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AI Data Centers Are Not the Railroads of Today June 1, 2026
The AI boom shares all the risk profiles of previous speculative manias but lacks society-wide benefits while generating fast-metastasizing negative consequences and costs.
The idea that the current bubble in AI data centers is an echo of the railroad-construction bubble of the 1870s is appealing--but only half-right. The completion of the first transcontinental railroad in late 1869 sparked a speculative mania of raising capital to build railroads, which were seen as "can't lose" investments in a technology that lowered transport costs from $1 to ten cents. But not all routes had the potential to become profitable, and the resulting collapse of the railroad bubble devastated the developed-world economies, triggering a deep economic downturn from 1873 to 1879 that was called "The Great Depression" at the time (or "The Long Depression"). The term for speculative frenzies channeling vast sums into investments with difficult-to-assess risk profiles is mal-investment, and mal-investment on a large scale triggers financial panics and economic depressions in a well-understood feedback loop. Money invested in digging a mine that doesn't yield any gold can't be recovered. That capital is gone. There is an opportunity cost to every investment: that capital could have been invested in something else that was more productive than the speculative bet on something with unclear risks and payback. As the scale of losses become apparent, credit tightens and the pool of capital available shrinks. Short-term loans that can't be rolled over into longer duration loans trigger bankruptcies which quickly lead to bank runs (financial panics) and layoffs as businesses close. This decline in wages, revenues and the velocity of money is self-reinforcing, and the recovery process--being both financial and psychological--takes years. The parallels with the AI speculative investment mania are obvious. Just as any railroad was viewed as guaranteed to be immensely profitable because railroads generated enormous efficiencies that reduced costs, all AI is guaranteed to be immensely profitable because AI generates enormous efficiencies that reduced costs. But in the real world, use cases for specific railroads and AI applications are stretched along a spectrum which isn't visible in the early stages of a speculative boom. Individual use cases don't automatically guarantee an entire class of use cases will be successful. That one railroad--or application of AI--profitably reduced costs does not necessarily extend to all railroads or AI applications. Nobody wants to wait around for the long process of sorting which use cases are actually beneficial and which are mal-investments, as the big money is made by making big bets in the early days. Human greed is a remarkable force, especially when combined with self-serving hype and the euphoria of the herd running. In the current confluence of greed, hype and euphoria, the possibility that the inevitable aftermath of vast mal-investment is a Great Depression doesn't exactly resonate. AI isn't a railroad, it's the most amazing force in the Universe, etc. This is Wetware 1.0 in action: the psychology of speculative frenzies doesn't change, and so here we are--again. Those are the parallels of the railroad mania of the 1870s and the current AI mania. But that's only half the story. Railroads did dramatically lower costs, turning unprofitable ventures into profitable ventures not by reducing production costs but by reducing transport costs, which prior to railroads might equal production costs. The differences between railroads and LLM / generative AI are significant. While many railroads went bankrupt when the bubble burst, those that actually served expanding markets were eventually put to use as the tracks were still useful many years after being laid. A new locomotive type might enter service decades later, but the tracks remained useful and valuable for decades--with proper maintenance. The rails were not obsoleted every few years, nor did the the entire rail lines have to be replaced every few years. AI is not permanent. It is constantly being obsoleted. A new class of lower-power consumption chips could obsolete the current class of AI chips, requiring a mass replacement of the entire processing foundation of AI. Innovations in software could reduce the processing demands, turning existing data centers into expenses rather than profit generators. AI software that users download onto their own computers negates the need for "renting" data centers (i.e. buying processing power with tokens) by generating models from the user's own data. These are just a few potential forces undermining the utility, lifespan and profitability of the current build-out of data centers. While the cost structure of railroads were relatively straightforward, the costs of AI are complex and difficult to assess as initial costs are not total ownership costs, as maintenance expenses are still unfolding and future costs of resources and energy are trending higher. While the cost reduction and efficiency benefits of depending on AI are as yet unclear, the costs of sorting "good AI" from "bad AI" are already mounting as real-world expenses. The market continues to underestimate the AI slop problem and what it means for enterprise adoption and spending. 
