The response so far has been extraordinary. We’ve been genuinely delighted with the volume of participation, and as a result we’re now taking time to reply to every single respondent with individual insights, reflections and guidance. The conversations emerging from those follow-up emails have revealed something important: SMEs are not short on interest, or even experimentation, but they are wrestling with deeper questions about value, direction and readiness.
This month, I want to share some of the themes emerging from those responses and the thousands of words of honest, reflective commentary business leaders have offered us. There is a story unfolding across the UK SME landscape – one of ambition, hesitation, experimentation and, above all, the desire to get AI right.
The SME reality: a landscape of mixed maturity
One of the clearest patterns emerging from the survey is the sheer diversity of AI maturity. Some respondents describe AI as “embedded in all our operations”, with tools in finance, marketing, project management and even bespoke internal software. Others are still in what I call the pre-strategy phase: exploring tools, running small pilots, or experimenting in isolated pockets of the business without an overarching plan. Both ends of the spectrum are well represented.
But what’s particularly telling is that many SMEs fall somewhere in the middle. They are using tools like ChatGPT, Microsoft Copilot, Canva, project management assistants and finance platforms, yet the adoption is fragmented. Different teams are adopting tools independently, without a shared understanding of what good practice looks like, or how to balance efficiency gains with issues like data privacy, governance and long-term value.
This fragmentation isn’t a sign of failure. It’s a natural stage of progress. But it does create a risk: organisations begin to adopt AI without really adopting AI strategically.
The most universal challenge: cost versus value perception
Across sectors, from manufacturing to creative industries to professional services, leaders consistently raised the same concern: how do we know whether the investment will be worth it?
This is where the conversation becomes more nuanced. A surprising number of respondents said they have “nothing planned” in terms of AI investment for the next 12 months. Others expect to invest substantially – ranging from £50K up to £1m – yet still describe significant uncertainty around return on investment.
Cost versus value perception has become the defining barrier for SMEs. It isn’t resistance to AI itself; it’s resistance to unclear outcomes. Leaders want to make smart decisions. They want clarity. But without a strategic framework, evaluating value becomes guesswork. And guesswork is rarely compatible with responsible investment.
What’s encouraging is that many businesses also recognise the flipside: the biggest returns from AI are typically not found in new tools but in clarity, simplification and the removal of friction, waste and duplication. The most common benefits respondents hope for – saving time, boosting efficiency, enhancing customer experience and improving decision-making – are all achievable, but only with structure.
Choosing the right tools: overwhelming, not obvious
Another theme that appeared repeatedly in survey responses is the overwhelm surrounding tool selection. Leaders told us they feel pressured to “try everything”, that there are too many options, and that every piece of software now claims to be “AI-powered”. Others expressed hesitancy around privacy, data handling or a lack of transparency in how the tools work.
This reflects what I see every day when working with clients: selecting the right tool is rarely the first problem they should solve, yet it’s often the first one they try to solve. The real challenges usually lie elsewhere – lack of strategic clarity, unclear processes, limited data readiness, or uncertainty about how AI will support specific goals. In that context, choosing a tool feels deceptively simple. But without a clear strategy, tool selection becomes a maze of options and noise. With clarity, however, the decision process becomes straightforward, tools become purposeful rather than distracting.
Interestingly, even leaders who are confident with digital systems, including those who build their own models or experiment with automation, spoke about the practical time cost of evaluating new technologies. Many told us they needed a decision-making framework, not another product demonstration.
Competitiveness: a rising concern, even for confident adopters
Another pattern I’ve noticed is a shift in how leaders perceive competitiveness. Some believe their competitors are moving faster with AI, while others feel grounded and confident that their pace is right. What’s important here is not who is objectively “ahead”, but the growing awareness that competitive advantage will increasingly hinge on how effectively AI is used, not whether AI is used at all.
For many respondents, the biggest risk isn’t that competitors will adopt more tools, but that they will adopt AI more coherently: through leadership alignment, structured pilots, staff training and long-term planning. Those who treat AI as a strategic asset rather than a tactical experiment will set the pace over the next five years.
A growing appetite for structured support
One of the most encouraging insights from the survey has been the types of support leaders are asking for. Many respondents selected tailored strategy design, practical Board workshops, pilot planning, staff upskilling and ongoing advisory support. These choices reveal a growing understanding that AI transformation is not about technology first but leadership, culture and capability.
Across responses, the strongest appetite is for clarity – clarity on where AI fits, how to prioritise and how to embed good governance without slowing down innovation. This echoes what we’ve been hearing from Boards all year: leadership teams want to accelerate adoption, but they want to do it safely, ethically and confidently.
The bigger message: SMEs want to use AI – but they don’t want to get it wrong
For all the differences in sector, size and maturity, one message has been consistent: business leaders are not afraid of AI. They’re afraid of wasted time, wasted money and wasted potential. They want to use AI with purpose. They want to upskill their teams, not confuse them. They want clarity, not hype. And above all, they want to integrate AI in ways that strengthen, not disrupt, their business foundations.
This is why readiness matters. Not readiness in the sense of being “advanced”, but readiness in the sense of being aligned, intentional and future focused. It is this mindset that will separate those who harness AI for growth, resilience and competitiveness from those who remain stuck in experimentation mode.
Final thought
As the survey continues, I’m reminded daily that SMEs are not passive in the AI conversation. They are thoughtful, curious and determined to adopt AI well. And while the national picture remains mixed, the appetite for clarity, strategy and responsible adoption is stronger than ever.
I want to recognise the generosity of every leader who has taken the time to share their insights. The conversations we are having personalised, detailed and reflective are shaping a much clearer picture of what UK SMEs truly need from AI in 2026 and beyond.
This article comes from Alcea Consulting, the UK consultancy specialising in AI strategy and hands-on training that empowers SME teams to use AI successfully.
