Meta CEO Mark Zuckerberg is heavily investing in artificial intelligence (AI) as the company aims to outdo its rivals, including OpenAI, Google and other technology giants.
From AI assistants to smart glasses, Meta is incorporating the technology into its products while diversifying the infrastructure required to support its ambitions.
With some of these ways Meta is competing in the AI race.
1. Developing its Llama AI models
Meta has developed its Llama family of AI models to compete in the rapidly evolving industry.
The company has made Llama models available to developers, enabling businesses and researchers to build applications using Meta's advanced technology.
Meta has made Llama models accessible to developers, letting researchers and business to develop cutting-edge AI-powered apps to simplify apps and functions.
2. Expanding its Meta AI agent
Meta launched a standalone Meta AI app in April 2025, building on its agent's integration with Facebook, Instagram, WhatsApp and Messenger.
The agent provides a range of high-end features including answering questions and helping users to explore information online.
3. Bringing AI to Smart Glasses
Meta is integrating AI into its Ray-Ban Meta smart glasses.
These wearable devices support hands-free assistance, photography and video recording, providing an alternative way to engage with AI beyond smartphones.
4. Building powerful AI infrastructure
Training and running AI models needs substantial computing power.
Meta is heavily investing in data centres and large computing clusters to support its growing AI operations and meet increasing demand for its services.
5. Developing Its Own AI Chips
Meta is also investing in custom-designed chips. In March 2026, the company announced plans to develop and deploy four new generations of its Meta Training and Inference Accelerator chips over the following two years.
These chipsets are particularlt designed to support AI workloads and content recommendations.
Meta's strategy combines AI models, which is broadly used social platforms, wearable devices and computing infrastructure.
Whether these investments will secure a leading position in AI will depend on the performance of its technology and its ability to turn innovation into growth.
