--- title: Apple Will 'Watch Everything Burn' When the AI Bubble Bursts description: Tech critic Ed Zitron argues the economics of the LLM industry are fundamentally broken: AI companies sell subscriptions far below actual token costs,... canonical: https://daily.dev/posts/apple-will-watch-everything-burn-when-the-ai-bubble-bursts-njljtgfaw twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Apple Will 'Watch Everything Burn' When the AI Bubble Bursts | daily.dev og:description: Tech critic Ed Zitron argues the economics of the LLM industry are fundamentally broken: AI companies sell subscriptions far below actual token costs,... og:url: https://daily.dev/posts/apple-will-watch-everything-burn-when-the-ai-bubble-bursts-njljtgfaw og:image: https://api.daily.dev/og/posts/NJlJtGfAw.png og:image:alt: Apple Will 'Watch Everything Burn' When the AI Bubble Bursts 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. # Apple Will 'Watch Everything Burn' When the AI Bubble Bursts **[Hacker News](https://daily.dev/sources/hn)** · 10 min read · 1 upvotes · 0 comments ## Summary Tech critic Ed Zitron argues the economics of the LLM industry are fundamentally broken: AI companies sell subscriptions far below actual token costs, enterprises like Uber are finding AI spend hard to justify, and hyperscalers have committed over $1 trillion in capex that requires unprecedented profits to recoup. He predicts the collapse will hit private credit funds, pension funds, Taiwanese ODMs, and semiconductor stocks. On Apple specifically, Zitron says Apple Intelligence was a failed experiment that inadvertently radicalized users against AI, and Apple has since pulled back — spending only ~$14B on AI capex versus competitors' $650B+. He believes Apple will largely watch the AI bubble burst from the sidelines, potentially making opportunistic acquisitions, and suggests the company's real future lies in perfecting the Vision Pro form factor rather than chasing AI. ## 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 215 comments across hackernews (as of 2026-07-28). **TL;DR:** The community is sharply divided on Ed Zitron's AI skepticism: some praise his data-driven financial critique of AI company sustainability, while others dismiss him as a biased contrarian whose numbers are adversarially selected and whose anti-AI brand makes him an unreliable narrator. **Sentiment:** 15% positive · 35% mixed · 50% skeptical **The case for** - Zitron provides extensive sourced numbers (e.g., GPU debt, data center capacity analysis) that critics have struggled to rebut with equally detailed counter-evidence. - His financial thesis — that AI companies carry unprecedented levels of on- and off-books debt relative to revenue — is seen as corroborated by external reporting (e.g., Nikkei SPV data). - His PR/marketing background gives him a useful lens for spotting hype that pure technologists may miss. **The pushback** - Critics argue his sources are adversarially cherry-picked and that no one has the patience to write a full point-by-point rebuttal, which he exploits. - He has built his entire brand on AI contrarianism, making him an unreliable narrator who can't acknowledge positives without undermining his livelihood. - He is not a developer or engineer, and his dismissal of LLM utility for software development is seen by many practitioners as obviously wrong. - He relies on outdated studies (e.g., a July 2025 METR study) while ignoring more recent model improvements. **By community** - hackernews (heated): A deeply polarized thread where defenders of Zitron's financial data clash with critics who call him a crank and anti-AI grifter, with neither side fully conceding ground. **Hottest debate:** Whether Zitron's numbers are genuinely rigorous and hard to rebut, or adversarially selected to support a predetermined anti-AI narrative. **Open questions** - What are the actual average token usage rates for AI subscriptions — is the gym-membership model viable or is it more like MoviePass? - If the AI bubble corrects violently, which companies and industries outside tech will be most affected? - Does Apple's edge-silicon strategy represent genuine foresight or a missed opportunity if AI scales further? **Highlights** > I thought Ed Zitrons argument was just corroborated by Nikkei last Friday with the new report that 1.6 Trillion in SPVs accounts for off-books debt, on top of the $1.4 Trillion of on-books debt that's in these AI companies? The main argument of Ed Zitron is just that. Huge huge amounts of debt that's due "soonish". Every SPV is different but we are fast approaching the point where this all starts to become real. Now I dunno why Ed Zitron feels the need to write 10,000++++ word articles that only says "more leverage than people expect", but that's really the crux of things. > — [dragontamer on hackernews · 1 comments](https://news.ycombinator.com/item?id=49071416) > You're biasing for quantity of argument vs. quality of argument. That's Zitron's MO: writing 10k word rambles that cover 20 topics, ostensibly with tons of links to sourcing, but with most of the sources not actually saying what Zitron implies they do. Nobody has the patience to read a comprehensive point by point rebuttal to any of it, it's just too