Alphabet leans on DeepMind and artificial general intelligence to drive long term value

Alphabet is using DeepMind’s scientific breakthroughs, viral storytelling, and large infrastructure spending to anchor its artificial general intelligence ambitions and stock market momentum. The company is tying Nobel Prize winning research, public sentiment, and major United Kingdom investments into a narrative of durable long term value creation.

Alphabet is positioning itself as a leading contender in the race toward artificial general intelligence by tightly integrating DeepMind with Google Artificial Intelligence and emphasizing long horizon research over near term monetization. The creation of Google DeepMind in 2023 unified DeepMind with Google Brain and accelerated work on systems such as AlphaProof and AlphaGeometry 2, which the company highlights as evidence of emerging cross task reasoning. Chief executive Demis Hassabis has framed this strategy as a focus on “the profound over the prosaic,” signaling to investors that Alphabet intends to prioritize foundational breakthroughs that can support durable value creation rather than quick commercial wins.

DeepMind’s scientific achievements are central to this story. AlphaFold’s Nobel Prize in Chemistry 2024, awarded to Demis Hassabis and John Jumper for predicting protein structures with atomic precision, cemented the division’s reputation as a serious research powerhouse. By opening access to AlphaFold, which has predicted over 240 million protein structures, Alphabet is positioning itself at the intersection of artificial intelligence and life sciences, with potential payoffs in drug discovery and biomedical innovation. At the same time, the viral documentary The Thinking Game, released in November 2025, has humanized that research journey, drawing 200 million views in just four weeks and attracting attention from public figures such as Ivanka Trump. The film’s emotional framing and focus on the path from AlphaFold’s Nobel recognition to broader artificial general intelligence efforts have helped translate technical work into a narrative that general audiences and investors can understand.

This narrative has been reinforced by explicit infrastructure and financial signals. Alphabet’s £5 billion investment in the United Kingdom, including an automated science laboratory focused on materials science and tools like AlphaEvolve and AlphaGenome, showcases a long term commitment to artificial intelligence driven research in areas such as clean energy and nuclear fusion, developed in partnership with the United Kingdom government. These efforts fit into a broader $75 billion artificial intelligence spending program for 2025, which is intended to scale computing and model infrastructure to support artificial general intelligence research. Financial markets have responded: Alphabet’s stock has surged 66.7% year to date in 2025, reaching a market capitalization of $3.8 trillion, supported by artificial intelligence assisted search and advertising that contributed to a record $100 billion quarterly revenue in Q3 2025. Despite concerns about monetizing artificial intelligence, the stock trades at a forward P/E of 24.94, which is below an estimated fair value of 30.7x, and analysts have raised price targets to $375, arguing that Alphabet’s economic moat in digital advertising, YouTube, and artificial intelligence infrastructure, combined with the Nobel Prize and The Thinking Game, has shifted sentiment toward confidence in its ability to turn artificial general intelligence research into commercial value.

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