The S&P 500's historical earnings growth is ~6.7%. The ~9% growth of the last decade was an exception, driven by the unprecedented hyper-growth of a few mega-cap tech firms. As the law of large numbers catches up to these giants, investors should anticipate future index returns to revert to historical, lower norms.

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.

While large-cap tech stocks are showing weakness, cyclical sectors like small caps, consumer discretionary, and restaurants are breaking out. This suggests capital is flowing from concentrated, high-valuation names to broader, economy-sensitive assets, indicating a significant shift in market leadership.

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.

Capital is flowing out of massive "Mag 7" tech stocks and into much smaller sectors like staples, energy, and utilities. Because these sectors are so small relative to tech, even a minor reallocation of capital from the behemoth tech trade can cause their prices to rise vertically.

Big Tech's sustained outperformance presents a portfolio anomaly. These companies are simultaneously the largest market components and among the fastest-growing, a rare combination that breaks historical patterns where size implies maturity and slower growth, forcing managers to adapt.

Valuing companies like Meta based on past P/E multiples is flawed because their business model is changing. The shift from a capital-light, high-margin software firm to a leveraged, hardware-heavy business means it should command a much lower valuation multiple.

Due to massive differences in revenue multiples, consumer spending cuts affect companies differently. A dollar lost by a high-multiple tech company like OpenAI (40x revenue) erases far more market cap than a dollar lost by a low-multiple retailer like Kroger (0.3x revenue). This gives consumers targeted leverage over Big Tech valuations.

Tech's portion of US GDP has tripled from 4% to 12% since 2005 and is projected to continue growing. This underlying economic shift, accelerated by AI converting services to software, indicates that tech's total market cap has significant room for expansion, supporting more trillion-dollar companies.