Alex A.C.
Value/GARP Investor, Semiconductor & Financial Analysis, Electronics MEng
Agentic AI demand should drive AMD's 2027 data-center growth well over 100% year on year. Server CPU revenue is forecast to double, with over 5 million Venice units shipping in 2027; Helios racks should ramp mostly in Q1 2027, with over 20,000 expected that year, while MI450/455X volume remains limited by end-2026. Projected 2027 sales are $103bn, with 2027 EPS revised up 15% and a new $720 target at 40x 2027 earnings. x.comÂ
AI data-center spending should reach chips first, then racks, power and cooling, benefiting Nvidia, AMD, Vertiv, Bloom Energy, Credo, Marvell, Lumentum and Micron. BofA forecasts the global data-center market at about $1T in 2026, $2.1T in 2028 and nearly $3T by 2030, a 37% annual rise; roughly 80% of a new AI site's $57M per MW cost goes to servers, networking and storage. x.comÂ
AI suppliers' demand may not justify today's investment. Roughly $3 trillion in revenue absent last year is needed to support the spending, yet GDP growth is weak and many companies may be seeing only incremental gains. If the estimate that Anthropic uses two-thirds of its compute for training is right, it could triple inference supply. The most likely outcome for many companies, roughly half the S&P 500, is slowing growth, compressed margins and multiples; when the bubble ends is uncertain. … Show more
AMD could see much more accelerator demand as OpenAI and Anthropic allegedly increase their orders by multiple gigawatts. Nvidia's only real edge over AMD may soon be its size and resources; Lisa Su is a master operator. x.comÂ
AMD has more AI accelerator market-share potential than the 7% forecast suggests. The more likely outcome is at least 15%-20% share, versus the forecast quoted from @pequityresearch. x.comÂ
AMD's valuation leaves little room for error even after stellar earnings. Sustaining 40% annual growth to 2030 gives $200B revenue and $80B net income at a 40% margin; at 20x earnings that is $1.6T, or about $990B discounted at 10%, versus $845B today. The market fears its acceleration coincides with the final stage of AI capex growth, as customers diversify from NVIDIA, a tailwind that may fade as capex growth slows after 2027. A solid hold, but new buyers should wait for a bigger decline. … Show more
The broad AI trade is among the most undervalued markets in years on a growth-adjusted basis because demand for intelligence keeps rising. Usage of open-weight and closed frontier models keeps climbing, while GPU rental prices are up around 80% this year despite exploding supply. Nvidia, AMD and SpaceX share this demand bet as long as both lines keep rising. x.comÂ
Faster AI inference requires more powerful chips, benefiting TSMC, AMD and NVIDIA. Mizuho estimates the fast-inference market could grow from $1 billion in 2025 to $550 billion in 2030; that is a forecast, not realized demand. x.com x.comÂ
AMD risks missing large advance rack orders because Helios is still unproven at volume manufacturing. It looked credible on paper at July's Advancing AI, but this is AMD's first rack-scale system; meaningful volume is expected only in 2H27, two quarters past AMD's window. Hyperscalers order racks a year or two before seeing them, and custom inference chips are squeezing AMD from the other side. The photographed Helios rack's cabling underscores how hard it is to build. x.com x.comÂ
On-the-ground data, including OCP rack vendors' reports of what they hear from customers, gives a clearer picture of AMD's CPU outlook. AMD's CPUs and GPUs are both in a growth cycle, leaving it on track to outgrow the market. The 14 million GPU figure through 2030 was always above the team's models, as it was for many others; the 2027 GPU sales estimate raised in the discussion was Morgan Stanley's, not theirs. x.com x.com x.com x.com x.comÂ