Alphabet’s $185 Billion TPU Bet Risks Being Undermined by DeepMind’s Brain Drain
Published on 06/29/2026 at 15:13 | Redaktion boerse-global.de
Alphabet is pouring more money into custom AI chips than ever before, but a steady exodus of its top researchers is raising doubts about whether the hardware alone can deliver on the company’s ambitious product roadmap. The tension between massive capital expenditure and human capital flight has come into sharp focus as the stock slips toward a technical danger zone.
A Five-Billion-Dollar Infrastructure Venture
In May 2026, Google and Blackstone formed a joint venture valued at $5 billion, with the goal of deploying 500 megawatts of TPU-based computing capacity by 2027. The eighth-generation Tensor Processing Units — split into the training-focused TPU 8t and the inference-optimized TPU 8i — are designed to power Google’s Gemini chatbot and support its broader push toward autonomous AI agents. Benjamin Treynor Sloss, formerly responsible for Google’s global infrastructure, will lead the new entity.
The arrangement goes beyond traditional cloud leasing: customers will be able to purchase TPUs for deployment in their own data centers. The move is part of Alphabet’s strategy to reduce reliance on external chip suppliers and improve energy efficiency compared with standard GPUs.
Cloud Revenue Surges, but Costs Are Soaring
Google Cloud generated over $20 billion in revenue in the first quarter of 2026, a 63% year-on-year jump. Analysts expect full-year cloud sales of around $96 billion, representing roughly 64% growth. Alphabet’s total first-quarter revenue reached $109.9 billion, up 22% from a year earlier — the eleventh consecutive quarter of double-digit expansion.
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That growth, however, comes at a steep price. Alphabet has set its 2026 capital expenditure budget between $175 billion and $185 billion, nearly double the $91 billion spent in 2025. The company expects another increase in 2027. The proprietary TPU infrastructure is seen as a key cost lever: more computation per dollar and lower power consumption than off-the-shelf alternatives.
A Talent Exodus That Hits Close to Home
While Alphabet bulks up on hardware, its human capital is leaking to rivals. The most damaging departure is Noam Shazeer, co-leader of the Gemini project and co-author of the landmark Transformer paper, who has moved to OpenAI. Alphabet had spent roughly $2.7 billion to buy back Shazeer’s startup and reassemble his team less than two years ago — an investment that now yields no return.
The losses extend beyond Shazeer. Nobel laureate John Jumper, who led the AlphaFold project, along with researchers Jonas Adler, Alexander Pritzel and Arthur Conmy, have left for Anthropic. Analysts warn that these departures directly threaten Alphabet’s long-term research agenda.
The internal trigger appears to be a reorganisation this spring that refocused DeepMind as an “AI Coding Strike Team” — an attempt to close the gap with Anthropic and OpenAI in code-generation AI. The shift generated friction within the research team, contributing to a delay in the release of Gemini 3.5 Pro from June to July 2026.
Alphabet at a turning point? This analysis reveals what investors need to know now.
Stock Sinks into Oversold Territory
Alphabet shares closed on Friday at €296.70, barely above their 100-day moving average of €291.33. The stock has lost roughly 9% over the past 30 trading days, and its relative strength index of 34.3 indicates oversold conditions. Despite the slide, Jefferies maintains a price target of $445 and a Buy rating.
On a twelve-month view, Alphabet has still gained about 98%, providing a solid base. But the next few weeks will be pivotal: the July launch of Gemini 3.5 Pro will reveal whether the talent losses have materially affected the product. For now, Alphabet’s infrastructure ambitions are clear, but its ability to match them with top-tier human capital remains an open question.
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