Meta Bets Big on Superintelligence: A Strategic Shift

In a context where Meta (formerly Facebook) lags behind competitors like OpenAI, Google, and Anthropic, the group led by Mark Zuckerberg has launched an unprecedented offensive: the launch of a new lab dedicated to superintelligent AI. According to the New York Times, Meta is mobilizing around 50 top-level experts, personally recruited by Zuckerberg, to design next-generation cognitive models capable of rivaling — or even surpassing — human intelligence.

This project involves a colossal investment, with a financial injection plan estimated at over $10–15 billion into Scale AI — a startup specializing in machine learning data annotation and enrichment. The founder of Scale, Alexandr Wang, is expected to lead this lab, marking a crucial step in the rise of AGI (artificial general intelligence) at Meta.

Why this shift?

• Notable delay: Meta's Llama 4 model showed its limitations, and the "Behemoth" model was delayed, triggering an internal alert.
• Fierce competition: Facing advancements from OpenAI, Google DeepMind, and Anthropic, Meta feels the urgency to catch up on its lack of lead.
• Talent race: Zuckerberg offers nine-figure salaries to attract the world's AI elite, a strategy already visible with the creation of the “Fantastic 50.”

🔍 The Prospects and Challenges of the Race Towards AGI

This lab represents a major risk-taking: betting on AGI today is considered optimistic — even premature — by many experts. The race for infrastructure (Meta plans a budget of $64–72 billion in CAPEX for 2025) increases the pressure on returns on investment.

Ethical, Security, and Control Issues

The emergence of superintelligence raises major ethical issues:

• Trust and security: Meta will need to ensure that these superintelligent systems do not go astray or become uncontrollable, an issue highlighted by the scientific community.
• Responsible use: The opening of data, notably via Scale AI, requires strict management of biases, privacy, and national security.
• Expected regulation: While the creation of AGI cannot be unknown to legislators, the international regulatory framework remains to be defined.

Meta's strategic shift towards creating a “superintelligent AI” center, supported by massive investments and the recruitment of industry elites, represents a bold strategy to regain an edge in the global AI competition. However, this gamble comes with major technical, financial, and ethical risks.

With this momentum, Meta could become a spearhead in the quest for AGI — provided it imposes strong standards of security, ethics, and governance. Responsible governance will be essential to avoid pitfalls and ensure public and regulatory trust.