Last Update06 Oct 25Fair value Increased 35%
AMD's massive OpenAI deal
What’s going on — the deal details
- Supply & deployment commitment
- AMD will supply GPUs (AI accelerators) to OpenAI over multiple years, targeting a total deployment of 6 gigawatts (GW) of compute.
- The first tranche — 1 GW — is expected to be delivered in the second half of 2026.
- AMD expects the deal to generate “tens of billions” in revenue, and suggests that over 4 years, AMD (including other customers) might see $100 billion+ in “new revenue.”
- Warrants / option for OpenAI to take equity
- As part of the agreement, AMD has issued warrants to OpenAI that allow it to buy up to 160 million shares of AMD at a strike (exercise) price of $0.01 per share (yes, one cent).
- These warrants vest in tranches based on achieving specific deployment and stock-price milestones (some tranches require AMD’s share price to hit up to $600/share).
- If fully exercised, those warrants could correspond to about 10 % of AMD’s share count (i.e. OpenAI becoming a ~10% stakeholder).
- Timing & risk
- The financial recognition (i.e. revenue recognition) from this deal is not expected until 2026 onward, given the deployment timeline.
- AMD’s own statements imply that the deal is “transformative” for its AI business, but it also hinges on AMD executing technologically (e.g. with their upcoming MI450 hardware), and scaling the infrastructure reliably.
- Strategic and competitive implications
- It gives AMD higher visibility and credibility in the AI compute / infrastructure market, positioning it as a more serious challenger to NVIDIA.
- For OpenAI, the deal diversifies their sourcing of compute (less reliance on a single supplier), gives them upside exposure to AMD if things go well, and aligns incentives with AMD’s success.
- On the flip side, the warrant terms are extremely favorable to OpenAI (very low strike, milestone-based vesting)—so AMD is giving away quite a bit of optionality.
How this deal could affect AMD’s valuation (positively)
Potential upside levers
- Huge incremental revenue / margin expansion
- If AMD is indeed able to realize “tens of billions” per year from this deal + downstream demand, that’s a material lift to its revenue base.
- As AI compute (training + inference) scales, margins often expand (scale, tooling, software leverage) — AMD could benefit from margin expansion if it can control costs and efficiency.
- Multiple expansion / re-rating
- A successful, high-scale AI business (especially tied to a marquee client like OpenAI) could shift investor perception of AMD from “chip / commodity competitor” to a leading AI infrastructure play. That might justify a higher P/E or EV/EBITDA multiple than what it trades at today.
- As AMD becomes more core to AI infrastructure, it might command premium valuations similar to what NVIDIA or other “AI / compute platforms” get.
- Ecosystem effects & optionality
- The OpenAI deal may lead to greater adoption by other AI firms, cloud providers, and AI startups — network effects in this space matter.
- AMD’s ability to integrate vertically (hardware + software + systems) gives optionality to capture more “value up the stack.”
- Credibility and competitive stance
- Beating or competing credibly with NVIDIA in the AI compute market could shift competitive dynamics, attract partnerships, and reduce AMD’s perception as a “second fiddle.”
- It may also help AMD in negotiating supply, getting better contracts, attracting engineering talent, and integrating with large-scale AI customers.
1. Growth Engines in AI & Data Center
- AMD reported 36% YoY revenue growth in Q1 2025, reaching $7.44B, with non‑GAAP EPS of $0.96, a 55% YoY jump.
- Data Center revenue surged 57% YoY to $3.7B, powered by EPYC server CPUs and Instinct GPUs.
- Client PC (Zen 5 Ryzen) revenue rose 68% YoY, further expanding market share vs Intel (~+16.6%).
2. Valuation & Upside Potential
- Forward P/E sits around 27–28×, significantly lower than Nvidia’s ~35×, despite strong growth — a potential mis‑valuation.
- Analysts forecast EPS of $6.25 in 2025, rising to $8.50 in 2026, which could compress P/E to ~14×–16× on those projections.
- UBS raised its target to $210/share, citing the strong response to MI350 series and pipeline growth opportunities .
- Melius Research echoed the sentiment, raising PT and projecting AI GPU sales of $13B+ by 2027
3. Emerging AI Capability & Partnerships
- MI350 MI355X acceleration chips pricing up from ~$15K to ~$25K, signaling confidence in product competitiveness vs Nvidia.
- Partnerships with OpenAI, Microsoft, Meta, Amazon Web Services, and deals in the Middle East (e.g. Saudi G42 contract) underpin strength across geographies.
- The ZT Systems acquisition adds value in integrated AI rack-scale systems, rivaling Nvidia’s DGX dominance.
4. Competitive Fatigue & Market Share
- AMD now holds ~8% of the discrete GPU market, while Nvidia leads at ~92% — so AMD remains a challenger in GPU space.
- Yet AMD has captured ~35% share in server CPUs and continues to close gap in mobile and desktop segments.
- CEO Lisa Su’s leadership credibility remains high — she successfully turned AMD around from a few-dollar stock to a top-tier AI contender.
5. Key Risks to Monitor
- Competitive pressures: Nvidia’s dominance in high-end AI GPUs creates product-performance gap concerns; Jefferies downgraded AMD, citing this gap despite higher memory bandwidth across some tests.
- Intel’s comeback potential: With its upcoming Lunar Lake AI-enabled CPUs and aggressive pricing (cuts of 20–40%), AMD could face renewed pressure in PC space .
- Regulatory/Tariff headwinds: $800M inventory charge expected in Q2 due to new export controls; chips made in U.S. fabs cost up to 20% more, raising margins concerns.
- Geopolitical risk: Export restrictions targeting AI chips to China may limit growth if AMD can’t pivot fast.
Investment Thesis Summary
AMD has evolved into a formidable player in AI and enterprise compute, propelled by leadership in CPUs (EPYC) and a growing presence in GPUs (Instinct MI series). With solid revenue and earnings growth, strong analyst upgrades, and a valuation that still looks reasonable compared to peers, AMD offers a balanced play on AI infrastructure growth. However, competition is stiff, regulatory risk is real, and Nvidia still dominates key workloads. But for investors seeking exposure to potential upside in AI inference, data center CPUs, and adaptive compute, AMD represents a high-upside opportunity—provided they can weather near-term headwinds and prove aerodynamic through 2025.
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