Create enough hallucinated legal arguments, flawed engineering calculations and backdoor-ridden code, and the slop vats fill faster than our capacity to tell good work from bad, writes Tim Harford. How can we tell good AI from bad? (Financial Times) Cedar Owl recently published a comprehensive overview of the Total Costs of Ownership of AI / Robotics and concluded they may exceed the costs of human employees. Will the cost of an AI Robot be higher than the salary of a Human Employee? AI Robot vs. Human Worker Total Cost of Ownership (cedarowl.substack.com) "AI didn't remove cost--it changed where the cost lives." As for profitable use cases, it's too soon to tell. Individual cases don't necessarily scale to the entire sector or economy. The hype is AI is scalable and applicable everywhere, but this isn't what real-world experience is finding. Unlike railroads, whose cost-reduction benefits were immediate and measurable, the sum total of AI benefits is not just unclear but potentially negative. The negative effects of AI slop and malicious applications are already visible but the full consequences of their expansion cannot yet be determined. Recent polls reveal a profound skepticism in the younger generations whose lives will be most impacted by AI. Gen Z Is Using A.I., but Doesn't Feel Great About It. Only 15 percent said they saw A.I. as a net benefit. 
The structural limits of AI are equally visible but the full consequences of these multi-factor limitations cannot yet be determined. A recent article in Scientific American summarized one key limitation: the illusion that AI is "thinking," "understanding" and "reasoning": AI and human intelligence are drastically different--here's how: "They are extraordinarily powerful tools when used as what they are: engines of linguistic automation, not engines of understanding. They excel at drafting, summarizing, recombining and exploring ideas. But when we ask them to judge, we unintentionally redefine judgment--shifting it from a relation between a mind and the world to one between a prompt and a probability distribution." There are many other structural limitations whose nature limits "quick fixes." "To grow skills, people need to go through hardship. They need to develop the muscle to think through problems," he said. "How would someone question if AI is accurate if they don't have critical thinking?" "This is the contradiction that has many AI boosters talking out of both sides of their mouths: The use of coding agents is actively diminishing the very skills needed to effectively manage the coding agents." (via Manoj S.) CEOs are quietly realizing the AI replacement plan has a problem. Two problems, actually. "One: the token costs for running AI agents are now exceeding what they were paying the employees they fired. Two: when the tokens run out, the AI stops. Just stops. No continuity. No workaround. Just a spinning wheel where your workforce used to be." AI coding frontloads one form of productivity by backloading the entire system with higher maintenance costs down the line. These costs are not visible in the initial phase, and by the time they're piling up, it's too late to reverse these structural costs. 
The sums invested in AI data centers--and committed to planned data centers--are on a large enough scale that even the most robust economy is vulnerable to disruption when the revenues needed to justify these extraordinary sums fail to materialize and the total operational costs and costs of ownership become measurable. 
Matt Stoller offered an apt analogy of AI data center capital investments: But in a sense, the entire AI narrative is a bit like selling huge amounts of picks and shovels as everyone rushes to the mines, and then betting there will be gold when they all start digging. Much of the stock market is made up of investor speculation that pick and shovel companies are about to hit the motherlode. But we don't actually know how much gold there is, or even if there is any gold at all. So far, every powerful and rich person has insisted that there's so much gold we can't imagine it all, and anyone who thinks otherwise is a Luddite Marxist loser." Perhaps most importantly, once we subtract the hype, there is no evidence-based answer to the question: will our society / the public benefit from AI? Or are all the proposed benefits of reducing costs