A DECADE OF AI DOOMSDAY WARNINGS FAILS TO SLOW THE RACE

For over ten years, prominent voices have cautioned that artificial intelligence could pose an existential threat to humanity. Stephen Hawking warned that AI development "could spell the end of the human race." Others have raised similar concerns about superintelligent systems that could threaten human survival. Yet these warnings have done little to pump the brakes on AI development. Companies continue racing to build larger, more capable models. Investment in AI research remains robust. The industry's momentum appears unstoppable despite the chorus of concern. The latest high-profile warning came when Anthropic researcher Jacob Coxon resigned last week and publicly declared that human extinction was imminent. His departure and stark message generated significant media attention, but early indications suggest it will follow the trajectory of previous warnings: initial shock, debate, and then business as usual. Several factors explain why doomsday scenarios haven't slowed the AI race. The financial incentives are enormous. Governments view AI dominance as strategically critical. Competition between companies creates pressure to move fast and cut corners. Many in the industry dismiss extinction-level risks as speculative or overblown. There's also a credibility gap. When warnings about catastrophic AI have been repeated for a decade without materializing, they lose force. The absence of the predicted disaster breeds skepticism about future predictions. Some argue that concrete safety measures and regulation would be more effective than warnings alone. Others contend that slowing AI development is neither feasible nor desirable, given potential benefits in medicine, science, and other fields. As warnings accumulate without slowing development, a key question emerges: what would actually change the trajectory of the AI race? Economic incentives, geopolitical competition, and technological momentum appear to outweigh concerns about existential risk.