Talk To Me Petey D

Petey D

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Management
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People Management. Leadership. Productivity.

5d ago

Finding Meaning at Work during Challenging Times

Are you struggling to find meaning at work in a world of layoffs, AI disruption, and constant change? In this episode of Talk To Me Petey D (TTMPD), I explore one of the most important drivers of professional fulfillment: meaning. When work feels connected to purpose, we experience greater satisfaction, resilience, and well-being. The same challenge that feels exhausting when disconnected from purpose can feel energizing when it serves something that matters to us. Drawing on insights from Viktor Frankl's Man's Search for Meaning and my own professional experiences, I discuss practical ways to reconnect with meaning—even when your job, organization, or industry feels uncertain. In this episode: ✅ Why work feels different for many knowledge workers today ✅ The relationship between meaning, stress, and satisfaction ✅ Lessons from Viktor Frankl on finding purpose in difficult circumstances ✅ Four key sources of meaning at work: ConnectionGrowthLegacyRecognition✅ Practical strategies for creating meaning when it feels absent ✅ Why meaning doesn't have to come exclusively from your day job ✅ How to build resilience during periods of career uncertainty and change Whether you're navigating AI-driven disruption, organizational change, burnout, or simply questioning what matters most in your career, this episode offers actionable ideas to help you reconnect with purpose. Meaning isn't something we merely discover. Often, it's something we intentionally create.
Jul 14

Ep. 61: Performative Productivity and AI

AI is often marketed as the ultimate productivity booster—but is more activity really the same thing as more value? In this episode of Talk to Me PD, we explore the difference between real productivity and performative productivity in the age of AI. Drawing on concepts from economics, knowledge work, and organizational behavior, he examines why the metrics we choose to measure can dramatically influence how people work. Topics include: ✅ What productivity actually means ✅ Why measuring knowledge work is harder than measuring factory work ✅ The rise of proxy metrics like emails, meetings, chats, and tool usage ✅ How AI can amplify visible activity without increasing meaningful output ✅ Token maxing and AI usage incentives ✅ The risks of workplace surveillance and activity tracking ✅ Why organizations must align AI metrics with business outcomes ✅ How knowledge workers can focus on impact instead of appearances Whether you're a leader, knowledge worker, technologist, or AI enthusiast, this episode offers a thoughtful perspective on how organizations should evaluate productivity in a world increasingly shaped by artificial intelligence. 🎙️ Talk to Me PD is the podcast where we discuss knowledge work, technology, leadership, AI, and society. 👍 Like, subscribe, and share if you enjoy the conversation. 📩 Don't forget to subscribe to the newsletter and follow Peter Dempsey across social platforms for more insights on AI, productivity, and the future of work. #AI #Productivity #KnowledgeWork #FutureOfWork #Leadership #ArtificialIntelligence Connect With Me 📖 Book: People Management: Ground Up for Aspiring Leaders https://www.amazon.com/People-Management-Ground-Up-Aspiring/dp/B0DBGQ57XT 💼 LinkedIn: Pete Dempsey https://www.linkedin.com/in/pete-dempsey/ 🤖 Course: Partnering with AI Agents for Business Success https://www.linkedin.com/learning/partnering-with-ai-agents-for-business-success-by-pearson/ 🌐 Website: PeterDempseyWrites.com https://peterdempseywrites.com/ 📰 Newsletter: Subscribe Here https://peterdempseywrites.com/newsletter/ 🦋 Bluesky: Follow on Bluesky https://bsky.app/profile/petedempsey.bsky.social 📺 YouTube: Talk To Me Petey D http://www.youtube.com/@TalkToMePeteyD 🍎 Apple Podcasts: Listen on Apple Podcasts https://podcasts.apple.com/us/podcast/talk-to-me-petey-d/id1745885025 🎧 Spotify: Listen on Spotify https://open.spotify.com/show/4NrlsWzansuCfuApMCZzj0
Jun 30

Ep. 60: What if AI is too Expensive?

What happens if AI turns out to be more expensive than we think? For years, large language models (LLMs) have been treated like low-cost cloud services. But what if today's pricing is heavily subsidized? What happens when AI costs rise and organizations are forced to rethink their strategies? In this episode of Talk To Me Petey D, I explore 10 predictions for a future where AI and LLM inference becomes significantly more expensive, including: ✅ Moving from frontier models to lower-cost alternatives ✅ Shifting from RAG (Retrieval Augmented Generation) to fine-tuned smaller models ✅ Increased use of model routing and intelligent cost controls ✅ A return to traditional software and "good old-fashioned AI" ✅ Better AI harnesses and domain-specific architectures ✅ Edge AI and on-device inference ✅ More human-in-the-loop systems instead of autonomous agents ✅ Greater budget governance and AI spending controls ✅ Increased focus on AI ROI and business outcomes ✅ Re-evaluating automation projects as costs change I also discuss why the economics of AI may be fundamentally different from traditional software and cloud computing, including the concept of rival vs. non-rival goods, and why GPU-intensive AI services may not scale economically in the way many assume. Whether you're a business leader, technologist, policymaker, or AI enthusiast, this episode offers a practical framework for thinking about the future economics of artificial intelligence. Connect With Me 📖 Book: People Management: Ground Up for Aspiring Leaders 💼 LinkedIn: Pete Dempsey 🤖 Course: Partnering with AI Agents for Business Success 🌐 Website: PeterDempseyWrites.com 📰 Newsletter: Subscribe Here 🦋 Bluesky: Follow on Bluesky 📺 YouTube: Talk To Me Petey D 🍎 Apple Podcasts: Listen on Apple Podcasts 🎧 Spotify: Listen on Spotify
Jun 15

