AGI Is An Allocation Event
The article argues that AGI will change who has access to capability, expertise, and opportunity. That makes it more than a technical shift: it is a social and institutional shift.
Why this course now
The Societal Argument
AGI makes a tools-only response too small. The durable question is not only what the machine can do, but what people, universities, and institutions are for when capability is redistributed.
Berkeley Is The Right Place
Berkeley is framed as a public institution built to distribute opportunity at scale. Its open research posture, AI ecosystem, and governance culture make it a fitting place to ask what AGI means for students and society.
The Question Is Human
The article contrasts short-lived tool training with a longer-lived human question: what am I for when AI can do much of what I was trained to do?
Why the teaching team matters
A sociology and engineering pairing
The article presents Trond Petersen's work on opportunity structures and discrimination as central to the course. His perspective helps students examine how opportunity is allocated, while Alex Bayen's engineering perspective helps students understand how technical systems are built. Together, they represent the course's larger idea: students need both the human lens and the systems lens.
What this means for students
Not a tools course
The course is about becoming AGI-ready as a person, not simply learning the latest software interface. Students use AI to build a governed venture, research project, or media art project while developing judgment, accountability, and a clearer sense of their own role in an AI-shaped world.