AI has made the separation between IT and marketing impossible to ignore.

Creative tools now touch sensitive data, brand systems, customer information, and intellectual property. Yet ownership models have not kept pace.

You may recognise the pattern:

• IT owns security, infrastructure, and risk (and often the DAM and PIM)
• Marketing owns outcomes, speed, and performance
• Studio teams sit in the middle, absorbing friction from both sides

When these groups are misaligned, AI adoption becomes reactive. Tools are introduced before guardrails exist. Governance follows incidents rather than preventing them. Costs emerge without clear accountability.

This is not a cultural failure, it is a structural one. IT and marketing are measured on different outcomes, yet AI demands shared responsibility. Without a clear operating contract, teams either move too slowly or too independently.

The organisations making progress are not those who centralise everything, but those who agree on principles: what must be controlled, what can be flexible, and who decides when trade-offs are required.