Meta Restructures AI Teams to Accelerate Product Development

Meta Restructures AI Teams to Accelerate Product Development

Image: Meta
Meta is reorganizing its AI teams into two new units to enhance product development speed, according to Axios. The AI products team will focus on consumer applications, while the AGI Foundations unit will handle broader AI advancements.

Meta Platforms, Inc. is restructuring its AI teams to enhance the speed of product development, according to Axios. The reorganization divides the AI department into two distinct teams: an AI products team and an AGI Foundations unit.

The AI products team, led by Connor Hayes, will focus on consumer-facing applications, including AI features within Facebook, Instagram, and WhatsApp, as well as Meta's new stand-alone AI app. Meanwhile, the AGI Foundations unit, co-led by Ahmad Al-Dahle and Amir Frenkel, will concentrate on broader AI advancements, such as improving Meta's Llama models and enhancing capabilities in reasoning, multimedia, and voice.

This restructuring aims to provide each team with more ownership and flexibility, allowing for faster product development. Notably, no jobs are being cut as part of this reorganization, and the company's AI research unit, FAIR, remains separate from the new structure.

We hope you enjoyed this article.

Consider subscribing to one of several newsletters we publish. For example, in the Daily AI Brief you can read the most up to date AI news round-up 6 days per week.

Also, consider following us on social media:

AI Brief
AI Brief (X)

Subscribe to Daily AI Brief

Daily report covering major AI developments and industry news, with both top stories and complete market updates

AI Token Webinar

Market report

AI’s Time-to-Market Quagmire: Why Enterprises Struggle to Scale AI Innovation

ModelOp

The 2025 AI Governance Benchmark Report by ModelOp provides insights from 100 senior AI and data leaders across various industries, highlighting the challenges enterprises face in scaling AI initiatives. The report emphasizes the importance of AI governance and automation in overcoming fragmented systems and inconsistent practices, showcasing how early adoption correlates with faster deployment and stronger ROI.

Read more

You May Also Like