Woofun AI reports that Morgan Stanley issued a research note on June 29 elevating its price target for Alphabet from $375 to $415 while maintaining an "overweight" rating. With the stock closing at $353.65 on that date, the revised target implies a potential upside of approximately 20%. The bank observed that GOOGL shares had declined roughly 10% over the preceding month, a movement partially attributed to sustained capital inflows into hardware and semiconductor sectors. Despite this recent volatility, the analysis posits that visibility regarding Alphabet's fundamentals for 2027 and 2028 is strengthening, framing the current price correction as a strategic entry point. The primary catalysts for this valuation adjustment extend beyond traditional search advertising to encompass Google Cloud and the development of Alphabet's proprietary Tensor Processing Units (TPU). Morgan Stanley argues that Alphabet is transitioning into a distinct valuation phase where, contingent upon smooth TPU expansion, Google Cloud could evolve from a revenue generator into a dominant profit center, potentially contributing nearly half of the company's earnings before interest and taxes (EBIT) by 2028.

The financial models underpinning this thesis project Google Cloud revenue to climb to $214 billion in 2027 before surging to $308 billion in 2028.

Concurrently, Google Cloud's EBIT is forecast to reach approximately $132 billion, which would constitute roughly 46% of Alphabet's aggregate EBIT during that period. It is critical to note that these figures represent Morgan Stanley's internal estimates derived from computing power metrics, TPU shipment volumes, external sales projections, and cloud revenue conversion rates, rather than official guidance released by Alphabet. The upward revision of the price target stems directly from a comprehensive reevaluation of the financial models for the 2027 and 2028 fiscal years. Specifically, the report increased total revenue forecasts for 2027 and 2028 by 4% and 1%, respectively, while lifting earnings per share (EPS) estimates by the same margins. Under this recalibrated framework, Alphabet's EPS for 2028 is projected to hit $19. The $415 target price aligns with a price-to-earnings (P/E) ratio of approximately 22 times the 2028 EPS, or 23 times based on the average EPS across the 2027 and 2028 period. The analysis highlights that based on the new 2028 EPS projection, GOOGL's current valuation stands at roughly 18 times earnings, a figure notably lower than its long-term average of around 21 times. Morgan Stanley contends that if Google Cloud and AI-related business segments demonstrate profit elasticity, the company warrants a higher valuation multiple.

A central tension identified in the research is the market's apprehension regarding the capital expenditure pressure associated with Alphabet's massive investments in AI hash rate capabilities. Conversely, Morgan Stanley asserts that these outlays are poised to convert into tangible revenue streams through Google Cloud services, external TPU sales, and the monetization of core AI products. The upward revision to Google Cloud forecasts is fundamentally anchored in a reassessment of hash rate capacity. The report estimates that Alphabet will add approximately 9 GW of rack power capacity by 2028, comprising roughly 7 GW derived from TPU infrastructure and about 2 GW from NVIDIA GPUs.

Furthermore, the forecast for additional capacity in 2027 has been adjusted upward from 5.2 GW to 6.9 GW. This modeling approach moves beyond a simple assumption of "stronger AI demand"; instead, it derives Google Cloud revenue directly from ASIC shipments, rack power availability, and deployable hash rate capacity. A pivotal assumption within the report is that core Google Cloud revenue will generate $152 billion in 2027 and $229 billion in 2028, calculated at rates of $15 and $18 per watt, respectively. The report further assumes that by 2028, approximately half of Alphabet's new hash rate capacity will be allocated to Google Cloud, while the remaining half will support core internal products such as search, AI Agent, and YouTube. This structural allocation indicates that TPU expansion serves a dual purpose: bolstering cloud service offerings and accelerating the commercialization of Alphabet's internal AI ecosystem.