Ep. 59 Can AI Solve FOMO?

Knowledge workers—especially people managers—feel constant pressure to stay on top of everything happening across their teams, companies, and industries. AI promises a solution: summarize everything, surface what matters, and eliminate the fear of missing out (FOMO). But does it actually work? In this episode of Talk To Me Petey D, we break down the reality: Why AI can’t solve the “infinite buffer” problem How frictionless tech (like email and AI) actually increases information overload The real limit: human cognitive capacity Where AI does help (better organization, search, and reducing context switching) The hidden risks around privacy, behavior change, and over-recording conversations Most importantly: Why embracing JOMO (the Joy of Missing Out) might be the real productivity strategy for leaders. If you’re a manager, knowledge worker, or anyone trying to keep up in the AI era—this one is for you. 👉 Key Takeaway: AI can help you organize and retrieve information—but it can’t decide what matters. Prioritization is still your job. 📌 Check out more: Book: https://www.amazon.com/People-Management-Ground-Up-Aspiring/dp/B0DBGQ57XT LinkedIn: https://www.linkedin.com/in/pete-dempsey/ Partnering with AI Agents for Business Success: https://www.linkedin.com/learning/partnering-with-ai-agents-for-business-success-by-pearson/ Website: https://peterdempseywrites.com/ Newsletter: https://peterdempseywrites.com/newsletter/ Bluesky: https://bsky.app/profile/petedempsey.bsky.social YouTube: http://www.youtube.com/@TalkToMePeteyD Apple Podcast: https://podcasts.apple.com/us/podcast/talk-to-me-petey-d/id1745885025 Spotify: https://open.spotify.com/show/4NrlsWzansuCfuApMCZzj0 👍 Like, subscribe, and share if this resonates.
May 27

Ep. 58: Six Principles of Responsible AI

What does “Responsible AI” actually mean—and why does it matter for builders, leaders, and users of AI systems? In Episode 58 of Talk To Me Petey D, we break down the six core principles of Responsible AI and explore how they apply across the full lifecycle of AI systems—from design and development to deployment and ongoing operations. Responsible AI isn’t just theory—it’s an industry best practice and a critical framework for balancing innovation with ethics, risk, and real-world impact. 🔍 In this episode: What Responsible AI really means (and why definitions vary)Why AI systems need guardrails—not just rulesThe tradeoffs between minimizing harm vs. eliminating itHow Responsible AI functions as both an ethical framework and a business risk strategyThe importance of ongoing monitoring and operational accountability🧭 The Six Principles of Responsible AI: Fairness – Defining and measuring equitable outcomesReliability & Safety – Ensuring systems perform as expected—even under edge casesPrivacy & Security – Protecting valuable and sensitive dataInclusiveness – Designing for diverse users and real-world scenariosTransparency – Understanding how and why decisions are madeAccountability – Humans ultimately own the outcomesWhether you’re building AI systems or just trying to better understand how they shape the world, this episode will give you a clear, practical foundation for thinking about Responsible AI. 🔗 Connect with me: 📘 Book: https://www.amazon.com/People-Management-Ground-Up-Aspiring/dp/B0DBGQ57XT💼 LinkedIn: https://www.linkedin.com/in/pete-dempsey/🌐 Website: https://peterdempseywrites.com/📰 Newsletter: https://peterdempseywrites.com/newsletter/🦋 Bluesky: https://bsky.app/profile/petedempsey.bsky.social🎧 Listen to the podcast: ▶️ YouTube: http://www.youtube.com/@TalkToMePeteyD🍎 Apple Podcasts: https://podcasts.apple.com/us/podcast/talk-to-me-petey-d/id1745885025🎧 Spotify: https://open.spotify.com/show/4NrlsWzansuCfuApMCZzj0👍 If you enjoyed the episode, like, subscribe, and share it with others interested in AI, leadership, and the future of knowledge work.
May 19

