Lab.
Also known as: AI lab, the labs
In an AI context, "lab" is shorthand for the companies and not-for-profits building frontier AI models: Anthropic, OpenAI, Google DeepMind, Meta, Mistral, xAI, DeepSeek, Alibaba, Moonshot AI, Z.ai, with a few smaller names too. "The labs." Small in number throughout the world and concentrated in the US and China currently. Anthropic, OpenAI, and Google DeepMind are US labs, Mistral is positioned as Europe's Sovereign AI, and China has its own frontier labs (DeepSeek, Alibaba's Qwen and more) developing largely outside US chip supply chains. Barriers to entry include compute, access to talent, and access to funding (as creating and training frontier models uses a lot of all three). In a more academic setting, an AI lab can mean a group of researchers researching and developing AI, and they might be actively publishing journal articles in the field.
In the wild
“Google DeepMind CEO Demis Hassabis steps aside in shake-up of AI lab”
Seen here: FT, 2026
For AI users
Lab sounds academic and experimental, and maybe also neutral. The non-academic setting definition above is far from neutral, and whilst they may publish papers and lead research that's at the forefront of their field, these labs are usually pushing forward for commercial gain.
For business leaders
Don't bumble into a lab choice just off the back of "everyone's talking about [insert newsworthy model or feature here]". A good AI strategy and the governance wrapped around it should support making considered decisions around which lab(s)'s technology you choose to use in your AI infrastructure. Deepen your standard procurement process to make sure that AI-related due diligence is built in, to build trust and reduce risk. Consideration points include geopolitical exposure (a model at risk of US export rules, for instance), jurisdictional questions around data protection and AI regulation, and an understanding of the lab's direction and philosophy. And don't forget an understanding of your own data confidentiality too while using that lab's products. Taking time to evaluate is really sensible given that in many cases the keys to your kingdom will ultimately pass through that lab's products. A board should also support with healthy challenge on lab choice too.