AI Safety Warnings Collide With Accelerating US-China Competition as Doomsday Predictions Spark Debate

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Former Anthropic researcher Jacob Coxon's warning that AI could kill humanity by decade's end has sparked fierce debate about AI safety versus competitive pressures. His post gained 173 million views as China rapidly expands AI infrastructure in Inner Mongolia while US leaders question whether apocalyptic scenarios mask fears about Chinese competition threatening American tech dominance.

AI Industry Insiders Sound Alarm on Existential Risk

The AI development landscape erupted into controversy when Jacob Coxon resigned from Anthropic in early September, posting on X that "people building AI earnestly believe that it could kill us all by the end of the decade."

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His message, viewed 173 million times, triggered widespread debate about AI-induced doomsday scenarios. Evan Hubinger, who runs Anthropic's alignment research, responded by estimating over 10% odds of AI killing all humans within the next decade, admitting he lacks a plan to prevent it.

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Source: Korea Times

Source: Korea Times

These warnings reflect growing concerns within AI labs about p(doom) scores—the presumed likelihood of catastrophic risks posed by advanced AI. Many industry insiders openly discuss these probabilities, with estimates ranging from zero to 99.9%.

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Anthropic CEO Dario Amodei penned a lengthy essay on September 12 calling for moderation in AI development, with OpenAI CEO Sam Altman and Elon Musk expressing broad agreement about slowing the technology or subjecting it to greater oversight.

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Source: Futurism

Source: Futurism

Catastrophic Versus Existential: Understanding Real AI Threats

While species extinction remains speculative, experts emphasize the distinction between existential and catastrophic risk. AI safety concerns extend beyond theoretical doomsday scenarios to immediate threats like AI-powered hacking. Anthropic reported that Houthis in Yemen attempted using Claude Code for weapons programs, while scientists tried using Claude for biological weapons research in five separate cases.

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A growing proportion of offensive hacking now uses automated AI systems, raising questions about infrastructure vulnerability. Gary Marcus, an LLM critic, warns about stock markets, banks, and power grids facing threats from millions of autonomous agents.

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These catastrophic risks don't require artificial general intelligence—just humans armed with advanced AI models capable of unprecedented actions.

China's Massive AI Infrastructure Expansion Accelerates Competition

While safety debates rage, China AI ambitions are materializing rapidly in unexpected locations. In Ulanqab, Inner Mongolia—traditionally China's "potato capital"—massive data centers are rising from farmland to fuel the nation's AI platforms.

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Hundreds of workers construct facilities for Huawei, ByteDance, and DeepSeek across sparsely-populated provinces including Ningxia, Gansu, and Guizhou.

Source: BBC

Source: BBC

Xi Jinping visited a technology park near Beijing in February, declaring China must "give full play to our nation's advantage of concentrating resources to accomplish major tasks."

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The Chinese government mobilized state resources, with economists estimating state-led funds invested over $184 billion into AI firms between 2000 and 2023. Last year, government and state-owned banks pledged hundreds of billions more.

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China's approach differs fundamentally from US strategies. Beijing targets embedding AI across 90% of industries and society by 2030, focusing on immediate applications like intelligent robots replacing retiring workers and digital medical avatars rather than pursuing artificial general intelligence.

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US-China AI Arms Race Intensifies Amid Safety Concerns

The US-China AI arms race has created complex geopolitical tensions around AI safety and AI regulation. President Trump announced plans for an "AI czar" and "AI force" following the doomsday warnings, while Treasury Secretary Scott Bessent revealed both superpowers agreed to establish formalized AI dialogue, with senior officials meeting in China later this year.

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US restrictions on AI chip exports have limited China's access to advanced computing power needed for cutting-edge AI development. However, Chinese firms are innovating rapidly with open-source AI models. DeepSeek's flagship model could be more than 100 times cheaper to run than Anthropic's Claude Fable 5 model, with other Chinese LLMs up to 50 times cheaper than leading US versions while rapidly closing performance gaps.

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Dario Amodei called for maintaining US-led bans on selling advanced chips to China, warning that Chinese dominance would "pose grave danger for the US and the world."

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Trump declared "whoever wins AI, wins," explaining why the US resists slowing AI development despite industry warnings.

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Skepticism Mounts Over Industry Motives Behind Doom Warnings

Investor Steve Eisman dismissed apocalyptic warnings as manufactured crisis, telling CNBC: "I think these companies are very nervous, they realize that there are no moats around their business whatsoever, and they're trying to manufacture a crisis that will create regulation that they think they can then manipulate to create the moats."

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He called the "Terminator" scenario "garbage."

Financial pressures support this skepticism. US hyperscalers, along with Nvidia and Broadcom, hold over $3 trillion in off-balance-sheet commitments and guarantees.

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Mooted OpenAI and Anthropic IPOs face delays as record-breaking capital expenditure accelerates. Hyperscalers expect to invest up to $1.5 trillion in AI next year.

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Cheap Chinese competition compounds economic pressures. Private AI investment in China remains far lower than the US, where private sources poured $285 billion into technology in 2025 alone, yet Chinese open-source models threaten American business models.

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Democratic Governance Versus Corporate Leadership in AI Regulation

Stanford fellow and author of "The Tech Coup" criticized allowing AI CEOs to dictate discussion terms, comparing it to "asking oil companies to design climate policies or car companies to make traffic rules."

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European Commission President Ursula von der Leyen's invitation to AI CEOs to discuss "how to pace the frontier" drew particular criticism given Europe's comprehensive EU AI Act already addresses risk mitigation.

Source: The Next Web

Source: The Next Web

The EU AI Act includes obligations on transparency, assessing and mitigating systemic risk, and oversight of general-purpose models—precisely what experts want regulation to ensure elsewhere.

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Critics argue Europe should enforce existing laws rather than arrange summits with AI CEOs as substitutes for democratic governance.

Nonbinding moratoria negotiated between companies prove ineffective. Earlier calls by AI leaders for pausing frontier model development led to zero behavioral change.

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Advocates demand comprehensive governance reset led by democratic institutions to achieve independent scrutiny and real accountability, questioning how companies convinced investors they'll build the future while simultaneously warning they'll end it.

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