NextFin News - A comprehensive investigation into the inner workings of OpenAI has pulled back the curtain on a culture of "empire-style" power struggles and staggering operational inefficiencies. According to the Chosun Ilbo, the newly released book "AI Empire: Power, Capital, Labor" by investigative journalist Karen Hao—based on interviews with over 260 sources and 300 sessions—depicts a company fractured by internal discord and an aggressive, ideological pursuit of capital that has largely eclipsed its original scientific mission.
The book, which debuted in late February 2026, characterizes OpenAI’s leadership under U.S. President Trump’s ally Sam Altman as a "palace intrigue," where the drive for artificial general intelligence (AGI) has devolved into a high-stakes money fest. Beyond the boardroom, Hao’s reporting tracks the physical footprint of this empire, documenting the exploitation of low-wage labor in Colombia and Kenya for content moderation and the depletion of water resources in Arizona and Chile to cool massive data centers. This "rosy future" promised by AI leaders is, according to Hao, being built on the backs of the world’s most vulnerable populations.
The timing of these revelations coincides with a period of extreme financial volatility for the AI giant. While OpenAI’s annualized revenue run rate reportedly surpassed $20 billion in 2025, the cost of maintaining its dominance has scaled even faster. According to Whalesbook, OpenAI is navigating a critical cash crunch in 2026, with an annual burn rate now exceeding $17 billion. Despite serving nearly 900 million weekly active users, the company’s free-to-paid conversion rate remains a precarious 5-6%, forcing the organization to subsidize a massive user base through constant capital injections and a controversial pivot toward advertising.
This financial paradox—where revenue growth is inextricably tied to a tenfold surge in compute capacity—has created a "compute-revenue trap." OpenAI’s data center commitments are now valued at an estimated $1.4 trillion, with plans to spend nearly $100 billion on custom chips and infrastructure by 2030. Analysts suggest that the internal power struggles described by Hao are likely exacerbated by this financial pressure, as different factions within the company clash over whether to prioritize immediate monetization through ads or maintain the costly pursuit of AGI.
The "emperor" narrative surrounding Altman, as detailed by Hao, reflects a broader trend in Silicon Valley where centralized power often leads to organizational fragility. The book suggests that the closed and secretive nature of OpenAI has allowed internal fractures to fester, particularly as the company prepares for a potential $1 trillion IPO in late 2026 or 2027. This valuation, nearly 100 times its projected 2025 revenue, is increasingly viewed by institutional investors as a potential peak of a tech bubble, especially as competitors like Anthropic and Google’s Gemini narrow the technological gap while operating with more streamlined cost structures.
Furthermore, the environmental and social costs highlighted in Hao’s investigation are beginning to trigger regulatory headwinds. Under the current administration of U.S. President Trump, while deregulation has been a theme, the sheer scale of resource consumption by AI data centers has sparked local resistance in key states. The "AI Empire" faces a dual threat: an internal culture of conflict that hinders agile decision-making and an external economic model that may be fundamentally unsustainable without a radical breakthrough in compute efficiency.
Looking ahead, the success of OpenAI’s survival depends less on its next model release and more on its ability to transition from an "empire" of expansion to a sustainable enterprise. If the internal power struggles continue to mirror the "palace intrigue" described by Hao, the company risks a talent exodus to rivals at a time when its burn rate leaves zero margin for error. As the 2026 fiscal year progresses, the market will be watching whether OpenAI can reconcile its trillion-dollar ambitions with the harsh reality of its $17 billion annual deficit.
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