5 capabilities that separate AI-native teams from everyone else | MarTech
Briefly

5 capabilities that separate AI-native teams from everyone else | MarTech
"You bought the AI-powered martech stack. You paid for the licenses, sat through the demos and rolled out the shiny new tools to your team. But why are your results so incremental? If you're a marketing leader, you know this story. You're investing in artificial intelligence at an unprecedented rate, yet most organizations struggle to see a tangible ROI. The hard truth is that 80% of AI initiatives fail to deliver on their promise."
"The problem is we're trying to run 21st-century AI on a 20th-century organizational model. Our marketing departments are still organized into rigid, functional silos: the email team, the SEO team, the content team and the ads team. Every time work has to move from one silo to another, it creates a game of organizational telephone where a brilliant customer insight from the social team is distorted by the time it becomes a content brief."
Many organizations invest heavily in AI martech yet achieve only incremental results because existing organizational models block value realization. Marketing remains divided into rigid functional silos—email, SEO, content, ads—causing insight distortion and dilution as work moves between teams. Simply adding AI to broken processes yields limited benefit. Unlocking AI's power requires a hyperadaptive organization built around core capabilities that enable continuous, real-time sensing, prediction, and response. AI-powered sensing analyzes vast internal and external data to predict customer needs, detect subtle market shifts, and move marketing from reactive reporting to proactive action.
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