Let me be blunt: most of what you read about AI in marketing is bollocks. It's either theoretical nonsense from consultants who've never implemented anything, or cherry-picked case studies that ignore the messy reality of deployment.

The companies succeeding with AI in marketing understand a key distinction. They use AI to process information and identify patterns, then apply human judgment to act on those insights.

Inconsistencies in AI output aren’t just a user experience issue. While you can spot and fix problems in a chat interface, things become much more difficult when you’re using the API.

The solution is asynchronous AI. By treating it more like a team with clear roles for briefing, doing the work, checking it, and packaging the result; we can manage quality, context, and complexity more effectively. The real future of AI isn’t about one model doing everything. It’s about building systems that work together.

Six months ago, I was running a traditional digital marketing agency, helping clients with SEO, digital PR, and research in the ways we'd always done them. Today, I'm watching our AI-powered solutions save marketing teams over 100 hours monthly while delivering results that seemed impossible just a year ago.