Michael Burry's warning that hyperscalers are underestimating AI chip depreciation shows that tech investors may have forgotten how much depreciation can hurt

Costing tens of thousands of dollars each, Nvidia Corp.'s pioneering AI chips make up a hefty chunk of the $400 billion …

Bloomberg 2025-11-12 Chris Bryant

Context & Ripple Effects

The coverage has tracked pressure on Nvidia’s economics from both demand and supply-side alternatives: customers and rivals were developing their own chips, while inference specialists sought to shift where AI spending lands. More recently, OpenAI’s reported expectation of lower costs from chips co-developed with Broadcom highlighted the financial incentive to reduce dependence on premium GPUs.

Burry’s intervention puts the accounting life of that hardware at the center of the AI-infrastructure debate. It matters because the investment case is not only about buying compute capacity, but also about how quickly that capacity must be replaced or written down.

First-order effects

Hyperscaler investors and finance teams face sharper scrutiny of the useful-life assumptions used for expensive AI accelerators, since shorter economic lives would raise depreciation expense and lower reported returns on infrastructure spending.
Nvidia’s high-priced chips become a focal point in valuation debates: the warning does not change demand directly, but it challenges whether the returns attributed to deployed GPU fleets fully reflect replacement costs.

Second-order effects

Large buyers gain another reason to compare proprietary and alternative accelerators on total lifetime cost rather than headline performance, reinforcing the appeal of customer-developed AI chips and competing suppliers.
Cloud and AI-service providers may face greater pressure to show that revenue from deployed capacity can cover both operating costs and hardware depreciation; the later report that AI sales exceeded estimated depreciation costs while margins stayed thin underscores that test AI revenue versus data-center depreciation.

Third-order effects

If accelerator generations continue to turn over faster than accounting assumptions, AI infrastructure could be valued more like rapidly depreciating equipment than durable data-center assets, raising the cost of capital for the most capex-intensive operators.
The durable competitive advantage may shift toward companies that can sustain high utilization, finance frequent refreshes, or control chip design and supply—not simply those that procure the largest GPU fleets.

The trend: AI’s infrastructure supercycle is moving from a race to secure compute toward a harder test of asset life, utilization, and returns on capital.

