MarTech urges marketers to vet AI advice

The author, a seasoned email marketer, compares the current AI landscape to early email automation, noting that many early tools were trial‑and‑error. He outlines three checks: 1) whether the advice diverges from consensus, 2) whether the expert shows their work, and 3) whether the problem is clearly defined before implementation. He cites examples such as an abandoned‑cart workflow and a 2010 study by Charles Nicholls of SeeWhy that improved email timing.

The article also warns against “silver‑bullet” claims and encourages readers to look for community consensus, data, and transparent methodology. It concludes that true thought leaders share their process and give back through free content, podcasts, and webinars.