“We delivered an outstanding start to the year driven by accelerating demand for AI infrastructure across our portfolio.” (CEO)
“Data Center is now the primary driver of our revenue and earnings growth.” (CEO)
“Based on the demand signals we are seeing today and the structural increase in CPU compute requirements driven by Agentic AI, we now expect the server CPU TAM to grow at greater than 35% annually, reaching over $120 billion by 2030.” (CEO)
“We see a clear path to exceed our long-term financial targets, including delivering more than $20 in EPS over the strategic time frame.” (CEO)
“First quarter revenue was $10.3 billion, exceeding the high end of our guidance, growing 38% year-over-year.” (CFO)
Topic: CPU TAM breakdown and competitive landscape vs. ARM
Key points:
CPU TAM split into three categories: traditional general-purpose CPUs (growing at low double digits), AI head node (smaller, connecting to accelerators), and Agentic AI (largest growth piece).
No specific relative ASP number provided; ASPs increase with core counts, but depend on workload.
ARM is viewed as "point products" vs. AMD's broad portfolio; AMD will add an AI-optimized CPU (Verano) in the Venice time frame alongside throughput-optimized and cost-optimized options.
Mgmt stance: Bullish — "very well positioned" due to portfolio breadth, innovation in architecture and packaging, and a "much, much larger" TAM than expected.
Q7 — Christopher Muse
Topic: Client business mix, memory pricing impact, and Instinct gross margins
Key points:
Q1 client business was "a little bit stronger than expected"; mix shift toward premium Notebook (M&C) and commercial AI PCs; desktops softer due to consumer focus and memory/component price increases.
Full-year commentary: planning for "some demand impact" in H2 due to memory pricing, but still expects year-over-year client growth.
Instinct gross margins: Jean Hu states focus is on topline revenue growth; margins vary by customer; opportunities to improve over time via ASP and cost scaling as business scales.
Mgmt stance: Neutral on client (acknowledges H2 headwinds but confident in growth); cautious on Instinct margins (prioritizing revenue over margin improvement near term).
Q8 — Stacy Rasgon
Topic: AI GPU trajectory (Q1/Q2) and OpEx forecasting
Key points:
Q1 Data Center AI down "modest pace" sequentially primarily due to lower China revenue; China revenue in Q1 described as "not material."
Q2: both Data Center AI and server expected to grow "double digit" sequentially.
OpEx: Jean Hu explains aggressive investment in AI driving revenue momentum (Q1 revenue +38% YoY, Q2 guided +46% YoY); some OpEx increase tied to revenue beat and customer engagement.
Mgmt stance: Bullish on AI investment (OpEx driving revenue growth); neutral on OpEx forecasting (acknowledges difficulty but justifies with revenue results).
Q9 — Blayne Curtis
Topic: Supply chain, product mix (older vs. newer), and OpEx breakdown (R&D vs. SG&A)
Key points:
Turin crossed 50% of server revenue this quarter; Genoa strong; Milan declining; customers prefer newer products for efficiency (performance, cost, power).
Enterprise server pickup is "really nice strong"; supply chain is tight but AMD has deep relationships and sees "meaningful improvements"; now planning for '27 and '28 CPU demand.
OpEx: Jean Hu expects R&D to grow "much faster" than SG&A for the year; recent SG&A growth was due to building go-to-market machine (enterprise servers, commercial PCs).
Mgmt stance: Bullish on product transition (newer products dominate) and supply chain execution; bullish on R&D investment focus going forward.