Tag: Gartner

The latest insights converge on a single, uncomfortable truth: most marketing organizations are investing in AI at the wrong layer. They’re deploying tools on top of broken operating models and dirty data, then wondering why the ROI isn’t materializing. The gap between AI ambition and AI readiness has never…

The CMO role is being rewritten by the marketing technology (and related) architecture that is running the enterprise. Forrester’s new research makes it explicit: the next-generation CMO isn’t running campaigns, they’re orchestrating networks of AI agents, data pipelines, and human specialists. The question isn’t whether this is coming, or…

Recent research from Forrester, Gartner, and HBR converges on a hard truth: the AI transition in marketing has moved past experimentation — and most teams aren’t ready for what comes next. Forrester’s Brian Hopkins identifies the core failure: we’re tracking prompts run and content generated, not pipeline influenced and…

AI adoption is failing not because of technology gaps, but because of human ones. The research is unambiguous — organizations are deploying AI at scale while simultaneously ignoring the psychological, governance, and data-quality foundations that determine whether those investments actually deliver. CMOs face a compounding challenge: their teams are…

This week’s research from HBR, Forrester, and MarketingProfs paints a clear picture: the CMOs winning with AI aren’t the ones with the most tools — they’re the ones who’ve redesigned how work actually gets done. Meanwhile, Forrester is projecting that 3 in 10 enterprises will actively damage customer experience…

AI in marketing is moving faster than the organizations deploying it. Agentic AI is already making autonomous decisions in campaign optimization, personalization, and media buying, but most marketing teams don’t yet have the governance structures, accountability frameworks, or operating models to manage that reality. The tools are ahead of…

This week’s intelligence from Gartner, Forrester, Braze, and Salesforce tells a consistent story: the organizations winning with AI aren’t the ones with the most tools — they’re the ones that have solved the unglamorous prerequisites. Clean first-party data. Clear human-AI decision boundaries. Brand governance that scales. Without those foundations,…

While AI adoption is now near-universal, the real story for Chief Marketing Officers (CMOs) is far more nuanced — and more demanding. Three structural shifts are converging simultaneously, and each one requires a concrete strategic decision, not a wait-and-see posture.

The CMO’s job in 2026 is to be an AI realist, not an AI enthusiast. This means making hard decisions about where AI creates genuine competitive advantage and where it creates the illusion of progress.

Yesterday’s announcements signal a convergence of three structural disruptions that CMOs can no longer treat as future-state planning items. They are happening now, and they are colliding simultaneously.