AI companies boosting earnings under fire from Burry

bbrief Trends

9 months ago

The Artificial Intelligence (AI) sector faces fresh scrutiny as legendary investor Michael Burry – famed for predicting the 2008 financial crisis – places a staggering $1.1 billion bet against leading AI companies. His bold move raises critical questions about whether AI companies boosting earnings are presenting an accurate picture of their financial health or inflating figures to sustain sky-high valuations.

This dramatic stance from the investor immortalised in “The Big Short” has sent shockwaves through technology markets. It signals potential concerns about the sustainability of the current AI boom and the methods companies use to showcase their profitability.

What Burry’s bet reveals about AI earnings

Through his investment firm Scion Asset Management, Burry disclosed put options worth approximately $1.1 billion against AI giants Nvidia and Palantir in the third quarter of 2025. The position includes roughly $900 million targeting Palantir and another $200 million aimed at Nvidia, two companies at the forefront of the artificial intelligence revolution.

Put options allow investors to profit when share prices decline, making this a direct bet that these AI stocks are overvalued. Burry’s timing is particularly noteworthy given that both companies have reported strong financial results recently.

AI companies boosting earnings amid valuation concerns

Despite Palantir exceeding earnings expectations, its share price dropped 8% following the disclosure of Burry’s position. This unusual market reaction – falling prices despite positive earnings – suggests investors may be questioning whether reported profits justify current valuations.

Palantir currently trades at a forward earnings multiple of 280, meaning investors pay £280 for every £1 of expected future earnings. For context, this ratio significantly exceeds traditional market averages, raising eyebrows about sustainability.

The artificial inflation allegation

According to reports, Burry specifically accuses AI hyperscalers of artificially boosting earnings to maintain investor confidence and support inflated stock prices.

This allegation touches on several potential accounting practices:

Revenue recognition timing that may accelerate reported earnings
Aggressive capitalisation of research and development costs
Strategic presentation of adjusted earnings that exclude certain expenses
Optimistic projections about future AI revenue streams

Market reaction and institutional selling patterns

The disclosure triggered notable market volatility, with the Nasdaq declining 3% as investors reassessed AI stock valuations. What’s particularly revealing is that insider selling at these companies has reached £9.3 billion – a pattern that often suggests those closest to company operations may doubt current price levels.

This institutional selling, combined with Burry’s position, creates what analysts call a “sentiment cascade.” When high-profile investors signal concern, it often prompts others to reconsider their positions, regardless of reported earnings figures.

Why AI earnings deserve extra scrutiny

The AI sector differs from traditional technology investments in several important ways that complicate earnings assessment:

Massive upfront infrastructure costs

AI companies invest billions in computing infrastructure, data centres, and specialised chips. How these costs are accounted for – whether expensed immediately or capitalised over time – dramatically affects reported profitability.

Uncertain revenue models

Many AI applications remain in early commercial stages. Companies may project substantial future revenues that haven’t materialised, leading to valuations based on optimistic scenarios rather than current performance.

Accounting flexibility

Technology companies often report “adjusted” earnings that exclude stock-based compensation and other expenses. Whilst legal, this practice can present a rosier picture than standard accounting measures would show.

What investors should watch

For those holding positions in AI stocks or considering investments, Burry’s stance highlights several red flags worth monitoring:

Forward earnings ratios – Extremely high multiples suggest prices depend heavily on future growth rather than current profitability
Insider trading patterns – Significant selling by executives and early investors may indicate private concerns about valuations
Cash flow versus reported earnings – Companies genuinely boosting earnings should show corresponding improvements in actual cash generation
Revenue concentration – Dependence on a few large customers or government contracts creates vulnerability

The broader implications for tech valuations

Burry’s position represents more than a bet against two companies – it challenges the entire AI investment narrative that has driven technology markets higher throughout 2024 and 2025. If his concerns about AI companies boosting earnings through questionable methods prove correct, the correction could extend well beyond Nvidia and Palantir.

However, it’s worth noting that Burry has made contrarian calls before that didn’t materialise on his anticipated timeline. Market timing remains notoriously difficult, even for legendary investors.

The coming months will reveal whether concerns about artificially inflated AI earnings prove justified or whether these companies can demonstrate sustainable profitability that supports their remarkable valuations. Either way, increased scrutiny of how AI companies report their financial results serves investors’ interests by promoting transparency and realistic expectations.