The tech business model has fundamentally changed. It has moved from the early Google model—a high-margin, low-CapEx "infinite money glitch"—to the current AI paradigm, which requires a capital-intensive, debt-financed infrastructure buildout resembling heavy industries like oil and gas.

Traditional valuation models assume growth decays over time. However, when a company at scale, like Databricks, begins to reaccelerate, it defies these models. This rare phenomenon signals an expanding market or competitive advantage, justifying massive valuation premiums that seem disconnected from public comps.

Permira differentiates in the crowded tech private equity space by targeting category-leading software companies. Their strategy focuses on doubling down on product investment to accelerate growth, rather than milking the business for short-term margin expansion.

In the current AI boom, companies are raising subsequent funding rounds at the same high revenue multiples as previous ones, months apart. This is because growth rates aren't decelerating as expected, challenging the wisdom that valuation multiples must compress as revenue scales.

Today's high S&P 500 valuation isn't a bubble. The market's composition has shifted from cyclical sectors (where high margins compress multiples) to mature tech (where high margins expand them). This structural change supports today's higher price-to-sales ratios, making the market fairly valued.

Early private equity required physical assets to secure debt. Glenn Hutchins highlights that the unlock for tech PE was teaching markets to lend against a software company's predictable cash flows. This financial innovation was necessary to acquire asset-light, high-margin businesses which traditional models couldn't value.

AI's ability to reduce the cost of software development erodes competitive moats, threatening the multiple-expansion strategy of growth-focused PE firms. However, firms like Constellation Software, which buy and hold for free cash flow (FCF), are better positioned. AI can simultaneously increase net retention and lower operating expenses, directly boosting the FCF that drives their returns.

Private market valuations are benchmarked against public multiples. Currently, public SaaS firms with 30% growth trade at 15-20x revenue, twice the historical average. If this 'bedrock price' reverts to its 7-8x mean, it will trigger a cascade of valuation drops across the private markets.

For over a decade, SaaS products remained relatively unchanged, allowing PE firms to acquire them and profit from high NRR. AI destroys this model. The rate of product change is now unprecedented, meaning products can't be static, introducing a technology risk that PE models are not built for.