OpenAI’s towering $852 billion valuation is coming under sharper examination from some of its own backers as the company recalibrates its growth strategy, shifting deeper into enterprise software and coding tools in a bid to counter rising competitive pressure from Anthropic and a reinvigorated Google.

The concerns, first reported by the Financial Times, come barely a month after OpenAI completed what is widely seen as the largest fundraising round in Silicon Valley history, raising $122 billion in an oversubscribed deal that cemented its status as one of the world’s most valuable private technology companies.

The central question now confronting investors is not whether OpenAI can raise capital, but whether its strategic direction can justify a valuation approaching $1 trillion as it moves toward a potential public offering later this year.

At the heart of the debate is the company’s shifting product roadmap. According to the report, OpenAI has redrawn its product strategy twice in the past six months, first in response to pressure from Google and more recently to defend market share against Anthropic, whose Claude ecosystem has been gaining traction, particularly in enterprise and developer workflows.

For some investors, that pace of strategic revision is beginning to raise focus questions.

“You have ChatGPT, a 1 billion-user business growing 50-100% a year, what are you doing talking about enterprise and code?” an early backer told the FT.

“It’s a deeply unfocused company.”

That quote captures the core tension around OpenAI’s current positioning. On one side is ChatGPT, a consumer product that has become one of the fastest-growing platforms in technology history, with a user base and growth profile that many companies would be reluctant to divert attention from. On the other hand, the enterprise market is where revenue is typically stickier, margins can be higher, and investor appetite ahead of an IPO often hinges on recurring business contracts rather than consumer engagement metrics.

The shift suggests OpenAI is increasingly prioritizing the latter, though not as a defensive response.

Private market investors and future public shareholders tend to place a premium on predictable enterprise revenue streams, especially in software and infrastructure businesses. Consumer usage can drive brand dominance, but enterprise contracts are often what support sustained multiple expansion in public markets.

That makes the pivot toward code assistants, API integrations, enterprise agents, and workflow products financially rational, even if it risks diluting focus in the near term. The timing is especially sensitive because Anthropic is reportedly growing at an accelerated pace. Some industry watchers now expect Anthropic’s revenue growth to overtake OpenAI’s within the next few months, an assessment that has intensified pressure on OpenAI to defend its position in corporate AI deployments.

This matters because the revenue mix between the two companies is evolving differently. OpenAI still retains enormous consumer dominance through ChatGPT, while Anthropic has built significant momentum in enterprise coding, research, and developer-heavy use cases. That divergence is increasingly shaping investor perception ahead of possible IPO filings.

The competitive threat from Google adds another layer. Google’s renewed push through Gemini and enterprise AI tooling means OpenAI is now defending leadership on two fronts: consumer mindshare and enterprise monetization.

In that context, the product roadmap revisions may be viewed less as indecision and more as rapid adaptation in an industry where leadership positions can change within quarters.

Still, investor unease is clearly building.

At an $852 billion valuation, expectations are extraordinarily high. The market is no longer pricing OpenAI as simply the creator of ChatGPT. It is pricing the company as a long-term AI platform leader with durable monetization, enterprise scale, and eventual public-market readiness. That explains why even modest signs of strategic uncertainty attract outsized scrutiny.

OpenAI has strongly pushed back on the suggestion that investors are losing confidence. Chief Financial Officer Sarah Friar said the idea that backers are not supportive of the company’s strategy “defies the facts,” according to the report.

In a statement to Reuters, an OpenAI spokesperson reinforced that position, saying the $122 billion raise was “oversubscribed, completed in record time and backed by a broad set of leading global investors, reflecting strong conviction in both our direction, current business momentum, and long-term value.”

The broader insight is that OpenAI has entered a new phase where the debate is no longer about whether generative AI is transformational but about which business model best captures that transformation: mass consumer adoption, enterprise integration, or a hybrid approach.

For a company valued at $852 billion, every product decision is now being judged not only on innovation merit but on its implications for revenue durability, competitive moat, and IPO optics. That is why the scrutiny from its own investors may prove as consequential as the competitive threat from rivals.

The $40 billion dollar accidental risk: Inside the Claude code leak

@ChaofanShou (The researcher who first flagged the leak): “Claude code source code has been leaked via a map file in their npm registry! This is massive. You can see every single internal prompt and tool definition.”

Last two weeks, X (twitter) erupted when an AI researcher made the tweet above. It would eventually gain over 34 million views with many other X users mobilising meet-ups to analyse the source codes with others already forking and porting while the skeptics wondered if this was really an accident as it was too good to be true.

Back story

The last day of March, 2026 was the last day Anthropic as an AI company lost protection of over 500,000 lines of pure typescripts from its flagship developer tool, Claude code. This was a classic case of a high-tech powerhouse being humbled by a low-tech mistake. What makes this event particularly striking and embarrassing (on their part) is not just the scale – it wasn’t a sophisticated hack at all; rather, a simple human error in the npm packaging process accidentally including a debugging sourcemap for Claude Code, v2.1.88, thus, supplying the techies enough tacos to feast on. Expectedly, within hours, the internet had de-obfuscated and reconstructed over 512,000 lines of TypeScript, effectively handing the world the blueprint for Anthropic’s flagship AI agent.

