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's $8B acquisition of Fei-Fei Li's World Labs could help it build a platform capable of supporting a $5T company. Putting a top world-model research team beside the Instinct and EPYC designers lets AMD shape silicon around physical-AI workloads before they become obvious. Nvidia's Cosmos and GR00T pull developers into its stack; AMD had no equivalent until now. With Silo AI and ZT Systems, AMD is building models, software and systems; the payoff is AI compute share, not World Labs' revenue. … Show more

Nvidia's deals trading compute for equity in AI companies are a win for everyone except AMD, and it is literally over for AMD. @LootJunkiee calls it Nvidia turning AI startups into its personal revenue stream, the definition of ecosystem domination, while @tickerade notes shares for compute, or for tokens as with OpenAI, is becoming a new revenue model for AI companies. x.com  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 becoming impossible to ignore in the AI infrastructure race, though Nvidia still leads. Meta committed to deploy up to 6 gigawatts of AMD GPUs, with custom accelerators based on the MI450 architecture rolling out in H2 2026. AMD also signed a deal with France to expand AI infrastructure and education, and Bernstein raised its price target to $265 on strong server and HPC demand. 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 

AMD still has further upside. Headlines around the OpenAI 6GW deal, the Meta deal and the Helios rack unveiled at CES 2026 framed AMD as finally catching Nvidia, but asking whether AMD can beat Nvidia is the wrong question; the detailed reasoning is laid out in a separate article. x.com 

Rackspace is AMD's key neocloud partner, building governed enterprise AI cloud infrastructure at scale on AMD Instinct GPUs and EPYC CPUs, so AMD's accelerating AI momentum flows directly to it. Per a SemiAnalysis (@SemiAnalysis_) thread, an AMD senior director's public GitHub lists Anthropic as a high-priority customer, still in evaluation. AMD's Advancing AI event this week could bring big announcements and ecosystem updates. x.com 

Intel and AMD face a real shift in competition as NVIDIA moves into CPUs faster and more directly than expected. On NVIDIA's earnings call, Jensen Huang said its new Vera CPU platform will contribute $20 billion of standalone revenue this year. The pressure on Intel and AMD is not just fund rotation but a genuine change in the competitive landscape. x.com 

AMD has plenty of room to run as it breaks all-time highs, because AI demand is exploding and the company is just getting started. The economy is still growing strongly and tech innovation is accelerating, while bears have called for a crash for years as the market kept climbing. x.com