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Alphabet’s updated fair value estimate has moved from US$330.24 to US$376.86 per share, a meaningful reset that puts the new price target front and center for investors. Behind that shift is a fresh round of analyst work focused on AI, heavy compute investment, and how Gemini partnerships and cloud adoption might influence long term cash generation and risk. In the sections that follow, you will see how this evolving narrative is taking shape and what you may want to watch as new data points arrive.
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Multiple firms have lifted their price targets materially, including Tigress Financial to US$415, Canaccord to US$390, Wolfe Research to US$380, Scotiabank to US$375, and Wells Fargo to US$370, reflecting fresh work on AI, Gemini and cloud adoption.
Wells Fargo and Cantor Fitzgerald highlight Alphabet’s position across data, distribution and compute. Wells points to Project Google and a planned increase in compute capacity to 35GW by 2028, which they see as central to AI product rollout.
BofA, TD Cowen and Canaccord point to traction for Gemini models, Gemini powered partnerships with Apple and Walmart, and survey work that cites Google Search return on ad spend, all feeding into higher valuation frameworks among covering analysts.
HSBC’s broader software view argues that AI is likely to be embedded within existing platforms. It cites Alphabet among software exposed names it covers that are seen as well placed to build and distribute AI driven products.
Some firms, including Wells Fargo and Raymond James, flag risks around already rerated multiples, execution on heavy AI and compute investment, and, in the case of potential PayPal interest, the complexity of any large scale acquisition actually translating into improved economics.
Do your thoughts align with the Bull or Bear Analysts? Perhaps you think there’s more to the story. Head to the Simply Wall St Community to discover more perspectives!
We’ve flagged 1 risk for Alphabet. See which could impact your investment.
Apple has entered a multiyear partnership to use Google Gemini models and cloud technology for AI powered Siri and Apple Intelligence features, with processing aligned to Apple privacy standards.
Meta Platforms has agreed to rent Google’s tensor processing unit AI chips in a multiyear deal described as being worth billions of dollars to support new AI models.
Alphabet is planning a major expansion in India, with leases and options for up to 2.4 million square feet of office space in Bengaluru that could house as many as 20,000 additional staff.
AES and Google announced long term power purchase agreements and co located generation assets to serve a new Google data center campus in Wilbarger County, Texas, connecting energy supply with data center build out.
