Amazon Nears $3T, Meta Jumps 7%: AI Hyperscalers Are Turning Earnings Into FOMO

Amazon's march toward $3 trillion shows AI leadership is driving the market

Amazon is at $2.9 trillion in market value after adding $432 billion this year, close enough to the $3 trillion mark that the milestone itself is starting to matter. More important, leadership is becoming concentrated in a small group of AI-exposed megacaps: Amazon's 36% gain since March 27 made it the fourth-largest point contributor to the S&P 500, responsible for 7.4% of the benchmark's advance.

Meta's reaction to earnings matters for the same reason. After reporting $10.44 EPS and $56.3 billion in revenue versus Bloomberg estimates of $8.15 EPS and $55.5 billion in revenue, the stock still fell as much as 10% in early trading as plans to raise AI spending weighed on sentiment, before rebounding about 7%. The message is straightforward: investors are no longer rewarding AI capex on faith alone.

The debate is no longer spending versus no spending

Bears point to the scale of the bill. AI spending among megacaps is projected at $765 billion this year, and Amazon's $220 billion capital spending forecast has become a visible benchmark for how expensive the buildout is getting.

Bulls focus on where capital is going. The market still appears willing to pay up for the companies most likely to monetize AI first, which is why earnings quality and execution matter more than ever.

Amazon's rerating now has operating proof

AWS growth and Trainium commitments are changing the story

The old view of Amazon as mostly retail plus a slower AWS unit is losing credibility. The current setup rests on harder evidence: AWS delivered its fastest quarterly sales growth in more than three years, the company disclosed more than $225 billion in revenue commitments tied to its Trainium custom AI chips, and investors are increasingly backing its broader AI strategy across cloud, chips, logistics and advertising.

Prime Day is the next concrete test

That mix of operating signals is why the next catalyst matters. Prime Day is coming a month earlier than usual in June, and it offers a near-term read on retail demand, margin durability and advertiser appetite. If Amazon can pair that with continued strength in AWS and ads, the case for an AI-led rerating becomes easier to defend.

Meta's swing shows the market still wants proof before it funds more AI spend

The quarter was strong, but the market still questioned the bill

Meta remains a clean sentiment test for the megacap AI trade. First, earnings per share of $10.44 on $56.3 billion in revenue beat Bloomberg estimates of $8.15 EPS and $55.5 billion in revenue. Then the stock fell as much as 10% in early trading on bigger AI spending plans before recovering about 7%.

One caveat matters. Meta disclosed an $8.03 billion income tax benefit, and excluding that roughly $8 billion one-time benefit, EPS would have been $7.31. So the quarter was not a pure earnings-power story. Even with that adjustment, though, Meta still posted a 41% operating margin and 33% revenue growth, which shows the core business remains highly profitable.

Higher capex now has to earn another round of patience

Meta's 2026 capex outlook of $125 billion to $145 billion, up from $115 billion to $135 billion, reflects higher component pricing and some additional data-center costs. The market's response suggests the burden of proof has shifted: strong operating results are no longer enough on their own if spending keeps climbing without clearer follow-through.

How to trade the theme: own execution, watch spending tolerance

Stay with the leaders. Leadership is getting more concentrated, with market leadership more concentrated in technology and AI. In that tape, the cleaner trade is to stay with companies already showing AI monetization and execution rather than chasing names that still need to prove the story.

What matters next

• Amazon: The near-term catalyst is Prime Day, which arrives a month earlier than usual. The more important read is whether management sounds as confident on AWS fastest quarterly sales growth in more than three years as the retail event unfolds.
• Meta: The key question is whether higher AI spending gets more tolerance after a beat. After plans to increase its AI spending briefly overshadowed the quarter, the next results package still needs to be strong.
• Both: Another generic AI-spending headline matters less than execution. The real risk is when costs are going up even more than expected and starts to disrupt execution.

The practical split is this: Amazon looks more like the broader, execution-driven holder, while Meta remains the sharper sentiment read on how much AI spending the market will forgive after a strong quarter.