Strategic Intelligence Report
Generated July 29, 2026
AI Labs
Meta
Strategic importance is our editorial rating of how central this entity is to the technology landscape we track; confidence reflects how well-sourced and current the underlying evidence is.
3
Chokepoint Score
3 other entities structurally depend on this one
Steady
Activity
1 recorded change in the last 90 days
Steady
Momentum
insider filing activity unchanged since last check
Headquarters
Menlo Park, California, USA
Website
Employees
78,865 (FY2025 10-K)
Founded
2004
Listing
META · NASDAQ
Market Cap
$1.51T
Revenue (TTM)
$214.96B
Price
USD593.87 (-8.05%)
Market data as of Jul 28, 2026, 11:21 AM · Source: Yahoo Finance (delayed). Not investment advice.
Overview
The parent company of Facebook and Instagram, whose 2026 AI infrastructure capital expenditure guidance rose to $125-145 billion, funding a massive NVIDIA GPU build-out, custom MTIA silicon developed with Broadcom, and a 49% stake in data-labeling company Scale AI. Meta raised its 2026 AI infrastructure capital expenditure guidance to $125-145 billion, funding a massive NVIDIA GPU build-out and custom MTIA silicon developed with Broadcom.
Dependency Map
One hop in each direction — see Strategic Connections below for the full, sourced breakdown of every relationship.
Showing the 5 most direct connections per side — see the interactive Dependency Map on the live entity page for the full graph.
Strategic Connections
Investment
- Scale AI: Meta acquired a 49% stake in data-labeling company Scale AI and hired its CEO, Alexandr Wang, to lead its new Superintelligence Labs team.
Dependency
- Nebius: Meta has a multibillion-dollar contracted capacity agreement with Nebius, part of Nebius' $40 billion+ contracted revenue from investment-grade customers.
- Corning: Meta agreed to purchase up to $6 billion in optical fiber, cable and connectivity products from Corning through 2030.
- Marvell Technology: Meta has custom AI silicon designed with Marvell Technology's involvement.
- Arista Networks: Meta is Arista Networks' largest customer at roughly 26% of revenue, using Arista's Etherlink AI fabric for AI training and inference networking.
- Oracle: Meta is among Oracle Cloud Infrastructure's major AI infrastructure customers, alongside OpenAI and NVIDIA.
- CoreWeave: Meta has committed over $21 billion to CoreWeave for AI cloud compute capacity.
- Taiwan Semiconductor Manufacturing Company: Meta depends on TSMC to fabricate its custom MTIA AI accelerator chips, using nodes down to 3nm with CoWoS packaging.
- Samsung Electronics: Meta sources high-performance memory chips from Samsung Electronics for its AI infrastructure.
- Sandisk: Meta sources flash storage from Sandisk for its AI data center infrastructure.
- Arm Holdings: Meta co-develops the Arm AGI CPU with Arm Holdings to optimize infrastructure for its family of apps.
- Amazon Web Services: Meta signed a deal to buy millions of Amazon's custom Graviton AI-optimized CPUs, diversifying beyond NVIDIA/AMD GPUs and its own MTIA silicon for certain inference workloads.
- Oklo: Meta signed a deal with Oklo in January 2026 to develop a 1.2-gigawatt nuclear power campus in Ohio dedicated to AI data center power, prepaying for output.
- TerraPower: Meta signed an agreement with TerraPower for up to 8 Natrium reactor and energy storage plants -- Meta's largest advanced-nuclear commitment to date -- providing up to 2.1 GW of power by 2035.
- Constellation Energy: Meta signed a 20-year power purchase agreement with Constellation Energy for 1.1 GW from the Clinton nuclear plant starting 2027.
- Vistra: Meta signed a 20-year nuclear power purchase agreement with Vistra in early 2026 to help power its AI data centers.
- NVIDIA: Meta depends on NVIDIA GPUs for the bulk of its AI infrastructure build-out, in a deal chip analysts describe as certainly in the tens of billions of dollars, alongside significant AMD chip purchases.
- Broadcom: Meta is rolling out more than one gigawatt of custom silicon (MTIA) developed with Broadcom to complement its NVIDIA systems.
- Lisa Su: Under Su's leadership, AMD's MI300X accelerator became Meta's chip of choice for all live traffic serving its Llama 405B model.
Development
- Large Language Models: Meta develops the Llama family of open-weight large language models.
- Mark Zuckerberg: Mark Zuckerberg founded Meta (formerly Facebook) and continues to direct its strategic pivot toward AI infrastructure and superintelligence research.
Competition / Other
- Alphabet (Google): Meta competes with Google, Microsoft, and Amazon in frontier AI models and cloud/AI infrastructure investment.
- Microsoft: Meta competes with Microsoft, Google, and Amazon in frontier AI models and enterprise AI platform adoption.
- OpenAI: Meta's frontier AI research (Llama, superintelligence lab) competes directly with OpenAI and Anthropic for AI talent and model capability.
Strategic Risks
- Capex growth has outpaced clear revenue justification, drawing investor skepticism and a 6% stock decline after the latest guidance raise
- Llama's most recent release failed to excite developers, raising questions about Meta's frontier-model competitiveness versus OpenAI and Anthropic
Future Outlook
- Building multiple multi-gigawatt clusters including Prometheus and Hyperion, with Hyperion scaling up to 5GW
- Exploring selling excess AI compute capacity to outside companies, potentially competing with AWS, Azure and Google Cloud
Sources
- U.S. Securities and Exchange Commission (EDGAR) (Jan 2026) — Meta Platforms, Inc. FY2025 Annual Report (Form 10-K), filed with the SEC
- Tom's Hardware / CNBC (Mar 2026) — Meta expands custom silicon strategy with Broadcom co-design and TSMC fabrication
- Meta Platforms, Inc., official investor relations (Apr 2026) — Meta raises 2026 capex guidance to $125-145 billion
- CNBC (Feb 2026) — Meta expands NVIDIA deal for millions of AI chips in data center build-out
- CNBC / Fortune (Apr 2026) — Meta Q1 2026 revenue up 33%, stock falls 6% on higher capex guidance
Generated by InsightNodes — Technology Intelligence Platform. This report reflects sourced, evidence-backed information as of the dates cited above and is not investment advice.
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