Four Different CDPs, One Convergence: When AI Decisioning Stops Being a Differentiator

Angle

In 2025–2026, four architecturally distinct CDP vendors — Tealium (CDW-native), Braze (CEP), Adobe (packaged CDP), and GrowthLoop (agentic composable) — all shipped integrated AI decisioning. When a capability converges across four different architecture types simultaneously, it stops differentiating vendors and starts becoming a table-stakes expectation. The article helps readers understand what convergence signals about where the category is heading — and more usefully, what questions to ask once AI decisioning is no longer a useful discriminator in vendor selection.

Key decision this helps with

If AI decisioning is becoming table-stakes across CDP architecture types, what should replace it as the primary evaluation criterion in your next CDP selection?

Tradeoffs the article will map

• Platform-native AI decisioning (integrated, lower overhead) vs. composable AI layer (portable, higher integration surface to govern)
• Early adoption of AI decisioning features (capability advantage now) vs. waiting for market-settled, independently benchmarked implementations
• Vendor AI roadmap investment (decisive for long-term capability gap) vs. current-feature comparison (decisive for near-term implementation cost)

Open questions / uncertainties

• Whether the four-vendor convergence pattern represents a stable new baseline or an early-adopter clustering that will widen back out as implementations mature is unknown
• Whether 'AI decisioning' means the same capability across vendors — vs. four distinct capabilities marketed under one label — is not yet independently benchmarked by Gartner or Forrester

Knowledge-graph nodes this draws from

• concept.real-time-decisioning
• vendor.tealium
• vendor.braze
• vendor.adobe-experience-platform