Is Google spending too much on AI?

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Is Google Overspending on AI? A Closer Look at Alphabet’s Ambitious Investment Strategy

Google’s parent company, Alphabet, is set to allocate a staggering $75 billion toward capital expenditures by 2025, primarily targeting artificial intelligence (AI) and cloud infrastructure. This ambitious plan has sparked intense discussions, especially when compared to competitors like DeepSeek, which achieves comparable results with a fraction of the investment.

The Historical Context of Alphabet’s Investments

When evaluating this massive spending initiative, it’s crucial to consider Alphabet’s history of bold investments. From its early forays into Android and Google Maps to the development of custom data centers, Alphabet has consistently directed resources toward foundational technologies. The shift to AI is just another chapter in a long story of strategic investments. Though the results may take years to manifest fully, Alphabet’s past suggests that such bets often yield significant returns.

A Leaner, Smarter AI Race?

In stark contrast to Alphabet’s spending, DeepSeek has emerged as a game-changer, launching AI models at a mere $6 million—a syntax that seems like pocket change for a tech giant. Alongside DeepSeek, Mistral is making waves by demonstrating that efficient architecture and smart data strategies can yield impressive outcomes without breaking the bank.

The Divergence in Strategies

On paper, the disparity is striking. DeepSeek produces AI models that stand toe-to-toe with leading technologies at a fraction of the cost. Mistral’s compact models are already in commercial use, while Meta pushes ahead with innovations focused on minimizing the cost-per-token ratio. This raises a pertinent question: Is Alphabet overspending in a landscape that increasingly favors leaner solutions?

Google Ads, Alphabet’s primary revenue source, is undergoing a transformation powered by AI-driven automation.

Building a Comprehensive AI Ecosystem

Alphabet’s investment isn’t merely about enhancing existing models. Instead, it’s an ambitious endeavor to develop a vertically integrated AI ecosystem that includes everything from custom chips to product integration and global distribution. This strategy aims to weave AI into nearly every facet of Alphabet’s operations.

  • Generative AI is reshaping Google Search.
  • YouTube is leveraging AI for content summarization and discovery.
  • Google Cloud is providing advanced AI infrastructure to enterprise clients, with the innovative Gemini model positioned as a key differentiator.

These initiatives are undeniably costly. While Alphabet may appear to have been lagging in the generative AI sector, its approach is meticulously calculated. The company isn’t just responding to trends; instead, it seeks to control the very infrastructure that will define the AI-powered internet of the future.

The Role of Lean Players

Companies like DeepSeek and Mistral are crucial players in the AI landscape, particularly for startups and developers seeking open-source flexibility and cost management. Should their innovation trajectory continue, they may commoditize parts of the AI model stack, reminiscent of how Linux transformed the software industry.

As the costs associated with AI decline, an explosion in demand across multiple sectors may make Alphabet’s comprehensive strategy even more valuable. By creating a holistic ecosystem that commercializes AI, Alphabet positions itself to capitalize on this burgeoning demand effectively.

A Historical Perspective

This isn’t the first time critics have questioned Alphabet’s hefty expenditures on seemingly non-core projects. In the late 2000s, ventures into self-driving cars, mobile operating systems, and digital mapping raised eyebrows. Yet, today, these innovations form the backbone of Alphabet’s market dominance.

The author, Nadine Chetty-Khan

The acquisition of Android in 2005 catalyzed Google’s leadership in the mobile revolution, whereas YouTube, acquired in 2006 for $1.65 billion, now generates over $30 billion annually. These ventures, once deemed risky, illustrate a consistent strategy: invest early in transformative technologies.

Betting Big on the Future

Alphabet’s $75 billion capex initiative should not be viewed as reckless but rather as a continuation of a time-tested strategy that has historically produced significant value. While competitors like DeepSeek and Mistral prioritize cost and efficiency, Alphabet is focused on laying the groundwork needed to redefine the next iteration of the internet.

In hindsight, today’s investments may prove prescient, as Alphabet aims not merely to participate in the AI landscape—but to shape its very future.


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  • The author, Nadine Chetty-Khan, is a research analyst at Private Clients by Old Mutual Wealth.

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This exploration of Alphabet’s hefty investment strategies raises critical questions for the industry and investors alike. As AI continues to evolve, will Alphabet’s approach at some point be deemed visionary or simply excessive? Only time will tell.

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