teleo-codex/entities/ai-alignment/google-deepmind.md

type	entity_type	name	domain	secondary_domains	handles	website	status	founded	founders	category	stage	funding	key_metrics	competitors	tracked_by	created	last_updated
entity	lab	Google DeepMind	ai-alignment	internet-finance	@GoogleDeepMind	https://deepmind.google	active	2010-01-01	Demis Hassabis Shane Legg Mustafa Suleyman	Frontier AI research laboratory (Google division)	mature	Google subsidiary — $175-185B capex allocated 2026	enterprise_share consumer_share capex_2026 models 21% of enterprise LLM spending 18.2% via Gemini app $175-185B Gemini 3 Deep Think, Gemini 3.1 Pro, Gemini 3.1 Flash Lite	OpenAI Anthropic xAI	theseus	2026-03-16	2026-03-16

Google DeepMind

Overview

Google's combined AI research division, formed from the merger of Google Brain and DeepMind. Led by Demis Hassabis (2024 Nobel laureate). The most conservative AGI timeline among major lab heads (2030-2035), with the deepest scientific AI research program and the largest distribution advantage (Search, Chrome, Workspace, Android — 2B+ devices).

Current State

• Gemini 3 Deep Think achieves gold-medal Olympiad results in Physics, Chemistry, Math
• 21% enterprise LLM, 18.2% consumer — third place in both
• Massive capex: $175-185B in 2026
• Partnerships: SAP, Salesforce, Atlassian via Google Cloud

Timeline

• 2010 — DeepMind founded in London by Hassabis, Legg, Suleyman
• 2014 — Acquired by Google for $500M
• 2023 — Google Brain and DeepMind merged into Google DeepMind
• 2024 — Hassabis awarded Nobel Prize in Chemistry (AlphaFold)
• 2025-11 — Gemini 3 Deep Think released
• 2026-02 — Gemini 3.1 Pro released

Key Figure: Demis Hassabis

Most conservative frontier lab leader: expects AGI by 2030-2035, believes 1-2 major breakthroughs beyond transformers are needed. This contrasts sharply with Altman (2026-2027) and Musk (2026).

Competitive Position

Dominant distribution (2B+ devices) but trailing in enterprise and consumer share. The distribution moat means Google DeepMind doesn't need to win on model quality — they need to be good enough for their models to be the default on billions of devices. This is the Apple strategy applied to AI: if models commoditize, distribution wins.

Alignment Significance

Co-founder Shane Legg coined the term "artificial general intelligence." DeepMind has the longest-running AI safety research program of any frontier lab. Hassabis's conservative timelines may reflect deeper technical understanding or institutional caution — the alignment community values this conservatism but worries it won't survive Google's commercial pressure.

Mustafa Suleyman (co-founder) now leads Microsoft's consumer AI, creating a unique dynamic where two DeepMind co-founders lead competing AI efforts.

Relationship to KB

• adaptive governance outperforms rigid alignment blueprints because superintelligence development has too many unknowns for fixed plans — Hassabis's conservative approach aligns with adaptive governance
• the alignment tax creates a structural race to the bottom because safety training costs capability and rational competitors skip it — Google's capex suggests they can afford the tax longer than smaller labs

Topics:

• _map