Tag: Gartner

Recent research and press releases tell a story vendor marketing won’t. The gap between AI investment and AI readiness keeps widening. CMOs are caught between two pressures at once: deploy AI at scale, while their own customers turn to AI to screen out AI-generated marketing. Better messaging won’t close…

Recent research surfaces a single dominant pattern: the AI infrastructure layer and the data layer underneath it are consolidating faster than most marketing organizations are restructuring around them. Gartner’s latest forecast puts global AI spending at $2.59 trillion in 2026, a 47% jump year-over-year, with enterprises still trailing vendors…

Yesterday was not a typical news day for marketing technology — it was Google Marketing Live, and the volume and scope of announcements signal a structural shift in how marketing infrastructure is being rebuilt around AI agents. But before Chief Marketing Officers (CMOs) get swept up in the excitement,…

This week’s scan across Harvard Business Review, McKinsey, Gartner, Forrester, MarketingProfs, and the AMA Journal of Marketing converges on a structural problem: the tactics marketers use to persuade buyers and the metrics they use to prove value both assume a human on the other side. AI now occupies that…

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…