Fewer than one in three small businesses in the UK feel equipped to adopt artificial intelligence (AI), with a lack of training emerging as the biggest obstacle. A new survey of 500 SME leaders by the Institute of Coding found that just 29% of smaller firms are confident in using AI technologies—compared with 82% of medium-sized businesses. The figures highlight a growing divide, particularly affecting micro businesses and sole traders with limited resources or expertise.
More than half of SMEs identified insufficient internal skills and knowledge as their main barrier to adopting AI. While 51% believe AI will be critical to the future of commerce, only 12% have invested in staff training. Just 27% feel confident managing AI tools safely and effectively. Awareness of platforms such as ChatGPT and Otter.ai is widespread, but this has not translated into widespread adoption, with trust and strategic uncertainty also posing challenges.
The issue spans the wider SME sector. Separate reports show that 43% of firms have no plans to use AI, and only a quarter are currently doing so. Many businesses are calling for a national AI skills strategy that covers all job levels and company sizes. In the survey, 75% of respondents said they want clearer guidance on future AI skill requirements over the next three to five years.
A further gap exists between employer enthusiasm and workforce readiness. Nearly a quarter of employees have started using AI tools, yet 32% of non-users cite a lack of training and support. Meanwhile, 39% of employers encourage AI adoption—suggesting staff development has not kept pace with business interest.
Government initiatives such as the AI Opportunities Action Plan and the TechFirst programme aim to train 7.5 million workers by 2030. However, many SMEs feel these efforts are geared more towards large enterprises.
The Institute of Coding, led by the University of Bath, is seeking to close this gap through free, practical short courses to build AI confidence across all business levels. Its director, Professor Rachid Hourizi MBE, warned of a “two-tier business economy” if smaller firms continue to be left behind.
Additional hurdles include financial and bureaucratic barriers to hiring AI and digital apprentices. Despite a rise in digital apprenticeship enrolments, many SMEs believe better financial incentives could drive wider uptake—bolstering calls for more government support.
The research also reveals a gender confidence gap. Only 9% of female-led firms say they are fully confident using AI, compared with 26% of male-led businesses. The findings point to a need for more targeted support and training for underrepresented groups.
The widening adoption gap could have serious consequences for the UK economy. Small businesses form the backbone of local employment, and their exclusion from AI threatens to entrench regional and sectoral inequalities. While some larger SMEs are advancing with AI, many others risk falling further behind—missing out on gains in efficiency, innovation and growth.
The UK now stands at a crossroads in its AI journey. Government programmes and initiatives like those from the Institute of Coding offer a promising foundation, but inclusive, accessible training must remain the priority. Without it, many small firms may struggle to compete in an AI-driven economy.
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Noah Fact Check Pro
The draft above was created using the information available at the time the story first
emerged. We’ve since applied our fact-checking process to the final narrative, based on the criteria listed
below. The results are intended to help you assess the credibility of the piece and highlight any areas that may
warrant further investigation.
Freshness check
Score:
8
Notes:
The narrative presents recent data from a survey by the Institute of Coding, dated July 2025, indicating that only 12% of SMEs have invested in AI-related staff training. This aligns with findings from HRreview in April 2025, which reported that 90% of SMEs in England anticipate skill gaps by 2025, with 23% planning to train staff in AI or recruit candidates with relevant knowledge. ([hrreview.co.uk](https://hrreview.co.uk/hr-news/l-d-news/nine-in-10-smes-in-england-skill-gaps-in-2025/381547?utm_source=openai)) The report also highlights that 74% of SMEs plan to incorporate AI into their business functions during 2025, despite concerns about inaccuracy and knowledge gaps. ([hrreview.co.uk](https://hrreview.co.uk/hr-news/future-of-work-hr-news/ai-concerns-among-uk-smes/382175?utm_source=openai)) The inclusion of these recent statistics suggests that the narrative is fresh and not recycled. However, the report's focus on the Institute of Coding's survey may indicate a reliance on a single source, which could affect the diversity of perspectives. Additionally, the narrative mentions government initiatives like the AI Opportunities Action Plan and the TechFirst programme, aiming to train 7.5 million workers by 2030, which are recent developments. The mention of Professor Rachid Hourizi MBE and the Institute of Coding's efforts to bridge the AI skills gap adds credibility and timeliness to the report. Overall, the freshness score is high, but the reliance on a single source and the focus on specific initiatives may limit the breadth of information presented.
Quotes check
Score:
9
Notes:
The narrative includes direct quotes from Professor Rachid Hourizi MBE, Director of the Institute of Coding, emphasizing the risk of a "two-tier business economy" if micro businesses and sole traders remain excluded from AI's benefits. These quotes are not found in earlier material, indicating originality. The absence of identical quotes in previous publications suggests that the content is exclusive. However, variations in wording or paraphrasing in other sources could not be determined from the available information.
Source reliability
Score:
7
Notes:
The narrative originates from HR News, a UK-based publication focusing on human resources and business news. While HR News is a specialized outlet, it is not as widely recognized as major media organizations like the BBC or Reuters. The reliance on a single source, the Institute of Coding, for survey data may limit the diversity of perspectives. Additionally, the absence of verifiable information about the Institute of Coding's director, Professor Rachid Hourizi MBE, raises questions about the credibility of the source. Without verifiable records or a legitimate website, the mention of this individual cannot be fully substantiated. Therefore, the source reliability score is moderate.
Plausability check
Score:
8
Notes:
The narrative presents data indicating that only 12% of SMEs have invested in AI-related staff training, with 74% planning to incorporate AI into their business functions during 2025. These figures are consistent with findings from HRreview in April 2025, which reported that 90% of SMEs in England anticipate skill gaps by 2025, with 23% planning to train staff in AI or recruit candidates with relevant knowledge. ([hrreview.co.uk](https://hrreview.co.uk/hr-news/l-d-news/nine-in-10-smes-in-england-skill-gaps-in-2025/381547?utm_source=openai)) The report also highlights that 74% of SMEs plan to incorporate AI into their business functions during 2025, despite concerns about inaccuracy and knowledge gaps. ([hrreview.co.uk](https://hrreview.co.uk/hr-news/future-of-work-hr-news/ai-concerns-among-uk-smes/382175?utm_source=openai)) The inclusion of recent government initiatives like the AI Opportunities Action Plan and the TechFirst programme, aiming to train 7.5 million workers by 2030, adds credibility to the narrative. However, the reliance on a single source for survey data and the lack of verifiable information about the Institute of Coding's director may affect the overall plausibility.
Overall assessment
Verdict (FAIL, OPEN, PASS): OPEN
Confidence (LOW, MEDIUM, HIGH): MEDIUM
Summary:
The narrative presents recent data on the challenges SMEs face in adopting AI, highlighting significant skill gaps and the need for targeted training. While the content appears fresh and includes original quotes, the reliance on a single source for survey data and the lack of verifiable information about the Institute of Coding's director raise concerns about the diversity of perspectives and the credibility of the source. Therefore, the overall assessment is OPEN, with a medium level of confidence.