The Anatomy of the Leak: A bad day for the Claude crew

The leak exposed the inner workings of how Claude interacts with a user’s local file system, its “kairos” autonomous background agent mode, and even “Undercover Mode”—a feature that allowed Anthropic employees to contribute to public repositories while masking the AI’s involvement. Even though the model weights –  the core brain is still safe behind Anthropic’s servers, the scaffolding, that is, how the AI agent thinks, plans, and executes commands is now public. The leak originated from a misconfigured release that unintentionally included a source map (.map) file, which linked to a full archive of Claude Code’s internal TypeScript codebase. Within hours, the code spread across thousands of GitHub repositories, making containment virtually impossible. 

Importantly, Anthropic clarified that no user data or model weights were exposed. However, the leak did reveal internal architecture, hidden features, and product roadmap signals—effectively giving competitors a rare look under the hood of a top AI system. 

Implications for Anthropic

This incident creates a complex mix of risks and opportunities which will continue to unfold in the coming days. First beneficiaries here are the competitors. That’s not a hard guess.
The competitive exposure occasioned by this incident is served on a platter. The leak provides rivals with insights into Anthropic’s agent architecture, tooling strategy, and upcoming features.  It’s also a shortcut for any startup trying to build a rival coding assistant as they can now access how anthropic handles long-running tasks, error recovery and tool-calling logic. These vulnerabilities can also be weaponised against them. With the client-side logic exposed, bad actors can now find “jailbreaks” more easily. They can see exactly how the agent validates permissions, making it easier to craft malicious repositories that trick Claude into exfiltrating data or running unauthorised shell commands. Too bad but that’s only the pre-amble. That is to say that, the problem is not for the anthropic company alone, real-world security threats beyond their intellectual property loss has now been introduced as some leaked versions have already been repackaged with malware like Vidar (an information stealer) and Ghostsocks. This is a significant supply chain risk.

The reputation of the company as a leader in AI safety and security has also been massively hit. Coming at a time when Anthropic is already navigating tensions with the U.S. government over national security risks, this “human error” provides ammunition to critics who argue that AI labs cannot yet be trusted with sensitive defense-related deployments thus tightening their scrutiny and regularisation. Multiple leaks within a short period is not a positive sign and undermines the security legacy plus significant concerns about operational discipline in the event of partnerships, collaborators and investors.

Ironically, in all of these, one good news is that this leak has great potential to promote innovation across the industry thus accelerating the AI ecosystem advancement in general. Developers now better understand how advanced AI agents are orchestrated, lowering the barrier to entry.

Anthropic can regain its edge: Recommendations

To turn this disaster into a pivot that can help them remain competitive and credible, Anthropic needs to move decisively. This is a call to double-down on operational security and transparency. This mistake was professionally preventable. Implementing stricter CI/CD checks, artifact scanning, and “fail-closed” deployment pipelines is a great place to start. 

In addition, the real moat in AI is increasingly shifting toward proprietary data, training techniques, and model performance, not just tooling. Anthropic should lean into strengthening Claude’s core intelligence by shifting from code advantage (scaffolding) to model advantage. As unpleasant as this incidence has been, the temptation to fight the inevitability of leaks, it is important that they prioritise the path of selective transparency since their internal “Undercover Mode” has sparked a trust deficit, Anthropic could open-source controlled components and position itself as a leader in responsible transparency – similar to how some companies leverage open systems strategically. This move will boost developer trust in their operations. Furthermore, clear communication, rapid patching, and visible improvements in security processes will be key to retaining enterprise users and developers’ confidence. To neutralise any advantage gained from the leak, all the planned roadmap for product differentiation must be accelerated at a faster rate. The leak revealed ambitious features with internal codenames like “Capybara” and “Numbat”. Anthropic must ship these models earlier than originally scheduled and smarter than originally intended, that way they can stay ahead of the race and the old logic becomes obsolete. As an extra step, tightening the bond between the Claude Code CLI and secure hardware environments (like trusted execution environments), this level of integration can make the leaked software logic useless for anyone trying to run it on unverified systems

Final Thoughts

The Claude Code leak is more than just a technical mishap—it’s a signal moment for the AI industry. It highlights a paradox: the more powerful and complex AI systems become, the more fragile their operational layers can be. The leak is a bruising reminder that in the AI race, the “agentic” wrapper is just as valuable as the model itself. Anthropic still has strong fundamentals, but in a race where trust, speed, and innovation matter equally, incidents like this can shift momentum quickly. Anthropic’s “edge” no longer lies in how they built the tool, but in how fast they can evolve it beyond the version currently sitting in 8,000 GitHub mirrors. The next few months will determine whether this leak becomes a temporary setback—or a defining turning point.