Stock Markets February 24, 2026

Meta Commits Up to $60 Billion in AI Chips to AMD, Including Option for Equity Stake

Long-term purchase agreement signals continued diversification of AI hardware suppliers and raises questions for incumbents

By Caleb Monroe AMD META NVDA AVGO
Meta Commits Up to $60 Billion in AI Chips to AMD, Including Option for Equity Stake
AMD META NVDA AVGO

Advanced Micro Devices said on Tuesday it agreed to sell as much as $60 billion in artificial intelligence chips to Meta Platforms over five years, in a deal that also gives Meta the option to acquire up to a 10% stake in the chipmaker. The arrangement follows a similar agreement AMD signed last year with OpenAI and is being read by analysts as another major hyperscaler locking in supply and broadening sources of AI compute.

Key Points

  • AMD and Meta agreed to a contract enabling Meta to buy up to $60 billion in AI chips over five years, with an option for Meta to acquire up to 10% of AMD.
  • The deal follows a prior AMD agreement with OpenAI and is viewed by analysts as part of a pattern where large AI customers secure long-term hardware access often tied to equity or strategic commitments.
  • Analysts say the agreement signals growing diversification in AI hardware sourcing, creating competitive pressure for incumbent supplier Nvidia and potential negative effects for other vendors such as Broadcom.

Advanced Micro Devices said on Tuesday it has reached an agreement to supply Meta Platforms with up to $60 billion worth of artificial intelligence chips over a five-year period, and the contract includes an option allowing the social media owner to acquire as much as 10% of AMD. The announcement follows a comparable pact AMD struck last year with OpenAI, a deal that industry observers said reinforced confidence in AMD's chips and software and helped lift the chipmaker's share price.

The structure of the Meta-AMD arrangement has drawn commentary from technology and markets analysts, who described it as part of a broader pattern among hyperscale customers to secure long-term access to critical hardware while also seeking closer strategic alignment with suppliers.

"The structure of the Meta/AMD deal squarely fits the emerging 'closed-loop hyperscaler' pattern: a mega-cap AI customer gets long-term access to a key supplier’s hardware, often in exchange for equity exposure and other strategic commitments. It is also a strong indicator that the AI hardware segment is diversifying and challenging longtime leader Nvidia since companies like Meta now see other options for AI compute."

"AMD has placed itself in a very competitive position to serve the demands of hyperscalers seeking alternatives to Nvidia. It is doing so technologically and through it’s co-design approach combining silicon, systems, and software to optimize AI training."

The remarks above were provided by Gadjo Sevilla, an analyst at eMarketer in New York. In his view, the deal exemplifies a growing tendency among the largest AI customers to lock in hardware supply via long-term agreements that include equity exposure or other strategic ties.

Other market commentators noted the competitive implications for existing suppliers and the motivations behind Meta’s procurement strategy. Dan Coatsworth, head of markets at AJ Bell in London, said the move represents a meaningful shift in supplier dynamics for AI infrastructure.

"For a long time, it looked as if Nvidia was the only chip player in town, but that is increasingly not the case. Meta’s deal with AMD is a blow to Nvidia, especially as the potential for the Facebook owner to take a stake in the chip maker could result in a closer working relationship going forward."

"It is standard practice for big companies to source goods and services from different companies to avoid over-dependence on one supplier. Meta had already signaled that it would continue to spend big, so the scale of the deal with AMD isn’t out of the ordinary. What’s potentially jarring investors is the structure of the arrangement. The return of circular transactions in the industry gives investors something else to worry about, alongside potentially excessive levels of spending by hyperscalers more broadly on AI, and disruption in multiple sectors from the technology."

"The minor drop in pre-market trading for Meta would suggest its shareholders are approaching the news with some caution. However, there is a party going on at AMD as it gets one up on Nvidia."

Dan Coatsworth highlighted that while diversified sourcing is customary for large buyers, the combination of massive spending and intertwined financial relationships - such as equity options - adds another dimension for investors to weigh.

Matt Britzman, senior equity analyst at Hargreaves Lansdown in the Great Bristol area of England, described the pact as evidence that Meta is intensifying its push to secure AI infrastructure.

"Meta’s AI arms race just shifted up another gear. The company has struck a huge deal with AMD to buy around $60bn of AI chips over 5 years, with an option to take a 10% equity stake in the chipmaker. Coming hot on the heels of Meta’s recent Nvidia agreement, the message couldn’t be clearer: AI infrastructure is priority number one. Meta is locking in supply, diversifying away from a single vendor, and doing whatever it takes to make sure its AI ambitions aren’t bottlenecked by chips."

"For AMD, this is a vote of confidence in its next-generation AI hardware – but having to give up a 10% stake suggests it could be struggling to generate organic demand. That said, delivering solutions at this scale is a new test. Designing competitive chips is one thing; manufacturing, deploying and supporting them in volumes this large is another. AMD shares jumped on the news, and after a sharp pullback in recent months, the positive reaction will come as welcome news to investors."

"Zooming out, this deal underlines just how dominant Nvidia still is, a stock which features on our Five Shares to Watch list for 2026. AMD had to sweeten the agreement with a potential equity option - something you simply don’t see Nvidia needing to do to secure demand. Nvidia remains the clear top dog in AI chips, with unmatched scale, software, and customer pull. AMD is making progress and carving out a role, but with Nvidia’s results due tomorrow, we’re expecting Jensen Huang to once again remind the market who’s in charge."

Britzman set the deal in the context of competition with Nvidia, pointing out that while AMD has made strides, the arrangement's equity component may reflect the extra incentives necessary to secure hyperscaler business at scale.

Gil Luria, head of technology research at DA Davidson in Portland, Oregon, focused on the validation this deal offers AMD and on where the move places other suppliers.

"AMD’s deal with Meta serves as significant validation for AMD’s GPU technology. Meta is committing a significant part of its buildout to AMD and AMD gets a second anchor customer after OpenAI. The main negative impact from the deal is on Broadcom. Since Meta has a separate large deal with Nvidia and will likely continue to rely on Nvidia for most of its GPUs, the supplier getting crowded out appears to be Broadcom. Meta decided to rely on AMD as a second supplier instead of its home built chips it has developed with Broadcom."

Luria suggested the primary supplier facing pressure from this shift could be Broadcom, as Meta balances procurement among external vendors and its own in-house chip initiatives.


Taken together, the analysts' remarks frame the Meta-AMD agreement as a significant commercial commitment by a major cloud-scale buyer, a sign of diversification in AI hardware purchasing, and a test for AMD's ability to meet hyperscaler-level demand. At the same time, the transaction raises investor questions about sourcing strategies, the return of equity-linked supplier deals, and competitive dynamics among major silicon providers.

Risks

  • The equity-option component of the deal may raise investor concerns about circular transactions and closer financial ties between hyperscalers and suppliers, which could affect shareholder perceptions in the technology and chip sectors.
  • Delivering chips at the scale called for by a five-year, $60 billion commitment presents execution risk for AMD, including manufacturing, deployment and support challenges that could impact the semiconductor supply chain and cloud infrastructure providers.
  • Meta's continued large-scale spending on multiple AI suppliers could contribute to elevated capital intensity across hyperscalers and drive disruption in related sectors that depend on stable procurement and supplier relationships.

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