Michael Burry's thesis is that aggressive stock-based compensation (SBC) at companies like Nvidia significantly distorts their valuations. By treating SBC as a true owner's cost, a stock appearing to trade at 30 times earnings might actually be closer to 60 times, mirroring dot-com era accounting concerns.

Many tech stocks appear cheaper after market corrections, but massive stock-based compensation (SBC) creates significant, ongoing shareholder dilution. This hidden cost means the underlying businesses are not as inexpensive on a fundamental basis as their stock prices suggest.

Snap's valuation languishes despite a massive user base because of its extreme stock-based compensation ($2.5B in 12 months). This financial tactic inflates adjusted profits while massively diluting shareholders, revealing a fundamental disconnect between user growth and actual investor value creation.

Despite having a billion monthly active users and positive adjusted EBITDA, Snap's stock is near all-time lows. The primary reason highlighted is its staggering $2.5 billion in stock-based compensation over the last year, which severely dilutes shareholder value and raises concerns about its financial discipline.

The current downturn for public SaaS isn't a temporary correction; it's a permanent re-rating of their value. The market has realized that these companies are failing to convert massive AI investment into revenue growth. Their growth decline is now perceived as permanent, justifying lower valuation multiples compared to historical norms.

Software's heavy reliance on stock-based compensation (13.8% of revenue vs. 1.1% in other sectors) distorts key valuation metrics. The cash spent on share buybacks to offset dilution isn't factored into free cash flow calculations, making software companies appear more profitable than they are.

The ongoing decline in growth rates for public SaaS companies has created an existential crisis around revenue durability. Investors have lost confidence that traditional SaaS models can sustain growth in the face of AI disruption, leading to a massive valuation collapse.

The recent $300B SaaS stock sell-off wasn't driven by current performance. Investors are repricing stocks based on deep uncertainty about whether legacy software companies or AI-native firms will capture the value of automating human labor in the next 3-5 years.

Widespread use of non-GAAP metrics that exclude stock-based compensation (SBC) creates a misleading picture of profitability. In reality, many SaaS firms have minimal GAAP earnings, meaning there's no fundamental 'floor' for value investors to step in and buy during a market panic.