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AI as a 'biblical' threat? The real story is a familiar economic shift

By Maya Patel4 min read1 views
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AI as a 'biblical' threat? The real story is a familiar economic shift

Hype about AI ending everything distracts from what's actually happening: billionaires are doing to white-collar workers what globalization did to blue-collar workers.

The headline asks: Is AI a ‘biblical’ threat? The breathless rhetoric — an AI expert warning of the ‘end of everything’ — plays into a familiar pattern. Every new technology gets its doomsayers. But the source material provided to SysCall News suggests a different, more grounded story: the unified class project of billionaires is doing to white collar workers what globalization and neoliberalism did to blue collar workers.

That is a claim worth unpacking, not because it dismisses the genuine risks of advanced AI, but because it shifts the conversation from abstract eschatology to concrete economics. The fear of AI as a civilization-ending force has been amplified by prominent voices in tech and media. Yet the underlying dynamic, according to this analysis, is less about machines waking up and more about power consolidating.

Globalization and neoliberalism, as the source material reminds us, devastated blue-collar manufacturing jobs in the United States and other developed economies. Factories moved overseas. Supply chains were optimized for cost. Unions weakened. Towns that had depended on a single plant or industry were hollowed out. The people doing those jobs were told the change was inevitable, that they needed to retrain, that the future was in services and knowledge work. Many of them never recovered. The social contract was rewritten in fine print, and they were the ones who lost.

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Now, according to the argument in the source material, a similar process is being aimed at white collar workers — and the same billionaires who funded the last wave of automation and outsourcing are funding this one. AI tools that can write code, generate legal documents, produce marketing copy, analyze X-rays, and even handle customer service interactions are being deployed at scale. The phrase “unified class project” is blunt but not inaccurate: the people building and funding large language models and generative AI systems are overwhelmingly the same ultra-wealthy class that pushed for free trade deals, deregulation, and shareholder primacy in the 1990s and 2000s.

The “end of everything” hype serves a useful purpose for this project. If you can convince the public — and policymakers — that AI is a godlike, unpredictable force with the potential to wipe out humanity, then the urgent question becomes “How do we stop the superintelligence?” rather than “Why are a handful of billionaires controlling the tools that will replace millions of jobs?” The biblical framing obscures the mundane, deliberate economic restructuring.

None of this is to deny that AI poses real existential questions. The technology may one day become capable enough to act as an agent that humans cannot control. Safety research is important. Regulation matters. But the people raising the most alarms about the “end of everything” are often the same people who stand to profit the most from deploying these systems. They have a conflict of interest. The fear they generate can give them cover to shape regulation in their favor — or, paradoxically, to argue that because the risk is so extreme, development should be slowed down, which keeps competitors out.

The comparison to blue-collar history is instructive. When factories closed in the 1980s and 1990s, the public was told that the jobs were gone for good and that the economy needed to evolve. That was true, but it was also true that the choices made by corporations and governments were not the only possible ones. Protectionist measures, worker retraining programs, and stronger safety nets could have softened the blow. They were not enacted because the class pushing for globalization had more power than the class losing jobs.

White-collar workers today — software engineers, paralegals, graphic designers, accountants, administrative staff — are in a similar position. Their skills were once seen as safe from automation because they required human judgment. AI is eroding that assumption rapidly. The billionaires funding the AI race have little incentive to stop and ask whether the displacement is being managed fairly. Their goal is to build the most capable system as quickly as possible, capture the market, and deal with the social consequences later — if at all.

The “biblical threat” framing distracts from this power imbalance. It turns a political and economic struggle into a sci-fi movie. The real threat is not that an AI will spontaneously decide to kill everyone. The real threat is that the same economic forces that abandoned blue-collar workers will now abandon white-collar workers, and that the people pulling the levers will again escape accountability. The hype about Armageddon is a convenient smokescreen.

What does this mean for readers? It means being skeptical of grand claims. When an AI expert says the technology could end everything, ask who they work for and what they are selling. When a billionaire warns that AI is too dangerous for anyone but their company to develop, ask whether that warning is about safety or about control. And when you hear the word “biblical,” remember that it is a story we are being told — not a fact that has to be accepted.

The brief provided to SysCall News does not offer names, dates, or statistics. It offers a lens: look at AI not as an alien intelligence but as a tool wielded by the same class that wielded globalization and neoliberalism. That lens is worth applying, especially as white-collar jobs begin to vanish the way factory jobs did. The end of everything may not come. But the end of a particular kind of work and a particular kind of middle-class life is already here.

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Maya Patel

Staff Writer

Maya writes about AI research, natural language processing, and the business of machine learning.

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