The CMO’s AI Playbook: From Complexity to Clarity with Jim Lecinski

Tech Marketing Rewired

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The AI landscape has transformed so dramatically since 2021 that the original marketing playbook is already outdated. In this episode, get an exclusive preview of the upcoming second edition of The AI Marketing Canvas from author and Northwestern's Kellogg School of Management, clinical professor Jim Lecinski, who explains why the rise of generative AI demanded a completely new roadmap.

Lecinski unveils the core change in his updated framework: marketers must now operate with a "whole brain," combining left-brain predictive analytics with right-brain generative AI.

He provides new perspectives on the five-stage implementation canvas that guides organizations from data foundation to monetization and his practical 2x2 matrix for identifying the most valuable use cases.

This discussion is filled with fresh insights from the upcoming new edition, tackling the most urgent challenges facing leaders today. We explore the "gray market" AI paradox, where cautious enterprise security policies unintentionally push employees to use risky consumer tools. Jim also shares updated case studies, like IKEA's AI interior designer, that exemplify the new quadrant of external, value-creating AI applications.

Jim’s most compelling point is that the biggest barriers to AI adoption are not budget or technical skill, but the lack of a clear implementation plan—a problem the second edition of his book aims to solve.

Whether you're starting out or scaling up, his advice is direct: commit one hour a week to hands-on learning. As he says, "If you wanted to learn how to surf, you wouldn't watch a PowerPoint about surfing". This episode is your surfboard for the new wave of AI.

🎧 Tech Marketing Rewired is hosted by Kevin Kerner, founder of Mighty & True.

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فصول

1. Introduction to Jim Leszczynski (00:00:00)

2. The Evolution of AI Marketing (00:03:13)

3. The Five-Stage AI Marketing Canvas (00:06:48)

4. Use Cases & Quadrant Framework (00:16:55)

5. Privacy Concerns & Implementation Challenges (00:23:13)

6. AI in Education & Getting Started (00:29:09)