Why Should I Trust You?
Why Should I Trust You?

A Conversation w Gen Z On AI: Promise, Populism, Anger & Hope. How Do They Wish Older Gens Spoke About AI?

04 June 2026 1:16:13 Brinda Adhikari, Tom Johnson, Maggie Bartlett, Dr. Mark Abdelmalek

Listen to episode

About this episode

Today, we're widening our lens to take on AI and trust because just like public health, science, and medicine, AI is becoming a trust minefield. As trust in institutions, experts, and Big Tech continues to erode, AI is arriving with enormous promises and profound uncertainties. (And don't worry—we're not taking our foot off the gas on trust and health. We're just doing more!)

AI now has us confronting fundamental questions about winners and losers, promises of medical breakthroughs versus warnings of widespread job displacement, and whether the new technology encourages us to offload difficult thinking or frees us to think more deeply. And right in the middle of all these questions is the generation coming of age at the same time as AI.

So, today, we've gathered Gen Zers, high school students, college students, recent graduates, young professionals, and people entering the trades. We discuss the issues surrounding AI, especially its impact on education and work, which are already shaping their lives.

How do they see the opportunities and risks of AI? What excites them? What worries them? Ultimately, what kind of future do they want to build and what kind of lives do they want to lead?

Hosts:

Brinda Adhikari

Tom Johnson

Maggie Bartlett

Dr. Mark Abdelmalek


Guests:

Elizabeth Frost

Khushi Patel

Sawyer Everitt

Bryson Craven

Rotimi Kukoyi

Matt Geistler

Keren Michelle-Asare

Rohan Licht

Michael D. Green




Thanks for listening! If you like us, please leave a review, rate us, and please subscribe! 

Got questions? Comments? We'd love to hear from you! Email us at [email protected]

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Why Should I Trust You?. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.