Chinese AI lab MiniMax Group has defined artificial general intelligence through economic output rather than technical benchmarks. Co-founder Yeyi Yun stated the company will consider AGI achieved when AI systems generate 1% of global GDP.
MiniMax's approach to measuring AGI represents a shift from traditional capability-focused assessments toward economic impact metrics. The 1% global GDP threshold translates to roughly $1 trillion annually, based on current economic figures.
This definition suggests the lab views AGI maturity not through raw computational power or task performance, but through real-world economic contribution. The metric encompasses AI systems capable of generating measurable economic value across multiple sectors and applications.
The announcement follows increased competition among Chinese and Western AI labs to define and achieve AGI status. Other organizations have pursued various technical milestones and reasoning capabilities as AGI markers.
MiniMax's economic framework reflects growing focus on practical AI deployment and commercialization rather than abstract capability improvements. Setting a concrete economic target provides a measurable endpoint for development and funding discussions.
The Chinese AI lab has previously raised significant funding and developed models competing with international counterparts in language and reasoning tasks.
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