When AI founders publicly catastrophize about the existential risks of their technology after cashing out, it's often a calculated marketing tactic. This narrative frames the technology as world-changing and immensely powerful, which serves as a compelling, if indirect, pitch to invest in their companies and support their valuations.

Anthropic's strategy of releasing its Mythos security model to CISOs first is a masterclass in selling fear. By framing their powerful new AI as a "terrifying weapon," they create demand for the very same product as the defense, effectively manufacturing a market for their solution.

Anthropic's claim that its Mythos model is too dangerous for public release is viewed skeptically as a savvy marketing strategy. This narrative justifies gating access, which helps manage immense compute costs and prevents competitors from distilling the model's capabilities, all while generating significant hype and demand from high-paying enterprise clients.

From OpenAI's GPT-2 in 2019 to Anthropic's Mythos today, AI labs have a history of claiming new models are too dangerous for public release. This repeated pattern, followed by moderate real-world impact, creates public skepticism and risks undermining trust when a truly dangerous model emerges.

The release of Mythos, framed as too dangerous for the public, and the viral "AI escaped and emailed me" story were meticulously timed PR efforts. This strategy aims to create a perception of technological superiority and justify a high valuation, especially ahead of a potential IPO.

Observing a competitor's dystopian ad campaign, Dan Siroker realized the worst outcome for a startup isn't bad publicity, but irrelevance. Controversial marketing, even if it gets negative reactions, can generate crucial mindshare and get people talking, which is a prerequisite for user adoption.

Anthropic limited its powerful Mythos model, which finds zero-day exploits, to critical infrastructure partners. While framed as a safety measure, this go-to-market strategy also creates hype, justifies premium pricing, and prevents distillation by competitors, solidifying its brand as a responsible AI leader.

Companies like OpenAI and Anthropic are generating buzz and a perception of power not by releasing models, but by strategically suggesting their latest creations are too risky for public access due to cybersecurity risks. This turns safety concerns into a status symbol and competitive marketing tactic.

The narrative of AI's world-changing power and existential risk may be fueled by CEOs' vested interest in securing enormous investments. By framing the technology as revolutionary and dangerous, it justifies higher valuations and larger funding rounds, as Scott Galloway suggests for companies like Anthropic.