AI growth or collapse

summarize: Charles Hugh Smith's Substack Charles Hugh Smith's Substack Is AI a Catalyst for Growth--or For Collapse? Yes, AI is a catalyst. But for what is not yet knowable. Charles Hugh Smith Nov 20, 2025 The current narrative holds that the big problem we need to solve is conjuring up cheap energy to power AI data centers. Fortunately for us, the solutions are at hand: building modular nuclear power plants at scale and tapping North America’s vast reserves of cheap natural gas. Problem solved! With cheap energy to power all the AI data centers, we’re on a trajectory of fantastic growth of all the good things in life. Let’s consider the implicit assumptions buried in this narrative. 1. The unspoken assumption here is AI will solve all our problems because it’s “smart.” But this assumes the problems are intellectual puzzles rather than self-reinforcing, self-destructive structures fueled by corruption and perverse incentives embedded in the system itself. 2. The assumption is that if we replace human workers with apps and robots, that will automatically generate Utopia. But this is based on a series of baseless, pie-in-the-sky assumptions about human nature and the nature of social and economic structures. 3. The assumption is that being “entertained” by staring at screens all day is the foundation of human fulfillment and happiness, and so getting rid of human work will usher in Nirvana. The reality is humans are hard-wired to find fulfillment in purposeful, meaningful work that is valued by others. Staring at “entertainment” on screens all day isn’t fulfillment, it’s deranging and depressing. This is human nature in a nutshell: Idle hands are the devil’s workshop. 4. Another assumption is that every technological revolution generates more and better jobs by some causal mechanism. But there is no law of nature that technology inevitably creates more jobs than it destroys, or that the resulting jobs are more rewarding. That recent history supports this idea doesn’t make it a causal law of nature. By its very nature, AI destroys jobs while generating few replacement jobs. The handful of top AI programmers are paid (or promised) millions of dollars; the industry doesn’t need more than a handful of top designers because AI can generate its own conventional coding. 5. This narrative assumes AI will be immensely profitable and the profit motive will push its limitless expansion. But once again, there are no laws of nature that every new technology is inevitably immensely profitable just because it’s a new technology. If the projected use-value doesn’t materialize, the investment in the new tech is mal-invested--a stupendous waste of capital chasing a delusional pipe dream. Some percentage might generate some use-value, but this use-value may be obsoleted long before the massive initial investment pays off. 6. Even if the new technology continues expanding, the speculative bubble can deflate 80%. This is the lesson of the dot-com era: that the Internet continued to expand didn’t mean the speculative bubble continued inflating: the speculative bubble is not the same thing as the actual use-value in the real world. The Internet continued expanding even as the dot-com stock bubble collapsed. In other words, this is the best-case scenario: if the use-value of AI is questionable, then the losses can approach 100%. Here’s how this feels in real-time: 7. Perhaps the greatest assumption being made is that there is some law-of-nature inevitability in AI’s eventual supremacy. From the perspective laid out in What We’ve Lost, AI’s influence on systemic problems is zero because AI can’t reverse moral decay, and it actually reinforces destructive concentrations of capital and power in oligarchic cartels. In other words, AI is a force not just of disruption (i.e. creative destruction) but of disorder, for its promoters are not accountable for its consequences, which are already visibly corrosive and potentially disastrous. 8. Every trend and every technology reaches an extreme version of its initial state. This extreme can be transformative--but not necessarily in the way proponents anticipate. AI could also be a catalyst for collapse, as the mal-investment on a vast scale bleeds the system of capital while generating consequences which destabilize a system already on the verge of disorder due to extremes of wealth-income inequality and unaffordability. Put another way: AI is the ultimate projection of disruptive technology, but there are no guarantees that its consequences won’t catalyze systemic collapse. 9. AI boosters assume the public will either embrace or be forced to accept their AI dominance. That there could be pushback against AI supremacy that itself catalyzes disorder leading to collapse doesn’t enter their blinkered worldview. Here is how the public may well view AI oligarchs: 10. Technocrats love to declare victory because their models indicate victory is inevitable. But models aren’t reality, as things get left out of models without the model builders being aware of what was left out. Consequences generate second-order effects that aren’t included in the projections. Things always look great when simplified into a chart based on projections and data selected to support the shared delusion. Yes, AI is a catalyst. But for what is not yet knowable. Never mind, here are AI’s boosters presenting their version of the “Five O'clock Follies.” My new book Investing In Revolution is available at a 10% discount ($18 for the paperback, $24 for the hardcover and $8.95 for the ebook edition) through November. Introduction (free) Disclosure: As an Amazon Associate I earn from qualifying purchases originated via links to Amazon products in my Substack posts. Subscribe to Charles Hugh Smith's Substack Hundreds of paid subscribers Choosing economic self-reliance, navigating global instability and degrowth, managing burnout, invest in yourself. Type your email... Subscribe By subscribing, I agree to Substack's Terms of Use, and acknowledge its Information Collection Notice and Privacy Policy. 33 Likes ∙ 4 Restacks Discussion about this post Write a comment... BJ 16h So called "AI" does have some valid use cases. Text to image text to video and some of the basic agentic systems have merit. But I'd not trust them with mission critical tasks. But those are rather narrow applications. Are they "worth" the hundreds of billions already thrown at it? Not in my opinion. But that malinvestment pales when compared to the trillions that have been invested in niche non base load power sources like wind and solar. Molten salt thorium reactors and SMR's on the other hand would provide safe effective base load power for decades. But that would run counter to the carefully crafted hysteria about all things nuclear. One of the under laying principles of that hysteria is LNT. Like so much from government it is worse than useless. https://www.youtube.com/watch?v=gzdLdNRaPKc&t=9s Like (1) Reply Share david 16h "Yes, AI is a catalyst. But for what is not yet knowable." AI gets far more attention and hype relative to its actual size in the $100+ trillion world economy. AI is not and will not be a catalyst for anything major. in my opinion. Like (1) Reply Share The Big Shining Lie: We're Better Off Now--No, We're Poorer, Much Poorer This is proof-positive we're not just poorer now than we were 40 years ago, we're much, much poorer. Dec 11, 2024 • Charles Hugh Smith 183 8 38 Is the World Becoming Uninsurable? You are receiving this email because you are a subscriber to Charles Hugh Smith / Of Two Minds. Jan 11 • Charles Hugh Smith 77 12 11 Is DeepSeek a Sputnik Moment? I'm not sure that "software will eat the world," but it could consume the stock market bubble in a single gulp. Jan 26 • Charles Hugh Smith 117 19 17 Ready for more? Type your email... Subscribe © 2025 Charles Hugh Smith Privacy ∙ Terms ∙ Collection notice Start your Substack Get the app Substack is the home for great culture

