AI complicates marketing centralization decisions
AI is reshaping a core question for marketing leaders: which capabilities should be run centrally and which should stay close to the business. Gartner reports that 73% of marketers say their function is fully or mostly centralized, up from 67% a year earlier, but the right balance varies by business model and market conditions. AI pushes organizations in two directions – it makes shared data,…
Key points
- Gartner found 73% of marketing leaders report a fully or mostly centralized function, up from 67% the prior year.
- AI creates pressure for both greater centralization (shared data, expertise) and local autonomy (quick content creation).
- Hybrid models are recommended, with regular reviews at least twice a year to adjust for AI maturity and market changes.
The article argues that extremes are risky: too much centralization can slow decisions and mute local insight, whereas too little can create duplicated tools, inconsistent practices and higher costs. Many firms are moving to hybrid structures, keeping data, technology and AI expertise at the enterprise level while letting business units own execution. Gartner advises reviewing the central‑local mix at least twice a year and whenever strategy, regulation, technology or AI maturity shifts, to keep the structure aligned with business goals.
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Why AI is complicating marketing centralization
MarTech · 5 November 2026Loading the full article…
This text was published by MarTech and written by Sally Witzky. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.
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