Four dominant tech hyperscalers are on track to spend $650 billion on data centers and infrastructure this year, and AI-linked shares now carry nearly half the total value of the S&P 500, with some measures putting the share closer to 50%–57%. Despite the consensus that mass adoption is inevitable, recent months show resistance: in April, a man motivated by anti-AI sentiment attacked OpenAI CEO Sam Altman’s home; in May, graduates booed commencement speakers, including former Google CEO Eric Schmidt at the University of Arizona; in June, Anthropic co-founder Jack Clark urged governments to build regulatory mechanisms to slow the technology down, and President Donald Trump signed a cybersecurity executive order establishing a voluntary, 30-day national security review for frontier models. Frontline workers, particularly Gen Z, increasingly admit to quietly undermining employers’ internal AI rollouts. The article argues that disruptive technologies scale based on human incentive structures, not abstract capability, and cites the Jersey Pump Principle: in the late 1940s, the automatic shut-off gas nozzle enabled safe self-service fueling, but New Jersey made it illegal for drivers to pump their own gasoline. When an innovation threatens stakeholders while concentrating efficiency gains at the top, the human system can build a firewall to freeze the technology in place.