Try for free
Tech Won't Save Us
Tech Won't Save Us

The Year in Tech w/ Jathan Sadowski & Brian Merchant

24 December 2025 1:28:14 Paris Marx

Listen to episode

About this episode

Paris Marx is joined by Jathan Sadowski and Brian Merchant to reflect on the year in tech, discuss the worst people in Silicon Valley, and share what they’ll be keeping an eye on in 2026.

Jathan Sadowski is the author of The Mechanic and the Luddite, co-host of This Machine Kills, and a Senior Lecturer at Monash University. Brian Merchant is the author of Blood in the Machine and writes a newsletter of the same name.

Tech Won’t Save Us offers a critical perspective on tech, its worldview, and wider society with the goal of inspiring people to demand better tech and a better world. Support the show on Patreon.

The podcast is made in partnership with The Nation. Production is by Kyla Hewson.

Also mentioned in this episode:

  • Visit Francesca Bria’s useful Authoritarian Stack

  • Trump signs an executive order to keep states from implementing their own AI legislation

  • The Trump administration is gutting the Department of Education, climate science programs, and public health

  • Disney and OpenAI have reached a billion dollar deal

  • Bernie Sanders calls for a moratorium on AI data centre construction

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 Tech Won't Save Us. 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