Try for free
The Block Runner Crypto Podcast
The Block Runner Crypto Podcast

298. TBR - Vibe Coding The Metaverse | AI Inflection Matching Geo-politics | DOOM On TRAC 🔫

28 January 2026 1:11:47 William and Iman

Listen to episode

About this episode

AI isn’t just another tech cycle. It’s colliding with geopolitics, labor markets, crypto, and creator economies all at once.

In this episode of the Block Runner Podcast, we break down why the global landscape is shifting faster than most people realize. From delayed tariffs and geopolitical power struggles, to AI-driven job displacement, no-code engineering, and the rise of vibe coding, this conversation explores what actually matters beneath the noise.

We connect the dots between AI infrastructure, resource bottlenecks, robotics, and why this moment feels eerily similar to early crypto. Except this time, execution is possible. We also dig into where crypto still fits, how AI agents interact with crypto rails, and why new business models like creator capital markets are emerging.

To close it out, we run a live Doom deathmatch on Track to demonstrate peer-to-peer infrastructure in action, then share updates on NAT, community conviction, and why long-term alignment still wins.

If you’re trying to understand where AI, crypto, and creators intersect next, this episode is for you.

Topics:

  1. First up, AI, colliding with geopolitics, labor markets, crypto, and creator economies all at once

  2. Next, break down why the global landscape is shifting faster than most people realize.

  3. and Finally, we run a live Doom deathmatch on Track to demonstrate peer-to-peer infrastructure in action

Please like and subscribe on your favorite podcasting app!

Sign up for a free newsletter: www.theblockrunner.com

Follow us on: Youtube: https://bit.ly/TBlkRnnrYouTube

Twitter: bit.ly/TBR-Twitter

Telegram: bit.ly/TBR-Telegram

Discord: bit.ly/TBR-Discord

$NAT Telegram: https://t.me/dmt_nat

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 The Block Runner Crypto 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