Everyone is talking about AI. Every conference, every podcast, every LinkedIn feed. And in most small to medium businesses, something is already happening, just not in any deliberate or joined-up way.
Staff members are drafting emails, summarising documents, building policies, reviewing spreadsheets and preparing presentations. Often on their own devices, with their own accounts or subscriptions, without any guidance or oversight. It’s happening by stealth, under the radar, and it’s happening right now.
Leaders, it’s time to tune in…
The risk of doing nothing is not neutral
When organisations don’t take a position on AI, they’re still making a decision. They’re choosing unmanaged risk. For smaller businesses, that risk is real. Confidential information might be uploaded into public tools. Intellectual property could be exposed. Errors and bias might creep into decisions that affect your people. And productivity gains (where they’re happening) are likely uneven, benefiting only those confident enough to experiment on their own or in their own time.
There’s also a cultural risk that’s easy to overlook. When people feel they have to hide the way they work, trust erodes. Anxiety grows, especially when no one is saying what AI means for jobs, roles or career paths. Silence isn’t reassurance. It’s just silence.
The productivity paradox
Research from Atlassian’s State of Teams report, which surveyed over 12,000 knowledge workers and 170 executives, found that while 89% of executives say AI has increased the speed of work, only 6% feel confident they can point to specific, organisation-wide examples of AI return on investment.
AI is making individuals faster. But it isn’t automatically making teams work better together.
Meetings still pile up. Handoffs still get missed. Everyone is working hard, but in slightly different directions. As AI accelerates individual output, the challenge becomes coordinating all of that output. Unless you deliberately redesign how your team works together, there’s a built-in ceiling on what AI alone can achieve.
For SMEs, this plays out in a particular way. Without a shared approach, you end up with pockets of AI use that don’t connect and a widening gap between those who are using it well and those who aren’t.
The human skills that matter more, not less
There’s a temptation to think that as AI takes on more tasks, the human side of work becomes less important. The evidence points the other way though. The World Economic Forum’s Future of Jobs report identifies analytical thinking as the most important workforce skill globally, with creative thinking not far behind. These aren’t skills AI replaces, they’re the skills that determine whether AI is used well or poorly.
There’s also a growing body of research suggesting that over-reliance on AI tools, without deliberate effort to preserve critical thinking, can quietly erode the capabilities organisations have spent years building. The ability to evaluate, question, make judgement calls, communicate with nuance - these don’t develop automatically. They have to be exercised.
Where to start
If you’re a people leader trying to work out where to begin, the good news is that it doesn’t require a transformation program. It requires a position and a process.
Start by acknowledging what’s already happening. AI use in your business is not a future question, it’s a current one. The question is no longer whether to engage with AI - it is about how you engage with it, and how you empower your team to do the same. Understanding how your people are already using it, and where the gaps and risks sit, is the first step.
From there, a few foundations matter most:
It starts at the top. Leadership needs to align on how the business wants to approach AI - the opportunities, the tools, and the direction. That clarity is what everything else flows from.
Empower your people. From there, it’s about giving them access to the right tools, the training to use them well, and the confidence to experiment and build AI into how they work and their workflows every day.
Set a clear policy. A clear policy on AI use - what is permitted, what is encouraged, and what tools are able to be engaged and not - will remove the guesswork and allow people to move forward with confidence rather than caution.
Invest in the human skills. A deliberate investment into preserving the human skills that matter, embedding critical thinking and judgement, helping your team understand not just how to use AI, but how to get the most out of it. This will create efficiencies so that the business genuinely benefits from what these tools allow us to do when they free up our time.
The window is now
The businesses that navigate this well won’t necessarily be the ones with the most sophisticated AI tools, but they will hold a competitive advantage. They’ll be the ones that brought their people along, built the right guardrails, and stayed deliberate about what makes their workforce valuable.
That’s a people experience and culture question as much as a technology one.
At Zest People Solutions, we work with businesses to think through the human side of AI adoption - from policy and governance through to the capability frameworks and conversations that make it land well. We’re also learning from the brilliant Kate Russell at hum(ai)n, bringing together deep expertise in both the human and AI sides of this shift. Together, we can help businesses identify the skills their people need to develop in an AI-first world - so they stay valuable, adaptable, and confident - while building AI meaningfully into how work actually gets done.
Get in touch with the team to start the conversation.