E-commerce

Meta targets agentic shopping as it accelerates new AI rollouts and infrastructure spend

Meta says new AI models and products will ship in the coming months, with a push into agentic shopping and a 2026 capex plan of 115–135 billion dollars.

Meta targets agentic shopping as it accelerates new AI rollouts and infrastructure spend
Jan 30, 2026
2 min read
By Emma Wilson

Key Takeaways

  • Meta says new AI models and products will begin shipping “over the coming months,” with commerce called out as a priority area.
  • Agentic shopping tools could shift product discovery from search/feeds toward action-taking assistants, increasing the value of structured catalog data.
  • Meta plans 2026 capex of 115–135 billion dollars, up from 72 billion dollars in 2025, to fund Superintelligence Labs and core infrastructure.
  • Meta is betting that access to personal context (interests, content, relationships) will differentiate its agents versus rivals.

Meta is preparing to release new AI models and product experiences within months, and it is positioning commerce as a near-term payoff area for its AI rebuild.

Meta’s agentic shopping push inside its commerce stack

On Meta’s latest earnings call, CEO Mark Zuckerberg pointed to “agentic” shopping tools—software agents that can take actions on a user’s behalf, not just answer queries—as a key direction. The goal: help people navigate product catalogs more efficiently and match items to preferences, which matters for advertisers and marketplace-style discovery.

The move mirrors broader industry momentum toward agent-enabled checkout flows. Google has been building infrastructure for agent-driven purchases, while OpenAI has also showcased agentic commerce systems, in both cases with payments and delivery partners joining ecosystems. (See reporting referenced in the source: Google and OpenAI.)

For e-commerce operators, the practical implication is a new acquisition surface: product discovery that happens inside chat- and agent-led experiences rather than keyword search or feeds. That raises stakes for clean product data, pricing, availability, and creative that can be recomposed dynamically.

Personal context, acquisitions, and the infrastructure bill

Meta is arguing that its differentiator is “personal context”—signals from users’ interests, content, and social graph—used to make agents more useful and personalized. That strategy also comes with scrutiny, since personal data advantage can collide with privacy expectations and regulation.

On the product side, Meta previously acquired agent developer Manus and said it would keep selling the Manus service while integrating it into Meta products (Meta announcement).

On the cost side, Meta expects 2026 capital expenditures between 115 billion and 135 billion dollars, up from 72 billion dollars in 2025, citing investment for its Superintelligence Labs efforts and core business (earnings release).

Meta has not pinned down ship dates or named specific products, but the message to marketers is clear: agentic commerce experiences are moving from R&D to distribution-scale surfaces soon.

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Related Topics

MetaMark Zuckerbergagentic commerceshopping assistantsAI modelsinfrastructure spending