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The Artificial Intelligence Show

Paul Roetzer and Mike Kaput
The Artificial Intelligence Show
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  • #154: AI Answers: The Future of AI Agents at Work, Building an AI Roadmap, Choosing the Right Tools, & Responsible AI Use
    In this episode of AI Answers, Paul Roetzer and Cathy McPhillips tackle 20 of the most pressing questions from our 48th Intro to AI class—covering everything from building effective AI roadmaps and selecting the right tools, using GPTs, navigating AI ethics, understanding great prompting, and more. Access the show notes and show links here Timestamps: 00:00:00 — Intro 00:08:46 — Question #1: How do you define a “human-first” approach to AI? 00:11:33 — Question #2: What uniquely human qualities do you believe we must preserve in an AI-driven world? 00:15:55 — Question #3: Where do we currently stand with AGI—and how close are OpenAI, Anthropic, Google, and Meta to making it real? 00:17:53 — Question #4: If AI becomes smarter, faster, and more accessible to all—how do individuals or companies stand out? 00:23:17 — Question #5: Do you see a future where AI agents can collaborate like human teams?  00:28:40 — Question #6: For those working with sensitive data, when does it make sense to use a local LLM over a cloud-based one? 00:30:50 — Question #7: What’s the difference between ChatGPT Projects and Custom GPTs? 00:32:36 — Question #8:  If an agency or consultant is managing dozens of GPTs, what are your best tips for organizing workflows, versioning, and staying sane at scale? 00:36:12 — Question #9: How do you personally decide which AI tools to use—and do you see a winner emerging? 00:38:53 — Question #10: What tools or platforms in the agent space are actually ready for production today? 00:43:10 — Question #11: For companies just getting started, how do you recommend they identify the right pain points and build their AI roadmap? 00:45:34 — Question #12: What AI tools do you believe deliver the most value to marketing leaders right now? 00:46:20 — Question #13: How is AI forcing agencies and consultants to rethink their models, especially with rising efficiency and lower costs? 00:51:14 — Question #14: What does great prompting actually look like? And how should employers think about evaluating that skill in job candidates? 00:54:40 — Question #15: As AI reshapes roles, does age or experience become a liability—or can being the most informed person in the room still win out? 00:56:52 — Question #16: What kind of changes should leaders expect in workplace culture as AI adoption grows? 01:00:54 — Question #17: What is ChatGPT really storing in its “memory,” and how persistent is user data across sessions? 01:02:11 — Question #18: How can businesses safely use LLMs while protecting personal or proprietary information? 01:02:55 — Question #19: Why do you think some companies still ban AI tools internally—and what will it take for those policies to shift? 01:04:13 — Question #20: If AI tools are free or low-cost, does that make us the product? Or is there a more optimistic future where creators and users both win This week’s episode is brought to you by MAICON, our 6th annual Marketing AI Conference, happening in Cleveland, Oct. 14-16. The code POD100 saves $100 on all pass types. For more information on MAICON and to register for this year’s conference, visit www.MAICON.ai. Visit our website Receive our weekly newsletter Join our community: Slack LinkedIn Twitter Instagram Facebook Looking for content and resources? Register for a free webinar Come to our next Marketing AI Conference Enroll in our AI Academy
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  • #153: OpenAI Releases o3-Pro, Disney Sues Midjourney, Altman: “Gentle Singularity” Is Here, AI and Jobs & News Sites Getting Crushed by AI Search
    ​​​​o3 Pro is here. Sam Altman thinks the singularity might be too. This week, Paul and Mike dive into OpenAI’s o3 Pro reasoning model and what makes it fundamentally different. They explore Sam Altman’s bold claim that the singularity has begun, Meta’s superintelligence ambitions, and Disney’s high-stakes lawsuit against Midjourney. They also break down search traffic freefalls, mechanized job automation, and whether GPTs or projects are better for scaling AI workflows, among other topics, in our rapid-fire section. Listen or watch below—and see below for show notes and the transcript. Show Notes: Access the show notes and show links here Timestamps:  00:00:00 — Intro 00:04:54 — o3 Pro 00:18:33 — Disney Sues Midjourney 00:28:53 — The Singularity Is Nearer 00:50:14 — AI and Jobs: Saying the Quiet Part Out Loud 00:56:27 — OpenAI and Google Deal 00:58:46 — AI and Google Search 