A new government-backed report released in June 2025 estimates that generative artificial intelligence (AI) could support approximately 41% of public sector work time in Great Britain, with the greatest potential seen in administrative and routine tasks. The report, “Mapping the Potential: Generative AI and Public Sector Work,” was developed by a cross-sector partnership involving The Alan Turing Institute, the Office for National Statistics, and the Department for Transport.
Drawing on data from the Office for National Statistics’ Public Sector Time Use Survey, the study coded 91 work activities—grouped into 20 categories—based on their suitability for generative AI tools such as ChatGPT. The analysis considered task complexity, interpersonal requirements, and error sensitivity, assigning each activity an “AI exposure” score between 0 and 1. These scores were then aggregated to identify which sectors and roles could most benefit from AI augmentation.
While the average across the public sector was 41%, exposure varied significantly by field. Education topped the list at 49%, followed by administrative-heavy roles in central departments. The healthcare sector showed a lower figure of 33%, largely due to the high levels of interpersonal and context-sensitive work.
The report also distinguished between frontline and non-frontline workers. Frontline workers, who make up a significant portion of the public workforce, were found to spend 38% of their time on tasks that AI could support, compared to 47% for non-frontline roles. Tasks with the highest AI potential included email drafting, document preparation, and data analysis—areas where tools like generative AI chatbots are already gaining traction.
However, the report emphasizes that AI is more likely to augment than replace human work. It underscores that generative AI systems still require human oversight, especially in tasks involving nuance or policy judgment.
The findings support the UK government’s phased “Scan, Pilot, Scale” strategy for AI adoption, first laid out in the January 2025 AI Opportunities Action Plan. The report also calls for continued mapping, pilot projects, and collaboration across government, academia, and industry to guide responsible and strategic AI integration.
Though the report did not assess financial costs or long-term impacts, it lays important groundwork for targeted, evidence-based deployment of generative AI in the public sector.
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