Warren Redlich
AI Stocks Report, Equity & Options Strategies
Google is among the biggest AI winners because inference demand is outgrowing supply and will for at least three to five years, so AI pricing will rise and the winners will have the most inference compute at the lowest cost: Google, SpaceX and China. @HedgieMarkets notes Microsoft canceled internal Claude Code licenses over token-billing costs, Uber's CTO warned it burned its 2026 AI budget in four months, and US AI software prices have jumped 20-37%. x.comÂ
Google holds the cost advantage in AI because it owns a frontier model, its own compute and its own chips, and inference compute cost is everything. OpenAI and Anthropic buy compute from others and pay more for it; Google pays Broadcom only part of the margin Elon Musk's companies pay Nvidia. Since most frontier models are already good enough for many tasks, such as coding, the lowest-cost provider is well placed. x.comÂ
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
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
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
Google's compute shortage could create a premium short-term customer opportunity for Nebius. Google said it began using third-party compute in Q3 and will ramp usage in Q4; it fits the time-bound customers Nebius targets for three-to-six-month contracts at $40-50 million per MW, potentially more. A Google deal is only a possibility. x.comÂ
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
AI usage outstripping compute supply for the foreseeable future supports semiconductor demand despite cheaper tokens. Token prices fell about 90% in roughly three months, yet usage rose by more than that drop, so compute pricing keeps rising. AI revenue extends beyond LLM providers, including Meta, Google, Salesforce and ServiceNow. On- and off-balance-sheet debt is a risk; an AI bubble is likely eventually, but none is visible now. x.comÂ
Google's move to buy third-party compute amid supply constraints points to overflow demand for IREN's energized power and liquid-cooled NVIDIA capacity. Google says third-party usage began at the end of Q3 and will ramp in Q4; IREN also has a multi-GW development pipeline and fresh GPU financing. Extremely bullish. x.comÂ
AI hyperscalers' heavy bond issuance can crowd out the corporate AI spending they depend on. After hyperscalers flooded the bond market all summer, a company rolling its Covid-era debt 5% higher has less left for an AI budget. And if every valuation and megatech management guide rests on commitments from Anthropic and OpenAI, they rest on unaudited financials never reported to the SEC. x.com x.comÂ
AI infrastructure bottlenecks could give eight stocks as much as 18x upside. Nvidia supplies frontier-model GPUs; Broadcom and Marvell supply custom silicon and networking; TSMC makes advanced chips; Micron supplies sold-out HBM; Vertiv provides power and cooling; Palantir monetizes enterprise AI; Alphabet spans TPUs, research, cloud and apps. The list tracks where AI infrastructure spending is flowing. x.com x.comÂ
