AEVOMIND INSIGHTS — AI EMPLOYEES
Can AI replace admin staff? What the evidence actually shows

AI is taking on admin tasks, not admin roles. ONS data shows UK business use of AI almost tripled between 2023 and 2026, yet among businesses using it, roughly half report no change in headcount and around one in twenty a reduction. What changes is the shape of the job: the sorting, re-keying and chasing move to software, and the judgement stays with people.
The short answer
AI is taking on admin tasks, not admin roles — and the evidence for that is better than most of what gets written about it. The Office for National Statistics now measures it directly. Among UK businesses using AI in June 2026, roughly half reported no change in headcount, and around one in twenty reported a reduction.
What changes is the shape of the job. The sorting, re-keying, booking and chasing move to software; the judgement, the exceptions and the relationships stay with the person. The businesses that get value from this plan for that change deliberately rather than hoping a tool will absorb a role.
Where AI use is heading
Adoption is rising quickly. The share of businesses with ten or more employees using at least one AI technology rose from 11.9% in late September 2023 to 34.9% in late June 2026 — almost three times its starting level, measured every quarter in between.
Source: Office for National Statistics, Artificial intelligence in UK businesses: 2023 to 2026 (July 2026), Business Insights and Conditions Survey. Open Government Licence v3.0.
Show the data
| Period | Businesses using AI |
|---|---|
| Sep 2023 | 11.9% |
| Dec 2023 | 11.8% |
| Mar 2024 | 13.8% |
| Jun 2024 | 14.8% |
| Sep 2024 | 17.8% |
| Dec 2024 | 18.2% |
| Mar 2025 | 20.6% |
| Jun 2025 | 25.1% |
| Sep 2025 | 27.2% |
| Dec 2025 | 28.7% |
| Mar 2026 | 32.1% |
| Jun 2026 | 34.9% |
That is a measured trend, not a forecast, and we have not extended the line. Its direction is clear enough: within a few years, using AI somewhere in the business will be ordinary rather than novel. The ONS also found that improving business operations is the most common reason businesses give for using it.

What the evidence says about jobs
The same ONS analysis asked businesses using AI what it had done to their headcount. Across every size band, no change was by far the most common answer, and reductions were reported by a small minority.
Source: Office for National Statistics, Artificial intelligence in UK businesses: 2023 to 2026 (July 2026), Business Insights and Conditions Survey. Open Government Licence v3.0. Remaining shares answered increased, not applicable or not sure.
Show the data
| No change | Reduced headcount | |
|---|---|---|
| 0 to 9 employees | 48.2% | 4.5% |
| 10 to 49 employees | 57.4% | 4.6% |
| 50 to 99 employees | 55.3% | 6.7% |
| 100 to 249 employees | 56.5% | 5.4% |
| 250 + employees | 47.8% | 5.9% |
Two details are worth reading carefully. First, the largest businesses were the most uncertain: over a third of those with 250 or more employees said they were not sure what effect AI had had, which suggests the effects take time to show. Second, the ONS found that businesses using AI specifically to improve operations were more likely to report reductions than those using it for other purposes only. Operations is where admin lives, so the honest answer is that some admin roles do shrink — but far fewer than headlines imply.

Which tasks move, and which stay
Tasks that move well
- Sorting incoming requests by type, urgency and owner.
- Re-keying the same details from one system into another — often plain automation, not AI at all.
- Booking and rescheduling against real availability.
- Chasing overdue replies, documents and signatures, on a schedule.
- Drafting routine summaries and first-draft replies for a person to check.
Tasks that stay with people
- Anything involving judgement, an exception, or a customer who is upset.
- Decisions with money, safety or legal weight attached.
- Knowing that this particular request is not what it looks like.
We explain the difference between the tools that do this in AI agents, AI employees and copilots.
The hours, in arithmetic
Take an illustrative full-time administrator on a 37.5-hour week who spends 27 hours on routine tasks. With the routine parts automated, the same work takes about 9.5 hours.
Illustrative inputs, not client data or survey figures. Totals: 27 hours today, 9.5 hours with automation.
Show the data
| Today | With automation | |
|---|---|---|
| Sorting the inbox | 6.0 hrs | 2.5 hrs |
| Data entry and re-keying | 8.0 hrs | 2.0 hrs |
| Booking and rescheduling | 4.0 hrs | 1.5 hrs |
| Chasing replies | 3.0 hrs | 1.0 hrs |
| Filing and finding documents | 3.0 hrs | 1.5 hrs |
| Reports and summaries | 3.0 hrs | 1.0 hrs |
That frees 17.5 hours a week. Multiply by 4.33 for a month (about 76 hours) and divide by 162.5, the hours in one UK full-time month (37.5 × 52 ÷ 12): about 0.47 of a full-time person. In most businesses those hours are worth more redeployed — to customers, exceptions and the backlog nobody gets to — than removed.
Replace every input with your own. Ask the person who does the job to log a fortnight of tasks; the method is in how many hours automation can save, and the CRM-specific version in how much time a CRM saves.

How to introduce it without losing good people
- Start with the people who do the work. Ask which tasks they would most like rid of. They know where the time goes.
- Move one task at a time, measure it, and keep the person checking the output until it has earned trust.
- Write down what the software may decide alone, what needs a person, and what it must never touch.
- Redeploy the hours on purpose. If nobody decides what the freed time is for, it evaporates.
- Keep a named person accountable and an audit trail of every automated action.

The honest conclusion
If you are hoping AI will let you remove an admin role outright, the evidence suggests most businesses do not end up there, and those that try often find the exceptions were the job. If you are hoping it will give your best administrator back a day or two a week for work that matters, that is realistic, measurable and increasingly common. For how we approach this, see AI employees and what AI employees are.
Frequently asked questions
Can AI replace admin staff?
It replaces tasks far more often than roles. Among UK businesses using AI in June 2026, the Office for National Statistics found that between 47.8% and 57.4% reported no change in headcount, depending on business size, and between 4.5% and 6.7% reported a reduction. The routine parts of admin, such as sorting, re-keying, booking and chasing, are what AI and automation take on. Judgement, exceptions and relationships stay with people.
How fast is AI use growing in UK businesses?
Quickly. According to the ONS, the share of businesses with 10 or more employees using at least one AI technology rose from 11.9% in late September 2023 to 34.9% in late June 2026, almost three times its starting level. That is a measured trend, not a forecast; the ONS does not project it forward.
Which admin tasks can AI take over?
The repetitive, rule-shaped ones: sorting incoming email and requests, copying information between systems, booking and rescheduling appointments, chasing replies, filing documents and drafting routine summaries. Many of these need plain automation rather than AI. AI earns its place where the input is messy, such as free-text emails or varied documents.
How many hours could automation free up in an admin role?
In an illustrative full-time administrator spending 27 of 37.5 weekly hours on routine tasks, automation could reduce that to around 9.5 hours, freeing about 17.5 hours a week, roughly 0.47 of a full-time person. Those hours are usually better redeployed to customer work and exceptions than removed. Measure your own task times before relying on any figure.
Should we tell staff we are introducing AI into admin work?
Yes, early and plainly. People do better work with an assistant they understand than one they fear. Explain which tasks are moving, what their role becomes, how mistakes will be caught, and who is accountable. Ask the people who do the work which tasks they would most like rid of; they usually know exactly where the time goes.