The call to slow down AI development isn't just a safety measure; it's a strategic recognition by major labs that their era of solely dictating the pace of innovation is over. This proposal represents an opening bid in a broader negotiation about the future of AI governance.

CEOs like Anthropic's Dario Amadei publicly advocate for slowing AI development and government oversight. The cynical but plausible take is this is a strategy to create a "regulatory capture" scenario, building a moat against open-source competition and ensuring their company's survival and market position.

Anthropic's public calls for a pause on AI development are likely a strategic move. By stoking fear about AI's dangers, the company may be trying to get "nationalized" or create a regulatory moat that secures taxpayer funding and locks out smaller competitors, a classic case of regulatory capture.

Anthropic's public focus on AI doomerism and safety isn't just ideological; it's a strategic move. By positioning themselves as the "safe" player, they can influence regulation to create a closed environment with few competitors, creating an information asymmetry they can exploit.

Anthropic's public stance advocating for a regulatory approval process for AI models, while framed around safety, could create a competitive moat. This strategy leverages political concerns about AI danger and China to potentially establish a de facto ban on open-weight models, benefiting their closed-model business.

Frontier AI labs like OpenAI and Anthropic are not genuinely planning to slow development. Their public calls for regulation serve strategic purposes: virtue signaling, legal cover (CYA), and most importantly, 'monopoly masking'—pretending the market is more competitive than it is to avoid antitrust scrutiny of their emerging duopoly.

Investor David Sacks posits that OpenAI and Anthropic, as the dominant players, don't need external permission or regulation to slow their own development. He suggests their public calls for 'pacing' are a pretense to establish a regulatory cartel that would entrench their lead and police competitors under the guise of safety.

Anthropic publicly stokes fears about AI's dangers to invite government regulation. This is a deliberate strategy to create compliance burdens that open-source competitors cannot meet, effectively legislating them out of existence and capturing the market.

The breathless talk about AI's dangers from leaders of large AI labs isn't just about safety; it's a business strategy. By encouraging regulation, established players like Anthropic can create a 'regulatory moat' that makes it harder for smaller competitors to enter the market.