Services
Explore
Free AI assessmentAnswer 15 questions about one process and see where AI could help.
Start an assessmentWill AI replace my employees? What changes and what you decide
AI changes which tasks people do. This guide looks at how that varies by role, what remains the employer's decision and how to involve your team.
The short answer
AI changes tasks, and roles change with them
AI can take on some tasks within a role, such as drafting, summarising and data entry, and that changes what the role involves. What a business does with the time this frees up is a decision for the employer. Involving staff, explaining the plan and providing training all affect how the change goes.
National headlines about AI and jobs describe effects across whole economies. In a single business, the effect depends on which tasks AI is used for, how much time they took and what the business decides to do next.
A job is made up of many tasks. AI can now do some of them, or produce drafts for a person to check. Others depend on judgement, relationships and accountability, which stay with people. Looking at a role task by task gives a clearer picture than asking whether the whole job is affected.
The decision
How recovered time is used is the employer's decision
When AI shortens a task, the business decides what happens to the time. It might go into other work, more customers, training or a change in staffing plans. Those decisions involve employment law, contracts and consultation duties, so take advice where they apply.
Whatever you decide, tell the people affected early and explain the reasons. Staff who understand the plan are better placed to test the tools, report problems and suggest improvements.
Role by role
Which tasks AI tends to affect in different roles
ImpactHigh task overlap
Scheduling, data entry, document processing and routine messages are tasks AI tools can often take on or speed up. Handling exceptions, checking output and coordinating people remain part of the work.
ImpactHigh task overlap
AI can produce first drafts, reformat and summarise content. Deciding what to say, keeping to the brand's voice and checking accuracy need a person.
ImpactRoutine queries
Routine questions, FAQs and sorting tickets can often be handled or drafted by AI. Complex, sensitive and high-value conversations need people.
ImpactPartial overlap
Research, drafting outreach and sorting enquiries can use AI. Building relationships, negotiating and agreeing terms depend on people.
ImpactLow task overlap
Judgement, managing relationships, culture and direction stay with people. AI can help gather and summarise information for those decisions.
Your team
How to involve your team
Ask your team which tasks take time and frustrate them. They know the work best and can point to the tasks worth testing.
Tell people what you are testing, why, and what it means for their work, before anything changes.
When a trial finishes, share what was measured and what you decided, including where the tool did not help.
Tools that people do not know how to use well tend to fall out of use. Allow time for training and for questions once the tool is in daily use.
Common questions
Questions about AI and your workforce
Should I tell my team we're looking at AI?
Yes, and early. Explain what you are looking at, which tasks are involved and how people will take part in testing. People who hear about a change late are more likely to resist it.
What if my team is worried about their jobs?
Take the concern seriously. Be clear about what you are testing and what you have and have not decided. Where staffing decisions could follow, take employment advice and follow the consultation steps that apply.
Has AI actually eliminated jobs in businesses like mine?
We cannot answer that in general. The effect in any business depends on which tasks AI takes on, how much of each role those tasks made up and the decisions the business makes about the time recovered.
Which roles should we involve in our AI rollout?
Start with the people closest to the process you are changing. They know where the work goes wrong and can judge whether the AI output is usable. Bring in other roles as the work affects them.
What skills should my team be developing?
Writing clear instructions for AI tools, checking output critically and knowing when not to rely on it are useful across many roles. Judgement, relationships and accountability remain part of most jobs.
Talk to us
Want help applying this to your business?
Bring the task that takes your team the most time. We reply within one working day.