Here’s a tight, clear summary of the piece: --- ### **Summary of Charles Hugh Smith’s “Is AI a Catalyst for Growth—or for Collapse?”** Charles Hugh Smith argues that although AI is certainly a catalyst, **its ultimate effects—growth or collapse—are unknowable and likely far less utopian than its boosters believe**. He breaks this down by exposing ten flawed assumptions driving today’s AI narrative: 1. **AI can’t fix systemic decay.** The belief that a “smart” tool can solve societal problems ignores that many problems stem from corruption, incentives, and entrenched structures—not a lack of intelligence. 2. **Replacing human labor won’t create utopia.** The idea that automating work automatically improves society rests on naive assumptions about human nature and social systems. 3. **Humans need meaningful work.** Screen-based “entertainment” cannot substitute for purposeful activity; removing work risks depression and social deterioration. 4. **Technology doesn’t guarantee net job creation.** There is no natural law that new tech creates more or better jobs than it destroys. AI may create very few new roles. 5. **AI profitability is not inevitable.** Massive investment doesn’t guarantee value; use-cases may be overhyped, leading to malinvestment and capital waste. 6. **Speculative bubbles differ from real utility.** As with the dot-com crash, AI’s bubble could collapse even if the technology continues to expand. 7. **AI cannot reverse moral or institutional decline.** It may worsen inequality and strengthen oligarchic power structures. 8. **AI’s extreme trajectory could trigger collapse.** Massive malinvestment and social destabilization could push an already fragile system toward breakdown. 9. **The public may resist AI dominance.** Pushback against concentrated AI power could introduce new forms of disorder. 10. **Technocratic models ignore real-world complexity.** Forecasts look neat because they exclude unpredictable second-order effects. **Conclusion:** AI is undoubtedly transformative, but **its impact may be as likely to accelerate systemic instability as to drive growth**. Its boosters, blind to unintended consequences, may be promoting a force that contributes to collapse rather than prosperity. --- If you want, I can condense it further, rewrite it in your writing persona, or turn it into a persuasive meme-ready one-liner.

write a one sentence refutation of everything

All of these arguments collapse once you accept that technology isn’t destiny—**it’s human choices, incentives, and governance that determine whether AI becomes a tool for progress or a tool for decay, not the technology itself.**