# Elice Crashes 32% and AI Funding Fears Return _Elice plunged 32% in Seoul in the worst sizable IPO debut on record, reigniting fears about levered AI infrastructure spending._ **Published:** 2026-10-20 **Source:** https://www.startuphub.ai/ai-news/public-companies/2026/elice-crashes-32-and-ai-funding-fears-return --- [Bloomberg Technology](https://www.youtube.com/watch?v=fLU4DoalD8w) led with a brutal debut: South Korean data center firm Elice plunged 32% on its first day, the worst opening for a sizable IPO on record in the country, and host Ed Ludlow said the drop is stroking fresh fear about the billions poured into AI infrastructure. Elice IPO FlopsDriverFrom the articleBloomberg Technology led with a brutal debut: South Korean data center firm Elice plunged 32% on its first day, the worst opening for a sizable IPO on record in the country, and host Ed Ludlow said the drop is stroking fresh fear about the billions poured into AI infrastructure.Revenue GapCoreFrom the article 3 mentionsBloomberg reporter Peter Elstrom argued the Elice stumble fits a broader buildout worry, while JP Morgan Asset Management strategist Stephanie Aliaga pointed to tighter financing for levered AI names and a stark math problem: roughly $7 trillion in expected AI spending through 2030 against about $3.6 trillion in expected revenue, a gap she said points to write-downs ahead.AI Funding FearsDriverreigniting fears about levered AI infrastructure spending and broader buildout worryFrom the article 2 mentionsAliaga added that Goldman Sachs just upgraded CoreWeave on the view that distress fears were overdone, though CoreWeave credit yields still sat near 15% from 13% twenty days ago, and she noted AI enablers should drive roughly 75% of earnings growth next year.Write-downs AheadOutcomethis significant gap points to potential write-downs in the AI sectorFrom the articleBloomberg reporter Peter Elstrom argued the Elice stumble fits a broader buildout worry, while JP Morgan Asset Management strategist Stephanie Aliaga pointed to tighter financing for levered AI names and a stark math problem: roughly $7 trillion in expected AI spending through 2030 against about $3.6 trillion in expected revenue, a gap she said points to write-downs ahead.Elice IPO FlopsDriverFrom the articleBloomberg Technology led with a brutal debut: South Korean data center firm Elice plunged 32% on its first day, the worst opening for a sizable IPO on record in the country, and host Ed Ludlow said the drop is stroking fresh fear about the billions poured into AI infrastructure.leads toAI Funding FearsDriverreigniting fears about levered AI infrastructure spending and broader buildout worryFrom the article 2 mentionsAliaga added that Goldman Sachs just upgraded CoreWeave on the view that distress fears were overdone, though CoreWeave credit yields still sat near 15% from 13% twenty days ago, and she noted AI enablers should drive roughly 75% of earnings growth next year.Stress TestContextFrom the articleI read it as a stress test for the neo-cloud trade, not a one-off Korean glitch.Tighter FinancingDriverFrom the article 2 mentionsBloomberg reporter Peter Elstrom argued the Elice stumble fits a broader buildout worry, while JP Morgan Asset Management strategist Stephanie Aliaga pointed to tighter financing for levered AI names and a stark math problem: roughly $7 trillion in expected AI spending through 2030 against about $3.6 trillion in expected revenue, a gap she said points to write-downs ahead.nScale ValuationEffectFrom the article 2 mentionsBloomberg reporter Bailey Lipschultz reported investors are pushing nScale toward a $16 billion to $19 billion valuation, well below management's $30 billion push, even as the company chases a potential $45 billion computing deal with Anthropic and filed publicly on September 18.exacerbatesRevenue GapCoreFrom the article 3 mentionsBloomberg reporter Peter Elstrom argued the Elice stumble fits a broader buildout worry, while JP Morgan Asset Management strategist Stephanie Aliaga pointed to tighter financing for levered AI names and a stark math problem: roughly $7 trillion in expected AI spending through 2030 against about $3.6 trillion in expected revenue, a gap she said points to write-downs ahead.impliesWrite-downs AheadOutcomethis significant gap points to potential write-downs in the AI sectorFrom the articleBloomberg reporter Peter Elstrom argued the Elice stumble fits a broader buildout worry, while JP Morgan Asset Management strategist Stephanie Aliaga pointed to tighter financing for levered AI names and a stark math problem: roughly $7 trillion in expected AI spending through 2030 against about $3.6 trillion in expected revenue, a gap she said points to write-downs ahead. I read it as a stress test for the neo-cloud trade, not a one-off Korean glitch. Bloomberg reporter Peter Elstrom argued the Elice stumble fits a broader buildout worry, while JP Morgan Asset Management strategist Stephanie Aliaga pointed to tighter financing for levered AI names and a stark math problem: roughly $7 trillion in expected AI spending through 2030 against about $3.6 trillion in expected revenue, a gap she said points to write-downs ahead. ![AI Fears Roar Back After Elice IPO Flop - Bloomberg Technology](https://img.youtube.com/vi/fLU4DoalD8w/maxresdefault.jpg) AI Fears Roar Back After Elice IPO Flop, Bloomberg Technology That gap is why a single IPO can rattle the whole stack. Bloomberg reporter Bailey Lipschultz reported investors are pushing nScale toward a $16 billion to $19 billion valuation, well below management's $30 billion push, even as the company chases a potential $45 billion computing deal with [Anthropic](https://www.startuphub.ai/ai-news/artificial-intelligence/2026/anthropic-preps-for-blockbuster-ipo-aims-to-top-spacex) and filed publicly on September 18. Aliaga added that Goldman Sachs just upgraded CoreWeave on the view that distress fears were overdone, though CoreWeave credit yields still sat near 15% from 13% twenty days ago, and she noted AI enablers should drive roughly 75% of earnings growth next year. To her credit, Aliaga conceded that so long as the overall AI revenue pie keeps growing strongly, it diminishes the risk of a massive upset even for smaller, fringe players. The same tension ran through the rest of the [Bloomberg Technology](https://www.youtube.com/watch?v=fLU4DoalD8w) rundown, from chatter about [spacex](https://www.startuphub.ai/ai-news/public-companies/2026/how-to-buy-spacex-stock) earnings and Starship as an enabler for larger satellites and data centers in space, to the timeline for an [anthropic ipo](https://www.startuphub.ai/ai-news/ipo-watch/2026/anthropic-ipo-roadshow-investor-meetings-2026-07-21) expected before Thanksgiving. Outside the broadcast, [TradingView](https://www.startuphub.ai/startups/tradingview) pegs Anthropic's latest implied private valuation near $965 billion as of this week, per [TradingView](https://www.tradingview.com/symbols/NASDAQ-ANTHROPIC/), a level that leaves little room for an Elice-style wobble if growth or monetization slips. If you are building pick-and-shovel AI infrastructure, respect the Elice signal: demand is real, but financing is tightening and public markets will punish any hint you cannot turn capacity into cash. --- Original analysis from [startuphub.ai](https://www.startuphub.ai), the #1 AI startup directory. © StartupHub.ai. All rights reserved. You may not republish this article in full without a license. Search engines and AI research tools may crawl and summarize for reference. Bulk reproduction or model training on this content requires a license. See https://www.startuphub.ai/terms.