AGI.
Also known as: Artificial General Intelligence
An AI system that can match humans in any intellectual task, rather than the current situation where AI is brilliant at some things and not yet able to match us humans at others. The definition is not agreed around the world and certainly not between labs, with some claiming we're there already and others disagreeing. Tests have been proposed such as Google DeepMind's 10 part cognitive tests for example, which would evaluate any supposed AGI against categories such as reasoning and social cognition. To reach the singularity, we need to have got to at least AGI first, followed by ASI.
In the wild
“AGI systems conceivably could handle novel situations, not just perform well on a single, narrow task”
Seen here: Stanford HAI, 2026
For AI users
One to be aware of and to keep abreast of news. It might be you choose to select models off the back of different labs' philosophies on AGI.
For business leaders
AGI might in itself be a label used for marketing hype. Best to focus on what a system can do, and how it powers you towards your strategic goals whilst putting appropriate governance in place. Knowing a system is AGI (or near it) might mean you want to put more guardrails and metrics in place. Plus deploying the right tool for the right job too, don't have token-hungry smarter models doing simple tasks or else your tokenomics won't make sense.