Nvidia’s Jensen Huang says ‘we’ve achieved AGI.’ But no one can agree on what that means

Key Points:

• Nvidia CEO Jensen Huang claimed AGI (artificial general intelligence) has already been achieved, using an unusual metric: an AI starting and growing a technology business worth $1 billion, though he acknowledged the company need not maintain that valuation indefinitely.
• Most AI researchers reject Huang’s business-value definition of AGI, favoring broader cognitive benchmarks; the term remains ill-defined and controversial despite its prominence as a goal among leading AI companies.
• Recent research from Google DeepMind and others proposes scientific frameworks to measure AGI by assessing AI across multiple cognitive faculties—such as perception, reasoning, and social cognition—comparing AI performance to that of well-educated human adults.
• Current AI models, including advanced systems like OpenAI’s GPT-5, fall short of matching human-level general intelligence across all cognitive domains, showing uneven strengths and weaknesses in different areas.
• The corporate use of AGI as a marketing slogan contrasts with academic ambiguity; contracts like Microsoft’s with OpenAI tie AGI to financial milestones (e.g., generating $100 billion in profits), which have yet to be met, highlighting the ongoing debate over what truly constitutes AGI.