Subvolts take Inside Google DeepMind's AI engine: structure, experiments, and big bets. Feb 18, 2026 - Business
- Learn how Google DeepMind structures its AI research and experiments, offering insights into large-scale AI development strategies.
- Everyday users
- Understand Google's ambitious AI projects, from global prediction to space training, and how AI might impact education.
This interview offers a direct look into the operational mechanics and experimental strategies of a leading AI research lab.
How Google DeepMind Operates & Experiments — With Lila Ibrahim and James Manyika
Audio streams from Alex Kantrowitz. Your place is remembered on this device.
From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
Google DeepMind COO Lila Ibrahim and SVP James Manyika discuss the AI research organization's structure and experimental processes on the Big Technology Podcast. They cover Google's shift toward experimentation, AI's role in education, and ambitious projects like global-scale weather prediction and training AI in space. The episode offers an inside look at Google's AI research mechanics and future bets.
Google's AI leaders explain how their research teams work and test new ideas. They discuss how Google is becoming more experimental and how AI can help with education and even predict weather globally. It's a look at the big projects driving AI forward.
This episode provides an inside view of Google DeepMind's operational mechanics and experimental approach, relevant for anyone tracking major AI lab strategies. Listeners will learn about Google's internal structure, its renewed focus on experimentation, and specific AI applications beyond core models, such as in education and scientific prediction. It's for those interested in how large tech companies organize and execute ambitious AI research, connecting to current discussions on AI's broad societal impact and development pace.
- HostAlex Kantrowitz
- GuestLila IbrahimCOO, Google DeepMind
- GuestJames ManyikaSenior Vice President for Research, Technology, and Society, Google
- Guests: Lila Ibrahim (COO, Google DeepMind), James Manyika (SVP, Google)
- Show: Big Technology Podcast
- Length: 50 minutes
- Topics Covered: DeepMind structure, Google's experimental shift, AI and education, global weather prediction, training AI in space
Lila Ibrahim is the COO of Google DeepMind. James Manyika is the senior Vice President for Research, Technology, and Society at Google. The two join Big Technology Podcast to discuss how Google's AI effort operates and runs experiments. In this conversation, we discuss the fundamental operating structure of DeepMind, how Google proper has become more experimental with the revival of Labs and other programs, and how the company is thinking about AI and education. We also cover weather and flood prediction at global scale, and training AI in space. Hit play for a deep inside look at the mechanics behind Google’s AI research machine and the big ideas it’s betting on next.
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Questions people ask
- What will Lila Ibrahim and James Manyika discuss?
- They will discuss Google DeepMind's operating structure, how Google is becoming more experimental, and how the company thinks about AI and education.
- What are some of the ambitious AI projects mentioned?
- The episode covers weather and flood prediction at a global scale, and training AI in space.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Alex Kantrowitz.