Meet the Major Artificial Intelligence (AI) CPU Player That Just Joined Nvidia, Tesla, and Palantir as One of the Most Popular Stocks on Robinhood

Robinhood’s list of the 10 most widely held stocks shows AMD gaining traction as agentic AI boosts CPU demand; AMD is now the ninth-most widely held and is up ~154% YTD (as of Jun 30). AMD’s data center revenue surged 57% YoY to nearly $5.7B, and management linked rising CPU needs to scaling inferencing and agentic AI. Despite strong growth, the article flags frothy AI sentiment and valuation risk (AMD trades ~70x forward earnings), with analysts seeing limited upside (Cantor Fitzgerald PT raised $200 to $700, ~34% upside) and suggests dollar-cost averaging rather than a large position.

Analysis

The market mechanism here is less “AI is good” and more a shift in where AI capex accrues. If agentic workloads really increase inference and orchestration intensity, AMD can gain wallet share without needing a bigger total cloud budget—an important distinction because it supports revenue upside even if headline AI spend growth moderates. That said, CPUs are typically a lower-visibility, more competitive line item than GPUs, so the upside case depends on sustained design-win conversion rather than a one-quarter demand pop.

Near term, the stock is vulnerable to multiple compression because the narrative is now broad enough that almost any AI adjective gets capitalized. At ~70x forward earnings, AMD needs guide raises, not just commentary, and the first real falsifier is any sign that data-center growth is merely pulling demand forward from the next few quarters. NVDA is not an obvious loser; in many agentic stacks, CPU attach can rise alongside GPU demand, so this is more likely a relative-share story than a zero-sum substitution.

Contrarianly, the consensus may be overestimating how much of this is incremental demand versus rebranding of existing enterprise/cloud spend. The more durable winners over 6-18 months may be the infrastructure bottlenecks around power, networking, and software orchestration, not the “AI CPU” label itself. HOOD benefits indirectly if retail AI enthusiasm persists, but that’s a flow trade, not a fundamentals call; a sharp AI unwind would hit retail engagement quickly and could turn that tailwind into a headwind.

Key Decisions for Investors

• Avoid chasing AMD at current levels; wait for the next earnings/guidance update and only add on a pullback if data-center growth and gross margin both re-accelerate. Falsifier: guide fails to inflect or forward multiple stays >60x without upward revisions.
• Relative-value idea: small long AMD / short NVDA only as a 1-3 month rotation trade if hyperscaler updates emphasize inference and CPU orchestration spend. Keep size modest; thesis breaks if NVDA’s next capex commentary still implies broad AI intensity rather than a training-only mix shift.
• Use HOOD as a sentiment proxy rather than a fundamentals long: consider a tactical long only if retail AI chatter and trading volumes are still expanding. This is a flow trade with a fast reversal risk if AI leaders gap down.
• Set an alert for AMD’s next data-center print: if growth decelerates materially or management stops highlighting CPU demand breadth, fade the move with puts or reduced exposure. The market is pricing a durable architecture shift; the burden of proof is on AMD to show it’s not just a short-cycle reorder.