Microsoft (NASDAQ: MSFT) and Broadcom (NASDAQ: AVGO) represent two very different ways to bet on the artificial intelligence boom, and the contrast between them could not be sharper.

Microsoft closed Q4 FY2026 with $90.01 billion in revenue, a figure that underlines the company’s position as one of the most dominant technology platforms on the planet.

Intelligent Cloud revenue jumped 32% to $39.31 billion, while Azure grew 43% year over year and crossed $100 billion in annualized revenue for the first time in the company’s history.

Microsoft 365 Copilot surpassed 30 million paid seats, signaling that AI monetization is no longer speculative but a genuine and growing revenue stream embedded across the enterprise.

The number that deserves the most attention is the commercial remaining performance obligation, which hit $678 billion, up 84% year over year, representing contracted future revenue rather than analyst projections or market optimism.

Broadcom’s most recent quarter told a different story, one of what analysts have described as pure silicon leverage, with AI semiconductor revenue reaching $10.80 billion, up 143% year over year.

Chief Executive Hock Tan guided third-quarter AI semiconductor revenue to $16 billion, implying growth in excess of 200%, while operating income more than doubled to $10.788 billion, an increase of 85.07%.

Broadcom’s earnings per share of $2.44 topped the consensus estimate of $2.3972, extending an eight-quarter beat streak that has made the company a reliable outperformer against Wall Street expectations.

The two companies have taken structurally opposite approaches to the AI infrastructure race, with Microsoft committing full-year capital expenditure of $90.01 billion that pushed free cash flow down 23.19% to $19.639 billion.

Broadcom chose the asset-light, fabless route, converting $22.187 billion in revenue into $10.262 billion in free cash flow, supported by a 69% adjusted EBITDA margin that reflects the pricing power of selling scarce, hard-to-replicate silicon.

Microsoft’s 27 price-to-earnings multiple, combined with its $678 billion backlog and diversification across enterprise software, positions it as the steadier long-term compounder of the two companies.

Broadcom, meanwhile, trades below its $527.88 analyst price target following an 18% pullback, making it an arguably compelling entry point for investors seeking maximum exposure to AI semiconductor growth.

The concentration risk is real for Broadcom investors, however, given that the company ships to a short list of hyperscalers whose order patterns can shift quickly and without warning.

Hock Tan’s stated goal of reaching $100 billion in AI sales by 2027 is an ambitious target that depends heavily on sustained hyperscaler capital spending remaining at current elevated levels.

Both companies offer credible paths through the AI cycle, but for investors who prioritize stability, contracted revenue visibility, and diversified cash generation, Microsoft remains the more defensible position heading into the second half of 2026.