The ongoing legal battle between Elon Musk and Sam Altman, co-founders of OpenAI, has captured public attention with its dramatic courtroom proceedings. Musk alleges that Altman and OpenAI president Greg Brockman deceived him into funding the organization as a non-profit before restructuring it to include a for-profit entity. OpenAI counters that Musk was aware of these plans and accuses him of trying to hinder a competitor. However, focusing on this personal feud distracts from more critical issues in the AI industry.
The Real Problem Behind the Feud
Karen Hao, who has reported on OpenAI since 2019, argues that the bitter rivalry between tech billionaires is symptomatic of a deeper problem: the consolidation of power by a few AI empires. These companies, including OpenAI, xAI, and Anthropic, engage in similar behaviors such as compromising careful decision-making for speed, disregarding intellectual property, and aggressively scaling computing infrastructure at the expense of communities. If OpenAI were to falter, another barely distinguishable competitor would simply take its place.
Impact on AI Development
The lawsuit could have significant consequences for OpenAI, especially as it prepares for a potential initial public offering. Musk seeks $150 billion in damages and demands that OpenAI return to a non-profit structure, removing Altman and Brockman from leadership. However, the outcome of this trial will not change the imperial drive of these companies to consolidate data and capital, terraform the earth, and embed themselves within state apparatuses.
Before the industry pivoted to resource-intensive AI models, a variety of other AI applications flourished: small, specialized systems for cancer detection, language preservation, weather forecasting, and drug discovery. Alternative techniques, such as those used by DeepSeek, show that similar capabilities can be achieved with a fraction of the scale. However, these paths are starved of funding as venture capital concentrates on a few giants. In the first quarter of last year, nearly half of all venture money went to OpenAI and Anthropic alone.
Grassroots Resistance Growing
Despite these challenges, a global movement of resistance is emerging. Communities are protesting data centers, workers are striking, and educators and students are pressuring institutions. For example, in New Mexico, residents are demanding transparency for a proposed OpenAI supercomputing campus. In Memphis, Tennessee, leaders like KeShaun Pearson highlight the toll of Musk's Colossus supercomputers on local air quality. In Arizona, activists celebrated a victory when a city council voted to pause Amazon's Project Blue hyperscale facility.
Workers across sectors are organizing: healthcare professionals in California walked out over AI automation threats, and data workers in Kenya are fighting for better conditions. Cultural workers in over 30 countries are mobilizing against unauthorized use of their work and likeness. These efforts are forcing the AI industry to scale back ambitions. More than $150 billion worth of infrastructure projects were blocked or stalled in 2025, and OpenAI recently shut down its video-generation app Sora due to flatlining usage and grassroots pressure.
As Hao notes, empires depend on consuming resources for survival. When even a fraction of those resources are withheld, the giants stumble. The real accountability for the AI industry will come not from billionaire mudfights, but from the collective action of communities worldwide.