tedious. You say "numbers don't lie". But they do, when the numbers being presented have been adversarially chosen. You just find numbers (no matter how low quality) that fit the chosen narrative, you throw out the numbers (no matter how high quality) that rebut it. If you're trying to predict the future, you can't afford that of bias. If you're an anti-AI grifter, you can't afford to not have that bias, your entire livelihood depends on only showing things that support the narrative. > — [jsnell on hackernews · 1 comments](https://news.ycombinator.com/item?id=49071614) > You do really need to see the useage numbers for this. Movie pass famously thought they could price movie tickets like gym memberships - I assume they looked at how often the average person watched movies in theaters at the start - but then found out having a subscription to see movies for free / cheap any time you want changed that rate substantially and they ran out of vc money. Having a subscription might make people run agents overnight, or casually generate images for fun, or start more coding projects. The reason gym memberships work is that people like the idea of going to the gym a lot but don't really enjoy actually doing it very much and fall off over time, leaving the gym for the rare person who's really into fitness to use it cheaply. is AI like that where most users will get bored? or is it like movies where they'll try to get their money's worth? > — [nemomarx on hackernews](https://news.ycombinator.com/item?id=49071868) > > Ya, there are already three pure ad hominem comments here with no examples. You should probably understand Thomas' comment in part as a reaction to Zitron attacking Thomas in a pretty low-brow fashion, essentially for saying "hey folks, AI coding works and you should be using it": https://www.wheresyoured.at/how-to-argue-with-an-ai-booster/ The bottom line is that Ed Zitron, like Gary Marcus, built their entire brand on being AI contrarians; they can't say anything positive about it without qualifying it with a more damning negative. There's nothing wrong about having voices like that, but it makes them unreliable narrators. I am apprehensive about AI and its externalities, but I don't want to be caught citing either of them for that reason. > — [skippyfish on hackernews · 2 comments](https://news.ycombinator.com/item?id=49071993) > While that's true - it does not impute Ed's position with greater accuracy or authority. I don't know if Ed is wrong, but I get this vague sense that he is being led on by his emotions. I am sympathetic to some of his criticisms that the enthusiasm and financial commitment has run far ahead what can be delivered. But I don't quite share his intensity over the doom and gloom. There probably will be a correction. It will probably sting. But I don't expect it to be the near wipe-out that Ed's passionate voice seems to steer towards. > — [eej71 on hackernews](https://news.ycombinator.com/item?id=49072344) **Source threads** - [hackernews](https://news.ycombinator.com/item?id=49070427) · 87 points · 215 comments ## Similar posts on daily.dev - [Premium: Notes From The Bubble, Volume 1](https://daily.dev/posts/premium-notes-from-the-bubble-volume-1-r3whblkts) · Where's Your Ed At · 0 upvotes · 0 comments - [Ars Live recap: Is the AI bubble about to pop? Ed Zitron weighs in.](https://daily.dev/posts/ars-live-recap-is-the-ai-bubble-about-to-pop-ed-zitron-weighs-in--qjls6f0kb) · Ars Technica · 0 upvotes · 0 comments - [AI Bubble: I Hope It Pops](https://daily.dev/posts/ai-bubble-i-hope-it-pops-7iij2owz3) · SQL Authority · 0 upvotes · 0 comments - [May Your LLM Have It's Eyes Plucked Out By Crows](https://daily.dev/posts/may-your-llm-have-it-s-eyes-plucked-out-by-crows-0yokm7yts) · Jay Little · 3 upvotes · 0 comments --- Tags: [#ai](https://daily.dev/tags/ai), [#llm](https://daily.dev/tags/llm), [#apple](https://daily.dev/tags/apple), [#openai](https://daily.dev/tags/openai) [View this post on daily.dev](https://daily.dev/posts/apple-will-watch-everything-burn-when-the-ai-bubble-bursts-njljtgfaw) ```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":"Apple Will 'Watch Everything Burn' When the AI Bubble Bursts","url":"https://daily.dev/posts/apple-will-watch-everything-burn-when-the-ai-bubble-bursts-njljtgfaw","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/apple-will-watch-everything-burn-when-the-ai-bubble-bursts-njljtgfaw"},"datePublished":"2026-07-27T15:53:29.392Z","dateModified":"2026-07-28T09:58:44.597Z","description":"Tech critic Ed Zitron argues the economics of the LLM industry are fundamentally broken: AI companies sell subscriptions far below actual token costs,...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/7b1ecb68af60c4089e7c42780a7a82c4?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/7b1ecb68af60c4089e7c42780a7a82c4?_a=AQAEuop","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/apple-will-watch-everything-burn-when-the-ai-bubble-bursts-njljtgfaw","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":1},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"ai,llm,apple,openai","timeRequired":"PT10M"} {"@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":"Apple Will 'Watch Everything Burn' When the AI Bubble Bursts"}]} ```