The One-Person Marketing Department Has a Review Problem
A one-person marketing department assumes one human can check everything AI produces. The real limit is how much they can review, not how good their taste is.
A one-person marketing department assumes one human can check everything AI produces. The real limit is how much they can review, not how good their taste is.
AI marketing vendor evaluation usually aims the scrutiny at the vendor. The questions that predict whether an AI agent works are ones about your own team.
Agentic transformation is vendor language for buying AI agents. Search data and the production gap reveal what decides the payoff: whether your team can run it.
AI cognitive offloading is quietly eroding marketing judgment and critical thinking. Here's the threat senior marketers miss, and how to protect the skill.
AI ROI fails on data foundations, not model quality. Atlan on the 2.5x gap in AI revenue satisfaction and why the fix is upstream of the models.
Martech stack strategy lives in what your team does with the technology, not the tools you wire together. A 1995 idea explains why, and what AI agents change.
Early consumer reviews of AI customer-service agents are rough. CNBC on the refund fights and frustration as chatbots take over support.
AI upskilling pays off only when your operating model can absorb it. Training marketing teams on AI tools without redesigning the work creates capability you can't deploy.
Your company may be stuck in committee on AI, but you can't afford to wait. Ryan Phelan on bottom-up experimentation that solves real business problems.