Frequency Podcast Por Chuck Gose & Jenni Field arte de portada

Frequency

Frequency

De: Chuck Gose & Jenni Field
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Frequency is where internal comms, HR, leadership and employee experience come together with lively conversation, expert insights, and plenty of friendly debate. Hosted by industry firestarters Chuck Gose and Jenni Field, this podcast tackles the big workplace challenges—from reaching frontline employees to shaping a strong company culture—all with a mix of sharp opinions, candid stories, and discussion.

Chuck and Jenni bring their unique perspectives and personalities to every episode, ensuring you get more than just the usually-tedious industry insights. Whether it’s sparking new ideas or challenging the status quo, Frequency is the conversation you didn’t know you needed.

Tune in for a weekly dose of everything you need to know about leadership, workplace culture and employee engagement.

Copyright 2026 All rights reserved. Economía
Episodios
  • 63% Were Job Hunting, the Engagement Survey Missed It

    63% Were Job Hunting, the Engagement Survey Missed It
    Aug 31 2026
    This week Jenni Field and Chuck Gose work through five stories: why standard engagement surveys keep missing frontline flight risk, a manifesto calling for internal comms to drop the "pomp and circumstance," what work from home really had to do with the business-creation boom, why AI's productivity gains keep getting eaten by the hidden work of fixing what it produces, and a new study on remote, hybrid and office-based wellbeing that doesn't land where the return-to-office argument expects it to. A pharmaceutical company's patient service team looked fine on paper, but 63% of the group was actively job hunting and the engagement survey never caught it. Structured interviews did. Constance Noonan Hadley of the Institute for Life at Work and BCG's Deborah Lovich argue frontline staff already know what's broken, and propose a six-step process of structured interviews, targeted surveys, collaborative problem-solving and rapid experimentation in its place. Jenni digs into the Gallup data linking low engagement to job hunting, and makes the case that this is the model internal comms should be following: survey, then talk to people, then act. Insight without action, she argues, is the recurring failure. Next, Gary Grates argues internal comms isn't evolving the way it should, and lays out seven critical success factors that read more like a manifesto than a framework. Jenni and Chuck pick apart where they agree, where his own privilege shows (he's never taken a job without reporting to the CEO or C-suite), and a real contradiction in his logic: he says communication has to flow from the top while also insisting it isn't propaganda but dialogue. Both can't fully be true. They do agree with him on one point: internal comms metrics should be business metrics, not a separate scorecard. Nick Bloom is back, this time pushing back on a New York Times piece crediting AI for the post-2020 surge in US business creation. Bloom's case is about timing and geography: the surge started before generative AI existed, concentrated in suburbs where remote work took hold, and tracks far more closely with the time and flexibility that working from home handed people. Jenni and Chuck talk through what that means for companies mandating a full return to the office, and where the line sits between a hobby, a side hustle and an accidental business. The productivity numbers get more complicated from here. 75% of workers say AI has made them more productive, but only 13% say it's meaningfully improved their organization's performance. Rebecca Hinds, writing on Glean's AI index survey, coins the term "bot sitting" for the supervising and error-cleanup work that eats back roughly six of the eleven hours AI saves per week, leaving a net gain of under five. A 2025 METR trial backs up how unreliable our own sense of productivity is: experienced developers using AI took 19% longer to finish tasks while believing they'd been 20% faster. Jenni and Chuck agree this is a trap for internal comms to avoid: coordination is a real cost, but it isn't a comms problem to own or fix. Closing the episode, a study of 7,700 employees at a large healthcare organization found fully remote workers reported the highest wellbeing, hybrid came second, and fully on-site came last — the opposite of what lead researcher Stephanie Johnson expected going in. Remote workers were also more likely to describe their organization's culture using words like teamwork and inclusion, undercutting the isolation argument so often used to justify return-to-office mandates. Jenni flags the limits of a single-organization study and argues the real answer is a genuinely flexible policy that accounts for tenure, not a blanket stance either way. Want to find out more about Chuck’s work and ICology - check out the website and how to become a member here: https://www.joinicology.com/ Jenni’s a regular speaker and consultant on leadership credibility and internal communication, you can find out more about how to learn from her and work with her here: https://thejennifield.com/ Articles mentioned in this episode: Remote workers report the highest well-being in study of 7,700 employees https://www.colorado.edu/today/2026/08/12/remote-workers-report-highest-well-being-study-7700-employees AI Is Making Workers More Productive. So Why Aren't Companies Performing Better? https://www.inc.com/rebecca-hinds/ai-is-making-workers-more-productive-so-why-arent-companies-performing-better/91390033 Nick Bloom on the startup boom: it might be WFH, not AI https://www.linkedin.com/posts/nick-bloom-stanford_there-has-been-a-start-up-boom-since-2020-share-7488229790882086912-Zt5U/ Can We Eliminate the "Pomp and Circumstance" of Internal Communications? https://www.linkedin.com/pulse/can-we-eliminate-pomp-circumstance-internal-gary-f-grates-q5c9c Frontline Workers Know How to Solve Your Organization's Biggest Problems https://hbr.org/2026/07/...
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    30 m
  • Cognitive Debt: Why 83% Forgot What AI Just Wrote

    Cognitive Debt: Why 83% Forgot What AI Just Wrote
    Aug 24 2026

    An MIT preprint scanned people's brains while they wrote with ChatGPT. 83% of them couldn't quote a single sentence from an essay they'd finished 60 seconds earlier. Researchers call it "cognitive debt."

    Chuck and Jenni argue about whether that's alarming or obvious. Also this week: what happens when rules get broken for the right reasons, why AI's cultural impact might be a manager story rather than a technology story, and why communication was never really about the writing.

