Google co-founder first to confirm AGI goal for Gemini

At Google I/O on May 21, 2025, co-founder Sergey Brin made a surprise appearance, announcing Google’s goal for its AI system, Gemini, to achieve artificial general intelligence (AGI).

This marked the first time a Google executive clearly said the company’s intention to pursue AGI, a space often linked to competitors like OpenAI.

In a conversation with DeepMind CEO Demis Hassabis, moderated by Alex Kantrowitz, Brin acknowledged the competitive nature of AGI development.

Hassabis advised caution, describing AGI as a theoretical concept requiring better consistency, reasoning, and creativity.

Brin predicted AGI could arrive before 2030, while Hassabis placed it shortly after. Both agreed breakthroughs in AI reasoning and consistency are key to reaching AGI.

They emphasized the need for algorithmic innovation alongside computational power.

🔗 Source: VentureBeat

🧠 Food for thought

1️⃣ Competing AGI definitions reveal strategic business positioning

Google’s AGI announcement comes amid a landscape where major AI labs define AGI in fundamentally different ways, reflecting their business priorities rather than technical consensus.

While DeepMind’s Hassabis defines AGI in terms of human brain architecture capable of performing the full range of human intellectual tasks, OpenAI and Microsoft have taken a profit-oriented approach, defining AGI as systems that can generate $100 billion in profits 1 2.

This definition divergence shapes development timelines and investment priorities, with OpenAI projected to face significant losses until approximately 2029 before reaching its profit-centric AGI benchmark 1.

Meta’s Yann LeCun represents yet another perspective, expressing skepticism about near-term AGI and suggesting it may take decades due to the need for fundamental architecture changes 3.

The contrasting approaches highlight how technical AI development is increasingly influenced by corporate strategy, with Google now explicitly positioning itself as an AGI front-runner despite Hassabis’s more measured timeline.

2️⃣ The Brin-Hassabis tension mirrors broader industry divide

The timeline disagreement between Brin (“before 2030”) and Hassabis (“just after”) reflects a fundamental tension seen across the AI industry between business executives pushing for competitive positioning and research leaders advocating scientific precision.