We Asked Gen Z How They Use AI. Their Answers Were Surprising. (ft. Bernie Sanders)

Summary of the subtitles (main arguments and points)

The video argues that public debate about AI is overly simplified. While Gen Z is often portrayed as the group that uses AI the most, they also express unusually negative or anxious opinions about it—creating a “paradox” the mainstream conversation often ignores.

1) Gen Z’s contradiction: heavy users, skeptical outlook

• Adults ages 18–34 are cited as having negative views of AI CEOs.
• Pew research is referenced to show many are more concerned than excited about AI.
• In the filmed discussion, participants voice similar tension: even frequent users worry AI may not be good for society.

2) AI as a tool vs. AI as a threat: “How to live with it”

Participants repeatedly frame AI as both:

• Powerful and inevitable, and possibly beneficial
• Unsettling, especially due to uncertainty about:
  • who benefits
  • whether adequate legal and political safeguards exist

3) Real-life use cases: relationships, school, work, and “red lines”

• Dating/friendship
  • Most participants see AI use in relationship-adjacent contexts as strange or unacceptable.
  • Some argue it could be okay or helpful—especially for mental health support.
  • Concerns remain about consent, authenticity, and psychological harm.
• Social skills after COVID
  • Some connect heavier online life during COVID to weaker in-person social skills.
  • They criticize schooling approaches that rely more on AI than human teaching.
• School/job applications
  • Discussion includes using AI for assignments or resumes, particularly if it violates norms or rules when undisclosed.
  • Participants describe guilt and ethical discomfort.
  • One notes employers may already use AI to screen resumes, complicating “fairness.”
• “Human element” concern
  • Participants worry AI reduces friction and human interaction.
  • They question whether this loss matters, particularly in service jobs.

4) Workplace experiences: AI added by corporations, not for users’ benefit

A Starbucks worker describes an app feature described as a “ChatGPT feature” that:

• recommends nonexistent items
• makes ordering more chaotic

The broader point: harms may come less from AI’s raw capability and more from corporate incentives and rollout practices.

5) Economic critique: efficiency for bosses, not workers

With Senator Bernie Sanders joining, the discussion shifts to the economy:

• AI is framed as part of a push for efficiency that primarily helps employers while displacing workers.
• Participants argue promised “new jobs” often lag behind real disruption.
• Investment focuses on large-scale infrastructure and model training more than worker-centered outcomes.
• Automation is described as already happening in real contexts (e.g., self-driving vehicles) without clear alternatives for people losing work.

6) “Who is pushing AI?” and power without democracy

A major theme is that AI development is driven by wealthy tech and corporate leaders—power concentrated among:

• wealthy individuals
• major companies

This influence is portrayed as undermining democratic control and potentially replacing citizens with “subjects” under corporate power rather than public governance.

7) Sanders’ policy vision: socializing the benefits and constraining harm

Sanders proposes an “AI American Wealth Fund” concept:

• If AI prospers, the American public should receive at least half the benefits.
• The board should include people selected by the public.
• Sanders argues this could block plans that eliminate mass numbers of jobs.
• He also calls for transparency and oversight related to data centers, using government commission mechanisms with subpoena power.

8) Pushback: regulation and labeling vs. direct government ownership

Some participants disagree with government taking stakes in AI companies. They argue:

• the debate shouldn’t become a binary choice (pro-accelerate vs. total stop)
• regulatory approaches should include:
  • privacy protections
  • dynamic pricing regulation
  • labeling AI content to reduce confusion about what’s real vs. fake

9) Environmental/community harm and the “infrastructure” analogy

One participant compares data centers to other regulated infrastructure (e.g., highways, railroads, water plants), arguing regulation can make them safer.

Others respond that:

• regulation failures in other domains (e.g., railroad safety) show regulation alone may be insufficient
• communities near data centers shouldn’t have to bear the risks

10) Political realism: will anything pass?

After Bernie leaves, the group discusses whether change is likely:

• Many lawmakers are seen as either not understanding youth concerns or not caring.
• There’s pessimism about passing AI reforms due to:
  • campaign finance corruption
  • billionaire-backed political influence
• Sanders’ side counters with optimism grounded in organizing and election victories:
  • “the response is to educate, organize and win elections.”

11) Closing perspective: AI won’t happen “to” Gen Z—it will happen “because of” choices

The video ends by emphasizing:

• AI’s arrival may be likely
• its social consequences are not predetermined
• young people should organize and participate to shape outcomes, rather than assume leaders will act in their interests

Presenters / contributors

• Senator Bernie Sanders
• Jack / host and interviewer (not clearly named in the subtitles)
• Gen Z participants (spoken names/handles in subtitles): Rabia, Silas, Hope, Liam, Tony, Sultan, Tyasia, Tatiana