Generative AI is already widespread in the public sector
Not on the map. Why?
Abstract (arXiv)
Generative AI has the potential to transform how public services are delivered by enhancing productivity and reducing time spent on bureaucracy. Furthermore, unlike other types of artificial intelligence, it is a technology that has quickly become widely available for bottom-up adoption: essentially anyone can decide to make use of it in their day to day work. But to what extent is generative AI already in use in the public sector? Our survey of 938 public service professionals within the UK (covering education, health, social work and emergency services) seeks to answer this question. We find that use of generative AI systems is already widespread: 45% of respondents were aware of generative AI usage within their area of work, while 22% actively use a generative AI system. Public sector professionals were positive about both current use of the technology and its potential to enhance their efficiency and reduce bureaucratic workload in the future. For example, those working in the NHS thought that time spent on bureaucracy could drop from 50% to 30% if generative AI was properly exploited, an equivalent of one day per week (an enormous potential impact). Our survey also found a high amount of trust (61%) around generative AI outputs, and a low fear of replacement (16%). While respondents were optimistic overall, areas of concern included feeling like the UK is missing out on opportunities to use AI to improve public services (76%), and only a minority of respondents (32%) felt like there was clear guidance on generative AI usage in their workplaces. In other words, it is clear that generative AI is already transforming the public sector, but uptake is happening in a disorganised fashion without clear guidelines. The UK's public sector urgently needs to develop more systematic methods for taking advantage of the technology.
Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). First posted on arXiv 2 Jan 2024.
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Citing papers per year: 2024: 3; 2025: 2; 2026: 5.
10 papers.
- 2024Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Datacited by 20
- 2024Generative AI Literacy: Twelve Defining Competenciescited by 13
- 2024AI for bureaucratic productivity: Measuring the potential of AI to help automate 143 million UK government transactionscited by 4
- 2025SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sectorcited by 2
- 2025Impact and Implications of Generative AI for Enterprise Architects in Agile Environments: A Systematic Literature Reviewcited by 0
- 2026Stability of AI Governance Systems: A Coupled Dynamics Model of Public Trust and Social Disruptionscited by 0
- 2026A Technical Typology of AI Systems in Public Administrationcited by 0
- 2026A Multimodal Reasoning Typology for Grounding Chart-Image Coherence in Science Communicationcited by 0
- 2026Why Public Service AI Governance Frameworks Risk Failing in the Age of General-Purpose AI: Lessons from Policingcited by 0
- 2026Who Delegates to AI? Evidence from Agent Configurations in Githubcited by 0
- 2026Who Delegates to AI? Evidence from Agent Configurations in Github19 Aug 2026
- 2026Why Public Service AI Governance Frameworks Risk Failing in the Age of General-Purpose AI: Lessons from Policing28 Jul 2026
- 2026A Multimodal Reasoning Typology for Grounding Chart-Image Coherence in Science Communication6 Jul 2026
- 2026A Technical Typology of AI Systems in Public Administration30 Jun 2026
- 2026Stability of AI Governance Systems: A Coupled Dynamics Model of Public Trust and Social Disruptions10 Mar 2026
- 2025Impact and Implications of Generative AI for Enterprise Architects in Agile Environments: A Systematic Literature Review24 Oct 2025
- 2025SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector15 Jan 2025
- 2024Generative AI Literacy: Twelve Defining Competencies29 Nov 2024
- 2024Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data19 Jun 2024
- 2024AI for bureaucratic productivity: Measuring the potential of AI to help automate 143 million UK government transactions18 Mar 2024