The public sector organizations are boosting their interest in advanced technologies like artificial intelligence (AI). According to a recent report from the Capgemini Research Institute, “Data Foundations for Government – From AI Ambition to Execution”, two-thirds of public sector organizations are already exploring or utilizing generative AI (Gen AI) led solutions to enhance public service delivery. This trend highlights a remarkable shift in how government agencies are leveraging technology.
The Growing Embrace of AI As governments worldwide seek solutions to boost efficiency, improve service quality, and tackle complex societal challenges, AI is becoming central to their strategy. The report highlights that 90% of public sector organizations plan to explore, pilot, or implement agentic AI over the next two to three years. Specifically, 39% of organizations plan to evaluate the feasibility of agentic AI, while 45% look into pilot programs.
The report shows positivity about AI across various government levels and organizational sizes. Sectors like defense, healthcare, and security show even more readiness, with 82%, 75%, and 70%, respectively, piloting or exploring Gen AI-led solutions.
“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.”
The Data Challenge
While enthusiasm for AI is palpable, public sector executives face major hurdles that stall their AI adoption efforts. The report identifies key barriers, with data security issues (79%) and a limited trust in AI-generated outputs (74%) as primary concerns.
In the European Union, for example, only 36% feel prepared to comply with the stringent regulations outlined in the EU AI Act. Data readiness is another critical area where many organizations are falling short.
Currently, only 12% consider themselves very mature in their data activation efforts. Fewer (7%) claim maturity in developing data and AI-related skills. The lack of necessary data to train AI models is glaring; only 21% of organizations report having the requisite datasets for fine-tuning Gen AI models.
The Importance of Data Sharing
Data sharing is essential for the Government system with AI. Enhanced data sharing can increase the volume and diversity of data, which is essential for improving AI model performance and decision-making processes.
Despite the recognized importance of these initiatives, most public sector organizations (65%) remain in the early planning or pilot stages of their data sharing efforts. There’s promise in sight, however. The growing recognition of data’s critical role has led to an increasing number of organizations appointing Chief Data Officers (CDOs) and Chief AI Officers (CAIOs). 64% of government organizations have a CDO in place, while 24% plan to hire one in the near future.
What Lies Ahead? Looking forward, AI in the public sector holds transformative potential. However, governments must address data readiness and governance issues to realize this potential. Building strong data foundations will ensure data availability, accessibility, quality, and security.
In conclusion, the road to AI-enhanced public services is fraught with challenges, but it also presents immense opportunities for improvement.
