On August 7, Google Cloud switched on Google Security Operations in its new Taiwan Region, giving local banks, hospitals and chipmakers an AI-powered defense platform they can run without sending sensitive data offshore. It’s a small announcement next to Alphabet’s (NASDAQ:GOOGL) roughly $4.6 trillion market value, but it captures why investors are paying attention. Alphabet keeps turning AI into products regulated industries will pay to run on their own terms, and that pattern shows up across the business.

Bull Case: A Cloud And Chip Engine Firing Together
The Taiwan launch fits a broader push. Google Cloud revenue jumped 82% to $24.8 billion last quarter, and the segment’s operating margin climbed from 20.7% to 35.6% over the same stretch, proof that scale is finally showing up in profit, not just growth. Part of that strength comes from a business model that doesn’t depend on who wins the AI race. Anthropic pays Google Cloud for computing power even while competing against Alphabet’s own models, and that kind of recurring usage revenue keeps flowing regardless of which lab’s chatbot wins.
Alphabet is also pushing further into chips. The company recently began selling its custom Tensor Processing Units directly to outside customers for use in external data centers, a direct challenge to Nvidia’s grip on the roughly $300 billion AI accelerator market. D.A. Davidson’s Gil Luria has floated Alphabet capturing 20% of AI infrastructure spending, which would value the chip business near $900 billion, while Morgan Stanley expects custom silicon to reach 24% of accelerator sales by 2030, up from 15% today. The Taiwan security launch shows that same platform reach extending into compliance-heavy sectors like finance and healthcare, widening the base of customers Alphabet can sell to.
Bear Case: The Bill Behind The Growth
None of this comes cheap. Alphabet raised its 2026 capital expenditure guidance to a range of $195 billion to $205 billion, and quarterly capex has climbed for five straight quarters, doubling year-over-year to $44.9 billion last quarter. That spending eventually shows up as depreciation, a charge that grows every year and has to be outrun by profit growth.
The headline numbers also need a closer look. Net income nearly quadrupled to $112.1 billion last quarter, but $6.26 of the $9.11 in EPS came from a $99 billion gain on equity securities that is mostly unrealized. Strip that out and underlying earnings were closer to $2.85 per share, which puts the stock nearer 28x forward earnings than the 19x headline multiple suggests. On the chip side, Nvidia’s CUDA software remains a deep moat, since switching a team’s pipelines off it is expensive, and TPUs are built for narrower workloads than general-purpose GPUs.
What The Market Is Pricing In
Hedge fund ownership of GOOGL slipped from 288 funds to 265 in the most recent quarter, a sign some institutions trimmed positions. Short interest is minimal at just 1.34% of float, showing little organized bearishness. The stock’s forward P/E of 18.42 sits well below the three-year average of 25x earnings that Alphabet has traded at, which is a cheap starting point if the underlying growth holds.
Where This Leaves Investors
For the growth story to keep working, Cloud and TPU sales need to keep outrunning the depreciation from $200 billion in annual spending. For the skeptics, the risk is that the one-time investment gain flatters current earnings while Nvidia’s software moat limits how much of the chip market Alphabet can actually take.
While we acknowledge the risk and potential of GOOGL as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and doing so within a shorter time frame. If you are looking for an AI stock that is more promising than GOOGL and that has 10,000% upside potential, check out our report about this cheapest AI stock.
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