Every vendor is adding AI to their marketing. But how much of it is real value versus buzzword dressing? The hype cycle is peaking, and it is time for marketers to get discerning.

The Problem with AI Everything

Every product now claims to be AI-powered. Email platform? AI. Analytics? AI. Landing pages? AI. At some point, we need to ask: what is actually intelligent, and what is just rebranded automation?

What AI Actually Does Well

  • Pattern recognition in large datasets
  • Personalization at scale
  • Content variation and testing
  • Predictive modeling

What AI Does Not Do Well

  • Understand brand voice authentically
  • Replace strategic thinking
  • Navigate ethical gray areas
  • Build genuine customer relationships

The Coming Correction

We will see a区分ation between AI-washing and genuine AI innovation. Companies that invested in real AI capabilities will thrive. Those that added AI buttons to dashboards will fade.

What Marketers Should Do

Be skeptical of AI claims. Ask specific questions about what the AI actually does. Focus on outcomes, not features. The best AI is invisible - it just makes things work better.