- 75% of British public sector bodies use Genai compared to 64% globally
- Defense, healthcare and security sectors use it most
- Orgs are looking for chief data and AI officers
According to new research from Capgemini, Britain could actually lead the AI adoption wave among European governments, where 75% of public sector organizations in the UK are exploring or actively working with Genai.
However, the same number of British public sector bodies are also concerned about generative AI’s environmental impacts, with even more concerned about data security and data sovereignty (78% each) and almost as many limited costs (68%).
Despite the remaining fears, the UK is still 11 percentage points ahead of the global average, with 64% of organizations in the public sector investigating or using Genai.
The British public sector leads in Genai -Reconciliation
Although the United Kingdom is currently ahead, it does not mean that the trend will not be challenged in the near future. As many as nine out of 10 global public orgs plan to explore, pilot or implement Agentic AI for the next two to three years.
With agentic AI marking of Tomorrow AI, Capgemini explored, where today’s AI, generative AI, most affects. Defense agencies (82%), healthcare (75%) and security sectors (70%) were among the highest adopters.
But with such strict data protection and security measures in place in the public sector, organizations are struggling to refine their own AI and are instead forced to use solutions off the shelf. Only one fifth (21%) says they have the necessary data to train and fine-tune AI models.
In addition, only 12% feel a lot of mature by activating data, and even fewer (7%) reports maturity in data and AI skills. Capgemini The public sectors of the global sector Marc Reinhardt summarized: “With rising citizen requirements and stretched resources, public sector organizations recognize the ways in which AI can help them do more with less.”
When we look ahead, 24% plan to designate a Chief data officer and 41% plan to introduce a Chief AI officer at the top of the 64% and 27% (respectively) that already have, bringing the number of public sector organs with CDOs and CAIOs up to 88% and 68%.
Highlighted the importance of “the right data infrastructure”, Reinhardt added: “Looking ahead, the governments can be more flexible and effective as AI increases government employees to buy information, conduct policy analysis, make decisions and answer citizen queries.”
