Try for free
For Humanity: An AI Risk Podcast
For Humanity: An AI Risk Podcast

What We Lose When AI Makes Choices for Us | For Humanity #76

20 December 2025 1:20:27 The AI Risk Network

Listen to episode

About this episode

What if the greatest danger of AI isn’t extinction — but the quiet loss of our ability to think and choose for ourselves? In this episode of For Humanity, John sits down with journalist and author Jacob Ward (CNN, PBS, Al Jazeera; The Loop) to unpack the most under-discussed risk of artificial intelligence: decision erosion.

Jacob explains why AI doesn’t need to become sentient to be dangerous — it only needs to be convenient. Drawing from neuroscience, behavioral psychology, and real-world reporting, he reveals how systems designed to “help” us are slowly pushing humans into cognitive autopilot.

Together, they explore:

* Why AI threatens near-term human agency more than long-term sci-fi extinction

* How Google Maps offers a chilling preview of AI’s effect on the human brain

* The difference between fast-thinking and slow-thinking — and why AI exploits it

* Why persuasive AI may outperform humans politically and psychologically

* How profit incentives, not intelligence, are driving the most dangerous outcomes

* Why focusing only on extinction risk alienates the public — and weakens AI safety efforts

👉 Follow More of Jacob Ward’s Work:

📺 Subscribe to The AI Risk Network for weekly conversations on how we can confront the AI extinction threat.

#AISafety #AIAlignment #ForHumanityPodcast #AIRisk #ForHumanity #JacobWard #AIandSociety #ArtificialIntelligence #HumanAgency #TechEthics #AIResponsibility



This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit theairisknetwork.substack.com

More AI podcast episodes

Browse all →

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 For Humanity: An AI Risk Podcast. 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.

Still have questions?

Contact Support