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 

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 is priced as if it is winning the ecosystem war when it is fighting uphill, which makes it unattractive. Its chips now compete, but Nvidia built CUDA and the tooling everyone runs on, and switching means rebuilding that foundation, which almost nobody wants to do. AMD's realistic opportunity is newer data centers without that foundation, which is what has been happening. Yet nearly every sell-side firm rates it a buy at about 50x forward earnings. x.com 

Cerebras looks attractive because the short report's two-year wafer-life thesis rests on unvalidated reliability assumptions, not representative failure data. Energy per useful token, lower warranty utilization and ordinary repair accounting also undercut its financial conclusions. OpenAI has integrated Cerebras into production; AMD and AWS have announced integrations, while Oracle plans 2027 availability for ultra-fast inference, adding commercial validation despite the report. x.com  x.com 

SK hynix's record earnings and five-year volume and spec agreements make its valuation look too low. Quarterly revenue reached KRW104.62T, up 32%, and operating profit hit $63B against a $785B market cap, below AMD's and less than half Tesla's. Its planned KRW100T (~$75B) shareholder return would be one of the world's largest, signaling conviction and unusual demand visibility. AI-inference 3D DRAM is coming by 2030; a reasonable valuation is all that is sought. x.com  x.com  x.com  x.com  x.com  … Show more

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 

AMD's $8.2B all-stock purchase of World Labs, whose models generate and simulate 3D environments from text, images and video, widens its heterogeneous compute thesis. Robotics and simulation are where the re-rating lives, and AMD is buying the stack to reach them. x.com 

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.com 

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

AMD and Nvidia both stand to gain from an AI chip market that AMD sizes at $1.4 trillion by 2030, growing 45% a year. Token use rose 158x in two years, and running models now takes 60% of compute, driven by agents, a shift AMD expects to be structural. AMD's Helios racks are in full production, Anthropic is locking in up to 2 GW and OpenAI up to 6 GW, and AMD says it is closing its software gap. Nvidia keeps an edge because CUDA is still better and omnipresent. x.com  x.com  x.com  x.com  x.com  … Show more