Daniel Romero
Technology Equity Analyst, Semiconductors/Data Centers/Physical AI
AMD's $8.2B acquisition of World Labs gives it key positioning in physical AI and simulation, markets where it was essentially a non-player, letting it challenge Nvidia. World Labs' Atlas model reconstructs a persistent 3D world from a few images, competing with Nvidia's NuRec, Cosmos, Isaac and Omniverse, with uses from VFX and VR to games and AI video. The price may look high, but for a market that could be worth hundreds of billions within a few years, the potential return is enormous. x.com x.com
AI's biggest bottleneck is power and cooling, not memory, making Vertiv, GE Vernova, Bloom Energy and Eaton buys. Musk expects a prolonged compute shortage; Nvidia, Broadcom, Micron, SK hynix, TSMC, Arista, AMD, Marvell, Credo, Lumentum, ASML and Astera Labs could benefit massively. Grok Bot's 800,000 paid weekly users have more than doubled in a month; Musk says agents could eventually use more compute than any other part of SpaceX's Super Intelligence business, benefiting Dell and Sandisk too. … Show more
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
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 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
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.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
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
Nvidia retains pricing power if its full system keeps reducing customers' cost per effective AI task. Strong AI demand alone does not ensure profits across the chain: rising chip, memory and optical costs burden buyers, while tighter financing and slow collections threaten operators. Large customers developing their own chips could pressure Nvidia's margins even as the market grows. x.com
AMD and Nvidia face a growing capital burden from substrates without the benefit of foundry margin stacking. Each is committing $1 billion to the substrate ecosystem; AMD has also publicly committed $10 billion to its Taiwan supply chain, more than three times its Q2 net income. That capital is unavailable for R&D and product development, while their gross margins are flat or shrinking. Intel's gross margin is growing as customers prepay its foundry for substrates. x.com
Nvidia's integrated AI software stack could give it an edge beyond chip performance and pricing. @semivision_tw says the completeness of that stack may become the next competitive battleground for AMD, Broadcom and Marvell; Nvidia's open models can also drive demand for its compute, as @benitoz describes. x.com x.com