AI Theater vs. AI That Moves Pipeline: The Three-Layer Difference
Tabs open, tools subscribed, content shipping faster — and pipeline unchanged. The three-layer difference between AI theater and AI that produces results.
July 2, 2026Read more →
When AI Adoption Needs Marketing Leadership (and When It Doesn’t)
The four tells that AI adoption has outrun leadership, what that leadership function actually owns, and an honest look at director, CMO, and fractional paths.
July 1, 2026Read more →
Is AI Actually Paying Off? How to Measure AI’s Impact on Your Marketing
Three levels of AI marketing measurement — efficiency, quality, and business impact — plus the vanity metrics to skip and the monthly review that keeps it honest.
June 26, 2026Read more →
Brand Voice, Fact-Checking, and the AI Slop Problem: The Governance Layer Your Marketing AI Needs
Voice drift, fabricated statistics, and volume without judgment — the three AI content failure modes, and the lightweight governance layer that prevents them.
June 19, 2026Read more →
You Don’t Need an AI Hire: Upskilling the Marketing Team You Already Have
Why hiring an AI specialist usually misfires at mid-market scale — and the patterns, prompt libraries, and practice your existing marketing team actually needs.
June 17, 2026Read more →
What to Automate First: Ranking AI Marketing Use Cases by ROI, Not Novelty
A prioritization scorecard for AI marketing use cases — impact, quality risk, setup effort, and dependencies — and why the boring workflows usually win.
June 10, 2026Read more →
Where AI Actually Fits in the Marketing Workflows You Already Run
The three marketing workflow families where AI integration pays first — content ops, nurture, and reporting — and the human quality gate that makes it work.
June 5, 2026Read more →
AI Integration for Mid-Market Marketing Teams: The Complete Guide
How $5M–$50M B2B companies integrate AI into existing marketing workflows, teams, and measurement — a three-layer framework for getting past tool adoption.
June 3, 2026Read more →