Ep. 57: AI Datacenters Explained

AI data centers are at the center of today’s technology boom — but what are they, really? In this episode of Talk To Me Petey D, I break down the fundamentals of AI data centers in plain language: what they are, how they work, why companies are spending hundreds of billions of dollars building them, and what it all means for jobs, the economy, and local communities. We go beyond the headlines and look at: The difference between traditional data centers and AI data centers Why GPUs changed everything How cloud economics drive massive infrastructure investment The real-world tradeoffs: energy use, water consumption, and environmental impact Why communities are pushing back on new data center projects If you’ve ever wondered what’s actually powering AI systems like ChatGPT—or why these facilities are showing up in neighborhoods across the country—this episode gives you the full picture. This is part of the AI Literacy Series, where I break down the concepts shaping our world in a way that’s practical and accessible. 🔗 Follow & Connect 📘 Book: https://www.amazon.com/People-Management-Ground-Up-Aspiring/dp/B0DBGQ57XT💼 LinkedIn: https://www.linkedin.com/in/pete-dempsey/🌐 Website: https://peterdempseywrites.com/📰 Newsletter: https://peterdempseywrites.com/newsletter/🦋 Bluesky: https://bsky.app/profile/petedempsey.bsky.social▶️ YouTube: http://www.youtube.com/@TalkToMePeteyD🍎 Apple Podcasts: https://podcasts.apple.com/us/podcast/talk-to-me-petey-d/id1745885025🎧 Spotify: https://open.spotify.com/show/4NrlsWzansuCfuApMCZzj0
May 12

Ep. 56: AI Literacy – Mental Health

Can AI really replace a human therapist? In this episode of Talk To Me Petey D, we continue the AI Literacy series by digging into one of the most sensitive and high‑stakes domains for artificial intelligence: mental health. We look back at ELIZA, the earliest AI “therapist” from the 1960s, and trace how its lessons still apply to modern large language models like ChatGPT. While today’s systems are far more powerful, many of the same human behaviors—and risks—remain. In this episode, we explore: Why people project understanding onto AI systemsWhat ELIZA teaches us about human‑AI interactionThe dangers of non‑deterministic, probabilistic responses in mental health contextsWhy many AI mental health tools are labeled “wellness” or “entertainment” appsWhere AI can be helpful (information, routines, planning)Where AI should not replace human careEthical concerns around safety, accountability, and data privacyThis episode is about using AI responsibly, especially when human well‑being is on the line. 🎧 Listen, reflect, and build stronger AI literacy—because not everything that’s possible is ethical. 🔗 Links & Resources 📘 Book: https://www.amazon.com/People-Management-Ground-Up-Aspiring/dp/B0DBGQ57XT 💼 LinkedIn: https://www.linkedin.com/in/pete-dempsey/ 🌐 Website: https://peterdempseywrites.com/ ✉️ Newsletter: https://peterdempseywrites.com/newsletter/ 🦋 Bluesky: https://bsky.app/profile/petedempsey.bsky.social ▶️ YouTube: http://www.youtube.com/@TalkToMePeteyD 🍎 Apple Podcasts: https://podcasts.apple.com/us/podcast/talk-to-me-petey-d/id1745885025 🎧 Spotify: https://open.spotify.com/show/4NrlsWzansuCfuApMCZzj0
May 4

Ep. 55: AI Literacy – Marketing

What does AI literacy really mean—and why does it start with marketing? In Episode 55 of the Talk To Me, Petey D Podcast, I kick off a new AI Literacy series by exploring how the term artificial intelligence was born, how it has been marketed since 1956, and why that history still shapes AI hype, fear, investment, and policy decisions today. AI literacy isn’t just about learning how models work. It’s about understanding: How AI claims are framed and marketedWho benefits from bold AI promisesWhy hype and “AI doom” narratives often reinforce each otherHow marketing influences funding, media coverage, and public perceptionWhy society has agency in shaping AI’s future🧠 Key takeaway: When someone makes a bold promise about AI, always ask: who benefits from this claim? 📚 Book People Management from the Ground Up 👉 https://www.amazon.com/People-Management-Ground-Up-Aspiring/dp/B0DBGQ57XT 🎧 Listen to the Podcast Apple Podcasts: https://podcasts.apple.com/us/podcast/talk-to-me-petey-d/id1745885025Spotify: https://open.spotify.com/show/4NrlsWzansuCfuApMCZzj0YouTube Channel: http://www.youtube.com/@TalkToMePeteyD🌐 Connect & Follow Website: https://peterdempseywrites.com/Newsletter: https://peterdempseywrites.com/newsletter/LinkedIn: https://www.linkedin.com/in/pete-dempsey/Bluesky: https://bsky.app/profile/petedempsey.bsky.social👍 If you found this useful, like and subscribe. 💬 Drop a comment with AI topics you’d like covered next in the AI Literacy series.

People Management. Leadership. Productivity.

Creator

Petey D
Years Active

2024 - 2026
Episodes

41
Rating

Clean
Copyright

© 2026 Talk To Me Petey D
Show Website

Talk To Me Petey D

Technology

Technology

Updated Apr 17