--- title: After the AI Crash | daily.dev description: A telecom industry analyst argues that an AI crash is likely, citing unsustainable capital expenses requiring ~$2 trillion/year in revenue, circular revenues... canonical: https://daily.dev/posts/after-the-ai-crash-xd0vrzwll twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: After the AI Crash | daily.dev og:description: A telecom industry analyst argues that an AI crash is likely, citing unsustainable capital expenses requiring ~$2 trillion/year in revenue, circular revenues... og:url: https://daily.dev/posts/after-the-ai-crash-xd0vrzwll og:image: https://api.daily.dev/og/posts/XD0VRZwll.png og:image:alt: After the AI Crash og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # After the AI Crash **[Hacker News](https://daily.dev/sources/hn)** · 5 min read · 0 upvotes · 0 comments ## Summary A telecom industry analyst argues that an AI crash is likely, citing unsustainable capital expenses requiring ~$2 trillion/year in revenue, circular revenues among a handful of tech firms, massive debt financing, public pushback against data centers, growing corporate skepticism about AI ROI, diseconomies of scale (each new model costs more than the last), and institutional warnings from Moody's. The post speculates on post-crash consequences: $20 trillion in wiped U.S. wealth, halted data center construction, stranded utility investments passed to ratepayers, and vendor collapses. Drawing a parallel to the 2000 dot-com crash, the author suggests a crash could ultimately be beneficial by forcing AI companies to achieve real efficiency and economies of scale, even if today's players don't survive. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Community take How the wider developer community reacted, aggregated from 1 discussion and 240 comments across hackernews (as of 2026-07-30). **TL;DR:** The HN thread is broadly skeptical and anxious: commenters debate whether an AI investment bubble is about to burst, what that means for the job market (especially for developers), and whether AI progress is truly unstoppable — with significant pessimism about employment prospects and heated disagreement over accelerationism. **Sentiment:** 15% positive · 40% mixed · 45% skeptical **The case for** - Some commenters argue that if AI truly reaches AGI-level capability quickly, society will be forced to confront mass unemployment collectively and enact systemic change, rather than letting a slow displacement go unaddressed. - Commodity inference tokens are already cheap enough that individual freelancers and small teams can run capable models in-house or via open-market providers, reducing dependency on expensive frontier subscriptions. - A rapid AI transition could be analogous to intentional EV adoption — painful but ultimately faster and more deliberate than a slow, unmanaged rollout. **The pushback** - The IT job market is already severely competitive for mid/senior roles, and new graduates are struggling — commenters fear the post-crash landscape will be even worse. - AI is being used as a scapegoat for layoffs without companies providing evidence of actual productivity gains, potentially amounting to market manipulation. - Accelerationist arguments are seen by many as callous abstractions that ignore real human suffering, with historical precedent (1980s steel/coal) showing displaced workers rarely receive meaningful societal support. - Junior developers trained primarily on AI-assisted coding may lack the foundational skills needed to fix the mountains of vibe-coded technical debt that will follow. - Frontier model development requires hundreds of billions in ongoing investment, and if ROI doesn't materialize, training stops and models stagnate. **By community** - hackernews (skeptical): Commenters are broadly pessimistic about the AI bubble and its employment fallout, with sharp internal debate between accelerationists and those warning of real human costs. **Hottest debate:** Whether accelerating AI adoption shortens or worsens the pain of workforce displacement — with accelerationists arguing a fast transition forces collective action, and critics citing historical evidence that displaced workers are simply abandoned. **Open questions** - What concrete evidence exists that AI is actually driving the current wave of tech layoffs versus post-COVID over-hiring corrections? - If AGI-level unemployment materializes, what mechanisms would actually replace money and taxation as organizing principles of society? - Will junior developers who rely on AI tooling be capable of maintaining and debugging the technical debt left by vibe-coded AI-generated codebases? - At what point does AI inference pricing reflect true cost, and will subsidized subscriptions disappear once investment dries up? **Highlights** > When it comes to the AI crash honestly my biggest concern is what is going to happen to the job market during and the years following the crash. Not sure how things are in the rest of the world, but as someone in their early 30s working in the IT industry in Sweden I’ve never