85% Have AI Access, Only 25% Actually Use It
Quick answer
The real AI adoption gap in UK SMEs is not about buying tools — it's about usage and value. 85% of staff have access to AI but only 25% use it regularly. This article explains the three gaps (access, usage, value) and gives practical steps to fix them.
IBM's 2026 CEO Study found 85% of employees have AI tool access but only 25% use it regularly. HBR says the adoption problem is really a management problem. Here's what UK SMEs should actually do.
I see this all the time with UK SMEs. The director buys everyone Copilot licences, or signs up for some shiny AI tool, sends round an email saying "we're now an AI-powered company," and then... nothing. Three months later, nobody's opened it. The licences are sitting there like gym memberships in January.
It's not that the tools are bad. It's that buying AI and using AI are completely different things.
The numbers are brutal
IBM's 2026 Global CEO Study found that 85% of employees now have access to at least one AI tool at work. But only about 25% use them regularly. That's not a technology gap. That's a "we bought it but nobody knows what to do with it" gap.
Harvard Business Review put it bluntly in their July 2026 roundtable: AI adoption is "often framed as a technology challenge, but its success depends just as much on how organisations redesign work, build trust, develop talent, and protect the quality of human judgment."
It's not an access problem. It's a management problem dressed as a technology problem.
And the US Census Bureau's data backs this up from another angle. Just under 20% of all US businesses are actually using AI in their operations. Among firms with fewer than 20 employees, that figure has been flat for six months. The smaller the company, the wider the gap.
Three gaps, not one
The research points to three separate gaps that everyone lumps together:
- The access gap — big companies have AI tools, small companies don't. This one's real but shrinking fast as costs drop.
- The usage gap — the tools are bought and deployed, but employees don't actually use them. This is where most UK SMEs are stuck right now.
- The value gap — the tools are used, but nothing measurable changed. No hours saved, no revenue moved, no line on the P&L.
Handing someone a licence closes the access gap and does absolutely nothing for the other two. Running a training session might close the usage gap and still leave the value gap wide open, because people can use a tool enthusiastically for work that never actually mattered.
The value gap is where the money's being wasted. BCG says only 6% of organisations generate meaningful EBIT from AI. That's the number that should keep directors awake.
What UK SMEs should actually do
Right, so how do you fix this? It's not complicated, but it takes a bit of discipline:
- Pick one workflow, not ten. Don't try to "roll out AI across the business." Choose one painful, repetitive process — invoice chasing, report formatting, customer follow-ups — and nail it. One win builds momentum. Ten half-finished pilots build nothing.
- Redesign the workflow around the tool. Don't just drop AI into the old process. Map out how the work should flow now that AI is involved, then change the process. BCG's research shows companies that redesign workflows see 3x the productivity gains compared to those that just bolt AI on.
- Measure the bloody thing. Before you start, write down how long the task takes. After 30 days, check if it's faster. If it's not, work out why and adjust. If you're not measuring, you're guessing.
The companies getting real value from AI aren't the ones spending the most. They're the ones who picked a specific problem, redesigned the work around it, and held people accountable for actually using the thing.
Buying licences doesn't make you an AI-powered company. Using them on work that matters does.
References & Further Reading
- Harvard Business Review, The Hidden Realities of AI Adoption (July 2026)
- IBM, 2026 Global CEO Study
- US Census Bureau, AI Use by Businesses: May 2026 Update
- BCG, AI Radar 2026: Corporate AI Spend Doubling, Only 6% Reach Maturity
Stuck in the AI usage gap?
I help UK SMEs pick the right AI workflows, redesign processes around them, and actually get measurable value — not just unused licences. Power Platform, data strategy, the lot.
Let's have a chatMatty Hatton is the founder of Digital Adaption, an ERP and data consultancy based on the Wirral. He has spent 15 years delivering ERP transformations for manufacturers, including leading the data migration on a £4.5m consolidation of four legacy systems onto a single Infor LN cloud instance for a 220-user group. He holds an MSc in Digital Transformation and IT Strategy from Manchester Metropolitan University and is Microsoft PL-200 certified.
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