How is Google DeepMind addressing AI bubble concerns?

Demis Hassabis acknowledges that some parts of the AI industry appear bubble-like due to unsustainable startup funding, but believes Google DeepMind is resilient due to its research and product integration.

What is Google DeepMind's approach to responsible AI development?

Google DeepMind is committed to responsible AI development, using measures like watermarking technology and focusing on demonstrating clear societal benefits through AI for science and medicine.

Home / Technology / Google DeepMind on AI Race: 4-8 Years to AGI

Google DeepMind on AI Race: 4-8 Years to AGI

Q: What is Google DeepMind's timeline for achieving AGI?

Demis Hassabis estimates Artificial General Intelligence (AGI) could be achieved in approximately 4 to 8 years, with a 50% chance by 2030.

24 Jan

•

Summary

Google's Gemini 3 model leads AI leaderboards.
Demis Hassabis estimates AGI is 4-8 years away.
Google DeepMind focuses on responsible AI development.

Google DeepMind on AI Race: 4-8 Years to AGI

Demis Hassabis, head of Google DeepMind, stated that their latest model, Gemini 3, is currently outperforming all competitors on AI leaderboards. He anticipates Artificial General Intelligence (AGI) could be achieved in approximately 4 to 8 years, with a 50% chance by 2030.

Hassabis acknowledged parts of the AI industry appear "bubble-like" due to excessive startup funding without products. However, he believes Google DeepMind is well-positioned due to its deep research capabilities and ability to integrate AI into its vast product ecosystem.

Google DeepMind is committed to responsible AI development, employing measures like watermarking technology to mitigate misuse. They are also advancing AI for scientific discovery, including drug development and materials science, aiming to demonstrate unequivocal societal benefits.