At a time when much of the conversation around artificial intelligence (AI) focuses on long-term disruption and uncertain returns, small businesses are already proving how AI can deliver measurable value today.
SMEs are uniquely positioned to benefit from AI adoption. Unlike larger organisations, smaller firms can implement new tools quickly, test their effectiveness and adapt without lengthy approval processes. AI is also democratising access to expertise, enabling businesses to tap into advanced capabilities such as data analysis, workflow automation and marketing support that may once have been beyond reach
I see this first-hand at Circle Recycling, where we use AI and automation to streamline purchase-order tracking, report generation and compliance management. I also see it across my wider peer network. At the Goldman Sachs 10,000 Small Businesses UK ‘AI for Growth’ Summit, 98% of participating businesses reported already using AI, while 72% said they had achieved productivity improvements.
Those results reflect a broader trend. The businesses making the greatest progress with AI are not simply investing in technology; they are investing in people, skills and practical use cases. Former prime minister Rishi Sunak described the current landscape as a “race for everyday AI”. For SMEs, which account for 99% of the UK business population, success in that race will depend on how effectively leaders turn AI potential into operational value.
Invest in skills from the top down
Business leaders often feel pressure to have all the answers when it comes to AI. Yet the most effective approach is usually curiosity rather than certainty. Leaders who take time to understand the technology are better equipped to identify meaningful opportunities, assess risk and make informed decisions about adoption.
Training is critical. By investing in AI education, leaders can develop clearer strategies, evaluate tools more effectively and have informed conversations with employees and customers. Without that understanding, businesses risk layering expensive technology onto inefficient processes.
Position AI as an assistant, not a threat
Successful AI adoption depends as much on people as technology. Employees naturally have concerns about how AI could affect their roles. If organisations fail to communicate clearly, uncertainty can undermine trust and engagement.
Businesses seeing the strongest results are involving employees in shaping how AI is deployed. By focusing on specialised training and automating repetitive tasks, leaders can position AI as a tool that supports employees rather than replaces them. At Circle Recycling, we worked with technology partners to design automation tools that reduce manual administration, freeing teams to focus on customer relationships and growth-focused work.
Solve one problem at a time
One of the biggest barriers to AI adoption is the sheer number of potential applications. For many SME leaders, the challenge is not finding opportunities but knowing where to begin.
The most effective strategy is often to focus on a single operational bottleneck. At Circle Recycling, we initially targeted subcontractor management, creating automated processes for onboarding, compliance checks and document management. The result was improved efficiency, better customer service and a scalable foundation for future growth.
Putting AI to work
The future of AI in small business will not be defined by technology alone. It will be shaped by leaders who invest in skills, bring employees on the journey and focus on solving real business problems.
For SMEs looking to compete in an increasingly digital economy, the opportunity is clear: start with education, identify a genuine challenge and use AI to create practical value. Those that do will be best placed to turn AI adoption into lasting business growth.
