risky AI. Anthropic’s revenue is smaller than OpenAI’s—estimated at $200 million in 2023—but its growth rate is comparable. More importantly, Anthropic has maintained a clear focus on safe AI research and product development, avoiding the kind of strategic pivots that have troubled OpenAI.
An investor who backed both companies noted that Anthropic’s simpler story appeals to risk-averse institutional investors. “With Anthropic, you know what you’re getting: a research-first approach with a clear product in Claude. OpenAI feels like it’s trying to be everything to everyone, which is harder to value.” This perception has been exacerbated by reports of internal turmoil at OpenAI, including the brief ouster and reinstatement of CEO Sam Altman in November 2023.
Altman’s leadership under scrutiny
Sam Altman’s leadership style has also come under the microscope. Known for his charisma and ambitious vision, Altman has driven OpenAI’s expansion into diverse areas, from AI chips to humanoid robots. But some investors argue that his sprawling interests contribute to the perceived lack of focus. “Altman is brilliant, but he needs to prioritize,” said one venture capitalist. “OpenAI can’t be everything at once. They need to pick a lane and execute.”
Altman’s high-profile advocacy for AI regulation and his alliances with world leaders have further complicated the company’s narrative. While these efforts enhance OpenAI’s thought leadership, they also distract from day-to-day product development. The return of Altman after his brief firing was seen as a vote of confidence from Microsoft and other backers, but it did little to quell concerns about strategic coherence.
Codex and the enterprise battlefield
The push for Codex is central to OpenAI’s enterprise strategy. Codex is a tool that uses natural language to generate code, similar to GitHub Copilot (which uses OpenAI’s models). However, Codex is positioned as a more powerful developer assistant capable of handling complex workflows. OpenAI is targeting chief information officers and engineering leads, offering customizable pricing and integration with existing development environments.
But the market for AI coding assistants is already crowded. GitHub Copilot, backed by OpenAI’s own technology, has millions of users. Anthropic’s Claude can also generate code, and Google’s Gemini is being embedded into its cloud services. To compete, OpenAI will need to demonstrate superior accuracy and reliability—a challenge given that large language models still produce errors. Moreover, enterprise clients demand robust security and compliance features, areas where Anthropic has invested heavily.
Jai Das of Sapphire Ventures noted that the enterprise pivot could be a double-edged sword. “OpenAI has a consumer franchise that most tech companies would kill for. If they neglect it while chasing enterprise deals, they risk alienating their user base. And in the enterprise, they’re not the first mover. That’s a dangerous combination.”
Despite these challenges, CFO Sarah Friar expressed confidence in the company’s direction. “We are building the infrastructure for the AI-driven enterprise. Our funding round shows strong investor support for this vision.” She pointed to partnerships with companies like Stripe and Morgan Stanley as evidence of OpenAI’s enterprise traction.
Looking ahead: can OpenAI refocus?
The coming months will be critical for OpenAI as it balances its consumer and enterprise ambitions. The company is reportedly planning a major update to ChatGPT, including enhanced memory and reasoning capabilities, which could reignite interest among users. At the same time, it must nurture its enterprise relationships to reassure investors.
One potential path is to integrate its consumer and enterprise products more closely, creating an ecosystem where ChatGPT serves as an entry point for enterprise tools like Codex. This could create network effects and reduce the perceived fragmentation. However, such integration requires disciplined execution—something that has been elusive for OpenAI in recent quarters.
Analysts also point to the importance of talent retention. OpenAI has lost several key researchers to Anthropic and other startups, including co-founder Ilya Sutskever. The brain drain could hamper innovation and further destabilise the company. To counter this, OpenAI has offered generous compensation packages and stock grants, but retaining top AI talent remains an industry-wide challenge.
Meanwhile, regulatory scrutiny of AI is intensifying worldwide. The European Union’s AI Act, the US Executive Order on AI, and China’s regulatory framework all impose new compliance burdens. OpenAI’s proactive engagement with regulators could be both a strength and a distraction, depending on how it manages the trade-offs.
The comparison to Netscape is instructive but not deterministic. Netscape failed because it underestimated Microsoft’s ability to bundle a competitive browser with its dominant operating system. In AI, the platforms of the future are still being defined. OpenAI’s early lead in large language models and its partnerships with Microsoft give it a strong foundation. But as the AI landscape evolves, staying focused—or pivoting strategically—will determine whether it becomes the enduring leader or a cautionary tale.
As one investor summed up: “OpenAI has the technology, the brand, and the money. What it needs now is clarity. Pick the battles that matter, execute relentlessly, and stop chasing shiny objects. If they do that, the valuation might just be justified. If not, the $1.2 trillion dream will remain just that—a dream.”
Source:Silicon UK News