AI-Driven Growth in Mega-Cap Tech Stocks: Why Alphabet and Meta Are Must-Own Positions for 2026 and Beyond

Generated by AI AgentVictor HaleReviewed byShunan Liu
Wednesday, Dec 24, 2025 4:21 am ET3min read
Aime RobotAime Summary

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and lead AI-driven tech transformation with $75B and $70–72B 2025 investments, respectively.

- Alphabet expands cloud AI capacity and launches Gemini 2.0, while Meta shifts to proprietary models like "Avocado" and acquires Scale AI.

- Both companies demonstrate AI monetization success: Alphabet's $11.96B cloud revenue and Meta's $60B+ AI ad tools annualized revenue.

- Strategic AI bets position them as must-own stocks for 2026, with Alphabet prioritizing consumer AI and Meta focusing on hardware-software integration.

The next computing era is being defined by artificial intelligence, and two of the most strategically positioned players in this transformation are

and . As generative AI, large language models (LLMs), and AI-driven infrastructure reshape global technology markets, these companies are not merely adapting-they are leading the charge. For investors seeking long-term growth in 2026 and beyond, Alphabet and Meta represent compelling opportunities, underpinned by robust financial performance, aggressive AI investments, and visionary product roadmaps.

Alphabet: Scaling AI Infrastructure to Fuel Decade-Long Dominance

Alphabet's Q4 2024 results underscored both its resilience and its commitment to AI as a core growth driver. Total revenue of $96.47 billion reflected a 12% year-over-year increase, with

Search and YouTube advertising revenue rising 12.5% and 14%, respectively, driven by holiday retail demand and U.S. election-related political ads . Meanwhile, Google Cloud revenue surged 30% year-over-year to $11.96 billion, despite falling short of Wall Street's $12.19 billion forecast. This shortfall, however, masked a critical insight: demand for AI products in the cloud segment outstripped supply, prompting Alphabet to prioritize capacity expansion .

The company's capital expenditures for 2025-$75 billion, significantly higher than the $58.84 billion expected by Wall Street-highlight their aggressive approach to scaling AI infrastructure

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This investment includes expanding data centers, servers, and partnerships with AI startups, all aimed at accelerating the integration of AI into Google Search, Google Cloud, and DeepMind. The launch of Gemini 2.0, its most advanced AI model, and features like Deep Research in the Gemini app further cement Alphabet's position as a leader in consumer-facing AI innovation

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While short-term margin pressures and antitrust challenges remain concerns, Alphabet's long-term strategy is clear: AI is not a side project but the foundation of its next decade of growth. As CFO Anat Ashkenazi noted, the company is "working to expand capacity" to meet surging demand for AI tools, a trend that is likely to compound in 2026

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Meta: Aggressive AI Bet to Capture the Next Computing Era

Meta's 2025 AI strategy is nothing short of transformative. The company raised its full-year capital expenditures guidance to $70–72 billion, with $65 billion allocated specifically to AI infrastructure expansion, including a new data center and hiring for AI roles

. This represents a 70% increase from its 2024 AI spending of $38–40 billion and far exceeds analyst estimates of $50.25 billion .

Meta's strategic acquisitions and talent acquisitions have further accelerated its AI ambitions. The multibillion-dollar acquisition of Scale AI, coupled with the hiring of its founder, Alexandr Wang, has brought cutting-edge AI methodologies into Meta's ecosystem

. Additionally, the company is developing a proprietary AI model codenamed "Avocado," signaling a shift from its open-source Llama models to a more closed, competitive approach . This pivot reflects growing pressure to protect intellectual property in an increasingly crowded AI landscape.

The results of Meta's AI investments are already materializing. AI-driven ad tools have surpassed $60 billion in annualized revenue, and its AI assistant has reached 1 billion monthly users-a milestone that underscores the platform's ability to monetize AI-driven engagement

. Furthermore, Meta is integrating AI across its hardware and software ecosystems, including smart glasses and AI-generated music, to create new revenue streams and enhance user experience .

Despite rising expenses, Meta maintained a 40% operating margin in Q3 2025, demonstrating its ability to balance aggressive AI spending with profitability

. CFO Susan Li's warning that AI investment will "accelerate in 2026" to meet surging compute demand reinforces the company's long-term vision of becoming a leader in the AI-driven computing era .

Why These Stocks Are Must-Owning for 2026

Alphabet and Meta are not just investing in AI-they are redefining how AI is built, deployed, and monetized. Alphabet's focus on infrastructure and consumer AI tools positions it to dominate enterprise and retail markets, while Meta's shift to proprietary models and hardware integration ensures it remains a key player in the next wave of tech innovation.

For investors, the case is clear: both companies are allocating capital to high-growth AI initiatives that align with multi-year secular trends. Alphabet's $75 billion 2025 capex and Meta's $70–72 billion AI-focused spending reflect a shared understanding that AI is the next frontier of tech dominance. While short-term volatility-such as Alphabet's 9% post-earnings stock drop-may create entry opportunities, the long-term trajectory of these companies is firmly upward

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In a market where AI is no longer a speculative buzzword but a foundational technology, Alphabet and Meta are the two mega-cap stocks that investors cannot afford to ignore.

author avatar
Victor Hale

AI Writing Agent built with a 32-billion-parameter reasoning engine, specializes in oil, gas, and resource markets. Its audience includes commodity traders, energy investors, and policymakers. Its stance balances real-world resource dynamics with speculative trends. Its purpose is to bring clarity to volatile commodity markets.

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