Discussion

@michaeljburry Cassandra Unchained on x
Understating depreciation by extending useful life of assets artificially boosts earnings -one of the more common frauds of the modern era. Massively ramping capex through purchase of Nvidia chips/servers on a 2-3 yr product cycle should not result in the extension of useful [ima…
@burrytracker Michael Burry Stock Tracker on x
Breaking: Michael Burry just tweeted this [image]
@michaeljburry Cassandra Unchained on x
Me then, me now. Oh well. It worked out. It will work out [image]
@buccocapital @buccocapital on x
Google goes *up* when the AI stocks go *up* because it's an AI winner Google also goes *up* when AI stocks go *down* because if AI adoption slows Google is also a winner [image]
@matthewberman Matthew Berman on x
It's almost like something happened in 2022 to increase the value of GPUs
@drjstrategy James E. Thorne on x
Some much needed context. The trend of extending server and network equipment useful lives among hyperscalers began with Amazon in 2020, moving from 3 to 4 years, then 5 years by 2022, well before the generative AI capex surge. Other giants like Microsoft, Google, Meta, and
@the_ai_investor @the_ai_investor on x
Let's see what he gets on Nov 25th. “Understating depreciation by extending useful life of assets artificially boosts earnings -one of the more common frauds of the modern era. G... Massively ramping capex through purchase of Nvidia chips/servers on a 2-3 yr product cycle [image]
@investingluc Luc on x
Michael Burry situation...I found something. Over the last 2 years, there's been multiple “minor accounting changes” to increase the useful life of *equipment*. ...to the tune of hundreds of billions in understated depreciation expenses. This is directly from the 10K filings [ima…
@michaeljburry__ Cassandra B.C. on x
[image]
@jg_nuke @jg_nuke on x
Don't forget those Neoclouds also, Doctor Burry. $CRWV uses the same 6 year straight line depreciation for their GPUs, which will be lucky to last 4.
@chrisjbakke Chris Bakke on x
Day 2 of Michael Burry shorting every stock that is going up 8% per day: [image]
@shanaka86 Shanaka Anslem Perera on x
SILICON VALLEY'S $170 BILLION LIE: THE ACCOUNTING FRAUD HIDING IN PLAIN SIGHT They are calling it innovation. The SEC filings call it something else. META, Microsoft, Google, Amazon, Oracle: five titans quietly extended server depreciation from 3 years to 6 years between [video]
@thejefflutz Jeff Lutz on x
This is where spreadsheet jockeys who know nothing about how the tech actually works blow themselves the f up. GPUs are not primarily depreciated via useful cycles as the entire system around it evolves over time to alter/improve performance, & move on to secondary applications..…
@funofinvesting Tevis on x
Michael Burry, whose latest 13F reveals ~66% of Scion's portfolio short $NVDA & $PLTR, just elaborated on his bearish thesis. He highlights Hyperscalers ( $META , $GOOG , $AMZN, $ORCL) are quietly extending AI server lives from 3-5yrs → 5-6yrs. Normally, companies depreciate
@onechancefreedm @onechancefreedm on x
The Hidden Trick Behind AI's Record Profits And What Michael Burry Just Exposed Burry's highlighting something that looks small but carries big implications, the hyperscalers (Meta, Google, Microsoft, Amazon, Oracle) have quietly stretched how long they say their servers, GPUs,
@amitisinvesting Amit on x
Either Burry is getting desperate or he is gearing up for Big Short 2.0... - He says “more details coming November 25th,” either its a book launch or he is putting out more around his bear thesis - This is the first time in years he has publicly mentioned tickers, in this case
@john_stepek John Stepek on x
This is an excellent explainer column by Bloomberg Opinion's @chrismbryant on how accounting for depreciation of microchips (keep on reading, you're nearly there!) might be the thing that pops the AI bubble https://www.bloomberg.com/...
@ross__hendricks Ross Hendricks on x
Tell me you don't understand how depreciation charges work without telling me Hint: you just made Burry's point for him
@realjimchanos James Chanos on x
And yet, despite $CRWV having clients willing to “re-up” fully-depreciated GPU contracts within 5% of original contracted prices...margins are declining. Lol, ok.
@ross__hendricks Ross Hendricks on x
@thexcapitalist Wrong. Hyperscalers will become better businesses if they stop torching endless amounts of capital on rapidly depreciating GPUs. Nvidia will get wrecked.
@jpatrades @jpatrades on x
Just put the fries in the bag bro
@researchqf @researchqf on x
