Market News:
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Software rebounds: Salesforce +4%, ServiceNow +2%, cybersecurity names Zscaler and Cloudflare recovering after Monday's sharp selloff
Apple plans to produce Mac Minis in Houston for the first time
President Trump, in a record-long State of the Union, highlighted tax cuts, immigration policy, and tariffs, while sharply criticizing Democrats
Defense Sec. Pete Hegseth gave Anthropic a Friday deadline to drop AI safeguards or risk losing its $200M Pentagon contract
Earnings today: Lowe's, Salesforce, Nvidia, Snowflake, and Paramount Skydance

This isn’t just a tech story. It’s a roadmap where the real money is flowing on AI.
Meta just committed up to $100 billion to buy chips from AMD. Not Nvidia. AMD.
It's a signal. A strategic bet. And depending on where your money is sitting right now, it could matter a lot more than you think.
Here's the full story.
Meta & AMD Partnership
Meta Platforms dropped one of the biggest chip deals in tech history.
The company agreed to buy AMD's latest AI chips, worth up to $100 billion, to power its data centers. As part of the deal, Meta also gets the right to acquire up to 10% of AMD's stock through performance-based warrants. That means if AMD's share price hits $600 (it's currently around $212), Meta walks away with a massive ownership stake in one of the biggest chip companies on the planet.
$AMD jumped 9.5% the same day the deal was announced.
This is a big deal. Not just for Meta and AMD, but for anyone trying to understand where AI infrastructure money is actually going right now.
What's Actually Happening Here?

For years, Nvidia has basically had a monopoly on the AI chip market. If you wanted to build an AI system, you needed Nvidia GPUs. Companies paid whatever Nvidia asked. And Nvidia had all the leverage.
Meta got tired of that.
As Gil Luria, head of technology research at D.A. Davidson, put it: Meta has "been beholden to Nvidia, especially over the last three years, and that means that Nvidia has all the pricing power."
So Meta made a move.
Just two weeks ago, Meta announced it would use millions of Nvidia's chips and equipment for its AI data centers. Big deal expected. But then, days later, Meta signed this AMD agreement. That's not a coincidence. That's a supply chain strategy. Meta is intentionally splitting its chip orders between two suppliers to avoid depending on any single company.
Smart investing rule: never put all your eggs in one basket. Turns out, trillion-dollar tech companies follow the same advice.
Deal Breakdown
Here's what the Meta-AMD agreement actually involves:
What Meta gets:
AMD's latest MI540 GPUs (graphics chips that power AI systems)
AMD CPUs: increasingly important for AI inference, which is how trained AI models actually respond to you in real time
A six-gigawatt chunk of computing power (that's enough to power roughly six million American homes)
Warrants to buy up to 160 million AMD shares at just $0.01 each, if $AMD hits $600
What AMD gets:
A customer commitment worth up to $60–100 billion over multiple years
A credibility boost that says: we can compete with Nvidia for hyperscaler clients
A stock price jump of nearly 10% in one day
What it means for the AI race:
Nvidia still dominates (about 90% of the AI chip market)
But AMD just proved it can land the biggest clients in the world
And the competition is now real — not just theoretical
Meta's Bigger Picture
This AMD deal doesn't exist in a vacuum.
Meta has committed to spending somewhere between $115 billion and $135 billion on AI infrastructure in 2026. That's more than the GDP of some countries. Mark Zuckerberg has described the goal clearly: he wants Meta to deliver what he calls "personal superintelligence" to billions of people across Facebook, Instagram, and WhatsApp.
Think about that for a second. Every time you scroll your feed, see a recommended video, or get an ad that weirdly feels like it knows what you were thinking about, that's AI at work. Zuckerberg wants to make that system dramatically smarter, faster, and more personal.
To do that, you need an enormous amount of computing power. That's what these chips are for.
And Meta isn't alone. The five biggest AI spenders in 2026: Amazon, Google, Microsoft, Meta, and Oracle are projected to collectively spend $660–690 billion on AI infrastructure this year. That's nearly doubling 2025 levels.
For context: this combined spend rivals Sweden's entire GDP.
Why AMD Is the Stock to Watch Right Now

AMD had less than 10% of the AI chip market heading into this announcement. That sounds like a weakness and honestly, it still is compared to Nvidia.
But here's the thing: second place in a trillion-dollar market is still worth a lot of money.
AMD CEO Lisa Su has spent more than a decade turning this company from a struggling chip maker into a serious Nvidia rival. And this Meta deal is the clearest signal yet that hyperscalers of these massive tech platforms are ready to give AMD real, large-scale deployment contracts.
Jefferies analysts said the deal "should give investors more confidence" in AMD. KeyBanc raised their AMD price target from $300 to $330. And AMD's stock which was at $196 before the deal jumped past $212 in a single session.
Is AMD cheap right now? Not exactly. At a P/E ratio of about 74, you're paying a premium for future growth. But when you have a $100 billion customer commitment on the books, that growth story gets a lot more believable.
Experts’ Comments
Chris Miller, Professor of International History at Tufts University and author of Chip War, pointed out that Nvidia's edge isn't just the chips themselves — it's the software and ecosystem built around them. AMD still has ground to make up there. But this deal gives AMD the platform and the revenue to close that gap.
"Meta has a lot of choices. I want to make sure that we are always a clear seat at the table when they think about what they need next."
Meta CEO Mark Zuckerberg said he expects AMD to be "an important" part of Meta's AI infrastructure going forward. That's a public endorsement worth billions.
Jay Goldberg at Seaport Research Partners offered a note of caution, flagging what he called the "circular financing" risk, where the same dollars flow between companies in ways that can look bigger than they really are. It's worth watching.
What This Means
Let's be clear: I'm not here to tell you what to buy. That's not my job, and it shouldn't be anyone else's call but yours.
But here's what this week's news tells us about the AI investment landscape:
1. The chip wars are heating up. Nvidia is still dominant. But AMD just proved it can land $100 billion deals. That changes the risk/reward calculus for both stocks.
2. Meta is all-in on AI infrastructure. With $135 billion in planned capex this year and a strategy aimed at "personal superintelligence," Meta is betting its future on AI. That's either visionary or reckless. History will decide. But the commitment is real.
3. Supply chain diversification is becoming a major theme. Meta's move to split chip purchases between Nvidia and AMD tells you something important: even the biggest companies are worried about being too dependent on a single supplier. That has implications for multiple players across the semiconductor space.
4. The "circular financing" risk is real. When companies give equity to chip suppliers, and chip suppliers use that equity to fund growth, the web of deals gets tangled fast. It's worth watching how this plays out.
Chip Stocks to Watch

Bottom Line
The Meta-AMD deal is more than a chip purchase. It's a strategic signal.
Meta is building the hardware backbone for the next era of AI. AMD is using that relationship to position itself as a credible alternative to Nvidia. And investors who understand where the money is flowing, not just which companies are making headlines, but why are better positioned to make smarter decisions.
Is $100 billion going to Nvidia's main competitor good news for Nvidia investors? Probably not great. Is it good news for AMD investors? So far, yes. Is it good news for Meta investors? That depends on whether Zuckerberg's AI vision actually delivers revenue and that's still the open question.
But one thing is clear: the race for AI infrastructure is accelerating, the spending is real, and the companies building the pipes that carry all that intelligence are the ones to watch.




