How AI Fear Is Engineered to Boost Valuations and Capture Regulators

A peculiar phenomenon is unfolding in the AI landscape, characterized by a sudden surge in fear-mongering about AI's potential to destroy humanity. This isn't merely a natural awakening to a serious problem; it feels orchestrated, akin to a product launch. The "product" being sold is fear, which serves to justify exorbitant valuations for AI companies, such as Anthropic's projected $2 trillion IPO. This article delves into the evidence suggesting an intentional and coordinated effort to spread fear about AI to achieve specific outcomes.

The Genesis of Suspicion: Red Flags

Several red flags initiated this investigation:

1. The Viral Post of an Unknown Researcher: A 27-year-old researcher, Jacob Coxen, previously unknown in the AI community, resigned from Anthropic and posted a seven-part thread claiming AI could kill everyone by the end of the decade. Despite a minimal online presence, his post garnered 76 million views overnight and over 100 million by the next day. Even Elon Musk noted the unprecedented virality for a new account, suggesting something unusual was at play.

2. Anthropic CEO's Bizarre Statements: Days after Coxen's post, Dario Amodei, CEO of Anthropic, expressed discomfort with private companies building such powerful technology, suggesting it would be better in the hands of a "right combination of governments." This statement is perplexing given that Anthropic is simultaneously pursuing one of the largest IPOs in history. It creates a dichotomy: either the technology is dangerous and shouldn't be built, or it's safe and effective, justifying its market value.

3. AI Leaders Calling for Slowdown: Prominent figures in the AI industry, including Sam Altman (OpenAI), Elon Musk (XAI), Satya Nadella (Microsoft), and Demis Hassabis (DeepMind), publicly echoed Amodei's sentiments, calling for a slowdown in AI development. It's striking that those poised to gain immense wealth from AI are advocating for its deceleration. While genuine concern is possible, the timing and coordination raise questions about ulterior motives.

The "Product Launch" of Fear: A Deeper Dive

The hypothesis is that a coordinated effort is underway to manipulate public perception and achieve specific goals. This involves using fear as a tool to prove AI's power and justify its high valuations, while simultaneously seeking government protection and regulatory capture.

Fear as Proof of Power and Justification for Valuation

The narrative that AI is powerful enough to pose an existential threat serves two key purposes:

• Validating AI's Capabilities: If AI models are so powerful they represent a national security or existential threat, it suggests they are not merely advanced algorithms but possess a transformative capacity. This justifies the massive investments and high valuations, even if revenue generation is delayed. As Michael Burry noted, "IPOs need hype and puffery. We are so awesome it could become dangerous is hype and puffery."
• Attracting Government Support: By portraying AI as strategically important and potentially dangerous, companies can convince governments to protect them with taxpayer dollars. This provides a safety net against market volatility and competition, ensuring their survival and continued growth.

Regulatory Capture: A Monopoly by Other Means

The ultimate goal of this fear campaign, it is argued, is regulatory capture. This involves:

• Eliminating Competition: As companies grow, regulations that once hindered them can become a barrier for new startups. A $50 million annual compliance cost is negligible for a multi-billion dollar company but a death sentence for a small startup. By advocating for stringent regulations, large AI companies can effectively stifle competition and maintain their market dominance.
• Controlling Open Source: Open-source AI models, which are freely available and can be run on personal hardware, pose a significant threat to the premium pricing models of large AI companies. They effectively set the floor price for AI at zero. Both large AI companies and governments have an incentive to eliminate open source: companies to protect their revenue streams, and governments to maintain control over information and prevent the spread of uncontrolled narratives.

The Playbook in Action: Historical Parallels and Current Events

This strategy isn't new. Peter Thiel, a controversial figure in tech, predicted that the "Antichrist" (representing totalitarian control) would come to power by constantly talking about "Armageddon" and "existential risk" to justify regulation and governmental control.

The current events mirror this prediction:

• Jacob Coxen's Coordinated Viral Post: Investigations reveal that Coxen's viral post was likely coordinated. He had an exclusive interview with the Wall Street Journal 18 minutes before his post, suggesting pre-arrangement. Furthermore, his post was immediately amplified by advocacy groups funded by the same billionaires who invested in Anthropic, notably Yan Talon and Dustin Moskovitz. Moskovitz is also a major funder of the AI safety movement, creating a direct financial incentive for increased fear and regulation.
• Political Timing: Coxen's post coincided with a bill proposed by Bernie Sanders and Greg Casar to ban artificial super intelligence. Within a day, an Anthropic employee publicly supported Coxen's claims, further fueling the narrative.
• Sam Bankman-Fried's Precedent: The playbook bears striking resemblance to Sam Bankman-Fried's (SBF) attempts at regulatory capture in the crypto space. SBF, a major investor in Anthropic and a proponent of "effective altruism" (which emphasizes AI risk), actively lobbied for crypto regulations that would have effectively banned decentralized, open-source crypto, which he couldn't control or compete with. He later admitted his calls for regulation were "just PR" to eliminate competition.
• White House Influence: In 2023, venture capitalists Mark Andre and Ben Horowitz reported that the Biden administration indicated AI would be controlled by "two or three big companies" working closely with the government, discouraging new AI startups. This aligns with the idea of a "government cocoon" for AI.
• Biden's Executive Order and Rand Corporation: Biden's executive order on AI, issued under the Defense Production Act, mandated reporting for models exceeding certain computing power thresholds. The thresholds were reportedly influenced by the Rand Corporation, a think tank that received over $15 million from Moskovitz's Open Philanthropy. Rand's CEO, Jason Matheny, previously worked for Biden and founded another Moskovitz-funded think tank, CE set, which employed Carrick Flynn, a candidate heavily funded by SBF. This demonstrates a clear financial and personnel network driving specific policy outcomes.
• Sam Altman's Shifting Stance: While initially dismissing claims of government control as a "conspiracy theory," OpenAI CEO Sam Altman later testified before a Senate subcommittee, requesting a federal agency to license and regulate powerful AI systems, effectively asking for the "cocoon" he previously denied. OpenAI also delayed its IPO, citing safety concerns, and publicly called for mandatory national regulation.
• Obama's Involvement: Barack Obama has recently become a vocal advocate for AI regulation, urging Democrats to create a framework and making it a central agenda item if he were to run in 2028. This further solidifies the political push for government control.

The Consequences: A Ministry of Truth and Stifled Innovation

The implications of this coordinated effort are significant:

• Government Overreach: The fear-driven narrative provides an excuse for governments to expand their power and control, potentially leading to a "ministry of truth" that dictates what AI models can and cannot say. This is particularly dangerous given the shifting political landscape and the potential for weaponization.
• Stagnation and Monopoly: Regulatory capture stifles innovation by creating barriers for startups and protecting incumbent companies from competition. This can lead to monopolies and a lack of incentive for continuous innovation, ultimately harming the industry and the public.
• The "Antichrist" of Control: The article concludes that the real "Antichrist" isn't a demonic AI, but rather humans who seek totalitarian control through fear. History has shown that governments with excessive power can be the deadliest force on Earth, leading to immense suffering and the death of their own citizens.

Conclusion

The current wave of AI fear-mongering appears to be a carefully orchestrated campaign designed to benefit specific AI companies and political agendas. By leveraging fear, these actors aim to justify high valuations, secure government protection, and eliminate competition through regulatory capture. While the true extent of this coordination remains to be fully revealed, the interconnectedness of the individuals, organizations, and financial flows suggests a deliberate strategy to shape the future of AI in a way that serves their interests, potentially at the cost of innovation and individual liberty.