EPISODE · Feb 26, 2026 · 1H
#199: AI Answers - Do Custom GPTs Still Matter? AI Output Validation, 2026 Job Disruption, Preventing Burnout, and Build vs. Buy
from The Artificial Intelligence Show · host Paul Roetzer and Mike Kaput
There is no shortcut for AI verification, and that's a good thing. Paul Roetzer and Cathy McPhillips answer 15 questions business leaders continue asking again and again. They unpack why AI output verification has no shortcut, where agent-building tools like Claude Code and Lovable actually stand, and the uncomfortable math behind which roles get disrupted next. Paul explains why enterprises are moving painfully slow even as the technology races ahead, how early adopters are creating burnout by doing the work of entire teams, and why situational awareness is the AI superpower most leaders are missing. 00:00:00 — Intro 00:07:00 — Question #1: Do you need to prompt AI the same way every time? 00:10:59 — Question #2: What problem do custom GPTs actually solve? 00:14:26 — Question #3: Are SaaS providers becoming model agnostic? 00:17:09 — Question #4: Why AI voice and tone change when models update. 00:20:36 — Question #5: AI output validation: why there's no shortcut for verification. 00:23:17 — Question #6: Tools for building AI agents: where to start. 00:26:11 — Question #7: Will knowledge workers face the same AI disruption as developers? 00:29:53 — Question #8: AI burnout: how leaders can prevent it during the AI transition. 00:36:21 — Question #9: Which roles and skills are most at risk from AI? 00:42:03 — Question #10: Traditional BI platforms vs. AI-first reporting systems. 00:45:22 — Question #11: Build vs. buy: AI decision framework for business leaders. 00:48:52 — Question #12: Competitive advantage for AI-forward agencies. 00:52:43 — Question #13: How to tell when someone just copy-pasted from ChatGPT. 00:54:39 — Question #14: Ads in AI platforms: what business users should know. 00:56:42 — Question #15: The one AI superpower every business leader needs. Show Notes: Access the show notes and show links here 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 Community LinkedIn Twitter Instagram Facebook YouTube Looking for content and resources? Register for a free webinar Come to our next Marketing AI Conference Enroll in our AI Academy
What this episode covers
There is no shortcut for AI verification, and that's a good thing. Paul Roetzer and Cathy McPhillips answer 15 questions business leaders continue asking again and again. They unpack why AI output verification has no shortcut, where agent-building tools like Claude Code and Lovable actually stand, and the uncomfortable math behind which roles get disrupted next. Paul explains why enterprises are moving painfully slow even as the technology races ahead, how early adopters are creating burnout by doing the work of entire teams, and why situational awareness is the AI superpower most leaders are missing. 00:00:00 — Intro 00:07:00 — Question #1: Do you need to prompt AI the same way every time? 00:10:59 — Question #2: What problem do custom GPTs actually solve? 00:14:26 — Question #3: Are SaaS providers becoming model agnostic? 00:17:09 — Question #4: Why AI voice and tone change when models update. 00:20:36 — Question #5: AI output validation: why there's no shortcut for verification. 00:23:17 — Question #6: Tools for building AI agents: where to start. 00:26:11 — Question #7: Will knowledge workers face the same AI disruption as developers? 00:29:53 — Question #8: AI burnout: how leaders can prevent it during the AI transition. 00:36:21 — Question #9: Which roles and skills are most at risk from AI? 00:42:03 — Question #10: Traditional BI platforms vs. AI-first reporting systems. 00:45:22 — Question #11: Build vs. buy: AI decision framework for business leaders. 00:48:52 — Question #12: Competitive advantage for AI-forward agencies. 00:52:43 — Question #13: How to tell when someone just copy-pasted from ChatGPT. 00:54:39 — Question #14: Ads in AI platforms: what business users should know. 00:56:42 — Question #15: The one AI superpower every business leader needs. Show Notes: Access the show notes and show links here 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 Community LinkedIn Twitter Instagram Facebook YouTube 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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#199: AI Answers - Do Custom GPTs Still Matter? AI Output Validation, 2026 Job Disruption, Preventing Burnout, and Build vs. Buy
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