UK businesses could be losing billions in unrealised productivity gains and wasted operational spend due to inefficient and unstructured use of artificial intelligence, according to Crispin Read, Founder of The Coders Guild.
Despite a surge in interest, new analysis suggests that poor strategy, lack of training, and widespread “shadow AI” usage are limiting the technology’s impact – and in some cases actively harming businesses.
Recent data shows that 33% of UK employers express interest in AI training yet only 11% have delivered any form of AI training in the past 12 months. Among SMEs, the figure drops even further, with fewer than 12% investing in structured AI training.
This means roughly two-thirds of interested businesses are failing to take action, creating what experts are calling a “curiosity-to-commitment gap.”
At the same time, demand signals are rising sharply. Searches for “AI business automation” have increased by up to 600% year-on-year, while searches for “AI training for business” and “AI courses for managers” continue to climb. Despite this, formal training uptake remains largely unchanged.
Yet Crispin Read warns that the real issue isn’t lack of adoption – but misuse. He says:
“Without clear strategy or training, many organisations are relying on free, off-the-shelf AI tools with little oversight or integration into business processes. As a result, teams are spending increasing amounts of time validating unreliable outputs, often duplicating work across departments and making decisions based on AI-generated responses that haven’t been properly scrutinised.”
At the same time, businesses are exposing themselves to unnecessary data security and compliance risks, while missing significant opportunities to automate routine work and improve efficiency – undermining the very benefits AI is supposed to deliver.
Based on conservative modelling, if just 25% of the UK’s 5.5 million businesses are using AI inefficiently, and each loses an average of £5,000-£10,000 annually.
The total cost to the UK economy could exceed £6.8 billion to £13.7 billion per year.
This figure does not include longer-term losses such as reduced competitiveness and slower innovation.
Research also suggests early adopters of well-implemented AI could achieve a 30-40% productivity advantage by 2028.
However, without structured capability building:
60% of firms report employees lack adequate AI training
Only 34% of leadership teams feel confident identifying AI opportunities
Fewer than 30% of small businesses feel confident implementing AI
This signals a critical issue: the barrier is not interest, but capability – especially at leadership level.
One of the most pressing risks is the rapid growth of informal AI usage across organisations.
Crispin Read comments:
“The shadow AI finding is the one I’d pay most attention to. Employees already use AI tools informally, without any training framework or policy behind it. That’s not a future risk – it’s already happening in most organisations. And businesses often don’t realise until something goes wrong with a client’s data, or a decision gets made on the back of an output nobody’s thought to question. That’s a governance gap more than a technology gap, and it’s one structured training can actually close.”
A key finding is that executive confidence – not employee appetite – is holding back progress.
“Only a third of senior leadership teams feel confident identifying AI opportunities – that’s the number that explains all the others. You can’t commission the right training if you don’t understand the problem. You can’t ask the right questions of your suppliers, or your tech team, or the vendors trying to sell you tools. AI literacy at leadership level isn’t a nice-to-have – it’s what determines whether anything else gets done.”