I’ve been in rooms with PMMs, VCs, founders—everyone’s wrestling with AI’s role in our work but missing a clear playbook. The author’s core message is that human strengths—storytelling, judgment, strategy, relationships—are more valuable than ever. AI can’t choose which customer insight moves the needle, craft an original go-to-market strategy tailored to your org, or navigate messy stakeholder dynamics. Those are your moat. As AI-generated content floods the market, your job shifts from content producer to quality gatekeeper, strategist, and connector. On top of that, there’s a hidden risk: “AI brain rot.” If you let tools do all the thinking, your storytelling, strategic reasoning, and influencing skills weaken. The advice: tackle problems with your own brain first. Then bring AI in as a critic and amplifier. Keep sharpening your craft through deliberate practice and human feedback—peers, mentors, coaches who’ll challenge your positioning and strategy rather than just validate it. And don’t fall into the trap of treating AI transcripts as substitutes for real conversations—your best insights come from talking to customers, listening live to sales calls, and watching reactions in the room. To make AI work for you, use a three-tier workflow. Level 1 covers execution tasks—summaries, data aggregation, release notes—that yield big time savings with low risk. Level 2 is about thought partnership: iterating on messaging, stress-testing positioning, brainstorming strategy variations. Here, AI fuels conversation rather than doing the work alone. Level 3, which the article hints at next, involves more advanced, high-stakes applications that still require your full human context and oversight. This framework helps you slot AI into areas where it boosts efficiency without undercutting your core value.