Issue #8 · The Ops & Transformation Briefing · August 2026

The bar moved. The training didn't.

We asked whether AI has actually changed your day-to-day work. Six in ten of you said no. Employers, meanwhile, have already started putting AI skills in the job description. That mismatch is this issue.

Issue #8 6 min read Reader poll Free preview
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Your employer's expectations changed before your workflow did.

You told us what has actually changed in your team. For most of you, not much. But the job adverts have already moved on, and that is worth understanding before it turns up in your next appraisal.

Six in ten of you say AI has not changed the actual work. Not the pilots. Not the roadmap. The work.

We ran a poll in the LinkedIn group last week. 44 people answered. People running the shift, not people presenting slides about it.

A wooden ladder with its middle rungs missing, the top section lit in bright green

Employers describe something very different. A survey of more than a thousand US hiring managers, published last week, found that 74% now count AI skills as a strong advantage or a flat requirement. Only 22% train anyone in them.

Those two facts do not fit together. The gap between them is where the next few years of operations careers get decided, and that gap is the whole of this issue.

Read the full Issue 8 briefing

Free, every other Friday. Issue 8 has the full four-way poll split, the three employer numbers behind that 74%, why the Chicago Fed says AI exposure has not meant job losses, five live operations leadership roles across the UK and US, the COO salary spread nobody explains, and a thirty-minute job to do before Monday.

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Two courses if your employer is in the 55%

Neither of these is technical. Both are for people who have to make calls about AI rather than build it, and both can be audited for free. Content and pricing change, so check before you enrol.

Foundation · Non-technical
AI For Everyone — DeepLearning.AI
Coursera · Roughly 6 hours · Self-paced
What AI can and cannot realistically do, and how to spot a use case that will survive contact with a live process. Enough vocabulary to hold your own in the room where these things get decided.
View on Coursera →
Practical · Daily use
Generative AI for Everyone — DeepLearning.AI
Coursera · Roughly 5 hours · Self-paced
Using generative tools on real work, where they fall over, and how to put a small process around them. The hands-on half of the pair.
View on Coursera →