Google DeepMind getting only 15% of Google Cloud's total compute would be an extremely sad position for Alphabet's AI lab. x.comÂ
Zephyr
AI & Semiconductor Analyst at Citrini Research
Alphabet is simply bad at LLM development compared with Anthropic and OpenAI, not choosing to sit out the frontier race. Google DeepMind has likely spent more than either over the past three years, yet even Zhipu, with just $2B-3B spent over its lifetime, beats Google on agentic AI. That rebuts a quoted view praising Google for avoiding the cash-incinerating bet on frontier models. x.comÂ
Alphabet's shift to renting neocloud GPUs threatens significant margin compression while AI monetization remains in doubt. Analysts say Google has yet to find a way to monetize AI. Google said it began using third-party compute at the end of Q3, will ramp usage in Q4 and expects near-term margin headwinds and significantly higher capex in 2027. x.comÂ
Google's allocation of massive TPU capacity to Anthropic strains its own AI effort while its researchers face compute constraints. CNBC reported internal tension; Anthropic competes with Gemini. Google should keep more TPUs for its own AI and buy more NVIDIA GPUs to rent to cloud customers, serving CUDA developers alongside Gemini. Selling TPU systems changes the equation, but Alphabet does not disclose TPU margins, so NVIDIA-like economics cannot be assumed. x.comÂ
Alphabet's AI buildout is hurting near-term operating profit as capex becomes depreciation. Operating income missed by about 6% and margin fell to about 32% from 34%, while much of the roughly 30% EPS miss came from gains and losses on investments, not Search, YouTube or Cloud. AI remains bullish, but the spending is not good for Google in the short term; the $195-205bn 2026 capex range is unchanged and 2027 capex is expected to rise significantly. Alphabet remains Overweight with a $425 target. … Show more
Nebius' software efficiency and a possible end to heavy AI financing support a re-rating. Per @DrTomsLens, its engineers got about 43% more video output from the same GPUs, cutting compute cost per second by 30%; newer hardware alone is not enough without capable software teams. Oracle expects to fund growth from free cash flow in FY2029, suggesting capital-heavy AI providers may eventually outgrow debt and dilution. Google Cloud reported 103% revenue growth amid strong AI infrastructure demand. … Show more
More SpaceX compute capacity could hurt Google, Amazon and Microsoft's AI compute businesses by adding competing supply for Anthropic and other labs. Musk said on a SpaceX call he is fairly confident it can bring an incremental 10GW online in 2027; if it can, that is probably bad news for the major hyperscalers. x.comÂ
Google Cloud's accelerating growth positions it to lead the AI cloud market, strengthening Alphabet beyond Search. It may pass Azure next quarter, then AWS, rising from #3 to #1 in 18-24 months. Selling its Anthropic stake could fund 12-18 months of capex and buybacks, but moving roughly $300B at market price without harming their TPU and Cloud partnership is unlikely. Alphabet is cheaper than Anthropic on sales or earnings multiples; the market likely expects a 2027 capital raise. x.com x.com … Show more
Alphabet's AI Mode monetizes less effectively than traditional Search, potentially threatening its Search business. AI drove the fastest Search query growth in five years, yet Search revenue growth slowed to 12%; defending Search makes even greater AI investment necessary, not optional. Google Cloud grew 103% year over year to a $123 billion annual run rate. The report could not have been better for the AI infrastructure trade, but its risks are bearish for Alphabet's stock. x.comÂ
Alphabet's AI capex payback is being repriced, making its post-earnings decline more than a one-day mood swing. Guidance and cloud and AI margin commentary are the near-term tests. If growth continues but the multiple compresses, the risk is duration in mega-cap AI, not a collapse in technology growth. x.comÂ
Alphabet's AI growth is harder to turn into cash because capacity shortages require rented compute while TPU system sales tie up inventory before delivery. Cloud grew 103%, with system sales contributing meaningfully; management expects rented compute to pressure Q4 Cloud margins. Q3 free cash flow was -$9.1B, partly reflecting inventory build and a one-off EU fine, while AI Mode monetizes less effectively than traditional Search. The dip is probably a buy with a reasonable timeframe. x.com … Show more
Anthropic's compute commitments point to future revenue for Alphabet, Amazon, Microsoft, Broadcom and Nvidia. Its S-1 reports 14-fold revenue growth, positive second-quarter 2026 EBIT and more than $600 billion committed to compute through 2045. The AI trade is alive and well, more than expected, provided demand keeps pace with those commitments. x.comÂ