# Meta Platforms posts $56B Q1 revenue, raises capex to $145B for superintelligence initiative

> Source: <https://cryptobriefing.com/meta-q1-revenue-capex-superintelligence/>
> Published: 2026-06-20 14:05:34+00:00

# Meta Platforms posts $56B Q1 revenue, raises capex to $145B for superintelligence initiative

Mark Zuckerberg's AI spending spree sent shares tumbling after hours despite a blowout earnings quarter that crushed analyst expectations

Meta Platforms just delivered one of its strongest quarters ever, reporting $56.31 billion in Q1 2026 revenue, a 33% jump year-over-year that comfortably cleared the $55.45 billion Wall Street consensus. Earnings per share landed at $10.44. And yet, the stock dropped as much as 10% in after-hours trading.

The culprit: Meta told investors it now plans to spend between $125 billion and $145 billion on capital expenditure this year, up from its previous guidance of $115 billion to $135 billion. That’s roughly double the approximately $72 billion the company spent in 2025. The reason? Something the company is calling Meta Superintelligence Labs.

## The superintelligence bet

CEO Mark Zuckerberg described 2026 as a pivotal year for building what he calls “personal superintelligence” technologies. The idea is to embed deeply capable AI systems across Meta’s product suite, from Instagram and WhatsApp to its mixed reality platforms, creating experiences that adapt to individual users in ways current AI cannot.

The raised capex ceiling of $145 billion is part of an even larger picture. The so-called Magnificent 7 tech giants are collectively projected to spend somewhere between $600 billion and $670 billion on hyperscaler AI infrastructure in 2026. Meta is now one of the biggest contributors to that total.

## What this means for crypto and blockchain

Meta’s earnings report didn’t mention any specific tokens or blockchain protocols. But two threads in the company’s broader strategy have direct implications for the digital asset space.

First, the sheer scale of AI infrastructure buildout has downstream effects on energy markets and, by extension, Bitcoin mining. When companies like Meta, Microsoft, and Google compete for data center capacity, power contracts, and GPU allocations, it creates both opportunity and constraint for miners who rely on the same resources. Some mining operators have already pivoted to offering AI hosting services alongside their mining operations, recognizing that the same facilities can serve both purposes.

Second, reports have surfaced indicating that Meta is actively investigating stablecoin partnerships for payment processing across its app suite. Meta tried this once before with Libra, later renamed Diem, which regulators effectively killed in 2022. The difference now is the regulatory landscape, with stablecoin frameworks advancing in the US.

A company with 3 billion-plus daily active users integrating stablecoin payments would be a significant development for adoption. Even a modest implementation across WhatsApp or Instagram could drive more stablecoin transaction volume than most DeFi protocols see in a year.

## The bigger picture for investors

Meta also laid off roughly 8,000 employees, about 10% of its workforce, in mid-May 2026. The company is aggressively reallocating resources from human capital to infrastructure.

For crypto-native investors watching this unfold, the key variables to track are threefold. One: the stablecoin integration story. If Meta moves forward with partnerships, the regulatory precedent and volume implications would ripple across the entire stablecoin market. Two: energy market dynamics. As AI capex from the Magnificent 7 approaches the $650 billion range, the competition for power and compute will reshape the cost structure for Bitcoin miners and potentially accelerate the convergence of AI and mining infrastructure. Three: the broader signal that traditional tech companies are no longer ignoring crypto’s payment rails. Meta tried to build its own blockchain and failed. Partnering with existing stablecoin infrastructure would represent a fundamentally different approach.

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