AI After 50 - Episode #5 - Developing an AI Mindset

AI After 50 - Episode #9 - AI Leadership: 3 Skills That Will Set You Apart

AI After 50 — Episode #9 - "Three Skills That Will Set You Apart as an AI Leader" Show Notes "Three Skills That Will Set You Apart as an AI Leader" Episode Number: 9  Recorded: Saturday, March 14, 2026  Hosts: Mark Tennant & John Paganini Episode Summary: What separates a leader who talks about AI from one who actually leads it inside their organization? In Episode 9, Mark and John break down the three skills every leader needs to develop right now — starting with where John just spent the week: the HIMSS National Conference in Las Vegas, where 24,000 healthcare IT professionals gathered and AI governance, patient outcomes, and human-centered AI were the dominant themes. From the conference floor to your desk, this episode gives you the practical starting points: what to learn first, what to understand about AI capabilities, and how to move from basic use to real organizational impact. Key Takeaways: 1. AI is already in your organization — with or without a strategy. According to a 2026 AMA poll, 81% of US physicians report using AI. A Gallup poll shows nearly 50% of public sector employees use it regularly. Your people are using these tools now. The question is whether leadership is guiding that or not. 2. AI literacy is the foundation — but fluency is the goal. Understanding how to use a tool is the mechanics. Knowing how AI can support human judgment and act as a thought partner is where the real value lives. 3. Most people dramatically underestimate what these models can do. The capabilities have advanced far beyond writing emails. Deep research, agentic workflows, multi-step automation — leaders who understand this have a real competitive edge. 4. The human in the loop is non-negotiable. From the HIMSS conference floor to your boardroom: the message resonating across industries is that AI amplifies human judgment — it does not replace it. The Three Skills: Skill 1 — AI Literacy: Make It Priority Number One Start here. Understand what AI can do at a foundational level. Host lunch-and-learns. Identify your internal AI champions. Give people tools — and the training to go with them. Organizations that deploy tools without training find no value. Literacy across the organization, led from the top, is the foundation everything else is built on. Skill 2 — Understand What These Models Are Actually Capable Of Most people think AI is a glorified Google search or an email writing tool. It is far more than that. Large language models (ChatGPT, Claude, Gemini, Perplexity) can conduct deep research, build workflows, analyze complex documents, and increasingly — through agentic AI — manage multi-step processes in the background without constant human direction. Leaders who understand the real capability landscape make better decisions about where and how to deploy AI. Skill 3 — Advanced AI Literacy: Use Cases and What's Worked Once you understand the basics, start mapping AI capabilities to real business problems. Onboarding. Training. Sales and marketing. Operations. Find out what's worked in other organizations and apply it to yours. Move beyond random prompts toward intentional, structured use. This is where AI literacy becomes organizational value. From the HIMSS Conference — John's Highlights * 160,000 global HIMSS members; approximately 24,000 attended the conference with hundreds of vendors * AI governance, patient outcomes, and ethical AI were dominant themes * Strong consensus: AI must have a human in the loop at all stages — especially in clinical settings * "This is the year of the patient" — patients now have direct access to AI tools to monitor and manage their own health, with smart devices feeding real-time data into clinical conversations * 81% of US physicians are now using AI (2026 AMA Physician Survey on Augmented Intelligence) — primarily for note summarization, medical research, discharge instructions, billing codes, and chart documentation Tool Spotlight: NotebookLM Google's NotebookLM was discussed as a standout tool for organizing and synthesizing conference materials. Key points: * Free to use at notebooklm.google.com — full access included with Google Workspace accounts * You feed it your own documents, PDFs, and research; it answers questions and creates outputs only from those sources * Reduces hallucination significantly because it works from what you give it * Outputs include: summaries, podcasts, mind maps, infographics, PowerPoint slides, and (new) video * As AI models improve over time, NotebookLM improves with them — your existing projects become more powerful automatically John's use case from HIMSS: Fed conference session PDFs into NotebookLM, then used it to summarize, organize, and synthesize five days of content into usable insights. Your One Move This Week Pick one AI platform. ChatGPT, Google Gemini, Perplexity, or Claude and commit to it for six weeks. Pay for the full version ($20/month). Use it every day. Break it. Build with it. Make it part of your daily workflow. That firsthand experience is what turns AI literacy into AI fluency, and it's what makes you credible when you bring it into your organization. Coming Up Next Episode #10: Which AI platform is right for your organization? Mark and John will highlight the major platforms, what each one does best, and how to make the right choice for your specific needs. Subscribe - Click to subscribe [https://fabulous-builder-8116.kit.com/b94e1704b3] * Standard Show Notes: In the description on your podcast platform * Premium Show Notes: Subscribe for deeper thoughts, bonus resources, and things you can reflect on as our journey together continues * New episodes every week: Mash that Subscribe button/link on your platform to be notified.... Website: AIAfter50.com [http://aiafter50.com/] ⚠️ HUMAN IN THE LOOP: Reviewed for accuracy before publishing. AI After 50 | Episode 9 | Show Notes | March 2026

