AI is no longer a future consideration – it’s a present priority. And small and mid-sized businesses (SMBs) are wasting no time. Without the red tape and legacy systems of larger corporations, SMBs have moved quickly to test incorporating tools like ChatGPT into their daily workflows.
But here’s the problem: early adoption doesn’t necessarily equal long-term impact.
Too many businesses are experimenting without execution. They’ve opened the door to AI but haven’t built the infrastructure or culture to make it stick. And that’s the real threat – not a lack of innovation, but a failure to consistently embed it meaningfully.
SMBs are ready to run, here’s how to get them out of the starting blocks
We’ve reached a tipping point. Every day, we speak to SMB business leaders across sectors, and there’s no shortage of enthusiasm for AI. What’s missing in some cases is the capability to turn ambition into results.
SMBs tell us they’re confident using AI, but too few are deploying it beyond isolated pilots. The challenge isn’t mindset. It’s skills, systems, and scale.
According to TeamViewer’s latest AI Opportunity Report, 95% of UK SMB leaders say they still need more training to use AI effectively. And yet, nearly three-quarters say they’re AI experts. That confidence-capability gap is real and risky.
It’s not just about training. It’s about readiness. Both in terms of the technology but also giving teams the space to try, fail and learn as part of building confidence with AI. Leaders are comfortable saying yes to AI use outside IT, but in reality, only 16% of SMBs report weekly usage across their business. And that limited adoption will cost them, not just in missed innovation, but in rising operational costs due to slow processes.
Overconfidence is the hidden blocker
While many SMB leaders believe they’re making strong progress on AI, there’s still a clear gap between ambition and readiness. For example, 77% of SMBs say they wouldn’t bet a week’s salary on their organisation’s ability to manage unauthorised AI tool usage. That stat doesn’t signal failure—it highlights awareness. And awareness is a valuable starting point.
But this disconnect is where momentum can stall. Because when businesses believe they’re further along than they are, they delay the very investment that would help them scale safely.
There’s a myth that only tech giants can afford to go big on AI. But in reality, SMBs are better positioned to act quickly, if they focus on the fundamentals. Namely, getting the right tools in the right hands; offering accessible training for non-technical staff; building workflows that integrate AI, not just test it.
Stop chasing tools, start designing outcomes
AI isn’t a box to tick. It’s a lens to rethink how we work. The businesses that win won’t be the ones with the most tools; they’ll be the ones with the clearest vision of how to use them.
So, rather than chasing the next prompt hack, SMB leaders should be asking: where can AI eliminate repeatable tasks? Where are we relying on manual processes that AI could simplify? What insights are we missing that AI could uncover in real time?
This isn’t about cutting jobs. It’s about supercharging people, encouraging them to focus on the work that drives growth.
Execution beats experimentation
The good news? Momentum isn’t slowing. Three-quarters of SMB leaders say they’ll increase their AI investment over the next year. To maximise this, investment must shift from tools to outcomes.
We need to stop treating AI like an experiment and start treating it like a core business function, like finance, HR, or operations. That means giving it proper budget, leadership, and accountability.
It also means getting comfortable with imperfection. AI isn’t plug-and-play. It’s a muscle you build, not a switch you flip. The faster SMBs start exercising it across teams – not just in isolated pilots – the faster they’ll see real returns.
A final word
SMBs have everything they need to lead in AI: speed, flexibility, and ambition. To avoid being overtaken, they should shift their focus from hype to habit.
The next wave of AI success won’t be won by the loudest adopters. It’ll be won by those who commit to embedding AI in how they operate, not just in what they explore.
The opportunity is here. It’s up to SMBs to seize it.
