Artem Voloskovets
The numbers tell the story. Annual net share repurchases climbed from just $1.8 billion in 2015 to $62.2 billion in 2024. Few companies in history have retired stock at that pace. Alphabet became one of the largest buyers of its own shares, providing a powerful tailwind for earnings per share and long-term shareholder returns.
What stands out in the chart isn't the rise. It's what happens after the peak.
Buybacks reached $59.3 billion in 2022, increased to $61.5 billion in 2023, and hit a record $62.2 billion in 2024 before dropping to $45.4 billion in 2025. On its own, that decline may not look significant. In the context of Alphabet's broader spending priorities, it could mark the beginning of a much larger shift.
The company disclosed in its latest annual report that capital expenditures surged from $32.3 billion in 2023 to $52.5 billion in 2024. Management tied that increase directly to investments in servers, networking equipment, data centers, and infrastructure supporting AI products and services.
In 2024, Alphabet spent $62.2 billion buying back stock and $52.5 billion building infrastructure. The gap between those two figures is much smaller than it was just a few years ago.
The more interesting question is not whether buybacks remain large. It is whether they remain the largest destination for excess cash. The economics of AI are different from the economics of traditional software. Expanding cloud capacity, deploying custom chips, building data centers, and securing power require enormous amounts of capital. Unlike previous technology cycles, leadership increasingly depends on physical infrastructure.
That creates a tradeoff that barely existed a decade ago. Every additional dollar committed to AI infrastructure is a dollar that cannot be spent repurchasing shares. For years, Alphabet could comfortably do both. As AI spending accelerates, the balance becomes harder to maintain.
This is why the buyback chart may be telling a story far bigger than shareholder returns. The market has spent the last two years debating which company will generate the most revenue from AI. The more immediate battle may be over which company is willing to commit the most capital to support it.
Alphabet is not alone. Microsoft, Meta, Amazon, and other large technology companies are pouring tens of billions of dollars into infrastructure. The competitive advantage no longer comes solely from software. It increasingly comes from owning the compute, networking, and data-center capacity needed to run AI at scale.
Viewed through that lens, slowing buybacks would not necessarily signal weakness. It could signal a different priority. For most of the 2010s, the defining feature of Big Tech was excess cash generation. The defining feature of the next decade may be how aggressively that cash is reinvested. The chart appears to track Google's buyback history. It may ultimately mark something else: the point at which AI infrastructure began competing with shareholder returns for the company's largest pool of capital.
Artem Voloskovets