AI After 50 – Episode #7 - A Shift for AI After 50: The Leadership Pivot

🎙️ AI After 50 – Episode #8 A Shift for AI After 50: The Leadership Pivot 📅 Recorded: February 20, 2026 👤 Hosts: Mark Tennant & John Paganini ⏱️ Duration: ~20 Minutes 🔄 The Relaunch: Same Name. New Mission. AI After 50 is officially evolving. What started as a podcast teaching AI basics has transformed into something far more powerful: 🎯 A weekly leadership briefing on AI for experienced professionals. This episode marks the pivot — away from beginner prompting tips and toward helping leaders over 50 strategically leverage AI to sharpen decision-making, compress timelines, and amplify decades of hard-earned judgment. If you're in leadership, management, or have built deep expertise over 20+ years, this show is now built for you. 🧠 Why This Shift Matters 📊 The Leadership Gap Recent research from McKinsey & Company reveals: * 68% of executives feel unprepared for AI integration * Only 26% of workers aged 55–64 report extensive AI familiarity (lowest of any age group) * Organizations where senior leaders actively champion AI outperform peers by 3x 🔗 McKinsey Insights: * Superagency in the Workplace * Millennials Are Gen AI Enthusiasts This isn’t about intelligence. It’s about who the conversation is speaking to. That changes now. 🚨 The Tipping Point AI entrepreneur Matt Shumer published a viral article titled: 👉 Something Big Is Happening Viewed 84+ million times on X/Twitter alone, the message was clear: AI capabilities have accelerated overnight. Most leaders are not ready. But you're not too late. 🎧 Audio Overview available via NotebookLM (link in show notes) The comparison? AI’s moment feels like early 2020 before COVID fully hit. Quiet. Underestimated. Then suddenly… transformational. 👥 Who We Are (And Why You Should Listen) We don’t just talk about AI. We build with it. Between us: * Training global healthcare teams in applied AI * Developing compliance AI tools (including an Ohio Senate Bill 1 checker) * Building AI-powered applications with Google AI Studio and Claude Code * Creating real-world business automation tools in days — not months 🚗 Example: Autovision Garage

AI After 50 - Episode #6 - AI Literacy for Everybody Over 50 (We're Back!)