01:02:38 — Ohio State’s New AI Fluency Initiative 01:06:08 — xAI Data Center Environmental Scandal 01:10:58 — Kalshi’s AI-Generated NBA Finals Ad 01:15:18 — What Happens When AI Goes Down? 01:19:19 — Meta Crackdown on “Nudify” Apps 01:21:59 — Updates to GPTs, Using Projects vs. GPTs This week’s episode is brought to you by MAICON, our 6th annual Marketing AI Conference, happening in Cleveland, Oct. 14-16. The code POD100 saves $100 on all pass types. For more information on MAICON and to register for this year’s conference, visit www.MAICON.ai. This episode is also brought to you by our upcoming AI Literacy webinars. As part of the AI Literacy Project, we’re offering free resources and learning experiences to help you stay ahead. We’ve got two live sessions coming up in June—check them out here. Visit our website Receive our weekly newsletter Join our community: Slack LinkedIn Twitter Instagram Facebook Looking for content and resources? Register for a free webinar Come to our next Marketing AI Conference Enroll in our AI Academy
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  • #152: ChatGPT Connectors, AI-Human Relationships, New AI Job Data, OpenAI Court-Ordered to Keep ChatGPT Logs & WPP’s Large Marketing Model
    What happens when AI feels too human? This week, Paul and Mike unpack OpenAI’s newest releases, the growing emotional bonds people are forming with AI, and fresh data on how AI is reshaping jobs—for better and worse.  They also reexamine AGI timelines, AI cybersecurity, and why verifying AI output might be the next big challenge. Plus: Reddit sues Anthropic, Google drops expert AI avatars, and more. Show Notes: Access the show notes and show links here Timestamps:  00:00:00 — Intro 00:04:16 — ChatGPT Connectors, Record Mode, and Other Updates 00:18:16 — AI-Human Relationships 00:30:00 — AI Continues to Impact Jobs 00:42:11 — OpenAI Court Ordered to Preserve All ChatGPT User Logs 00:46:41 — AI Cybersecurity 00:52:05 — The AI Verification Gap 00:58:19 — How Does Claude 4 Think? 01:02:55 — New AGI Timelines 01:10:50 — Reddit v. Anthropic 01:13:25 — Sharing in NotebookLM 01:16:51 — WPP Open Intelligence 01:20:30 — Google Portraits This week’s episode is brought to you by MAICON, our 6th annual Marketing AI Conference, happening in Cleveland, Oct. 14-16. The code POD100 saves $100 on all pass types. For more information on MAICON and to register for this year’s conference, visit www.MAICON.ai. This episode is also brought to you by our upcoming AI Literacy webinars. As part of the AI Literacy Project, we’re offering free resources and learning experiences to help you stay ahead. We’ve got two live sessions coming up in June—check them out here. Visit our website Receive our weekly newsletter Join our community: Slack LinkedIn Twitter Instagram Facebook Looking for content and resources? Register for a free webinar Come to our next Marketing AI Conference Enroll in our AI Academy
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  • #151: Anthropic CEO: AI Will Destroy 50% of Entry-Level Jobs, Veo 3’s Scary Lifelike Videos, Meta Aims to Fully Automate Ads & Perplexity’s Burning Cash
    Anthropic’s CEO says AI could wipe out half of all entry-level white-collar jobs—and people are finally paying attention. We unpack why this moment feels like a tipping point, look at new data that backs it up, and talk about what needs to happen next. Plus: Meta’s AI shake-up, Miami schools go all-in on Gemini, the rise of grief bots, and AI videos that mess with your mind. Show Notes: Access the show notes and show links here Timestamps:  00:00:00 — Intro 00:04:41 — Anthropic CEO: AI Could Wipe Out Half of Entry-Level White Collar Jobs 00:15:33 — How Seriously Should We Take Job Loss Warnings? 00:32:34 — We’re Not Prepared for Synthetic Content 00:39:52 — Prompt Theory 00:43:45 — Meta’s AI Restructuring 00:47:44 — Meta Plans to Automate Ads 00:50:32 — Third-Largest US School District Adopts AI 00:54:23 — Perplexity’s Financials 00:57:53 — Box State of AI Report 01:02:35 — Can AI Help Us Cope with Death? 01:08:59 — AI That Improves Itself This episode is brought to you by the AI for B2B Marketers Summit. Join us on Thursday, June 5th at 12 PM ET, and learn real-world strategies on how to use AI to grow better, create smarter content, build stronger customer relationships, and much more. Thanks to our sponsors, there’s even a free ticket option. See the full lineup and register now at www.b2bsummit.ai. Curious how AI is changing the future of work? Join SmarterX for a free, live webinar on June 25th — it’s called AI Deep Dive: Google Gemini Deep Research for Beginners.  You’ll see a live demo of Google’s stunning Deep Research capabilities in action, learn how AI can supercharge your work, and walk away with real insights. It’s perfect for beginners and professionals alike. Register now here at this link! Visit our website Receive our weekly newsletter Join our community: Slack LinkedIn Twitter Instagram Facebook Looking for content and resources? Register for a free webinar Come to our next Marketing AI Conference Enroll in our AI Academy
