Marketing Operations

Viewpoint: the next great marketing leaders will design how work gets done, because AI moved the bottleneck upstream

Developing

Opinion based on anecdotes; no benchmarks, surveys or controlled results are provided.

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Photo: Conference room table (Unsplash) by Breather breather, CC0, via Wikimedia Commons

In 60 seconds

  • The author says AI made content production cheap, so "the constraint moved upstream" to intake, decisions, reviews and handoffs.
  • Adding tools to unchanged processes adds friction rather than speed.
  • Leaders should focus on intake and prioritisation, limiting work in progress, defining human versus AI roles and fast feedback loops.
  • A practical start is to map one workflow end to end and measure the wait time between steps.

Impact Layer

What changed
A practitioner reframes marketing operations as workflow design.
Why it matters
If approvals and handoffs are the bottleneck, faster content tools will not increase output.
Who is affected
Marketing operations leaders and team managers.
Martech stack area
Marketing Automation, Content
Stack impact
Map one recurring workflow, such as a campaign brief to launch, and measure how long work waits between steps.
Business impact
Low A contributed opinion piece on MarTech (owned by Semrush), based on the author's consulting with teams of two to 200 people; no benchmarks. Tools such as Claude and Canva AI are mentioned as examples, not evaluated.
Related technologies
What to watch
Your own measured wait times.

Stacey Ackerman, an independent consultant and MarTech contributor, argues in a column published October 19, 2026 that the next great marketing leaders will design how work gets done.

The argument

  • AI made content production cheap, so the bottleneck moved to intake, decisions, reviews and handoffs: “the constraint moved upstream”.
  • Adding tools to unchanged processes adds friction rather than speed.
  • Leaders should focus on four areas: intake and prioritisation, limiting work in progress, defining human versus AI roles and fast feedback loops.
  • A practical starting point is to map one workflow end to end and measure wait time between steps.

Examples

A deadline slipped three weeks because a brief sat in an approval queue; before AI, copywriting and design took “weeks (and sometimes months)”; and one client’s platform rollout showed patchy usage and workarounds six months later.

Caveats

It is an opinion piece based on anecdotes, with no benchmarks, surveys or controlled results.

Our read

Measuring wait time is cheap and tells you whether tools or process are your limit.

Sources

  1. MarTech: The next great marketing leaders will design how work gets done (opens in a new tab) News report ·

    Source for the column's argument and caveats.

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