What if the U.S. built its future on AI factories? And what if AGI shows up just in time to run them?

Join Paul and Mike as they break down the White House’s aggressive three-part Action Plan, including its call to build more data centers and ban “woke” AI. They unpack what Google's staggering token usage tells us about the pace of AI development—and how that connects to the rumored, unified GPT-5 model that could reshape everything. Then it’s rapid fire: Nvidia CEO’s advice for college students, the first AI for therapy, AI’s impact on tech jobs and more. 

Show Notes: Access the show notes and show links here

Timestamps: 

00:00:00 — Intro

00:06:23 — White House AI Action Plan

00:31:55 — How AI Could Upend the World Economy

00:39:37 — GPT-5 Rumors

00:47:52 — AI Is Impacting Tech Jobs

00:53:08 — Advice for College Students

00:59:44 — Instacart CEO About to Take Reins of Big Chunk of OpenAI

01:08:32 — The First AI for Therapy

01:12:31 — AI’s Environmental Impact

01:17:04 — AI Search Summaries Result in Fewer Clicks

01:19:45 — AI Product and Funding Updates

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 Academy 3.0 Launch Event.

Join Paul Roetzer and the SmarterX team on August 19 at 12pm ET for the launch of AI Academy 3.0 by SmarterX —your gateway to personalized AI learning for professionals and teams. Discover our new on-demand courses, live classes, certifications, and a smarter way to master AI. Register here.

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AI salaries are outpacing NBA MVPs. Grok is turning heads, and stirring controversy, as competition among top AI labs heats up.

This week, Mike and Paul unpack OpenAI’s massive update that turns ChatGPT into a full-blown digital assistant, Meta’s $200M+ AI talent raids, and the spiraling drama at Grok. They break down Microsoft’s AI-driven layoffs, AI browser competition, Apple’s quiet AI pivot, and what it really means when superintelligence becomes cheap and everywhere.

Show Notes: Access the show notes and show links here

Timestamps: 

00:00:00 — Intro

00:05:47 — ChatGPT Agent

00:14:17 — Grok 4

00:17:46 — Grok Controversy

00:32:07 — Meta Superintelligence Labs

00:35:16 — Windsurf Drama

00:37:28 — Kimi 2

00:42:35 — AI Browsers

00:47:05 — Microsoft’s Layoffs and AI

00:52:27 — More Meta Updates

00:55:53 — More OpenAI Updates

01:03:13 — Google Updates

01:07:57 — Apple Might Use Anthropic or OpenAI for Siri

01:10:59 — AI Product and Funding Updates

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 50th Intro to AI session happening on August 14.

You'll learn what AI is, why it matters, and how to find real use cases and trusted tools for your work. Go to www.marketingaiinstitute/com/intro-to-ai to register.

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AI is reshaping hiring, law, and business strategy.

Join Mike and Paul as they unpack Anthropic’s major legal win over authors suing for AI training data use, explore the tsunami of AI-generated resumes flooding recruiters, and analyze why OpenAI is now doing high-ticket consulting. They also weigh Salesforce’s claim that AI does half its work, Meta’s billion-dollar talent raids, and OpenAI’s mysterious hardware rebrand drama. 

Show Notes: Access the show notes and show links here

Timestamps: 

00:00:00 — Intro

00:05:00 — Anthropic Wins Key Lawsuit Against Authors

00:19:37 — AI’s Impact on Hiring and HR

00:31:34 — OpenAI is Now Doing Consulting

00:39:28 — OpenAI - Jony Ive Drama

00:43:08 — OpenAI’s Microsoft Office Rival

00:47:53 — Intel Outsources Marketing to Accenture and AI

00:53:31 — Salesforce CEO: 30% of Internal Work Done by AI

01:01:53 — More Meta AI Recruitment Efforts

01:07:15 — AI First Book Release

01:12:20 — AI Product and Funding Updates

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.

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Data integrity, executive skepticism, and turning AI-driven time savings into real gains—Paul Roetzer and Cathy McPhillips answer your questions from our latest Scaling AI class and offer informative, candid answers.

Show Notes: Access the show notes and show links here

Timestamps:

00:00:00 — Intro

00:04:51 — Question #1: How do we ensure data integrity, security, and privacy when we scale AI?

00:07:24 — Question #2: What exactly is an AI roadmap?

00:12:30 — Question #3: How can we maintain meaningful human oversight when AI systems operate at a speed that exceeds human comprehension?00:14:47 —  Question #4: How do you feel about the impact of AI on highly regulated industries where adoption has been slower?

00:16:50 — Question #5: How does change management need to evolve in response to the rapid development of AI tools?

00:18:54 — Question #6: Changes are happening so quickly. How can professionals keep up? Are there trusted resources that stay current with innovations?

00:23:11 — Question #7: Do you have any tips for creating a tailored AI learning curriculum versus a “one-size-fits-all” approach?

00:24:51 —  Question #8: For someone passionate about AI but not in a leadership position, how can i initiate change at an individual level?

00:28:42 — Question #9: How can you address resistance to change and skepticism toward AI, especially when the tools are available, but usage lags?

00:30:47 —  Question #10: What’s your advice for someone leading a lean team who needs to pitch AI to executives with no time or interest in experimentation?

00:31:41 — Question #11: If a large organization has rolled out something like Copilot but no one is talking about AI or expanding beyond it, what are some tactical next steps to drive broader AI engagement?

00:34:21 — Question #12: As a director in higher ed, how can I motivate leadership to pursue something like Ohio State’s “AI Fluency” initiative?

00:38:00 — Question #13: Which AI tools do you like the best, and do certain ones work better for specific industries? How do you personally evaluate and select them?

00:40:49 — Question #14: How can startups or innovators best use Problems GPT, especially for category creation? Could you walk through an example? 

00:45:54 — Question #15: What excites you most about AI’s potential for startups right now?

00:49:29 — Question #16: Have you seen companies using AI-generated efficiency gains to reinvest in people, like offering shorter workweeks or well-being benefits?

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.

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This week, Paul and Mike unpack the New York Times’ list of 22 upcoming roles (from “AI auditors” to “personality directors”), weigh Andy Jassy’s memo that generative AI will mean leaner teams, and dissect the viral MIT study about what ChatGPT might be doing to your brain. Rapid-fire hits include Meta’s billion-dollar talent raid, Apple’s rumored Perplexity bid, and fresh OpenAI-Microsoft friction.

Show Notes: Access the show notes and show links here

Timestamps: 

00:00:00 — Intro

00:05:41 — The New Jobs AI Could Create

00:26:11 — Amazon CEO on AI Job Disruption and AI Underemployment

00:39:28 — Your Brain on ChatGPT

00:52:22 — Fallout from the Meta / Scale AI Deal

00:55:27 — Meta and Apple AI Talent and Acquisition Search

01:05:59 — The OpenAI / Microsoft Relationship Is Getting Tense

01:08:53 — Veo 3’s IP Issues

01:12:09 — HubSpot CEO Weighs In on AI’s SEO Impact

01:15:29 — The Pope Takes on AI

01:18:39 — AI Product and Funding Updates

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.

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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.

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​​​​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.

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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.

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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!

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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.

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