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.com 

Alibaba is the cleanest public-market bet that Chinese AI labs are innovating rather than just distilling, and that cheaper models drive more usage. If China is innovating, Qwen drives Alibaba Cloud share; if Jevons paradox holds, Alibaba captures the spend across models, compute, data, chips and apps. AI products are already 30% of Alibaba Cloud's external revenue, above a $5B run rate, and the commerce cash engine can carry it through the capex/revenue mismatch. x.com 

Alibaba offers opportunity at $123 as a front-runner in China's AI buildout, particularly if its AI spending shows real returns and it proves it can compete with the US. Over $56 billion of AI and cloud investment over three years has made current free cash flow negative, like US hyperscalers. Cloud growth is expected near 45%, AI products are already 30% of external cloud revenue, and it holds $38 billion of net cash. Cloud growth, capex and guidance will drive the earnings reaction. x.com 

Alibaba's $10.2 billion Hong Kong share placement shows its cash burn has caught up with it, and more dilution is likely. Core China ecommerce makes roughly $30 billion of flat EBIT, half of it reinvested in quick commerce to defend share against PDD. Cloud and AI earns $2 billion of EBIT growing 35% but burns about $10 billion a year in AI-model opex. Pro forma EBIT of about $7 billion collapses after $20-25 billion of annual capex, so Alibaba will keep tapping equity markets. x.com 

Alibaba is a contrarian trade because accelerating demand for relatively cheaper compute is very underappreciated, and China's cloud market is still in its infancy versus the US. Alibaba is a consensus short as upside from closed-source AI looks illusory. x.com  x.com 

Alibaba raising capital for AI after a strong quarter is a buying opportunity, especially with CEO Eddie Wu buying shares right after the raise. In June, heavy buybacks near $94.80 preceded a rally to $132. Stanley Druckenmiller starting a Baidu position, despite saying he would not invest in China under Xi, signals a bet on Chinese AI and cloud. Chinese names are cheap and underappreciated, with strong AI models, power access and robotics leadership, while the US faces data-center hurdles. … Show more

Alibaba and Baidu stand to benefit because China will not slow its AI development even if the US slows its own. x.com 

Alibaba's full AI stack is not yet working economically: it loses $4 for every $1 of revenue, and that is the whole thesis risk. AI Labs lost RMB13.9B, cloud profit covers only 41% of that hole, and commerce is still funding the entire AI build. The cloud business works; the full AI stack does not yet. x.com 

Alibaba is tough to hold because it is splitting investment between e-commerce and AI, creating massive execution risk. AI is so capex-hungry that, as Western examples show, Alibaba cannot spread spending and still reach comparable results. The market sees China e-commerce spending, including the quick-commerce race, as having no ROI, and is right. Replies argue Alibaba has no choice; it might still make it, but the risk is that its AI push slows. x.com  x.com  x.com 

Alibaba and Baidu are a no-brainer buy because Chinese AI stocks trade at very low valuations while China is determined to race the US in AI. x.com