Key Takeaways
- Alphabet (Google) participates in virtually every layer of the AI value chain—large language models, custom AI chips, AI‑enabled applications, and cloud infrastructure.
- Its Gemini family of LLMs powers core products like Search, Ads, and YouTube and is also offered as a stand‑alone service comparable to ChatGPT.
- To reduce reliance on external GPUs, Alphabet co‑developed Tensor Processing Units (TPUs) with Broadcom, which now serve both internal workloads and third‑party customers via Google Cloud.
- Google Cloud’s AI‑related revenue surged 82% year‑over‑year in Q2, with operating margin expanding from 20.7% to 35.6%, providing a high‑margin, recurring revenue stream.
- Despite a mature advertising business that tempers overall growth, Alphabet’s AI segments are delivering >20% revenue expansion, and analysts forecast ~22% full‑year growth for 2027.
- The company’s cash‑generating legacy business funds AI investments, making it a lower‑risk way to capture upside from the AI boom.
Alphabet’s Fingerprints Are Everywhere in the AI Realm
Alphabet’s involvement in artificial intelligence is so pervasive that “regardless of where you go in AI, Alphabet has likely been there,” the article notes. The tech giant has built a suite of leading large language models (LLMs) that underpin many of its flagship products. These models have already been woven into Google Search, its advertising tools, and YouTube, while the Gemini model is also available as a standalone offering that users can interact with just as they would OpenAI’s ChatGPT. This breadth gives Alphabet a unique position: it not only creates the foundational AI technology but also immediately deploys it across its massive consumer‑facing ecosystem.
From Nvidia GPUs to In‑House TPUs
Running state‑of‑the‑art LLMs demands enormous compute power, and Alphabet initially relied heavily on Nvidia GPUs for training and inference. Recognizing the strategic risk of being tethered to a single supplier, the company “saw the writing on the wall years ago” and embarked on a partnership with Broadcom to develop its own AI accelerator. The result is the Tensor Processing Unit (TPU), a custom chip designed expressly for tensor‑heavy workloads. While TPUs excel only when the workload is properly configured for their architecture, they can outperform GPU‑based systems in many AI tasks, giving Alphabet a competitive edge in the compute layer of the AI stack.
TPUs: From Internal Advantage to External Product
Within its niche, the TPU’s performance has become “legendary,” prompting Alphabet to begin selling the chips to third parties. This move transforms a former internal cost‑saving measure into a new revenue stream. By offering TPUs on the market, Alphabet not only monetizes its silicon expertise but also encourages broader adoption of its architecture, potentially locking more developers into its ecosystem. The dual use—internal optimization and external sales—illustrates how the company leverages its hardware investments to strengthen both its AI capabilities and its bottom line.
Google Cloud as the Primary TPU Delivery Channel
The chief way clients access Alphabet’s TPUs is through Google Cloud, which the article describes as “a long‑term beneficiary of the AI build‑out.” Many AI startups lack the capital to construct their own AI‑ready data centers, so they rent compute from cloud providers. Google Cloud’s usage‑based billing model creates a predictable, recurring revenue stream that scales with the growing demand for AI workloads. As AI adoption accelerates, the cloud division stands to capture an expanding share of spend, turning its infrastructure investments into a durable profit engine.
A Full‑Stack AI Player
Alphabet’s reach extends beyond models and chips into applications and services. Whether it’s integrating LLMs into Search to deliver richer answers, enhancing YouTube’s recommendation engine, or offering AI‑driven tools for advertisers, the company touches nearly every part of the sector. This holistic involvement means that improvements in one area—say, a more efficient TPU—can immediately boost performance across multiple products, creating synergistic gains that pure‑play AI firms often struggle to replicate.
Strong Financial Momentum in Q2
The quarterly results underscore the effectiveness of Alphabet’s AI‑centric strategy. In Q2, total revenue rose 24% while operating income increased 30%. The standout performer was Google Cloud, whose revenue jumped 82% year‑over‑year and whose operating margin expanded from 20.7% to 35.6%. As the article puts it, “Alphabet crushed its Q2 results,” reflecting how the cloud’s AI‑related workloads are translating into top‑line growth and improved profitability.
Analyst Expectations Point to Continued Outperformance
Looking ahead, Wall Street analysts project sustained momentum. For Q3 and Q4 of the current year, they anticipate 24% year‑over‑year revenue growth each quarter, with full‑year 2027 growth averaging around 22%. While these forecasts are ambitious, the article notes that “if Alphabet can meet them, it’s clearly a top stock choice.” The expectation is that the company’s AI investments will continue to drive double‑digit expansion, outpacing many peers that rely on a single AI niche.
Investment Thesis: A Low‑Risk, High‑Reward AI Play
Alphabet’s unique advantage lies in its ability to fund aggressive AI bets with the cash generated from its entrenched advertising business. This financial cushion reduces the volatility associated with pure‑play AI startups while still offering exposure to the sector’s upside. The author concludes that “Alphabet will emerge as one of the big winners of the AI boom because it is doing everything so well,” recommending the stock as a smart buy now. If the firm can maintain a ~20% annual growth rate over the next several years, it is poised to “easily crush the market,” making it a compelling candidate for long‑term investors seeking both stability and AI‑driven growth.
https://www.fool.com/investing/2026/09/01/not-nvidia-not-openai-this-artificial-intelligence/