The Evolution of the CMO Has Run in a Loop Since 2008
The evolution of the CMO has circled one question since 2008: can marketing prove its value? Why analytics, digital, and AI each failed to answer it.
The evolution of the CMO has circled one question since 2008: can marketing prove its value? Why analytics, digital, and AI each failed to answer it.
Marketing's value gap was always an accountability problem. Agentic AI removes the human who owned the numbers and widens the gap it was sold to close.
Composable architecture, headless, best-of-breed, and MACH aren't the same thing. Each conflation produces a specific failure mode at purchase time.
The AI marketing strategy conversation has converged on three right answers. Here's what breaks when organizations try to operationalize them.
WPP invested £300M in AI and claims 90% adoption. Revenue fell 8.1%. Here is what holdco agency AI platform adoption numbers reveal about competitive advantage and client value.
Most martech stacks work in one direction and break in every other. Dynamic isotropy is the marketing technology strategy diagnostic lens you're missing.
Nearly half of marketers say their operating model has no positive impact on martech value. The problem is architectural: most operating models organize activity, not outcomes.
The gap between AI hype and reality starts in the CEO's office. Peer pressure, magical thinking, and proxy metrics create an expectations gap that costs more than the technology.
Marketing orchestration requires more than martech integration. Learn why connected tools still fail at campaign orchestration and how marketing and IT can co-build the missing layer.