Key points
- A MarTech column argues AI has removed production as marketing's main constraint, shifting the bottleneck to intake, decisions, reviews and handoffs.
- The author, a consultant, says deadlines still slip by weeks because of approval queues, conflicting priorities and unclear sign-off.
- Four fixes: one intake path with explicit criteria, end-to-end work mapping with limited work in progress, defined AI and human roles, and short feedback cycles.
Why it matters for marketers: Buying more AI tools will not speed up delivery if approvals and ownership stay unchanged; marketing leaders need to redesign workflows, not just add software.
A new column in MarTech makes the case that marketing teams have bought fast AI tools but still ship late. The author, a consultant who works with marketing organizations, says output now arrives in minutes, yet deadlines slip by weeks because briefs sit in approval queues, teams chase conflicting priorities and nobody owns final sign-off.
The argument is that the constraint has moved upstream. When drafting copy and building assets is cheap, the delays sit in intake, decisions, reviews and handoffs. The author says adding tools to an old operating model only speeds up existing dysfunction, and describes a common pattern: a platform rollout, one training session, patchy usage six months later and workarounds everywhere.
For marketers, this reframes the leadership job. Stakeholders who see AI investments expect far more output, and the column says leaders end up explaining why delivery has not kept pace. Agencies and in-house teams alike may find that the biggest gains come from fewer handoffs, clearer decision rights and priorities everyone can see, not more capacity.
The author offers four starting points. Route every request through a single front door with explicit criteria, so the loudest stakeholder does not set the agenda. Map work end to end and look for where it waits, then limit work in progress. Decide which steps AI owns, where humans review and what judgment cannot be delegated. Finally, use short cycles so teams learn from results.
A practical next step is to audit one recent campaign and note where it waited longest. If the delay was approval or ownership rather than production, a new tool is unlikely to fix it.
Sources
This brief is our own summary. Read the full reporting at the source.