1) Burry's conclusion is economically wrong. He is technically right in the sense depreciations are incredibly rough accounting estimates (as a side note, this is also true of plenty of fully depreciated plants & fabs out there that are are still in operation and profitable [imag…
@ayedtay T Ay on x
@bubblebabyboi I don't think burry understands how these gpus are used H100 was released in 2022 and they're still being used and rented out for about the same price I don't think 5 or 6 years useful time is all that crazy
@benitoz Ben Pouladian on x
Michael Burry keeps yelling “AI bubble.” Yet both CoreWeave and Nebius just said they're sold out of H100s and pre-sold Blackwells before data centers even open. Two of the biggest AI clouds can't keep GPUs in stock that's not a bubble, that's a compute famine $NVDA $NBIS [video]
@hotaisle @hotaisle on x
Thanks to Mr. Burry, depreciation seems to be the hot new debate topic, so here's some additional thoughts from someone who buys and runs the hardware: Depreciation ≠ Useful Life. Depreciation is an accounting schedule that accounts for how you're going to pay back the [image]
@kakashiii111 @kakashiii111 on x
CoreWeave depreciated US$0.63 billion in one quarter (~US$2.5 billion per year), implying an effective annual depreciation rate of around 12% if crudely annualized. That's roughly consistent with their stated 8 to 12 year useful life for data center infrastructure. Good to know […
@ross__hendricks Ross Hendricks on x
It's hard to come up with a worse business model than one that relies on huge amounts of high yield debt to acquire depreciating assets in a commoditized industry with zero marginal pricing power. That's $crwv in a nutshell
@realjimchanos James Chanos on x
As the AI DC bulls now try to convince you to extend depreciable lives on GPU's today, consider this: $CRWV's 3Q annualized Adj EBITDA was $3.4B, and annualized interest was $1.2B. Using 10-year life(!) on their $20.0B of est. GPU's ($2.0B) means they are still barely profitable.
@daniel_mac8 Dan Mac on x
tldr; Michael Burry said cloud hyperscaler earnings are overstated because they are artificially inflating useful life of AI chips This thread provides evidence for why thats unfounded Burry strikes me as someone who was one-shot by the massive reward signal of calling a bubble
@kshaughnessy2 Kristen Shaughnessy on x
Calling out the red flags on big tech's balance sheets “...On paper, it sounds like a harmless accounting tweak. In reality, it's a multi-billion-dollar optical illusionhiding how much cash Big Tech is really burning. According to Burry, hyperscalers like Coreweave, Meta, [image]
@benbajarin Ben Bajarin on x
Important to note at this moment in time, 90% of the GPU installed base is H100 and below. Given the leap in compute, as well as much more purpose built architecture, with GB and beyond, I'd say we can't say this with certainty on a go forward basis. There are deep technical
@danielnewmanuv Daniel Newman on x
The depreciation conversation is real, but I don't think Burry knows better than Zuckerberg or Nadella the useful life of these capex investments. And if the earnings are overstated short term, it would likely mean they are understated longer term. The longer depreciation [image]
@albertedwards99 Albert Edwards on x
My former colleague, James Montier came up with the C-Score to quantitatively detect companies that were using legal accounting practices to boost eps aka “cheating” or “cooking the books”. Depreciation was one of six common manipulations. @michaeljburry https://oldschoolvalue-fi…
@boilerpaulie Paul Branham on x
77 minutes into the movie: He updates the whiteboard from -113% to -197% and has a conversation with Lewis about how “it's possible that we are in a completely fraudulent system.” “Or ... you're wrong.” “Sure. It's possible I'm wrong. I just don't know how. I guess when
@notmrmanziel Manz on x
Sentiment on Burry = one of the most negative mass sentiments towards an individual fund manager in recent memory the most entertaining outcome: he's right everyone left holding the aftermath we get another movie out of it
@nancywilling1 Nancy Willing on x
It's good that most tech giants spending wildly on AI have mountains of cash to throw around, but the brief useful life of the chips is a worry, writes @chrismbryant https://www.bloomberg.com/...
@mollysoshea Molly O'Shea on x
Have you seen Alex Karp's sword? [video]
@rhorider @rhorider on x
Burry is not wrong here. AI hyperscalers are getting away with extending GPU depreciation on the books because they're making up the rules on GPU depreciation as they go... They can say whatever they want and their auditors have cover
@singularityres @singularityres on x
When you have accurately predicted 9 of the last 2 recession
