Capgemini SE Press contact: Antara Nandy Tel.: +91 9674515119 Email: [email protected] Nine in ten public sector organizations to focus on agentic AI in the next 2-3 years, but data readiness is still a challenge Public sector organizations recognize the potential of AI for enhancing decision making, improving service delivery and driving operational efficiency, with two-thirds (64%) already exploring or actively working on Gen AI initiatives Challenges with data readiness remain, with only 21% of public sector organizations saying they have the requisite data to train and fine-tune AI models Paris, May 20, 2025 – The new CapgeminiResearch Institute report published today, ‘Data foundations for government – From AI ambition to execution,’ finds that two thirds of public sector organizations are already exploring or actively using generative AI (Gen AI) initiatives to aid the provision of public services. Public sector organizations are also preparing to embrace agentic AI, with 90% planning to explore, pilot, or implement the technology within the next 2-3 years. However, these organizations lag in crucial data readiness, hindering their ability to leverage the full potential of AI. Currently, they face significant challenges with trust, compliance, data management and data sharing. With governments seeking to boost efficiency, improve public services, and address complex societal challenges, public sector organizations have high expectations for AI. According to the new report, within the next 2-3 years, 39% of public sector organizations aim to evaluate the feasibility of agentic AI, 45% intend to explore pilot programs, and 6% plan to scale their existing agentic AI initiatives. Attitudes towards agentic AI adoption are mostly consistent across segments, levels of government, and organizational sizes. The report finds that nearly two-thirds (64%) of organizations have progressed to pilots and scaled deployments, or are exploring Gen AI, with this number rising to 82% in defense agencies, 75% in healthcare, and 70% in security. “With rising citizen demands and stretched resources, public sector organizations recognize the ways in which AI can help them do more with less. However, the ability to deploy Gen AI and agentic AI depends on having rock-solid data foundations,” said Marc Reinhardt, Public Sector Global Industry Leader at Capgemini. “Looking ahead, governments can be more agile and effective as AI augments the work of government employees to source information, conduct policy analysis, make decisions, and answer citizen queries. However, to reach this future, governments need to focus on building the right data infrastructure and governance frameworks.” Story Continues Organizations struggle with AI adoption due to data and trust issues Despite ambitions to embrace and scale AI use, public sector executives cite data security issues (79%) and limited trust in AI-generated outputs (74%) as primary barriers to widespread adoption. In the EU, organizations report a significant gap in confidence when it comes to complying with the EU AI Act1, with less than four in ten (36%) prepared to meet these requirements. To progress their Gen AI adoption, public sector organizations require better data mastery, with the public sector showing limited progress in key areas of data management and utilization since 2020. The report finds that only 12% of organizations consider themselves very mature in activating data, while 7% report being very mature in nurturing data and AI-related skills. Only a fifth (21%) of public sector organizations surveyed have the required data to train and fine-tune AI models, including Gen AI models. Data sharing concerns and the rise of the Chief Data Officer Data sharing is vital for AI adoption as it boosts the volume and diversity of data to enhance AI model performance and optimize decision making. But data sharing initiatives are further complicated by concerns about data, cloud, and AI sovereignty. Despite all public sector organizations surveyed either having or planning to have data sharing initiatives, they are not yet mature; most organizations (65%) worldwide are still in the planning or pilot stages. Governments are increasingly recognizing the critical role of harnessing data in the public sector, and this is reflected in the growing prominence of Chief Data Officers (CDO) and Chief AI Officers (CAIO). As many as 64% of public sector organizations already have a CDO, while 24% plan to appoint one, showing a willingness to invest in dedicated leadership for data-driven governance. Furthermore, the increasing strategic value of AI has resulted in over a quarter (27%) of public sector organizations appointing a Chief AI Officer, over a quarter (27%) already having one and 41% planning to introduce this new C-level role. Report Methodology In December 2024 and January 2025, the Capgemini Research Institute conducted a survey of executives from 350 public sector organizations with two respondents from each organization – one from the IT/data function and one from a line of business (LOB). These executives represented organizations across six public sector segments: public administration, tax and customs, welfare, defense, security, and healthcare. They operated at various levels of government, including national, state, local, and international, and were located in countries across North America, Europe, APAC, and the Middle East. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. Get The Future You Want | www.capgemini.com About the Capgemini Research Institute The Capgemini Research Institute is Capgemini’s in-house think-tank on all things digital. The Institute publishes research on the impact of digital technologies on large traditional businesses. The team draws on the worldwide network of Capgemini experts and works closely with academic and technology partners. The Institute has dedicated research centers in India, Singapore, the United Kingdom and the United States. It was ranked #1 in the world for the quality of its research by independent analysts for six consecutive times - an industry first. Visit us at https://www.capgemini.com/researchinstitute/ 1AI Act | Shaping Europe’s digital future Attachments 05_20_Capgemini news alert_ Data and AI in Government CRI report CRI_Data and AI in government_Infographic_19052025_3 View Comments
Nine in ten public sector organizations to focus on agentic AI in the next 2-3 years, but data readiness is still a challenge
You are reading a free article with opinions that may differ from the recommendation given by Kalkine in its paid research reports. Become a Kalkine member today to get access to our research reports, in-depth technical and fundamental research. Learn more
Start Your Free Trial Now!Download Free Report – Explore 3 Stock Ideas & Industry Insights
Unlock 3 stock ideas and key industry insights in our free report. This information is general in nature and does not consider your personal objectives, financial situation, or needs. It is not financial advice.
All investments involve risk—consider independent advice before making any investment decisions.
View 3 Research ReportsThis information, including any data, is sourced from Unicorn Data Services SAS, trading as EOD Historical Data (“EODHD”) on ‘as is’ basis, using their API. The information and data provided on this page, as well as via the API, are not guaranteed to be real-time or accurate. In some cases, the data may include analyst ratings or recommendations sourced through the EODHD API, which are intended solely for general informational purposes.
This information does not consider your personal objectives, financial situation, or needs. Kalkine does not assume any responsibility for any trading losses you might incur as a result of using this information, data, or any analyst rating or recommendation provided. Kalkine will not accept any liability for any loss or damage resulting from reliance on the information, including but not limited to data, quotes, charts, analyst ratings, recommendations, and buy/sell signals sourced via the API.
Please be fully informed about the risks and costs associated with trading in the financial markets, as it is one of the riskiest forms of investment. Kalkine does not provide any warranties regarding the information on this page, including, without limitation, warranties of merchantability or fitness for a particular purpose or use.
Please wait processing your request...