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 Full briefing
This issue in one line

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.

Has AI changed what your operations team actually does day to day?
Yes — real change already39%
Some pilots, no real change32%
Talked about, nothing yet18%
No AI in our operations11%

44 responses, OperationsCareers LinkedIn group, July–August 2026. Small sample, and people who care about AI are the ones most likely to answer a poll about AI. We will say that every time we run one. This is a signal from this community, not a market survey.

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

You can read that two ways.

The cheerful version: 71% have AI somewhere in the building, and only 11% have none at all. Three years ago that would have been news.

The one that stuck with us: 61% have pilots, meetings and plans, and a job that looks much the same as it did last year. Someone bought a licence. Someone ran a kickoff. Monday morning is unchanged.

Now put that next to what employers are saying.

Three numbers from the people who do the hiring

Last week ZipRecruiter published its 2026 AI Employer Report. They asked over a thousand US hiring managers and recruiters what AI has changed about the way they hire. Three answers matter if you are building an operations career.

1

The requirement has already been written into the job

74% now count AI skills as a strong advantage or a flat requirement for at least some roles. 13% require them for every role in the company. This is not a prediction about 2030. It is in the adverts going up this month.

2

The output expectation moved with it

57% have raised what they expect people to produce. More work, better, faster, on the assumption AI is already helping. Look at what that assumption runs into: 61% of you say the work has not changed.

3

Almost nobody is teaching it

Only 22% run mandatory AI training for everyone. Another 23% offer it to a few departments. That leaves more than half of people with an optional link, or nothing.

One finding is easy to miss and worth holding onto. The same employers said critical thinking (65%), judgement (59%) and creativity (58%) matter more in hiring than they did a year ago. The human skills went up too. Not away.

Being straight about the data: this is a US online panel, about a thousand employers, all self-reported. Good for direction, not for precision. Same goes for our 44.

The bar moved. For most people, the ladder did not.

A gap like that does not just evaporate. It has to land somewhere, and in operations it usually lands on people. Same team, same systems, bigger number to hit.

Where you have an advantage. You already measure things. Volume, turnaround, error rates, rework, backlog age. If the expectation has gone up and nothing else has, you can put a number on it. Most people can only put a mood on it. A number is a far easier thing to take to your manager.

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 →

Three findings worth knowing this fortnight

4

Exposure to AI has not meant job losses so far

The Chicago Fed published a working paper in July that looks backwards rather than forwards, at what actually happened to jobs between 2019 and 2024. Occupations most exposed to AI grew by 4.05%. The less exposed ones shed jobs. Wages went up either way. Their own conclusion: exposure tells you a role is being reshaped, not that it is going away.

5

Deployment in supply chain is lower than the headlines suggest

Sage asked 200 retail and wholesale supply chain operators how much AI they had actually running live. The answer was 10%. Keep that number to hand the next time a deck implies everyone else is already there.

6

The entry rung is getting harder to reach

In the same survey, 38% of employers had already moved basic data processing off entry-level staff and onto AI, and 31% had raised the experience bar for entry-level roles because of it. If you hire, this is your problem too. The routine work that used to teach people the process is disappearing, and you still need them to learn it.

Five operations roles open right now

Five operations roles open at the time of writing, linked directly to the employer's own application page rather than to a job board. Roles close without notice, so check before you invest time in an application.

United States
Technology · Remote, US · $106,802–$161,550
Business Operations Manager, Technical Support Ops — Samsara
Full time · Remote (excludes SF Bay, NYC and DC metro areas)
This one is worth reading even if you do not apply. The role owns AI governance across the support organisation — tracking which tools and use cases teams are building, setting versioning standards, stopping good practice getting siloed. That job did not exist two years ago, and it is exactly the shape of role this issue is about. Eight years of business operations or consulting experience, and the posting explicitly expects daily use of AI tools.
View the role →
Packaging and distribution · San Luis Obispo, CA · $90k–$120k plus bonus
Director of Operations — Ernest
Full time · Fully on site
Full P&L accountability across office, warehouse, customer service, purchasing and inventory for a division of an 80-year-old packaging business. ERP and SAP knowledge wanted, Lean Six Sigma listed as a plus. Three to five years of operational management is the bar, which makes this one of the more reachable roles here.
View the role →
United Kingdom
Retail · London, UK
Retail Operations Manager — Jaded London
Full time · Office based with travel
Owning all retail operations for a fast-growing fashion brand: pop-ups, store openings, and the coordination between creative, production, logistics and external vendors. A good fit if your strength is making things happen across teams that do not report to you.
View the role →
Education and the arts · Twickenham, UK · Up to £85,000 plus benefits
Chief Operating Officer — Rambert School of Ballet and Contemporary Dance
Full time · Posted within the last week
A genuine COO title at a smaller organisation, which is often the most realistic route out of a Head of Operations role. Broad remit across the operational, financial and strategic running of one of the leading centres of dance training.
View the role →
Social care · London and South East · £105,000–£125,000
Chief Operating Officer — social care provider (via Hampton's Resourcing)
Full time · Kent and South East London
Leading operational delivery and growth for a multi-site care provider. Regulated, multi-site, quality-inspected operations — closer to regulated financial services work than the sector label suggests.
View the role →
Market note — read the title, then check the number. Five salary sources, five very different answers for the same US job title: ZipRecruiter $151,203, Indeed $161,700, Glassdoor $250,760, ERI $339,411, Salary.com $467,043. That is not sloppy data. A COO at a forty-person logistics firm and a COO at a bank are different jobs wearing the same label, and each source is sampling a different crowd. Glassdoor's own industry split says it plainly: IT median $405,045, healthcare $232,416. In the UK, one recently advertised London COO role listed from £151,177, while the Royal Geographical Society role above sits at around £100,000. Benchmark against your sector. Never against the headline.

Thirty minutes, no budget required

If the expectation has gone up and nobody has offered you training, waiting for a policy is a slow plan. Go in with something concrete instead.

The thirty-minute version
  1. List the three tasks that eat your week. Not the important ones. The ones that take the hours.
  2. Pick one where a tool could write a first draft. Draft, not decide. In finance operations, AI drafts the narrative, never the ledger. In HR operations, AI assists, never decides the hire. Same rule wherever you sit.
  3. Put a number on it that you already track. Hours a week, error rate, rework, turnaround. It is probably sitting in a report you send anyway.
  4. Take it to your manager as a proposal, not a complaint. Three in four employers say they want the skill. Very few have worked out how anyone is meant to get it. That is your case for a training line in the next budget.

One question before you go

Employers say they want the skill. Only 22% say they train anyone in it. We want to know what that looks like from where you are sitting. Results go into the next issue.

Has your employer given you any formal AI training?

One vote per browser. No sign-in, nothing stored about you beyond the count.

The gap is uncomfortable, and it is also an opening

Restructuring is not nothing. The shape of the job changes, and the person who saw it coming does better than the person who did not. But it is a long way from the headlines, and the Chicago Fed numbers are a reasonable place to stand.

Here is the bit worth taking into Monday. Every organisation asking for more output without offering more capability has a problem it has not named yet. Naming it, measuring it and suggesting something workable is not a new skill you have to go and learn. It is the one you already have, pointed at a gap everyone else is quietly hoping sorts itself out.

Keep Sharing… Keep Learning...

Thanks to everyone who voted. The next poll goes out in the group this week, this time on whether your employer has actually trained you.

The views expressed in this newsletter are based on personal professional experience and observation. They do not constitute professional, legal, financial or career advice.