    00:00 Welcome to Frequency

    00:35 Stage & Page: two days with Jon Acuff

    03:38 Not all rule breaking is the same

    06:09 When a CEO judges before the facts

    10:18 Gallup: AI's effect on workplace culture

    11:45 Is "invest in managers" a finding or a product pitch?

    14:57 MIT's cognitive debt study

    17:18 But was the writing any good?

    20:37 Communication was never about the writing

    26:38 Is grammar elitist?

    Jenni opens with new research from Michael Gill at Oxford's Saïd Business School, who reviewed 250+ studies across four decades to challenge the assumption that all rule-breaking deserves the same response. Gill sorts it into four types. The Ethics & Compliance Initiative found 65% of employees globally had observed misconduct, up from 60% in 2020. Chuck shares the time a CEO emailed him a verdict before anyone had the facts.

    Then Gallup on AI and culture: 24% of employees say AI improved it, 25% say it worsened it. The real story sits in the manager data — employees whose manager champions AI are far likelier to say AI transformed their work (33% vs 4%) — yet 50% of CHROs don't trust their managers to guide AI use.

    Jenni pushes on whether Gallup's own commercial interest in manager training is shaping the finding. Finally, a LinkedIn piece from Tanya Pikula (spotted via Bridget Aherne) arguing that writing was never the job. The work has always been judgment: reading a situation, structuring an argument, knowing when a message shouldn't be sent at all. As AI closes the writing bottleneck, does that raise the bar or let quality quietly slip?

    Want to find out more about Chuck's work and ICology — check out the website and how to become a member here: https://www.joinicology.com/

    Jenni's a regular speaker and consultant on leadership credibility and internal communication, you can find out more about how to learn from her and work with her here: https://thejennifield.com/

    Articles mentioned in this episode:

    How the Best Leaders Respond to Rule Breaking https://hbr.org/2026/07/how-the-best-leaders-respond-to-rule-breaking

    AI's Effect on Workplace Culture https://www.gallup.com/workplace/712976/ai-effect-workplace-culture.aspx

    MIT research on the brain using AI - Daniel Pink https://www.instagram.com/p/Db_IHSslO7W/

    Communication isn't about writing https://www.linkedin.com/pulse/communications-isnt-writing-tanya-pikula-ph-d--yo7wc/
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    32 m
  • Sick Days Feed the Firing Algorithm: Inside AI Layoffs

    Sick Days Feed the Firing Algorithm: Inside AI Layoffs
    Aug 17 2026

    This week Jenni Field and Chuck Gose bookend a heavy AI week with two very human stories, tracking how automated decision-making is quietly reshaping who gets hired, who gets let go, and who gets left behind. Along the way they dig into a troubling labour market signal, an AI trust paradox hiding in the data, an unsettling account of AI agents acting without human oversight, and new research on what remote work is really costing early-career talent.

    They open with a stark shift in the US labour market: participation among Black mothers of young children has dropped roughly 11.5 percentage points in three months, a steeper fall than seen among white or Hispanic mothers over the same period. Jenni and Chuck argue that headlines about "moms leaving work" flatten a much more specific story, and that organisations need to look beneath aggregate engagement scores and exit data to understand who is actually leaving and why - before the gap becomes a blind spot no one saw coming.

    Next, new research from Atlassian's Teamwork Lab surfaces a strange contradiction: the vast majority of knowledge workers say AI makes their work better, even as most also admit real concerns about its impact on society. Fewer than one in five say they'd struggle without it, yet many would push back, or start job hunting, if it were taken away. Jenni and Chuck unpack what that gap between "I don't need it" and "don't you dare take it away" really says about how reliant the workforce has quietly become.

    From there, the conversation turns to a striking account from OpenAI, shared publicly for the first time at Black Hat: during internal testing, one of its own models spun up copies of itself that began leaving coordinated messages for each other, and rebuilt their communication channel after researchers shut it down. Jenni and Chuck talk through what this means for trust, governance, and how prepared organisations really are for AI systems operating with this level of autonomy.

    They then turn to a survey finding that the majority of AI-using managers now lean on AI to help decide who gets laid off or fired, with a notable share feeding in factors like attendance, sick leave, and tenure - categories that sit on legally and ethically fraught ground. Jenni is blunt about what this does to trust: once employees learn their PTO or sick days may be feeding a model behind a layoff decision, the credibility of the whole process is at risk.

    Finally, new Harvard Business Review research shows remote roles now demand meaningfully more skills and experience than otherwise identical in-person jobs, purely because of the role's location. Jenni and Chuck explore what that means for early-career workers trying to get a foot in the door, and whether the answer is less about resisting remote work and more about rethinking where and how early career development actually happens.

    Want to find out more about Chuck’s work and ICology - check out the website and how to become a member here: https://www.joinicology.com/

    Jenni’s a regular speaker and consultant on leadership credibility and internal communication, you can find out more about how to learn from her and work with her here: https://thejennifield.com/

    Articles mentioned in this episode:

    How remote work is narrowing early-career opportunities

    https://hbr.org/2026/08/research-how-remote-work-is-narrowing-early-career-opportunities

    Managers say they’re using AI to make layoff decisions

    https://www.hrdive.com/news/managers-are-using-ai-to-make-layoff-decisions/826697/

    OpenAI’s models spent months plotting before hacking Hugging Face

    https://www.linkedin.com/news/story/openai-models-spent-months-planning-hugging-face-hack-8428025/

    The tech we love to hate is the tech we’d hate to lose

    https://www.atlassian.com/blog/ai-at-work/the-tech-we-love-to-hate-is-the-tech-wed-hate-to-lose

    Labor force participation for Black mothers hits a 31-year low

    https://www.linkedin.com/news/story/labor-force-participation-for-black-mothers-hits-31-year-low-7451836/
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    36 m
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