In 2025, Alphabet emerged as a top performer within the so-called Mag7, driven by its AI “earner” status contrasted with peers classified as “spenders.” Investors have penalized companies with high capital expenditures and delayed returns while rewarding those converting AI investment into near-term profits. Alphabet reported gross margins of 59.2% in Q3, up from 57.8% a year earlier, reflecting the early monetization of Gemini integration across Search and YouTube. This margin expansion has underpinned its outperformance against the S&P 500, as the company delivered operating income growth of 28% year-over-year, demonstrating that its AI pivot is translating into sustainable profitability today rather than in distant horizons.

After underperforming early in the year, Alphabet’s stock rebounded strongly, posting a year-to-date gain of more than 65% by November. Wall Street analysts raised their earnings estimates for 2026 by an average of 10% following successive quarters of AI-driven upside. This optimism rests on Alphabet’s expansion of AI overviews in Search, which boosted query engagement by over 10% in key markets, and on Google Cloud’s AI services, where revenue climbed 34% year-over-year to $15.2 billion in Q3. As investor sentiment shifted, Alphabet’s enterprise value-to-EBIT multiple expanded from lows near 17x to approximately 23x, aligning it with higher-growth peers and signaling confidence in its long-term growth trajectory.

Alphabet’s comprehensive AI stack spans DeepMind research, custom Tensor Processing Units, global data centers, cloud infrastructure, and consumer applications. This vertical integration reduces reliance on third-party suppliers and accelerates model deployment. Crucially, Alphabet controls vast proprietary datasets: over 3.5 billion Android devices, more than 2 trillion annual YouTube views, and over 8 billion daily Search queries. These data streams enable continuous model refinement, giving Alphabet an edge in accuracy and personalization. With cash reserves exceeding $98 billion, the company can further scale infrastructure and fund new AI initiatives without diluting margins or delaying returns.

In December, Alphabet agreed to acquire Intersect for $4.75 billion, marking its first major AI-related deal focused on energy and data center infrastructure. Intersect specializes in co-locating renewable power sources—wind, solar, battery storage—alongside data centers, reducing energy costs and grid-connection delays. This purchase complements Alphabet’s strategy of controlling every layer of the AI value chain: from research and hardware to compute, distribution, and now energy supply. By securing more predictable power costs, Alphabet aims to protect gross margins as AI workloads surge, reinforcing its position as a low-cost, high-efficiency operator in the next phase of AI deployment.