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  • #150: AI Answers - AI Roadmaps, Which Tools to Use, Making the Case for AI, Training, and Building GPTs
    Welcome to Episode 150 of The Artificial Intelligence Show—a special milestone that marks the launch of a brand-new series: AI Answers. In this episode, Paul Roetzer is joined by Cathy McPhillips to debut a fresh format designed to systematically answer the best questions we get during our live AI education sessions. Over the past few years, our free Intro to AI and Scaling AI classes have attracted more than 32,000 learners—and they’ve asked hundreds of smart, tough, practical questions. This new series tackles them head-on. Access the show notes and show links here Timestamps: 00:00:00 — Intro 00:08:32 — Question #1: How do you explain AI as a tool for transformation to someone who’s unfamiliar or maybe even a little afraid? 00:10:44 — Question #2: Do you see learning to use AI effectively as the modern version of learning to type?  00:13:03 — Question #3: How realistic is it to create an actual AI roadmap?  00:16:29 — Question #4: Once you build a roadmap, should it be shared with the entire team?  00:18:48 — Question #5: Is it better to invest in ChatGPT or Microsoft CoPilot? 00:20:22 — Question #6: How do you make the case to leadership that a paid license to ChatGPT is worth it? 00:22:03 — Question #7:  I’m using multiple AI tools—but each one only does a few things well, and the costs are adding up. How do I better train and support my agents so the company becomes more AI-forward without overwhelming them? 00:25:49 — Question #8: In two years, how many GenAI platforms do you think will dominate the enterprise landscape? 00:27:40 — Question #9: Do you have any thoughts or concerns around using open-source LLMs in the enterprise AI stack? 00:30:39 — Question #10: How involved should the CEO be with an AI council? What kind of role makes the most impact? 00:33:25 — Question #11: Once you have an AI policy, where should you begin to use it to educate your team? 00:35:28 — Question #12: What’s a solid KPI to track AI literacy or adoption? 00:38:42 — Question #13:  If you were building MAII from scratch, with what you know now—what would you do differently? 00:41:19 — Question #14: How do you actually bridge the gap between current capabilities and future roles? What’s the smart move for career future-proofing? 00:49:15 — Question #15: What courses should kids in school be thinking about if they want to be prepared for an AI-infused world? 00:53:20 — Question #16: What are three things you’d suggest for helping teenagers use AI to accelerate learning, without just relying on it to do the work for them? 00:56:07 — Question #17: Is it better to create a specific GPT for each job task, or one mega-GPT that does content, strategy, internal reports, sales writing—all of it? 00:59:09 — Question #18: What do you think AI will do to the search marketing industry, especially paid search?  00:07:08 — Question #19: What excites you about AI? This episode is brought to you by the AI for B2B Marketers Summit. Join us on Thursday, June 5th at 12 PM ET, and learn real-world strategies on how to use AI to grow better, create smarter content, build stronger customer relationships, and much more. Thanks to our sponsors, there’s even a free ticket option. See the full lineup and register now at www.b2bsummit.ai. Visit our website Receive our weekly newsletter Join our community: Slack LinkedIn Twitter Instagram Facebook Looking for content and resources? Register for a free webinar Come to our next Marketing AI Conference Enroll in our AI Academy
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About The Artificial Intelligence Show

The Artificial Intelligence Show (formerly The Marketing AI Show) is the podcast that helps your business grow smarter by making AI approachable and actionable. The AI Show podcast is brought to you by the creators of the Marketing AI Institute, AI Academy for Marketers, and the Marketing AI Conference (MAICON). Hosts Paul Roetzer, founder and CEO of Marketing AI Institute, and Mike Kaput, Chief Content Officer, break down all the AI news that matters and give you insights and perspectives that you can use to advance your company and your career. Join Paul and Mike on The AI Show as they work to accelerate AI literacy for all.
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