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After Jensen Huang’s downfall, here’s an even bigger problem that threatens the AI industry

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Cite

Gasparino, C. (2026, November 13). After Jensen Huang’s downfall, here’s an even bigger problem that threatens the AI industry. New York Post. https://nypost.com/2026/11/13/business/after-jensen-huangs-downfall-heres-an-even-bigger-problem-that-threatens-the-ai-industry/

Dated from the outlet's own feed. Check the original for its byline.

New York Post · collected 2026-11-13 · by Charles Gasparino

Quick Summary

The article discusses the financial strain facing the artificial intelligence industry following the departure of Jensen Huang, focusing on the mounting debt that many AI companies have accumulated. Debt financing for AI companies reached over $560 billion globally in 2026, but banks are now reluctant to lend, with some attempting to offload their portfolios of AI-related loans. The concern is not just about corporate governance issues but the broader economic viability of heavily indebted AI firms, especially smaller players that may struggle to secure funding as the market becomes more cautious.
Written by AI on 2026-11-14, from this article's own text only (the story summary below draws on all the coverage).

AI analysis

Story summary

The AI industry is facing a severe funding crisis, with debt financing becoming increasingly scarce. According to recent reports, over $560 billion in debt was issued worldwide in 2026 alone to fund AI expansion. However, the debt spigot has recently been shut off, making it prohibitively expensive even for larger companies to access new funding. Banks are now trying to unload their portfolios of AI data-center loans, and many AI firms are being rated as junk, meaning they must pay higher interest rates to sell debt. This financial squeeze could threaten the survival of many AI companies and lead to a potential industry-wide crash.

Written for “Jensen Huang's Downfall” on 2026-11-14, grounded in this article and the 0 other(s) covering the same event.
Why this leaning score
This article does not take a side on a contested political question, so it has no leaning score. That is an answer rather than a gap: a match report or a rescue can be warmly or critically written without being left or right, and scoring it anyway is how approval of a subject gets recorded as a political position.
No political leaning scored for article 150745 · logged 2026-11-14

Compared with similar articles

This article reads unscored and hedges 13% of its claims. Each row says how that neighbour differs.
Semafor
Hedges 0 of 12 claims Outlet record 66/100
“While both articles discuss the impact of Jensen Huang's departure from Nvidia on the AI industry, they describe different aspects and implications of the same broader situation.”
Semafor
Leans right Hedges 3 of 4 claims Outlet record 66/100
“The articles discuss different aspects of challenges facing the AI industry and Nvidia, rather than the same specific event.”
Daily Mail
Hedges 6 of 30 claims Outlet record 70/100
“While both articles discuss the fallout from Jensen Huang's departure from Nvidia, they describe different aspects of the event—one focusing on the personal scandal and its immediate impact, and the other on the broader financial implications for the AI industry.”
AI boom or bubble? Different event
Al Jazeera
Leans left Hedges 0 of 11 claims Outlet record 60/100
“The articles discuss different aspects of the AI industry's financial risks, with Article A focusing on the tech sell-off and election outcomes, while Article B focuses on the debt financing issues faced by AI companies.”
Semafor
Hedges 2 of 16 claims Outlet record 66/100
“While both articles discuss the financial challenges facing the AI industry, they describe different aspects of the situation and do not clearly refer to the same specific incident.”
Semafor
Hedges 0 of 7 claims Outlet record 66/100
“The articles discuss related issues but describe different aspects and timelines of the AI industry's financial challenges.”
NPR
Hedges 1 of 13 claims Outlet record 60/100
“The articles discuss related issues in the AI industry but describe different aspects and outcomes, not the same specific event.”

Story

Jensen Huang's Downfall
Economy/Business · 1 article(s) covering the same event.
How this article was measured signals, leaning charts, publisher record, byline, topics and claims

Signals How these are calculated →

Claims extracted
30
sentences that state something as happening or true
Uncertain
13%
4 of 30 hedged ("reportedly", "may", "according to")
Leaning
not political
takes no side on a contested political question
Publisher signals
66/100
New York Post's corrections and hedging, across everything collected from it. Not a measure of accuracy.
Outlets on this story
1
Economy/Business
Same framing elsewhere
1
articles that frame the event the way this one does
Analyzed 2026-11-14 · how these are computed

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Publisher

New York Post · 20013 article(s) · 40 correction(s) detected
Running correction rate · 40 correction(s)

Who wrote this

Charles Gasparino
28 article(s) here · 1 carrying a prediction
Maybe the worst part of the AI correction (or is it the start of a crash?) is that it has little to do with the revelations that Nvidia’s now-ex-CEO had a fling with a woman who the government alleges could also be a spy for the Chinese.
That’s instead of a management team that could and should have weighed in when whiffs of trouble began cropping up as early as last year, according to press accounts – and likely sooner.
Jensen Huang is not only a “key man” for Nvidia’s AI empire but more broadly for the US economy – but that doesn’t mean he and his job will be safe from the ire of Democrats on Capitol Hill next year.
The carnage might not end anytime soon.
The Iran conflict’s impact on fuel prices doesn’t help but the last time I checked, gas prices on average are not that different than when Biden was throttling drilling; the weakened mullahs will ultimately provide a peace dividend that many Americans favor.
OpenAI is saying it has no plans to go public this year – but senior Wall Street executives say they fully expect it will happen in the first quarter of 2027, On The Money has learned.
But as I’ve recently discovered, there’s a notable exception to this unhappy trend, and that would be Pot Inc.
“It will be years of hearings, investigations and nonstop turmoil,” one major Wall Street deal lawyer said.
With investors likely to get more details of Anthropic’s pending initial public offering as soon as Friday, the question is whether the official disclosures for the AI giant will actually stoke demand – or cause investors to think twice before tapping into stock, On The Money has learned.
A new and life-changing business known as the internet, you will recall, was going to make us all rich, and not just the oligarchs behind the technology.
Also by Charles Gasparino
Nothing else under this byline is closely related to this article, so these are simply their most recent.
All 28 articles by Charles Gasparino →

