#194: Agentic AI Timelines, Generalists vs. Specialists, Resume Tips, AI Learning Ownership, & Handling Model Updates cover art

#194: Agentic AI Timelines, Generalists vs. Specialists, Resume Tips, AI Learning Ownership, & Handling Model Updates

#194: Agentic AI Timelines, Generalists vs. Specialists, Resume Tips, AI Learning Ownership, & Handling Model Updates

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 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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