San Francisco high school student seeks expert insights on AI's role in widening the city's wealth gap for urgent school project.

A junior at a San Francisco high school is crowdsourcing primary source material for a project examining AI's impact on local wealth inequality.

The student is posing three specific questions: whether AI is driving the wealth gap or accelerating existing trends, which worker groups face wage stagnation risk, and what policy solutions could ensure equitable wealth distribution.

The assignment has a tight deadline (due the next morning), and the student is open to citing respondents anonymously or by name, preferring named attribution.

The request targets individuals with expertise in tech, policy, and economics who can provide informed perspectives on AI's socioeconomic effects in the Bay Area.