In a move that could reshape the competitive landscape of artificial intelligence, Meta is reportedly preparing to launch a new, closed-source AI model codenamed "Avocado" in early 2026. This development signals a significant strategic shift for the social media giant, which has championed open-source AI through its Llama series. The decision, driven by CEO Mark Zuckerberg and new Chief AI Officer Alexandr Wang, reflects a growing focus on monetization and a more direct challenge to rivals like OpenAI and Google.
Reported Timeline & Key Details:
- Model Codename: Avocado
- Expected Launch: Q1 2026 (Spring)
- Model Type: Closed-source, proprietary
- Strategic Shift: Move away from open-source Llama series
- Key Driver: Monetization of AI access
- Primary Competitors: OpenAI, Google
- Key Leadership Involved: CEO Mark Zuckerberg, Chief AI Officer Alexandr Wang
A Major Strategic Reversal for Meta
Meta's journey in the AI race has been defined by its commitment to open-source models, most notably the Llama series. This approach fostered widespread adoption and development within the research community but offered limited direct monetization pathways. According to recent reports, this philosophy is set for a major overhaul. The company is actively developing "Avocado," a large language model designed from the ground up as a closed-source, proprietary product. This shift would allow Meta to sell access to its AI, mirroring the business models of its primary competitors, Google and OpenAI. The project has the personal attention of CEO Mark Zuckerberg, indicating its high strategic priority within the company's future roadmap.
Context on Meta's AI Strategy Evolution:
- Previous Stance: Championed open-source AI (Llama models).
- Zuckerberg's Past View (2024): Criticized closed-source models for stifling innovation.
- Recent Action (2025): Major executive hiring spree for AI talent.
- New Preference: Chief AI Officer Alexandr Wang favors closed models for commercial control.
Leadership and Internal Shifts Driving the Change
The push towards a closed-source model is reportedly influenced by key new leadership. Alexandr Wang, Meta's recently appointed Chief AI Officer and the founder of Scale AI, is said to prefer closed models over open ones. This preference aligns with a broader commercial strategy to create a new, substantial revenue stream from advanced AI services. The development of Avocado follows a major hiring spree earlier this year, where Meta recruited high-profile executives and engineers from companies like Apple and specialized AI labs. This influx of talent suggests a concerted effort to accelerate in-house AI capabilities and compete at the highest tier of model performance and sophistication.
The Implications of Moving Away from Open Source
Abandoning its open-source stance represents a notable reversal for Zuckerberg. Just over a year ago, in a public conversation, he criticized closed platforms for restricting innovation, expressing a desire to build fundamental technology free from the constraints of other "platform providers." The move to a closed model like Avocado suggests a pragmatic calculation that the potential revenue and competitive advantages now outweigh the benefits of open collaboration. A closed model gives Meta greater control over its technology, security, and how it is deployed, which is crucial for integrating AI deeply into its suite of consumer and business products.
Expected Launch and Competitive Context
Current reports indicate that the Avocado model is targeting a launch in the first quarter of 2026, potentially in the spring. This timeline sets the stage for a new phase of competition in the generative AI market. By offering a premium, closed-source model, Meta aims to capture enterprise customers and developers seeking powerful, supported AI tools. The success of this venture will depend on Avocado's performance, pricing, and how well it integrates with Meta's existing ecosystem, including its advertising platforms and social apps. If successful, it could finally position Meta as a direct, full-stack competitor to the current leaders in commercial AI.