Frequency
Frequency

Bread, Brands & Belief

02 February 2026 37:49 Chuck Gose & Jenni Field

Listen to episode

About this episode

In this episode of Frequency, Jenni Field and Chuck Gose kick things off with a surprisingly revealing conversation about bread — and quickly land on a much bigger question: when recognition misses the point, what does it say about how organisations really value people?

That idea becomes a thread running through the episode, as they move into a frank discussion about performative communication. Using recent ICE-related events in the US as a backdrop, they explore the growing pressure employees are putting on leaders to take meaningful, visible stands, and why cautious, logo-signed “de-escalation” statements often feel more like corporate self-protection than leadership. Jenni and Chuck question what employees are actually asking for, and whether silence, symbolism or collective action carries the most weight.

From there, the conversation turns to meetings — why they continue to frustrate people, and what role AI realistically has in fixing them. While tools like AI note-takers and summaries can help with accountability, they argue the real issue is capability, not technology. Poorly run meetings, unclear purpose and a lack of facilitation skills won’t be solved by automation alone. Better meetings still matter — especially for trust, debate and decision-making — and cutting them entirely is not the answer.

This leads into a wider challenge around AI adoption and productivity. As leaders increasingly point to AI’s potential impact on GDP as justification for rapid rollout, Jenni questions whether economic upside is the right — or sufficient — argument. They unpack research showing many organisations are using AI without investing in training or redesigning how work actually gets done. The risk, they argue, is treating AI as a cost-saving shortcut rather than a capability shift. Without strong foundations, clear processes and proper enablement, AI won’t fix broken systems — it will simply amplify them.

The episode then tackles Amazon’s latest round of layoffs and the way employees discovered the news through internal errors. Jenni and Chuck reflect on what moments like this signal about leadership control, humanity and trust — and why how information is shared matters just as much as what is shared.

Finally, they react to reports that AI company Anthropic destroyed large quantities of books to train its models, raising uncomfortable questions about ethics, ownership and optics — especially when legality, public perception and values collide.

They close with their Freq Out of the week, sharing candid reflections on conference speaker rejections, feedback that stings, and why rejection isn’t always a signal that your work isn’t needed — sometimes it’s just redirection.

 

Articles mentioned in this episode:

  • Tech workers push CEOs to condemn ICE as Minnesota CEOs issue a “de-escalation” letter
    https://www.axios.com/2026/01/26/tech-workers-ceos-ice https://www.axios.com/2026/01/25/minneapolis-shooting-ice-target-3m-ceos-letter 

  • The LinkedIn post that inspired the bread conversation
  • Dropbox bets on AI to fix meetings and protect time
  • HR Dive: AI could boost GDP, but only if employees are trained
  • BBC: Amazon layoffs confirmed after an internal email error
  • Ars Technica: Anthropic destroyed millions of print books to train AI
  • Remote Work by Chris Dyer and Kim Shepherd (not Scott)

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Frequency. 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.