@stocksavvyshay Shay Boloor on x
Michael Burry says hyperscalers are stretching the “useful life” of compute hardware to understate depreciation and boost earnings. He estimates a $176B gap by 2028, with $ORCL overstating earnings by ~30% & $META by ~20%. I'm taking the other side because AI is entering a [image…
@burrytracker Michael Burry Stock Tracker on x
Michael Burry's back swinging at the AI bubble Claiming the hyperscalers are juicing profits by stretching server lifespans and hiding $176B in fake earnings [image]
@thexcapitalist @thexcapitalist on x
Michael Burry is wrong here. $GOOG 7-8 years old TPUs are still running at 100% utilization according to the Google Cloud VP. $NVDA A100s sold in 2020 are still running, and H100's won't retire before 2027. Hyperscalers, may be understating D&A, but not as much as Burry says. [im…
@samanthaladuc Samantha LaDuc on x
What's this? Forensic accounting bubble-buster Burry claiming hyperscalers are underestimating depreciation and overestimating earnings. Market, show me you care! $CRWV $NVDA #MAG7
@unusual_whales @unusual_whales on x
JUST IN: Michael Burry has said that Oracle, $ORCL, and Meta, $META, could be overstate earnings by 26.9% and 20.8%. He adds: “It gets worse.” [image]
@moorehn Heidi N. Moore on x
Burry is the investor who correctly called the housing crisis (The Big Short was about him.) To explain what Burry is saying here: When companies announce earnings, they do not just announce revenues or profits. They also have to subtract the depreciation and amortization
@deitaone @deitaone on x
MICHAEL BURRY WARNS OF ‘EARNINGS FRAUD’ FROM EXTENDED ASSET LIVES “The Big Short” investor Michael Burry accused major tech firms of inflating profits by extending the useful life of equipment. He said hyperscalers' Nvidia-driven spending should shorten, not lengthen,
@agnostoxxx Le Shrub on x
If the Plebes get 50-year mortgages, the AI Oligarchs should ask for 50-year depreciation schedules on GPUs🤭 [image]
@ankitatiima Dr. Shah on x
💥Almost every businessman in Asia knows that top 7 US tech companies' entire top management would be in jail if they do accounting like they do in America.
@stasbekman Stas Bekman on x
I often wonder about the gpu depreciation and what happens to those A100s and V100s that are still just fine, but nobody wants them. You're not going to hear about the gpu depreciation math from a big CSP, but thankfully Jon @HotAisle has shared the math and the reality check.
@benbajarin Ben Bajarin on x
The analogy here to analyzing an AI data center like a semiconductor fab is apt when you think about economies of scale (massive inference tokens) and then capex depreciation of equipment. High fixed costs to start but economies of scale eventually boost the margins.
@robinmonotti Robin Monotti on x
I hope Michael Burry has good security. He has called fraud on US Big Tech earnings. He is of course correct.
@suburbandrone @suburbandrone on x
This is where the rubber hits the road for Tech investors: This week, Michael Burry called bull shit on the hyperscalers for understating their depreciation rate by hundreds of billions of dollars. https://www.cnbc.com/... Nvidia AI hardware depreciates at an accelerated rate [im…
@highyieldharry @highyieldharry on x
Michael Burry, you seeing this Bro?
@oraclesean.com Sean Scott on bluesky
Probably worth noting that Michael Burry is the guy who predicted the subprime mortgage bubble and got rich when the “smarter people” gleefully let him bet against them. [embedded post]
@carlquintanilla Carl Quintanilla on bluesky
“.. You won't always need a Porsche 911 engine to run these workloads, a VW engine will do fine.” — A good look at the “generous accounting assumptions” that are underpinning the entire AI economy. — @opinion.bloomberg.com — www.bloomberg.com/opinion/arti... [image]
@pauljdavies Paul J Davies on bluesky
@chrismaxbryant.bsky.social digs into the optimistic chip depreciation rates of datacenter builders and finds different risks for hyperscalers and more debt-funded neocoloud companies >> www.bloomberg.com/opinion/arti...
@jessefelder Jesse Felder on bluesky
'Unlike 19th-century railroads, or the Dotcom boom's fiber-optic cables, the graphics-processing units (GPUs) fueling today's AI mania are short-lived assets with a shelf life of perhaps five years.' www.bloomberg.com/opinion/arti... [image]
r/technology r on reddit
The AI Boom Is Looking More and More Fragile
r/Burryology r on reddit
‘Big Short’ investor Michael Burry accuses AI hyperscalers of artificially boosting earnings
r/AMD_Stock r on reddit
J.P. Morgan calls out AI bubble?

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