• European regulators have moved toward enforcing Digital Markets Act rules on Google, including proposed requirements to share certain search and AI chatbot related data with rivals.
• Alphabet is in talks with the U.S. Department of Defense about supplying Gemini AI models for use in classified settings.
• Anthropic’s recent growth is tied to Alphabet’s 14% stake and its role as infrastructure and chip provider, positioning Alphabet alongside key AI compute suppliers.

For investors following Alphabet, ticker NasdaqGS:GOOGL, these developments touch the company’s core search business, cloud offering, and AI ambitions at the same time. Alphabet still earns much of its money from Google search and related services, while also building out Gemini and cloud infrastructure that support external AI players such as Anthropic. The Digital Markets Act process and Pentagon discussions both sit on top of this mix of advertising, cloud, and AI infrastructure activity.

The potential requirement to share search and AI related data in Europe could affect how Google structures its services and partnerships. At the same time, deeper involvement with the U.S. defense sector and closer ties with Anthropic may open new use cases for Gemini and cloud infrastructure over the long term. Together, these updates give you fresh context for how NasdaqGS:GOOGL is exposed to regulation, government demand, and third party AI workloads.

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For Alphabet, the Digital Markets Act process in Europe points directly at the foundation of its search and ads engine. If regulators eventually require Google to share ranking, query, click, and view data on fair and non discriminatory terms, that could dilute some of the data advantage that feeds both traditional search results and AI-powered products. Any mandated access pricing or usage limits would also introduce a more regulated layer into a part of the business that has historically been proprietary. In parallel, talks to deploy Gemini models in classified Department of Defense environments and Anthropic’s rapid growth on Google chips and cloud highlight how deeply Alphabet is tied into high value AI workloads. These deals sit in areas that are often less sensitive to consumer regulation and can support long contract cycles, but they also bring closer scrutiny around ethics, safety, and data handling. For you as an investor, the tension between tighter oversight in Europe and expanding government and enterprise AI usage is central to how you think about Alphabet’s risk profile and operating flexibility.

How This Fits Into The Alphabet Narrative

• The DMA process and Anthropic’s dependence on Google Cloud both connect directly to the narrative that Alphabet sits at the center of large scale AI deployment, with search data and custom chips as key inputs for monetizing AI across products.
• Regulatory pressure in Europe challenges the idea that Alphabet can fully control how its data and search signals support AI experiences, especially as legal and privacy risks are already highlighted in the narrative.
• Potential Gemini work with the Department of Defense, including contract language around surveillance and weapons, introduces a high profile use case that may not yet be fully factored into expectations for how AI ethics and government relationships affect future business decisions.

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The Risks and Rewards Investors Should Consider

• ⚠️ Regulators in Europe are focusing on how Alphabet uses and shares search and AI related data, and analysts already flag ongoing legal and regulatory pressure as a key risk to its business model.
• ⚠️ A growing mix of government, defense, and highly sensitive AI use cases raises reputational and policy risk if anything goes wrong with Gemini deployments or with how Anthropic and other partners use Alphabet infrastructure.
• 🎁 Earnings are forecast to grow 12.06% per year, and access to classified workloads and fast growing AI customers like Anthropic provides additional ways for Google Cloud and Gemini to participate in that trajectory.
• 🎁 Earnings grew by 32% over the past year, and deeper AI workloads on Alphabet’s own chips and data centers give the company more ways to connect that profit base to long term AI and cloud demand.

What To Watch Going Forward

From here, it is worth tracking how the final DMA decision in July defines what “fair, reasonable and non discriminatory” data access looks like for search and AI tools, and whether Alphabet signals any financial impact on reporting for Google Services. On the U.S. side, watch for confirmation of a Gemini agreement with the Department of Defense, including stated revenue scope, guardrails, and how management talks about similar opportunities with other agencies. It also helps to monitor Anthropic disclosures about infrastructure choices and any comments from Alphabet on AI-related capital expenditure and cloud backlog, since these give you a clearer view of how much of the AI compute cycle is landing on Alphabet’s platforms versus rivals like Microsoft Azure and Amazon Web Services.

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This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.