🎙️ AI After 50 – Episode #6: Getting Practical with AI & Staying Ahead After 50 Hosts: Mark Tennant & John Paganini Release Date: December 2, 2025 Length: 19:00 minutes Theme: AI literacy, tools, prompting, and staying relevant over 50 🎯 Episode Summary Welcome back to AI After 50! In this episode, host Mark Tennant is joined for the first time by his business partner and co-host, John Paganini, an AI-in-healthcare expert. Together, they set the stage for what’s to come in the series—a weekly, practical deep-dive into AI for professionals 50 and over who want to remain relevant, confident, and employable in a rapidly job market.. They reflect on the goals of the podcast, their journey with AI, and share tips on AI tools, prompting techniques, and why now is the best time to get started.  From ChatGPT’s 3rd birthday to the newest updates with Google’s Gemini 3 and Nano Banana, Mark & John focus on what really matters for late-career professionals. 🗂️ Chapters * Welcome & Mission of AI After 50 * Meet John Paganini & His AI Focus in Healthcare * Why AI is for Every Industry, Not Just Tech * What Listeners Can Expect Each Week * The Importance of Feedback from the Audience * Cutting Through the AI Hype: Real Tools, Real Use Cases * Mark & John’s First Encounters with ChatGPT * Why the $20/Month for GPT is Still Worth It * Exploring Google’s Gemini 3 & Nano Banana * How Nano Banana Can Help Prototype Ideas * Prompting Tips: How to Get Better Outputs * Final Thoughts: Stick With It, Learn as You Go * What’s Coming Next + Premium Show Notes Info 💡 Key Takeaways * AI isn’t going away—it’s time to learn it. Whether you’re in healthcare, finance, or manufacturing, AI is reshaping every field. * Prompting is a skill. You don’t have to be a great writer—AI can help you write better prompts. * Gemini 3 and Nano Banana are worth exploring, especially for visual prototyping and idea development. * Stick with one AI tool at first and get familiar with how it works—you’ll build confidence faster. * AI is not just for coders. The goal is AI literacy, not expertise. 🔗 Mentions & Resources * ChatGPT (OpenAI) – https://chat.openai.com [https://chat.openai.com] * Gemini by Google – https://gemini.google.com [https://gemini.google.com] * Nano Banana (Google AI Image Generator) – Available via Gemini * Google AI Studio – Great for coding & AI development projects- https://aistudio.google.com/ [https://aistudio.google.com/] 📬 Get the Premium Show Notes! Want more in-depth prompts, examples, and bonus content? 🎁 Subscribe to our Premium Show Notes [https://bit.ly/Subscribe-to-AI-After-50-Show-Notes] — delivered straight to your inbox. 👉 Why not subscribe now?! https://bit.ly/Subscribe-to-AI-After-50-Show-Notes [https://bit.ly/Subscribe-to-AI-After-50-Show-Notes] 👥 Connect with Us * YouTube Channel: https://www.youtube.com/@aiafter50 [https://www.youtube.com/@aiafter50] * Email: Mark: mark@marktennant.net [mark@marktennant.net] // John: jpaganini@paguar.com [jpaganini@paguar.com] * Website: https://marktennant.net/ [https://marktennant.net/]

AI After 50 - Episode #5 - Developing an AI Mindset

Episode #5: Developing an AI Mindset – AI After 50 Welcome to another episode of AI After 50, the podcast for experienced professionals looking to develop their AI skill set and stay professionally indispensable. I’m Mark Tennant, and if you’re over 50, you’re in the right place to become AI-literate, AI-confident, and AI-empowered. This week, we’re expanding on our previous discussion about AI as a behavioral shift and diving into how to develop an AI mindset. Embracing AI isn’t about mastering technical skills—it’s about making AI an everyday thinking partner. From keeping ChatGPT open at all times to using AI for deeper insights into personal growth, work efficiency, and decision-making, we’ll explore how to shift your mindset to work with AI instead of just using it as a tool.  Plus, I bring back Sol, my ChatGPT Advanced Voice Mode assistant, to discuss how AI can help us become smarter together. Stay tuned for practical strategies, a weekly AI exercise, and key takeaways to help you integrate AI seamlessly into your routine. 🎯 KEY TAKEAWAYS * AI should be treated as a conversational partner rather than just a machine * Having AI open and ready at all times helps develop new work habits * Verify AI information before trusting it - the human element remains crucial * AI complements human skills like judgment and empathy while handling repetitive tasks 📝 EPISODE BREAKDOWN * 00:00 Introduction to AI After 50 00:28 Developing an AI Mindset 00:42 Premium Show Notes and Subscription 01:11 Recap of Episode #4 02:03 Expanding the Behavioral Shift 02:24 Using AI in Daily Life 03:51 Warnings and Human Element 04:22 ChatGPT's Role and Features 06:47 Conversation with Sol on AI Mindset 14:44 Exercise: AI as Your Daily Thinking Partner 17:05 Conclusion and Weekly Exercise 💡 HIGHLIGHTED QUOTES "AI isn't here to replace you, but here to work with you." "Start by staying curious and open minded. Embrace small, manageable steps." 🔍 PRACTICAL EXERCISE AI as Your Daily Thinking Partner (7-Day Challenge): Try AI as Your Daily Thinking Partner for seven days.  Pick a real-world challenge, ask AI for help, and reflect on how it improves your decision-making.  Let me know how it goes! Pick a daily decision or problem Choose something real and relevant to your life Can be work-related or personal Ask AI for help Frame your question as if talking to a trusted colleague Use either text prompting or voice mode Reflect and take action Consider new ideas sparked by AI's response Apply suggestions to your daily life Repeat for seven days * Commit to the full week * Reflect on how AI helped your decision-making ⭐ PREMIUM SHOW NOTES Take your AI learning journey to the next level! Subscribe to our Premium Show Notes for: Extended exercises and implementation strategies * Additional AI mindset development techniques * Exclusive frameworks and prompting tips * Advanced practical examples not covered in the episode Get Monday morning delivery of new episodes and Premium Show Notes - completely FREE! Subscribe using the link in the show notes.

