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St Andrews Research Finds AI Could Boost SME Productivity by 133%

Thom Carter

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university of st andrews ai productivity
“Our findings are quite emphatic and show a clear-cut productivity premium for SMEs who adopt AI,” said Professor Brown.

Artificial intelligence has a significant positive impact on productivity levels for small and medium enterprises (SMEs) compared to non-adopters, new research from the University of St Andrews has found.

Professor Ross Brown, who led the study and is from the university’s Business School, suggests that adopting AI results in productivity gains of between 27% and 133%.

The research drew upon the largest small business survey in the UK, the Longitudinal Small Business Survey (LSBS), a large and well-known panel dataset conducted by the Department for Business and Trade.

The survey interviews just under 10,000 UK SMEs and follows a stratified random sampling design to ensure representativeness by region, sector, and firm size.

Other results show that, in terms of those benefitting from AI, it is firms with lowest productivity levels which are most likely to adopt AI technologies.

Additionally, the benefits from AI adoption are sector specific, with service sector firms—such as catering and hospitality—particularly prominent among the beneficiaries of AI.


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“Our findings are quite emphatic and show a clear-cut productivity premium for SMEs who adopt AI,” said Professor Brown.

“Given the UK Government’s mantra about raising productivity levels, increasing AI adoption could potentially play a pivotal role at addressing the endemic problem of weak productivity in poorly performing SMEs.

“AI potentially offers SMEs “short cuts” that are easy to yield quick productivity “wins” – such as planning staff rotas and reducing food wastage in a small restaurant – but are relatively inexpensive and easy to enact.”

The University of St Andrews study was funded by the Economic and Social Research Council (ESRC), and undertaken in collaboration with Oxford Brookes University.

Thom Carter

Staff Writer, DIGIT

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