Search
Building and applying AI is, at its core, a business.
When corporate executives sit in boardrooms signing off on hundreds of thousands or even millions of dollars in monthly Copilot licenses or customized large model projects, they harbor no romantic blueprints for human technological progress. To justify this massive new expenditure to penny-pinching Wall Street analysts in the next quarter’s earnings call, there is usually only one flexible variable on the spreadsheet: labor costs.
This corporate digital transformation, packaged as “cost reduction and efficiency enhancement,” is essentially a precision purge targeting the white-collar middle class. Once the cost-cutting calculations made by micro-level enterprises for the sake of attractive financial reports evolve into a society-wide macro operation, a perfect storm that threatens to upend the very foundations of capitalism quietly takes shape. To see through the underlying logic of this storm, we must first understand the foundation upon which modern consumer society is built.
Henry Ford’s Blind Spot and the Birth of the Middle Class
In 1914, American automobile magnate Henry Ford made a decision that shocked the industry: he doubled the minimum daily wage of Ford factory workers to $5 in one fell swoop, while simultaneously shortening their working hours.
Traditional capitalists of the time harshly criticized him as a madman. In the mindset of classical economics, labor was purely a production cost; the lower it was squeezed, the higher the profits. But Ford saw through to an incredibly cruel reality: “If my workers are so poor they can’t even afford to eat, who will buy the cars rolling off my assembly line?”
Ford’s decision inadvertently untied the previously severed knot between “production” and “consumption.” The unprecedentedly high wages instantly armed blue-collar factory workers with disposable purchasing power. They transformed from mere “tools of production” selling their physical labor into “consumers” in the end market.
This business logic, later known as “Fordism,” didn’t just sell cars; it directly nurtured a massive and stable middle class. This was an unspoken social contract between capital and labor: enterprises provide jobs and wages, the salaried class provides labor, and then uses the money earned to consume, pay mortgages, and build families. Enterprises earn profits from mass consumption, then further expand and hire more people.
Modern society’s real estate, credit card systems, and retail landscapes are all built upon this “Ford Contract.” Over the past century, regardless of how many financial tsunamis have occurred, the global economic system has relied on this underlying logic to operate and heal itself.
However, as generative AI descends with a trillion-dollar capital frenzy, this perfect cycle is being ruthlessly severed by an invisible blade.
The Arrogance of “This Time is No Different”: The Human Brain with Nowhere Left to Retreat
Every time society begins to panic that AI will trigger a wave of unemployment, the tech optimists in Silicon Valley condescendingly toss out the “Luddite Fallacy” to pacify the masses. They argue: the 19th-century workers who smashed textile machines were wrong, the steam engine didn’t starve humanity; computers didn’t empty offices, but rather created high-paying jobs like programmers and data analysts.
Their conclusion is always the same boilerplate: “Technology will indeed eliminate old jobs, but it will inevitably create more new ones. This time is no different.”
This rhetoric is the most dangerous arrogance in today’s tech world. Because they deliberately evade the fundamental difference in the “dimension of substitution” between past industrial revolutions and this current AI revolution.
Past technological revolutions, whether driven by steam, electricity, or robotic arms, invariably replaced human “muscle power” and “repetitive calculation.” When machines were stronger than you and Excel calculated faster than you, humans still possessed an irreplaceable, absolute high ground: cognitive and decision-making abilities. Obsolete typists could learn how to use software for creative design or business strategy analysis. Humans always had the leeway to retreat to higher-level cognitive domains that required flexibility and empathy.
But the most chilling aspect of generative AI is that it is directly storming humanity’s final fortress.
When AI can write highly provocative marketing copy in seconds, generate images rivaling commercial photography, and even write complex code completely devoid of logical flaws, it is directly draining human “brainpower.”
Imagine a 40-year-old senior professional burdened with a heavy mortgage, or a mid-level programmer with a decade of backend architecture experience being replaced by AI. What do you tell them to pivot to? “Go learn to be an AI Prompt Engineer!” This is an absolute, out-and-out lie. The AI Agents that tech giants are frantically advancing simply no longer require humans to bother inputting tedious prompts; they are even better than you at deconstructing your vague intentions.
When the marginal cost of “using the brain” drops infinitely close to zero, humanity will face an unprecedented, total rout in the labor market. Because we have no higher dimension left to retreat to.