seen the market this competitive before, even for mid level and senior roles, and it worries me what the future of employment is going to look like. Maybe those older than me have been through this kind of thing before in 2008-2009 and in the early 2000s but the state of the IT job market in the last year or two has been really concerning to me. Anecdotally I’ve also heard it’s very tough for new graduates these days. > — [\_override on hackernews · 5 comments](https://news.ycombinator.com/item?id=49097455) > I think there's a few things going on and I also believe that in many (if not most, and dare I say ALL) cases AI as an excuse for lay offs is simply a scapegoat. If AI is so great, why aren't you re-training those who are ineffective at using it, and then cutting those who still don't make the cut? If it's this amazing thing for your company, wouldn't it drive revenue up drastically? I wish the SEC would start auditing claims about AI for job cuts, not sure if its within their ball park but there's people claiming this, when they have no receipts, and then stock goes up, if that's not market manipulation, I'm not sure what is. > — [giancarlostoro on hackernews · 1 comments](https://news.ycombinator.com/item?id=49097551) > > Nobody benefits by having less time to adapt Not exactly true. If AI goes from 0 to 100 quickly (human level AGI in a few years), we will all lose our jobs together and will have to confront this fact. There is no ignoring such massive societal elephant in the room. If instead AI improves slowly, lots of people will lose their jobs, but majority will not. Those still with jobs may not be persuaded by the sizable jobless minority to support any societal changes, since they are still OK. This means the jobless will be screwed. > — [Marha01 on hackernews · 1 comments](https://news.ycombinator.com/item?id=49097708) > AI is not going to take away all jobs, and we already know what happens when sectors face mass unemployment from the 1980s, when steel and coal workers were laid off en-masse: nobody came to help Accelerationists want to see their jobs go up in smoke because they think that if enough white collar workers are impoverished, everyone who was formerly poorer than them will chip in to rescue us. This can all be disabused with even a cursory reading over the last 50 years of labour conflicts > — [jbreckmckye on hackernews · 1 comments](https://news.ycombinator.com/item?id=49097786) > What's new is the inversion of who holds these opinions. With the internet/computers, company leadership was often the skeptical voice while small pockets of individuals would push these technologies from the bottom. AI is the complete opposite with skepticism coming bottom-up and push to adopt coming top-down. The last time this (almost) happened was "The Metaverse" which seemed to be getting a lot of push from the C suite. This doesn't mean LLMs will be as useless as the metaverse, but a lot of the biggest proponents of the technology within companies are those most clueless about it which feels like a red flag. > — [AlexandrB on hackernews](https://news.ycombinator.com/item?id=49100738) **Source threads** - [hackernews](https://news.ycombinator.com/item?id=49096953) · 52 points · 240 comments ## Similar posts on daily.dev - [Premium: The AI Data Center Financial Crisis](https://daily.dev/posts/premium-the-ai-data-center-financial-crisis-btrqhfo66) · Where's Your Ed At · 4 upvotes · 0 comments - [AI hype train may jump the tracks over $2T bill, warns Bain](https://daily.dev/posts/ai-hype-train-may-jump-the-tracks-over-2t-bill-warns-bain-cbsmdqolk) · The Register · 2 upvotes · 0 comments --- Tags: [#ai](https://daily.dev/tags/ai), [#venture-capital](https://daily.dev/tags/venture-capital) [View this post on daily.dev](https://daily.dev/posts/after-the-ai-crash-xd0vrzwll) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"After the AI Crash","url":"https://daily.dev/posts/after-the-ai-crash-xd0vrzwll","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/after-the-ai-crash-xd0vrzwll"},"datePublished":"2026-07-29T13:55:05.854Z","dateModified":"2026-07-30T11:08:10.480Z","description":"A telecom industry analyst argues that an AI crash is likely, citing unsustainable capital expenses requiring ~$2 trillion/year in revenue, circular revenues...","image":"https://media.daily.dev/image/upload/s--ZrL_HSsR--/f_auto/v1722860399/public/Placeholder%2006","thumbnailUrl":"https://media.daily.dev/image/upload/s--ZrL_HSsR--/f_auto/v1722860399/public/Placeholder%2006","isAccessibleForFree":true,"articleSection":"Hacker News","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Hacker News","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/hn","url":"https://daily.dev/sources/hn"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/after-the-ai-crash-xd0vrzwll","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"ai,venture-capital","timeRequired":"PT5M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Hacker News","item":"https://daily.dev/sources/hn"},{"@type":"ListItem","position":3,"name":"After the AI Crash"}]} ```