Hedge fund manager Paul Tudor Jones has called for immediate government regulation of artificial intelligence, a demand made public after he recently increased his investments in AI stocks. Jones, speaking on CNBC's "Squawk Box" on Thursday, stated, "We need to do it tomorrow. We're late already. We should have already done it." His advocacy for regulation, including watermarking AI to distinguish real content from deepfakes, follows his personal capital accumulation in the burgeoning AI sector.
Jones reported a significant shift in sentiment within the industry, noting that 80% of participants at a recent conference with AI experts and model makers now support regulation, a substantial increase from approximately 20% last year. The leader of one such company expressed surprise that the industry remained unregulated. Lawmakers and experts have long advocated for regulations, citing concerns related to safety, privacy, and security. These concerns, while framed broadly, often serve as a basis for establishing market stability and protecting the investments of established players.
Capital's Calculated Call for Control
The call for regulation from figures like Jones, who has already positioned himself to profit from AI's growth, highlights how capital seeks to manage the contradictions of rapid technological development. By advocating for rules after securing significant stakes, investors can shape the regulatory environment to their advantage, potentially creating barriers to entry for smaller competitors and solidifying their market dominance. The stated reasons for regulation—mitigating safety, privacy, and security concerns—are presented as universal, yet they also serve to de-risk investments and ensure a predictable environment for continued capital accumulation.
The state's response to this rapidly evolving technology has been fragmented and delayed, allowing for a period of unchecked development that has primarily benefited private capital. The European Union passed its AI Act 2 years ago (2024), demonstrating a more proactive approach to managing the technology's societal impact. In contrast, the United States has seen some states pass or introduce their own legislation, many of which have targeted child safety, a narrow focus that leaves broader structural issues unaddressed. The White House released a nationwide AI policy framework in March this year, but a framework does not constitute binding regulation, further extending the period of regulatory ambiguity.
Imperial Rivalry in the Digital Frontier
Beyond domestic policy, Jones underscored the heated rivalry between the United States and China to produce superior AI models and strategy. He asserted, "Everyone wants what's best for their people," while also stating his belief that China does not intend to "wipe out" the U.S. Jones advocated for dialogue between the two global powers on AI safety, suggesting a desire to manage geopolitical tensions that could disrupt the global flow of capital and technological development. The Wall Street Journal reported this week that both countries are considering official discussions about AI at an upcoming meeting between President Donald Trump and China's Xi Jinping. This proposed dialogue can be seen as an effort by state actors to manage imperial rivalries in a way that preserves the conditions for transnational capital accumulation, rather than fundamentally challenging the competitive framework that drives such rivalries. The focus on “safety” in these discussions, while ostensibly for public good, also serves to stabilize the competitive landscape for the dominant AI developers and investors.
The trajectory of AI regulation, as evidenced by the actions and statements of key capitalist figures and the state's measured responses, reveals a pattern where capital first exploits unregulated frontiers for profit, then calls for state intervention to solidify gains and manage systemic risks. This process ensures that the benefits of technological advancement continue to accrue to the owning class, while the broader societal implications, including potential labor displacement and increased surveillance, are addressed through limited, often symbolic, reforms that do not challenge the underlying economic structure.