Woofun AI data shows that the projected surge in Google Cloud revenue to $308 billion is driven not solely by core cloud services but significantly by TPU outsourcing strategies. Morgan Stanley predicts that by 2028, Alphabet will retain approximately 5 GW of TPU capacity for internal use and cloud workloads, while divesting about 4 GW of its in-house TPU to external customers. The report estimates that these in-house TPU sales will contribute roughly $62 billion and $79 billion to Google Cloud revenue in 2027 and 2028, respectively. This specific revenue stream is identified as a key variable responsible for the total Google Cloud revenue increase from $229 billion to $308 billion. The analysis further dissects the unit economics of TPU outsourcing, assuming a gross margin for in-house TPU system sales of around 20%. Under this model, each GW of TPU outsourced is expected to generate approximately $20 billion in revenue, with sales primarily executed in the form of rack systems rather than complete data center enclosures. The report explicitly acknowledges that this gross margin figure requires verification through additional channels and future disclosures. This aspect represents a notable shift in the narrative: while Google is traditionally viewed as an AI model and cloud service provider, this framework suggests an expansion into AI infrastructure supply. If external customers demonstrate a willingness to purchase TPU systems, the revenue opportunities for Google Cloud could expand substantially.

However, significant disagreements persist regarding this trajectory. Factors such as the TPU ecosystem maturity, software compatibility, customer migration costs, and supply chain expenses, including those related to Broadcom, all influence the potential scale of outsourcing and achievable gross margins. Should the 4 GW outsourcing target or the 20% gross margin assumption fail to materialize, both Google Cloud revenue and EBIT projections would necessitate downward revisions.

Revenue growth must ultimately translate into profitability for the valuation thesis to hold. Morgan Stanley expects Google Cloud revenue to grow by 106% in 2027 and 44% in 2028, culminating in the $308 billion figure by 2028. More critically, the report forecasts that Google Cloud's EBIT will reach approximately $132 billion in 2028, accounting for about 46% of the company's total EBIT. This projection implies that if the models prove accurate, Google Cloud will cease to be merely a high-growth segment and will instead emerge as one of Alphabet's most significant profit drivers. While search ads remain the foundational revenue source, the valuation weight assigned to cloud services is set to increase dramatically. This dynamic explains the rationale behind raising the target price to $415. The report outlines several valuation scenarios: the base case of $415 corresponds to a P/E ratio of 23 times the average EPS for 2027 and 2028; a bullish scenario suggests a price of $480, while a bearish scenario points to $250. The breadth of these valuation ranges underscores the substantial market disagreement regarding TPU external sales, cloud profit margins, and the broader monetization of AI. Higher revenue and profit assumptions inevitably demand greater capital expenditure. Consequently, Morgan Stanley has raised its forecast for Alphabet's capital expenditure in 2027 from $300 billion to $350 billion, with an estimated $375 billion required for 2028. This increase is primarily driven by the need for higher TPU capacity and expanded infrastructure, which will exert direct financial pressure on the company. Under the report's model, Alphabet's depreciation expenses are expected to rise from approximately $34.5 billion in 2026 to around $70.2 billion in 2027, reaching roughly $117.6 billion in 2028. Free cash flow will also be impacted, turning negative in 2027 before recovering to approximately $23.2 billion in 2028.

Morgan Stanley identifies two potential mitigating factors that could alleviate some financial strain. First, Alphabet might increasingly rely on leasing data centers or partnering with financial institutions rather than constructing data center enclosures entirely on its own. Second, as MediaTek increases its contribution to TPU supply, certain TPU hardware costs may prove lower than those estimated based on Broadcom's architecture.

However, these remain assumptions embedded within the model rather than confirmed realities. The market's current focus has shifted from questioning whether Alphabet will continue to invest in AI to scrutinizing whether these investments can be effectively translated into revenue, profits, and cash flow. Behind the $415 target price lies a clear chain of validation that must be satisfied: whether TPU shipments can proceed according to plan, whether external customers are willing to purchase TPU systems, whether Google Cloud can successfully convert increased hash rate capacity into revenue, and whether the EBIT margin of cloud services can continue to improve. If these sequential steps succeed, Alphabet's valuation logic will fundamentally shift from that of a search advertising company to that of an AI infrastructure and cloud profit platform. Conversely, if any step falls short of expectations, the high capital expenditure will pose immediate financial pressure. This marks a critical juncture where execution risk directly dictates the divergence between the bullish and bearish valuation scenarios.