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The Artificial Intelligence Show

The Artificial Intelligence Show

Auteur(s): Paul Roetzer and Mike Kaput
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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.All Rights Reserved 2023, 384248 Marketing Marketing et ventes Réussite personnelle Économie
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  • #194: Agentic AI Timelines, Generalists vs. Specialists, Resume Tips, AI Learning Ownership, & Handling Model Updates
    Jan 29 2026
    Who actually owns AI learning: L&D, HR, or you? Paul Roetzer and Cathy McPhillips break down the talent crisis, the rise of the generalist, and realistic timelines for AI agents. They explain the specific signals that tell you a pilot is failing due to human resistance rather than tech, why it is unlikely we will see a universal "GPT-4 moment" for agents this year, and the critical importance of maintaining human authenticity in an era of AI-generated content. Show Notes: Access the show notes and show links here Timestamps: 00:00:00 — Intro 00:06:11 — Question #1: Who owns AI learning: L&D or departments? 00:09:52 — Question #2: Hiring dedicated AI change management consultants. 00:11:54 — Question #3: Middle management’s role in normalizing adoption. 00:14:27 — Question #4: Signals a pilot is failing due to culture, not tech. 00:16:12 — Question #5: Balancing learning pace vs. rapid experimentation. 00:20:11 — Question #6: Hiring for critical thinking and AI skills. 00:23:31 — Question #7: Experience vs. Adaptability in talent acquisition. 00:25:35 — Question #8: Protecting and compensating AI leaders. 00:27:56 — Question #9: Using AI with confidential data restrictions. 00:30:35 — Question #10: Realistic timelines for AI agent advancement. 00:33:21 — Question #11: Managing model selection and "agent chaos." 00:37:24 — Question #12: The rise of the Generalist vs. Specialist. 00:41:14 — Question #13: Proving AI skills beyond certificates. 00:44:25 — Question #14: Trust and authenticity in AI content. 00:48:35 — Question #15: AI SDRs: Vendor questions vs. building in-house. This episode is brought to you by Google Cloud: Google Cloud is the new way to the cloud, providing AI, infrastructure, developer, data, security, and collaboration tools built for today and tomorrow. Google Cloud offers a powerful, fully integrated and optimized AI stack with its own planet-scale infrastructure, custom-built chips, generative AI models and development platform, as well as AI-powered applications, to help organizations transform. Customers in more than 200 countries and territories turn to Google Cloud as their trusted technology partner. Learn more about Google Cloud here: https://cloud.google.com/ 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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    52 min
  • #193: AGI Talk at Davos, Amazon Layoffs, AI for Course Creation, OpenAI Cybersecurity Warning, New Claude Constitution & Credit-Based AI Pricing
    Jan 27 2026
    World leaders and tech titans are debating AGI timelines at Davos, but Amazon’s latest moves suggest the disruption is already here. Paul Roetzer and Mike Kaput dissect the disconnect between the "powerful AI" promised by labs and the labor market "tsunami" warned by the IMF. From the White House’s "Great Divergence" report to Anthropic’s new 84-page Constitution and xAI’s "human emulators," we explore the friction between technological acceleration and human adaptation. Plus, a look behind the curtain at how SmarterX uses AI to build courses at scale. Show Notes: Access the show notes and show links here Click here to take this week's AI Pulse. Timestamps: 00:00:00 — Intro 00:03:03 — AI Pulse 00:05:10 — AGI Comes to Davos 00:21:26 — Amazon Layoffs and the “Great Divergence” 00:38:59 — AI for Course Creation 00:58:55 — Google DeepMind Is Hiring a “Chief AGI Economist” 01:02:06 — OpenAI Warns AI Is Reaching “High” Cybersecurity Threat Levels 01:07:18 — Anthropic Publishes New “Constitution” That Governs Claude’s Behavior 01:17:39 — New Survey Shows Big Disconnect Between Employees and Leaders on AI 01:24:39 — xAI Wants to Automate White-Collar Workers 01:28:29 — How Do Credit Pricing Models Work? 01:38:22 — AI Product and Funding Updates Today’s episode is also brought to you by our AI for Agencies Summit, a virtual event taking place from 12pm - 5pm ET on Thursday, February 12. The AI for Agencies Summit is designed for marketing agency practitioners and leaders who are ready to reinvent what’s possible in their business and embrace smarter technologies to accelerate transformation and value creation. There is a free registration option, as well as paid ticket options that also give you on-demand access after the event. To register, go to www.aiforagencies.com 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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    1 h et 43 min
  • #192: AI Answers - Responsible AI Adoption, Agency Transformation, Rethinking Workflows, Data Privacy, & Leadership in the Age of AI Agents
    Jan 22 2026
    No business school prepared leaders for managing humans alongside autonomous AI agents. In this AI Answers episode, Paul Roetzer and Cathy McPhillips break down the immediate strategic shifts required for 2026. They explore where marketing agencies can use AI in a post-billable-hour world, the rise of the AI Output Verification manager, and why LLM’s "alien technology" requires a new approach to risk. Plus: Practical advice on building custom GPTs and knowing when not to automate. Show Notes: Access the show notes and show links here Timestamps: 00:00:00 — Intro 00:03:38 — Question #1: AI Leverage for Marketing Agencies 00:07:44 — Question #2: The "Alien" Nature of LLMs 00:10:06 —Question #3: Responsible AI Mistakes to Avoid 00:13:07 — Question #4: Evaluating AI Platforms 00:16:32 — Question #5: Platform Consolidation 00:18:32 — Question #6: Building Internal Systems vs. Third-Party Tools 00:20:09 — Question #7: Data Privacy Concerns 00:23:09 — Question #8: Signaling Trust & Authenticity 00:25:47 — Question #9: Reinventing Workflows & Org Charts 00:30:50 — Question #10: How to Start Building AI Assistants 00:33:34 — Question #11: What You Should Never Automate 00:36:12 — Question #12: Scaling AI Too Fast 00:38:36 — Question #13: New Leadership Skills 00:41:42 — Question #14: AI Output Verification 00:45:29 — Bonus: AI Book Recommendations This episode is brought to you by Google Cloud: Google Cloud is the new way to the cloud, providing AI, infrastructure, developer, data, security, and collaboration tools built for today and tomorrow. Google Cloud offers a powerful, fully integrated and optimized AI stack with its own planet-scale infrastructure, custom-built chips, generative AI models and development platform, as well as AI-powered applications, to help organizations transform. Customers in more than 200 countries and territories turn to Google Cloud as their trusted technology partner. Learn more about Google Cloud here: https://cloud.google.com/ 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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    50 min
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