Meta Platforms is placing what might be the largest corporate infrastructure bet in history: up to $145 billion in capital expenditures for 2026 alone, almost entirely directed at AI. The company currently sits at a market cap of roughly $1.51 trillion.
The scale of the commitment is staggering even by Big Tech standards. Meta plans to deploy 7 gigawatts of AI computing capacity in 2026, then double that to 14 GW by the end of 2027.
The Iris chip and Meta’s silicon ambitions
Central to Meta’s infrastructure push is its custom-built Iris chip, the company’s fourth-generation MTIA (Meta Training and Inference Accelerator). Manufacturing begins in September 2026, with Meta planning to release new chip iterations every six months through 2027.
Nvidia still dominates the AI accelerator market, and its GPUs remain the industry default. Meta is joining a growing club of hyperscalers designing their own silicon alongside Google’s TPUs and Amazon’s Trainium.
A $22 billion cloud business hiding in plain sight
Perhaps the most intriguing angle is what analysts see as a cloud-adjacent revenue opportunity. Estimates suggest Meta could generate up to $22 billion annually in gross revenue by renting excess computing capacity starting in 2027.
Meta has already signaled its openness to external partnerships. The recent release of Muse Spark 1.3, made available via API, suggests the company is building the kind of developer-facing infrastructure that could support a compute rental business.
The company’s future contractual commitments paint a similar picture. Meta has locked in nearly $700 billion in obligations focused on data centers, cloud infrastructure, and related buildouts.
The risk equation
Capital expenditures of $130 billion to $145 billion in a single year would make most CFOs break into a cold sweat. The compute capacity being built today won’t generate meaningful rental revenue until 2027 at the earliest. Meanwhile, the broader industry is pouring money into AI at a pace that could eventually create overcapacity, with total AI-related spending across the tech sector projected to surpass $1 trillion.
Meta is entering the AI infrastructure market at the same time as every other major tech company. AWS, Azure, and Google Cloud have established customer relationships, enterprise sales teams, and years of operational expertise. Meta’s advantage lies in its massive existing compute footprint and the fact that it can price competitively since the infrastructure was built primarily for internal use.