AI After 50 - Episode #4 - AI is a Behavioral Shift, Not a Technological Shift - ChatGPT Advanced Voice

EPISODE #4: AI is a Behavioral Shift, Not a Technological Shift Is AI a technological revolution, or is it really about behavior? In this episode, we break down why adapting to AI is less about mastering the technology and more about shifting your mindset—especially for professionals over 50. I’m joined by Sol, a ChatGPT Advanced Voice,, to discuss how AI isn’t just a tool you use when you need it, but a coworker and thinking partner that should always be in your workflow. We also explore how moving beyond the traditional “Google search mindset” can help you integrate AI into both your personal and professional life. Plus, I share a real-life story about how AI saved me over $500 on a dryer repair, and we dive into practical strategies to help you build the habit of using AI daily. Stick around for this week’s exercise, where I introduce the ERA framework—another powerful prompting tool to add to your AI skill set. 🎯 KEY TAKEAWAYS • AI adoption is more about changing behaviors than learning technology  • Success comes from treating AI as a conversational partner, not just a search tool • Personal use cases help build comfort with AI before professional applications  📝 EPISODE BREAKDOWN ⏳ - 00:00 Introduction: AI as a Behavioral Shift ⏳ - 00:19 Welcome to AI After 50 ⏳ - 00:36 Podcast Goals and Show Notes ⏳ - 01:43 Recap of Previous Episode ⏳ - 02:07 Exploring New Prompt Frameworks ⏳ - 03:32 Special Guest: Sol Discusses AI Behavioral Shift ⏳ - 05:46 Practical Tips for Adapting to AI ⏳ - 07:42 Real-World AI Success Stories ⏳ - 10:28 Creating Aha Moments with AI ⏳ - 10:58 Final Thoughts and Wrap-Up ⏳ - 12:41 Weekly Prompting Exercise ⏳ - 14:05 Conclusion and Next Steps 💡 HIGHLIGHTED QUOTES "AI isn't something you have to learn, like coding - it's something you get to learn, like a new way of thinking." [35:40] "AI is a tool that works with you, not just for you.] 🔍 PRACTICAL EXERCISE The ERA Framework (Expectation, Role, Action): Expectation: Create HR policy documents for manufacturing company Role: HR policy expert Action: Create three documents: • Paid time off policy (eligibility, carryover rules, procedures) • New benefits package • Spanish translations of key HR forms ERA Framework Expectation, Role, Action Expectation: Describe the desired result. Role: Specify ChatGPT's role. Action: Specify needed actions. Example: HR Example Prompt:  You are an HR policy expert tasked with updating company policies for a midsize manufacturing company. Create three well-structured documents: (1) A clearly written Paid Time Off (PTO) Policy covering accrual, eligibility, carryover rules, and request procedures; (2) An engaging New Benefits Package Overview summarizing health, retirement, and wellness benefits in easy-to-understand language; and (3) Professional Spanish translations of key new hire forms (W-4, direct deposit authorization, emergency contact forms). Ensure all documents are clear, compliant, and accessible, using bullet points and simplified language where needed. The Spanish translations must be accurate, culturally appropriate, and suitable for Latin American employees. ⭐ PREMIUM CONTENT - Subscribe Today!  https://bit.ly/AIAfter50-Premium-Show-Notes-Subscribe  [https://bit.ly/AIAfter50-Premium-Show-Notes-Subscribe] Subscribe to get exclusive access to: • Additional prompting frameworks • Extended exercise examples • Deeper implementation guidance Subscribe here 👉 https://bit.ly/AIAfter50-Premium-Show-Notes-Subscribe [https://bit.ly/AIAfter50-Premium-Show-Notes-Subscribe] RESOURCES MENTIONED • WorkLab Podcast by Microsoft Show: Worklab with Molly Wood Guest: Conor Grennan on Moving Beyond the “Search Engine Mindset” Link: https://bit.ly/conor-grennan-worklab-podcast [https://bit.ly/conor-grennan-worklab-podcast] • ChatGPT Advanced Voice • Google Doc to Start Your Own Prompt Library (recommended)