Tag: McKinsey

The dominant story in recent enterprise marketing research is a widening execution gap in agentic AI. Investment keeps climbing. Scaling doesn’t. Across the new reports, the same picture keeps surfacing — most organizations are spending on AI without operationalizing it.

Three years into the enterprise AI cycle, productivity gains are no longer enough to satisfy boards. The gap separating the firms building durable advantage from the firms still chasing tool adoption keeps widening, and the McKinsey, Forrester, and HBR research from this week makes the structural reasons for that…

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…

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…

Whether the topic is AI agent readiness, personalization at scale, or brand presence in LLMs, the organizations pulling ahead are those that have invested in data foundations, governance, and operational workflows — not just the latest AI tools.

Recent intelligence points to a single strategic imperative for CMOs: the marketing function must be rebuilt for an AI-mediated world, not just augmented with AI tools. The shift from human-driven to agent-mediated discovery, purchase, and loyalty is not a future scenario — it is an active transition. McKinsey’s $3-5…