Morgan Stanley spotlights Alphabet's AI chip and cloud expansion as a major growth driver, but warns that surging capital expenditures and margin pressures could challenge investor confidence in the near term.
Alphabet entered 2026 with elevated expectations after its stock climbed nearly 66% in 2025, propelled by enthusiasm for Google's artificial intelligence initiatives, robust cloud performance, and the resilience of its Search business. Despite an additional 10% gain this year, Alphabet shares have declined 9% over the past three months as investors scrutinize the costs and uncertain returns of its intensified AI investments.
Google began recognizing revenue from the sale of its proprietary TPU chips to external clients for the first time in Q2 2026, marking a new source of growth for Alphabet.
TPU Sales: Expanding Revenue Streams
Morgan Stanley reiterates its Overweight rating and $400 price target for Alphabet, implying nearly 15% upside from the August 21 closing price of $344.82. The firm's thesis centers on Google's ability to generate substantial revenue by selling its proprietary Tensor Processing Unit (TPU) systems to external customers. Morgan Stanley now estimates Alphabet could monetize first-party TPU sales at nearly $27 billion per gigawatt, up from a previous $20 billion estimate, with gross margins rising to 30% from 20%.
This revision follows reports that Google may supply approximately 1 million TPUs-representing 1.3 gigawatts of capacity-for about $35 billion. An expanded partnership with Marvell Technologies supports the view that TPU pricing is stronger than previously assumed. Morgan Stanley projects Google will sell 0.3 GW of TPU systems in the second half of 2026, 3.2 GW in 2027, and 4.2 GW in 2028. This equates to $84 billion in TPU-related Google Cloud sales in 2027 and $108 billion in 2028, representing 35% and 37% increases over earlier forecasts.
Recent market reviews highlight that Alphabet's heavy AI investments have led to negative free cash flow in the latest quarter, increased debt, and substantial infrastructure spending. This financial pressure is fueling debate among investors about the timeline for Alphabet's AI strategy to pay off.
Margin Pressures and Capital Allocation Risks
Despite the optimistic outlook, significant trade-offs remain. TPU hardware yields lower margins than Google's core cloud services, prompting Morgan Stanley to reduce its cloud margin estimates to 37% in 2027 and 40% in 2028. However, incremental margins for core cloud services are expected to remain near 50%, indicating continued profitability even as hardware sales expand.
Alphabet's capital expenditures are under increased scrutiny. The company raised its 2026 capex forecast to as much as $205 billion, intensifying concerns about whether AI investments will generate adequate returns. This tension between spending and profitability is not unique to Alphabet; according to BigGo Finance, Amazon, Meta Platforms, Microsoft, and Oracle are projected to spend a combined $750 billion on data centers in 2026, underscoring the industry-wide challenge of monetizing AI and sustaining free cash flow.
For further analysis of how large-scale capital spending can impact technology sector valuations, see this review of market risks when input costs surge: how rising input costs can threaten U.S. stock performance.
Gemini 4 and Competitive Positioning
Morgan Stanley identifies the upcoming Gemini 4 AI model as a potential catalyst for Alphabet. Expected to launch in late 2026 or early 2027, Gemini 4 could help restore Google's competitive edge following delays and performance issues with Gemini 3.5 Pro. CEO Sundar Pichai has described Gemini 4 as a significantly larger and more ambitious model, with a faster release cadence.
Google is also advancing its Flash models, which emphasize speed and cost efficiency-critical as enterprise clients transition from AI experimentation to large-scale deployment. Independent testing has ranked Gemini 3.7 Flash among the top models for intelligence and speed, with nearly 950 million monthly active users now using Gemini, approaching ChatGPT's reach, according to Reuters.
The key challenge for Alphabet is converting these technological advances into sustainable revenue by integrating Gemini across Search, YouTube, and other products. While success could drive ongoing sales growth, execution risk remains substantial.
Investor Considerations and Downside Risks
For investors, Alphabet's trajectory depends on its ability to realize AI-driven growth while managing spending and margins. Morgan Stanley's $400 price target reflects a valuation of 24 times average 2027-2028 earnings, compared to about 19 times at recent prices. Achieving this valuation will require both higher earnings and investor willingness to pay a premium for Alphabet's growth prospects.
Risks remain material. If advertising revenue slows, AI investments compress margins, or spending discipline weakens, Morgan Stanley's bear case projects Alphabet stock could fall to $225. The firm advises existing shareholders to hold through volatility rather than react to capex-driven declines, while new investors may consider building positions gradually and monitoring key metrics such as TPU sales, cloud margins, Gemini's market standing, and free cash flow.
Alphabet's future appeal will depend on whether its AI investments consistently deliver both revenue and profit growth. If monetization lags behind spending, the very investments driving optimism could become a constraint on the stock's performance.
In the second quarter of 2026, Alphabet reported $119.8 billion in total revenue, with Google Cloud contributing $24.8 billion. The company's capital expenditures reached $205 billion for the year, reflecting the scale of its AI and infrastructure investments. These figures underscore the financial magnitude of Alphabet's strategy and the importance of disciplined execution as the technology sector undergoes rapid transformation.
