Alphabet’s GOOGL bull case leans on AI cloud momentum and Anthropic tie-ins, as the company funds more compute

A market write-up published June 8, 2026 that asks whether Alphabet Inc. (GOOGL) is “a good stock to buy now” highlights a bullish view built around Alphabet’s artificial intelligence strategy, particularly Google Cloud’s growth and how Google is adapting search to generative AI. The write-up says GOOGL was trading at $368.53 as of June 5, and cites Yahoo Finance-reported valuation multiples of 28.11 times trailing earnings and 26.11 times forward earnings.

The thesis argues Alphabet is positioned to benefit from what it describes as an early-stage AI adoption cycle, with Google Cloud as a key channel for enterprise demand. It frames cloud acceleration as a leading indicator because customers are said to be buying more compute, tooling, and model-related services as they pursue AI deployments. It also points to Alphabet’s integrated stack, describing Google Cloud as combining infrastructure with custom TPUs, proprietary AI models, and access to Google’s data ecosystem.

On the consumer and product side, the write-up credits Alphabet’s search franchise and says Gemini integration helps preserve relevance as AI-powered search experiences evolve. It also emphasizes YouTube, advertising reach, and other distribution assets as part of the broader ecosystem that can attach AI features and subscriptions to existing user behavior.

A core pillar of the bullish case is Alphabet’s relationship with Anthropic. Anthropic has previously announced a partnership that includes using Google Cloud to support Claude, and Anthropic has also described general availability of Claude 3 models on Google Cloud’s Vertex AI platform. The write-up goes further, saying the capacity constraints and outages at Anthropic it cites suggest demand exceeds supply, a claim attributed to the thesis rather than supported with detailed, independently verified evidence in the write-up itself.

While investors debate valuation, Alphabet is also making clear that it intends to keep expanding compute. In a June 1, 2026 filing, Alphabet announced proposed equity offerings totaling $80 billion to fund investments in AI compute infrastructure “to meet its unprecedented customer demand.” The plan includes concurrent underwritten offerings totaling $30 billion, plus a $40 billion at-the-market (ATM) program expected to begin in Q3 2026. Alphabet also disclosed an agreement for Berkshire Hathaway to invest $10 billion via a private placement, according to the filing.

Alphabet said the proceeds would be used for general corporate purposes, including capital expenditures to scale AI infrastructure and global compute. It also provided a funding snapshot, saying operating cash flow was $174 billion over the 12 months ended March 31, 2026 and that, over the prior year, it raised more than $85 billion of debt across six currencies and markets, bringing its total debt balance to more than $100 billion. The filing reiterates that Alphabet’s 2026 capital expenditures are expected to be $180 billion to $190 billion, and that 2027 capex is expected to significantly increase from 2026. It ties this spending to business momentum, citing 22% year-over-year revenue growth to $110 billion in Q1 2026, and saying Google Cloud revenue grew 63% year-over-year, with backlog nearly doubling quarter-over-quarter to more than $460 billion, and approximately 50% expected to be recognized as revenue over the next 24 months.

What remains uncertain is whether the optimism in the GOOGL buy question translates into sustained per-share earnings power. The write-up’s upside framing, including forward earnings multiple expansion above 40x and a potential path to $600 per share, rests on assumptions about how quickly incremental compute spending converts into cloud revenue and margins, and how demand for AI tooling behaves over time. Additionally, because Alphabet’s funding plan includes large equity issuance, dilution can pressure near-term per-share metrics even if total business value rises. Investors will likely look for evidence in upcoming disclosures that cloud backlog is converting as expected and that AI subscriptions and enterprise AI demand continue to scale without margin erosion.