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capability overhang
also AI capability overhang or capabilities overhang
Definition of capability overhang
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: a gap between the abilities an AI model may already possess and the abilities that evaluations, prompts, tools, or users have so far succeeded in revealing
- The safety team tested for a capability overhang by giving the model stronger scaffolding and more varied evaluation tasks.
- A new elicitation method exposed a capability overhang without changing the model's weights.
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: a gap between what available AI systems can do and how fully people, organizations, or countries use those capabilities in practice
- Training workers to apply agents to complex workflows could reduce the company's capability overhang.
- The report compared countries by the depth of AI use rather than access alone.
Two meanings, one word
In everyday English
An overhang is something that projects beyond an edge or an accumulated excess that may affect what happens later.
In AI
A gap between the abilities an AI model may already possess and the abilities that evaluations, prompts, tools, or users have so far succeeded in revealing.
Origin & history
Capability overhang appeared in public AI discussion by 2022 for hidden or not-yet-elicited abilities in existing systems. In 2026, OpenAI used the same phrase in an economic and adoption sense, defining it as the gap between what AI tools can do and how typical users, organizations, and countries use them.
Test yourself
Which of these is the meaning of capability overhang?
Cite this entry
"Capability overhang." AI Dictionary, Dadgogo, https://dadgogo.com/dictionary/capability-overhang/. Accessed 6 Oct. 2026.