Topics

Anthropic Chinese Nvidia On The Money OpenAI

Subjects

Anthropic ORG · 2× Charlie Gasparino PERSON · 2× Nvidia ORG · 2× On The Money ORG · 2× Amazon ORG · 1× Chinese NORP · 1× CoreWeave ORG · 1× Jensen Huang PERSON · 1× Meta ORG · 1× OpenAI ORG · 1×

Narrative

While Wall Street stays riveted by the fall of Jensen Huang, yet another industry threat looms – namely the mountains of debt on the typical AI company’s balance sheet and the fact that financing is starting to run dry, On The Money has learned.
framing: assertive · carried by 1 article(s) · first seen 2026-11-14
Maybe the worst part of the AI correction (or is it the start of a crash?) is that it has little to do with the revelations that Nvidia’s now-ex-CEO had a fling with a woman who the government alleges could also be a spy for the Chinese.

Claims (30 extracted, 4 hedged)

While Wall Street stays riveted by the fall of Jensen Huang, yet another industry threat looms – namely the mountains of debt on the typical AI company’s balance sheet and the fact that financing is starting to run dry, On The Money has learned. asserted
Money → stay → sheet
Debt financing has been the go-to method for AI players to fuel their wild expansion over the past two years. asserted
players → go → years
More than $560 billion of it has been issued worldwide in 2026 alone for data centers, cloud services, chips – all the stuff that goes into AI. asserted
that → issue → AI
But AI executives say the debt spigot has recently been squeezed shut, making it prohibitively pricey even for bigger players in recent weeks. asserted
it → say → weeks
Not only are many companies being rated below-investment grade, or junk — meaning they have to pay up to sell debt — banks are getting fickle with lending. asserted
banks → rat → lending
Indeed, sources tell On The Money that banks are now trying to unload their portfolios of AI data-center loans instead. asserted
banks → tell → loans
Teams inside the biggest banks are re- asserted
Teams → re → banks
evaluating their portfolios to match current, more dyspeptic market conditions as opposed to those forgone bubble valuations at which the loans were made. asserted
loans → evaluate → which
“I’ve been working on data center financing since 2021,” said one banker who asked not to be named. asserted
who → work → 2021
“Every bank is stuffed to the gills with this stuff and looking to dump their portfolios.” asserted
bank → stuff → portfolios
Maybe the worst part of the AI correction (or is it the start of a crash?) is that it has little to do with the revelations that Nvidia’s now-ex-CEO had a fling with a woman who the government alleges could also be a spy for the Chinese. uncertain
government → have → Chinese
In other words, bad news – the AI debt debacle probably isn’t something that can be fixed with better corporate governance at Nvidia. asserted
that → fix → Nvidia
Rather, the problem is more existential and intractable – including all that debt, and fears that company valuations may have amounted to irrational exuberance that seems to have outpaced financial performance. uncertain
that → include → performance
As one major AI investor told me, all of the above is “causing a s–tstorm in the debt markets right now.” asserted
all → tell → markets
Yes, AI is here to stay for lots of reasons including its use in medicine, business and national security. asserted
AI → stay → medicine
Anthropic is likely coming public next week with an IPO that will value the company at around $1.4 trillion. asserted
that → come → trillion
OpenAI is aiming for a similarly sized IPO early next year. asserted
OpenAI → aim → IPO
Even if those deals happen (and there’s no guarantee they will given the markets’ sour mood), these companies are big and established. asserted
companies → happen → mood
They raised their debt already for much of their buildout and infrastructure. asserted
They → raise → buildout
It’s the broader AI business that is and will be feeling the squeeze as the debt window closes, maybe the defining moment for AI signaling a long-awaited correction, industry executives say. asserted
executives → ’ → correction
Companies like CoreWeave, a so-called neocloud that financed its operations largely through debt, will have a hard time raising money in the bond market. asserted
that → call → market
Given its stock price, equity investors won’t be in the mood to throw it money either. asserted
investors → give → money
Charlie Gasparino has his finger on the pulse of where business, politics and finance meet Sign up to receive On The Money by Charlie Gasparino in your inbox every Thursday. asserted
business → meet → inbox
That vicious cycle – debt markets closed or too expensive and picky stock buyers – could easily turn into an AI winter for many companies, or maybe all of them. uncertain
cycle → close → them
Sure AI-related outfits like Meta, Google, Amazon and Microsoft can rely on their diversified business models to find investor cash. asserted
outfits → relate → cash
But once Anthropic does its IPO, will it really want to tap debt markets for additional financing? asserted
it → do → financing
It’s looking at a debt rating in the junk bond range once it becomes a public company. asserted
it → look → range
It’s also looking at a likely slowdown from its torrid growth. asserted
It → look → growth
All of the above amount to underappreciated truths about the booming business of AI. asserted
All → boom → AI
Investors might want to take heed ahead of any blockbuster IPOs. uncertain
Investors → want → IPOs
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