×
Meta’s AI Ambitions: Zuckerberg Outlines 3 Paths to Massive Growth
Written by
Published on
Join our daily newsletter for breaking news, product launches and deals, research breakdowns, and other industry-leading AI coverage
Join Now

Mark Zuckerberg Sees 3 Ways AI Will Become a “Massive Business” for Meta

Driving the news: Meta CEO Mark Zuckerberg has become “more ambitious and optimistic” about the company’s ability to lead in AI. He plans to spend up to $40 billion this year, largely on AI investments.

The big picture: Zuckerberg outlined three specific ways he believes AI can become a “massive business” for Meta in the coming years:

  • Business messaging: Developing generative AI tools that allow companies to automate customer interactions and handle more complex tasks. Zuckerberg sees this as a “nearer term opportunity,” potentially less than 5 years away.
  • Ads in AI interactions: Inserting ads or paid content into the AI-powered experiences and recommendations provided to users. This plays to Meta’s core advertising business model.
  • Selling access to AI models: Charging companies and users to access Meta’s larger, more advanced AI models, moving away from the current “open source” approach.

Why it matters: After the metaverse investments spooked investors, Zuckerberg is trying to demonstrate a clearer path for AI to drive significant revenue and profits for Meta in the coming years. However, he acknowledges that realizing these opportunities is a “long-term” prospect.

The bottom line: Meta is betting big on AI as its next major growth driver, but Zuckerberg must convince investors that the company can execute on a profitable AI strategy, unlike its previous high-profile tech pivot to the metaverse.

Recent News

Baidu reports steepest revenue drop in 2 years amid slowdown

China's tech giant Baidu saw revenue drop 3% despite major AI investments, signaling broader challenges for the nation's technology sector amid economic headwinds.

How to manage risk in the age of AI

A conversation with Palo Alto Networks CEO about his approach to innovation as new technologies and risks emerge.

How to balance bold, responsible and successful AI deployment

Major companies are establishing AI governance structures and training programs while racing to deploy generative AI for competitive advantage.