Google rebrands Google Research as Google AI and expands the Google AI website
Posted by Christian Howard, Editor-in-Chief, Google AI Communications … For the past several years, we've pursued research that reflects our commitment to make AI available for everyone.
Context & Ripple Effects
By 2018, Google had already been signaling AI's centrality for two years: John Giannandrea's appointment as search chief framed AI as the key to defending search dominance (AI became the core of Google's search leadership), and the company opened its first China research center in Beijing (an AI research center in Beijing) to tap talent abroad.
The rebrand of Google Research as Google AI completes that rhetorical shift — the research organization itself now carries the AI name, and the expanded website turns internal work into a public showcase. It also foreshadows what came later: in 2024 Google consolidated model-building teams across Research and DeepMind (Research and DeepMind were consolidated) and built an AI-focused Platforms and Devices group (the Platforms and Devices reorganization), making this 2018 naming change the early marker of AI becoming Google's organizing identity.
First-order effects
- Researchers and communicators under the former Google Research banner now operate inside an explicitly AI-branded organization, with Christian Howard's Google AI Communications team controlling a larger public-facing web presence for the work.
Second-order effects
- Once 'Google AI' exists as the named home for the work, the standalone 'Research' label loses its reason to exist — clearing the path for the 2024 consolidation that moved model-building and Responsible AI teams out of Research and into DeepMind.
Third-order effects
- If the pattern holds, AI stops being a department inside Google and becomes the structure of the company itself — product groups like Platforms and Devices are reorganized around it, and even safety functions migrate with the models rather than staying with the research brand.
The trend: Google has spent the better part of a decade converting AI from a research specialty into its corporate identity, with each renaming and reorganization tightening that integration.