and generating innovations concentrated in the hands of AI's owners and corporate users? Cui bono--to whose benefit? What's being touted as beneficial to all--equivalent to railroads--is at this point only beneficial to owners and monopolistic-cartel corporations, the very asymmetry that is fast undermining the foundations of our social and economic systems. Put another way: is AI actually solving the core problems undermining our society and economy--systemic asymmetries of costs, wealth, power, agency and opportunity--or is AI adding new problems--brain rot, dependence on black box systems owned by a handful of tech corporations, AI slop, deepfakes, and a tsunami of malicious AI? For all these structural reasons, AI data centers are not the railroads of today. The AI boom shares all the risk profiles of previous speculative manias but lacks society-wide benefits while generating fast-metastasizing negative consequences and costs. My 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). Introduction (free) Become a $3/month patron of my work via patreon.com Subscribe to my Substack for free My recent books: Disclosure: As an Amazon Associate I earn from qualifying purchases originated via links to Amazon products on this site. THE REVOLUTION TRILOGY: Investing In Revolution Ultra-Processed Life The Mythology of Progress Systemic Problems/Solutions Investing In Revolution (2025) Introduction (free) The Mythology of Progress (2024) Introduction (free) Global Crisis, National Renewal (2021) Introduction (free) Money and Work Unchained (2017) Introduction (free) A Radically Beneficial World (2015) Introduction (free) What You Can Do Yourself Ultra-Processed Life (2025) Introduction (free) Self-Reliance in the 21st Century (2022) Introduction (free) When You Can't Go On: Burnout, Reckoning and Renewal (2022) Introduction (free) Get a Job, Build a Real Career and Defy a Bewildering Economy (2014) Intro (free) Novels The Adventures of the Consulting Philosopher Intro (free) The Secret Life of an Asian Heroine First chapters (free) Become a $3/month patron of my work via patreon.com. Subscribe to my Substack for free Investing In Revolution print $18, (Kindle $8.95, Hardcover $24 (145 pages, 2025) 
Only now do we see that we've been investing in revolution for decades--not the revolutions we thought we were investing in, revolutions in technology and finance, but in the social revolution made inevitable by the extremes that we've reached in our single-minded pursuit of private gains.
The pendulum that we've pushed to an extreme will swing to the opposite extreme, and the artifices that have propped up a facade a stability for decades will accelerate the disorder rather than reverse it. We now stand at the point of decision, and this book offers a path to a reformation and renewal that serves the shared interests of us all, not just the few. Introduction (free) Ultra-Processed Life print $16, (Kindle $7.95, audiobook, Hardcover $20 (129 pages, 2025) 
Ultra-Processed Life: the substitution of a synthetic, commoditized, very profitable facsimile for what was once authentic.
Ultra-Processed Life is my term for everything that is analogous to ultra-processed snacks: attractively marketed, instantly alluring, easy to consume, addictive by design, tasty in the moment but harmful over time, its origins a black box of unknown processes, the brightly colored product bearing no resemblance to the real-world ingredients, an idealized form of what is inherently imperfect, untethered from the natural world. As with many others, the catalyst for my exploration was a life-threatening medical crisis that did not have a specific cause. This led me to wonder if our entire way of life is like an ultra-processed snack: tasty but not healthy, edible but stripped of the nutrients we need to be healthy, addictive by design. Introduction (free) The Mythology of Progress, Anti-Progress and a Mythology for the 21st Century print $20, (Kindle $9.95, Hardcover $24 (215 pages, 2024) audiobook, Read the Introduction and first chapter for free (PDF) 
What if the policies to accelerate growth are no longer working because our fix for every problem--growth at any cost--is failing? We're told Progress is inevitable as a result of technology, but everyday life is getting harder, not easier--the opposite of Progress, what I call Anti-Progress.
