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)