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.com 

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.com 

AMD's accelerator partnerships are a weak signal of true demand because it gives customers huge chunks of ownership to secure purchases. Other examples look toothless for now. Single sourcing is a real problem, and AMD likely keeps its data-center accelerator program long term. But a distant second place is not protected: relative competitiveness matters, and an upstart could take share, though there is no evidence of that today. x.com  x.com 

Higher HBM stack requirements favor Samsung Electronics shares, even as the broader semiconductor industry suffers and DRAM is in dire straits. Daishin Securities says plans for 4-high and 6-high HBM in low-end inference appear shelved, while Nvidia's 8-high Rubin option appears dropped amid base-die supply constraints and customers' preference for bandwidth. x.com 

Many neoclouds favor AMD, making it potentially the semiconductor to play. Helios still needs to mature into a complete rack-scale platform for AMD to become a true second AI platform, rather than just the No. 2 GPU vendor. x.com 

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.com 

Samsung has the most upside among the three memory makers because it holds memory, foundry and packaging under one roof, letting it shorten development cycles and give customers more options. Its HBM4 collaboration on AMD's MI455X with 432GB of HBM4, plus foundry talks, shows a major AI customer taking it seriously again. Expect strong DRAM, NAND and HBM4 contributions. @JonahLupton notes it trades at 4.4x NTM EPS, and HBM prices rising at least 100% in 2027 may not be in estimates. x.com 

AMD is having a breakout year as hyperscalers spend more than $600 billion on infrastructure in 2026, about $450 billion of it on AI. Its CPU market share has climbed to 29.2%, and partnerships with OpenAI and Meta show it is no longer playing second fiddle to Nvidia. Its MI300 series is winning data-center workloads, and it is executing on its roadmap with a consistency that deserves respect. x.com 

AMD can't undercut Nvidia on price and grow margins while its costs rise faster, and its Helios racks use 50% more HBM than Nvidia's Vera. Lisa Su was evasive about this on the last earnings call. Supply chain constraints and AMD's high P/E are further concerns, even though the company itself is likeable. x.com 

AMD has been repriced as the second AI infrastructure incumbent. Meta and OpenAI at 6GW each give it a roughly 12GW MI450 pipeline, both are launch customers for its Helios rack-scale system, Samsung HBM4 supply is secured, and its server CPU TAM estimate doubled to $120B by 2030. Morgan Stanley raised its target from $255 to $360 the morning of earnings. The thesis is intact. x.com