Rewiring the American Edge
Rewiring the American Edge

S2E1 | Mar 3, 2026 - New Year, New Rules: Signals for the Economy in 2026

04 March 2026 43:40 Dr. Billy Riggs, Vipul Vyas

Listen to episode

About this episode

In the Season 2 premiere of Rewiring the American Edge, hosts Billy Riggs and Vipul Vyas kick off 2026 not with predictions, but with signals—looking at the moments when systems are stress-tested and reveal how they actually function. The conversation explores several major institutional transitions shaping the American economy. The hosts examine the economics of big-time college athletics and how the rise of name–image–likeness (NIL) compensation has transformed university incentives, raising deeper questions about governance and the mission of higher education. As universities chase sports revenue and branding opportunities, Riggs and Vyas debate whether institutions risk drifting away from their core purpose: educating a globally competitive workforce.

The episode also addresses shifts in the labor market driven by automation and artificial intelligence. Rather than a simple divide between white-collar and blue-collar work, the hosts argue that the future economy will favor hybrid skill sets where technical labor, trades, and applied expertise become more valuable. In this environment, the value of traditional labor may rise while some forms of white-collar work face growing automation pressure.

Finally, the discussion turns to the rapid investment boom in AI. The hosts compare the current wave of AI investment to the dot-com era, noting that even if a speculative bubble emerges, the resulting infrastructure and capabilities could still drive long-term innovation. They highlight the biggest opportunity not in glamorous frontier AI development, but in practical applications that remove administrative “drudgery” from everyday work. Across all these topics, the central theme remains consistent: America’s competitive advantage will depend not on hype, but on its ability to align technology, governance, education, and labor markets quickly and intelligently.

Takeaways and Key Themes

  • Institutional stress tests reveal how systems really function
  • AI is influencing job markets and educational strategies.
  • College sports are now significant revenue generators for universities, and reshaping university governance and incentives
  • Workforce shifts are being driven by AI and automation, and a focus on to automate mundane tasks, that improve efficiency could be key in the future
  • Blue-collar and technical labor are gaining new economic value, while white collar labor is being devalued
  • AI may experience a boom-bust cycles, but it will be a net societal win, and the potential for bubbles
  • Ultimately both workers, businesses, and higher education institutions must adapt to survive in a global market.

Soundbites

  • “The future rarely arrives through PowerPoint predictions. It shows up through stress tests—moments when systems reveal what they’re actually designed to do.”  — Billy Riggs 
  • “When systems are under pressure—whether it’s a university, a market, or a government—that’s when you find out what they were really built to do.”  — Billy Riggs
  • “A lot of institutions are about to discover that the way they used to work simply won’t work anymore.”  — Vipul Vyas
  • “The future isn’t white collar versus blue collar. It’s hybrid—technical, skilled, and adaptive.”  — Billy Riggs
  • “We may be entering a moment where the value of labor rises—while some white-collar work becomes easier to automate.”  — Billy Riggs
  • “Universities really have two missions: create a competitive workforce and create people who can succeed in society. Everything else is peripheral.”  — Vipul Vyas
  • “Even if there is an AI bubble, what you get on the other side is infrastructure—and that infrastructure makes the next wave of innovation cheaper.”  — Vipul Vyas
  • “The biggest opportunity for AI isn’t glamour—it’s removing drudgery from everyday work.”  — Vipul Vyas
  • “America’s edge has never been about hype. It’s about adapting faster than everyone else.”  — Billy Riggs

Chapters

00:00 - Kicking Off 2026: Signals Over Predictions

04:11 - Institutional Transition: Adapting to Change

06:42 - Economic Divergence: Fragility and Instability

09:37 - The Value of Labor: Shifts in Workforce Dynamics

14:02 - The Machine of College Sports: Economics and Education

24:06 - The Evolution of Sports as Entertainment

26:12 - Monetization and the Student Athlete Debate

28:26 - Balancing Sports and Educational Missions

32:16 - The Future of Education in a Changing World

37:29 - AI and the Future of Work

42:19 - Preparing for a Hybrid Workforce

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Rewiring the American Edge. 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.