AI Won’t Replace Your Team, But It Will Change What Good Performance Looks Like
If you run or work in a small business, you’ve probably had at least one conversation this year that sounded like:
“Will AI replace our jobs?”
“Is this going to make people redundant?”
“Should we be worried?”
And the honest answer, according to the latest CIPD research is:
Not really. But the way work works is changing. Fast.
Where SMEs do need to focus isn’t job replacement.
It’s capability.
It’s the shift in how people think, decide, collaborate, filter information and solve problems, because that’s the part AI changes most.
AI is affecting every job, but not in the way the headlines say
The CIPD report shows something fascinating:
The jobs most exposed to AI are the professional ones, not the routine ones.
In places like London, exposure reaches nearly 36%, simply because of the concentration of roles involving analysis, judgement, decision-making and information-heavy tasks.
But this is the important bit:
Exposure doesn’t mean replacement.
It means augmentation, AI taking the repetitive bits, and humans doing the bits that require intelligence, creativity, nuance, empathy and judgement.
The International Labour Organization even found that most jobs are only partly exposed, meaning AI is more likely to support people than substitute them.
This is good news for SMEs.
It means you don’t need to worry about jobs disappearing overnight.
But you do need to worry about whether your team has the skills to work with AI, not compete against it.
The tasks we do at work are already shifting
Right now, according to the World Economic Forum data used in the report:
45% of tasks are done mainly by people
22% mainly by technology
33% through human–tech collaboration
By 2030, these will be near-equal.
We’re heading towards a workplace where humans, AI and automation do roughly the same share of work.
That means performance is no longer measured only by “doing the task”, but by how well a person:
interprets information
makes decisions
communicates with clarity
adapts to technology
applies critical thinking
solves the right problem, not just the first problem they see
These are the real differentiators now.
So what actually changes for SMEs?
Here’s the short version:
You will need fewer people who can “follow the steps”
…and more people who can “think through the steps”.
AI can automate a checklist.
It can’t lead, collaborate, sense-check, prioritise or interpret nuance.
Those are human skills.
The report highlights rapid growth in demand for:
AI literacy and digital confidence
Analytical and critical thinking
Creative problem-solving
Leadership, coordination and interpersonal skills
Adaptability and resilience
Frankly, it’s everything SMEs have been begging for already.
Not because they were thinking about AI…
…but because modern work has become too complex to rely on task-doers alone.
The uncomfortable truth: AI highlights your existing skill gaps
If you’ve ever thought:
“Why does everything have to be explained twice?”
“Why can’t people prioritise properly?”
“Why does the same issue keep happening?”
AI doesn’t fix those problems.
It puts a spotlight on them.
Because once the repetitive tasks are automated, what remains requires:
judgement
initiative
collaboration
communication
critical thinking
If your team doesn’t have these now, AI won’t magically create them, but it will make the gap more visible.
So what does ‘good performance’ look like in an AI-enabled SME?
Here’s the shift:
1. From following instructions to navigating ambiguity
Information will be plentiful, not scarce. The skill is choosing the right information, not gathering it.
2. From “doing the work” to “improving the work”
If AI does 20–40% of the task, people must add value by refining, evaluating, checking and solving.
3. From technical-only to hybrid skills
The most valuable employees will be the ones who can blend technical tools with human judgement.
4. From experience-led to adaptability-led
Changes will be constant. People who can flex will thrive.
How SMEs can prepare without overhauling everything
You don’t need a digital transformation plan with a 200-page slide deck.
You need consistent capability-building baked into your everyday work.
1. Build AI confidence early in onboarding
Show new hires:
what tools you use
where AI supports their role
how to sense-check outputs
how to make judgement calls
2. Teach thinking, not tasks
Give your team scenarios:
“What would you do next? Why?”
This builds the judgement AI can’t replicate.
3. Make learning bite-sized and regular
Nobody has time for long courses.
But everyone has time for a 5-minute skill nudge.
4. Strengthen communication and problem-solving skills
These are becoming the currency of performance.
Reward them. Develop them. Expect them.
Want to know whether your current training actually develops these skills?
AI isn’t the threat.
Underdeveloped capability is.
If you want to quickly assess whether your onboarding, training or internal knowledge supports these future skills…
👉 Take the free Learning Impact Scorecard
In under 2 minutes, you’ll see exactly where your strengths are and the gaps AI will expose first.
Or, if you want to uncover hidden skills, boost engagement, and build stronger, more capable teams, even when budgets are tight and time is short, check out our SkillSmart micro-learning for managers.
Build the skills your team needs for the next decade, not the last one.

