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.

SaaS valuations are under pressure. Growth has slowed from 30%+ to the low teens, while multiples remain high compared to faster-growing sectors like semiconductors. SaaS firms must leverage AI to reignite top-line growth or their valuations will inevitably compress to match their new reality.

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.

The old PE model is obsolete in software. With high revenue multiples (7-8x) and low leverage (30% debt), firms must genuinely grow the business to generate returns. About two-thirds of value now comes from selling a larger, more profitable company (terminal value), not from stripping cash flow.

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.

For the first time ever, the software sector is trading at a discount to the S&P 500 on a free cash flow multiple basis. The median software business trades at 18-19x free cash flow, compared to the S&P 500's 28x, signaling a historically cheap valuation for the sector.

Traditional valuation multiples are increasingly misleading because GAAP rules expense intangible investments (R&D, brand building) rather than capitalizing them. For a company like Microsoft, properly capitalizing these investments can drop its P/E ratio from 35 to 30, revealing a more attractive valuation.

Software has long commanded premium valuations due to near-zero marginal distribution costs. AI breaks this model. The significant, variable cost of inference means expenses scale with usage, fundamentally altering software's economic profile and forcing valuations down toward those of traditional industries.

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.