Zero-Sum Games and the “Automation Paradox”
If we were in a golden age of economic explosion and constant expansion of emerging markets, the productivity leap brought by AI might truly be a gospel. Employee efficiency increases tenfold, the company takes on tenfold the orders, and everyone is happy. But the reality is that today’s global economy bid farewell to high growth long ago, entering a cruel zero-sum game.
A project that originally required five mid-level designers at a multinational advertising conglomerate a week to complete can now, after introducing top-tier AI models, be finished in a single day by one director paired with AI. Since the total volume of orders hasn’t magically increased fivefold because of the introduction of AI, the most capital-rational action for the boss is, of course, to immediately fire the other four designers.
In economics, this is called the “Fallacy of Composition.” For a single enterprise, laying off workers and introducing AI indeed maximizes profits, making the financial statements look stunning. But what if every multinational corporation on Wall Street and every small-to-medium enterprise follows suit?
This is the most absurd “Automation Paradox.” Companies swap out white-collar workers for algorithms to increase profits, but they completely forget that these ousted middle-class individuals are the very bedrock supporting the entire modern consumer society. They are the ones paying for monthly Netflix subscriptions, the ones lining up for the newest iPhone, the main force spending at high-end restaurants on weekends. When this demographic loses its stable, high-paying income, society’s engine of consumption will declare a stall.
The Backlash of Computing Power and the Macroeconomic Avalanche
Top-tier engineers can write the world’s most complex neural network architectures, but they seem to have forgotten the most basic laws of physics: AI models know how to code, draw, and analyze big data, but an AI will absolutely never go downstairs to buy a coffee at Starbucks, it won’t go to a bank to apply for a 30-year mortgage, and it certainly won’t buy a Tesla.
For the real economy to turn, it always relies on the endless demand generated by living, breathing “flesh and blood.” When the vast white-collar class faces structural unemployment or is forced to accept severe pay cuts due to the proliferation of AI, the overall “aggregate demand” of society will suffer an avalanche-like collapse.
This is an irreversible chain reaction:
Companies continuously lay off workers to pay for expensive AI licensing fees. The massive wave of unemployment and pay cuts drastically freezes private consumption, and the middle class begins to slash all non-essential spending. Consequently, car sales stagnate, restaurants close down, and brands discover that no one is clicking on those highly targeted, AI-generated ads anymore.
The revenues of downstream brick-and-mortar businesses and internet companies plummet to rock bottom. To survive in the quagmire of shrinking demand, they can only wield the axe to cut expenses even further. In the end, when even survival becomes a question for enterprises, the very first thing they will do is unhesitatingly sever those multi-million dollar AI corporate contracts with Microsoft and Google.
This bone-chilling cold will ultimately flow backwards, up the funnel of the industry chain. When the downstream no longer has the cold, hard cash to pay cloud fees, Microsoft and Google will no longer be able to explain to Wall Street why they must maintain those data centers swallowing the electricity of an entire city every single day. Their GPU orders to Nvidia will naturally be slashed instantly. At that exact moment, the bubble of the century, inflated by trillions of dollars in computing power, will undergo a chain-reaction burst in an extremely short span of time.
Under the extreme myopia and greed of capital, this automation revolution—which was supposed to drive human progress—has morphed into a self-devouring roulette of death. As tech giants attempt to drain the profits of the entire society using their absolute computing supremacy, they are simultaneously severing the very lifelines that nourish their own growth with their own hands.
If what AI ultimately brings is not a geometric expansion of total economic output, but merely the wholesale transfer of the salaried class’s hard-earned money onto the balance sheets of a few computing oligarchs, then the endgame of this carnival will absolutely not be a utopia, but a bottomless macroeconomic depression.
(To be continued)
Proceed to Part IV: The Aggregate Demand Avalanche and the Deflationary Spiral Devouring Capital
All articles and images on this website are original works by the author and are copyrighted. Without permission, please do not arbitrarily reproduce, copy, or use for commercial purposes; if you wish to reproduce, please [contact this site] in advance to obtain authorization.
Disclaimer: The content of this article is for academic discussion, ideological exchange, and reference purposes only. The philosophical views mentioned herein do not represent the stance of this website or its authors, nor do they constitute any psychological, financial, or life coaching advice. Readers are solely responsible for their own choices and lifestyles. This website and its owners shall not be held liable for any direct or indirect consequences arising from reading this article.