What if the real source of the unraveling is far deeper than economics or politics? What if the problem is what we see as the inevitable destiny of humanity--Progress--is actually a modern mythology, disconnected from the real-world consequences of growth for growth's sake? We indignantly reject that Progress is a mythology, but our need for mythology hasn't gone away because we've mastered technology; we've created a modern mythology of technology that is heedless of its own consequences. To truly progress, we need a new mythology aligned to 21st century realities. Read the Introduction and first chapter for free
Recent entries: AI Data Centers Are Not the Railroads of Today June 1, 2026 Could Instability Trigger Radical Change In Your Life? May 28, 2026 Why Is Consumer Sentiment at Record Lows? May 27, 2026 The Overstuffed Freezer Analogy May 25, 2026 When Unfairness Is Systemic, the Consequences Are Flight, Resistance, Revolt May 20, 2026 Inequality, AI and Digital Life Are Undermining Society May 19, 2026 We've Optimized Fragility, Failure, Denial--and Rage May 18, 2026 Remember: In a Crisis, Everyone Will Consider Themselves 'The Good Guys' May 13, 2026 Chaos Unleashed: When "Irrational" Makes Perfect Sense May 12, 2026 When US Treasuries Play a Reverse Card May 11, 2026 What Would Be Truly Bullish? Actually Fixing What's Broken May 6, 2026
Recession and Revolution: Our Experience Isn't a Model or System
May 4, 2026
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Smith's Neofeudalism Principle #1: If the citizenry cannot replace a kleptocratic authoritarian government and/or limit the power of the financial Aristocracy at the ballot box, the nation is a democracy in name only. The Smith Corollary to Metcalfe's Law (The Network Effect): the value of the network is created not just by the number of connected devices/users but by the value of the information and knowledge shared by users in sub-networks and in the entire network. (CHS, 4/6/16) My Credo of Liberation: I no longer care if the power centers of our society--the distant, fortified castles of our financial feudal system--are changed by my actions, for I am liberated by the act of resistance. I am no longer complicit in perpetuating fraudulent feudalism and the pathology of concentrated power. I no longer covet signifiers of membership in the Upper Caste that serves the plutocracy. I am liberated from self-destructive consumerist-State financialization and the delusion that debt servitude and obedience to sociopathological Elites serve my self-interests. (Thank you, Klaus-Peter L., for reminding me) "We've become a culture of excuses rather than solutions: solutions always require sustained effort and discipline." (CHS 4/9/16) "Fraud as a way of life caters an extravagant banquet of consequences." (CHS 4/14/16) "Creativity = problem solving = value creation." (CHS 6/4/16) "Truth is powerful because it is the core dynamic of solving problems." (CHS 7/21/17) "We live in a system of human emotions that masquerades as a science (economics)." (CHS 1/1/18) "Always remember, your focus determines your reality." (George Lucas) "Diversity is for poor people. Sameness is for the successful." (GFB) "When power dissipates suddenly, it dissipates completely." (CHS 7/14/19) "Disobedience is the true foundation of liberty. The obedient must be slaves." (Henry David Thoreau) "Markets cannot price in the value of non-monetized natural assets such as diverse ecosystems." (CHS 7/14/19) "Magical thinking isn't optimism, it is folly." CHS 1/3/22) "Tune in (to self-reliance), drop out (of hyper-consumerism and debt-serfdom) and turn on (to relocalizing capital and agency)." (CHS 1/5/22) "The path to everything you desire starts here: like yourself as you are right now." (CHS 11/20/22) "There are only two signals: how many essentials you produce and share and if you're consuming less with better results. Everything else is noise." (CHS 12/17/22) "Liberation is no longer needing any confirmation or feedback from others or the world for one's sense of self. Wealth, fame, recognition, admiration, praise, prestige, approval, sainthood, martyrdom, success: none are needed, none are desired." (CHS 12/26/22) "When fame, wealth, prestige, status and glory are out of reach, you're free to pursue other more valuable things." 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CHS (7/18/25) "My definition of self-reliance: the less you need, the easier it is to get what you need." CHS (7/26/25) "Mastery requires reading and doing." CHS (7/28/25) "The replacement of authentic value, quality, agency, choice, trust, legitimacy and experience with self-serving facsimiles is the key dynamic of Ultra-Processed Life, my term for the present-day human condition." CHS (8/12/25) "Ultra-Processed Life replaces an authentic experience with a synthetic, simulated, commoditized, highly profitable version that's superficially attractive but destructive over the long term." CHS (8/12/25) "What we see everywhere is the replacement of authentic things--including democracy--with synthetic facsimiles designed to maintain the illusion of choice and value." CHS (8/12/25) "Sometimes certainty is the enemy we don't even see and uncertainty is our most faithful ally." CHS (9/20/25) "Sanitized, homogenized, synthesized Ultra-Processed Life isn't more fun; it's just more profitable." CHS (4/6/26) "AI is ultra-processed cognition." CHS (4/6/26) |
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