Top AI transformation drivers in the public sector
Domino2025-03-20 | 4 min read

As the public sector stands on the brink of an AI revolution, leaders must act swiftly to harness its transformative power. By embracing innovation and fostering collaboration, government agencies can unlock the full potential of AI to better serve citizens and tackle complex challenges. In this insightful webinar about AI success in the public sector, you’ll discover the most recent developments in AI adoption — and how government officials and public sector leaders are actively taking steps to meet the critical need for AI adoption in government agencies.
Priorities and key drivers
According to experts like Joel Meyer, Domino Data Lab’s President of Public Sector, Lieutenant General Jack Shanahan, Former United States Air Force and Former Director of Joint Artificial Intelligence Center, and Lauren Bedula, Managing Director of Technology and National Security Practice at Beacon Global Strategies, there is an imperative need to innovative AI concepts and organizational shifts for successful implementation. Here are a few examples of priorities and key drivers in order to achieve AI success:
- Responsible AI: It’s vital to have transparency, confidence levels, and proactive human oversight to ensure responsible AI use in order to achieve successful AI implementation. Risk management is critical for AI development and testing, specifically for weapon systems.
- Increased AI integration: Industry trends point to faster adoption expected in autonomous systems. Factors include policy changes, scaling pilot projects, and AI's geopolitical impact.
- Private and public sector partnerships: Partnerships are key drivers to AI's transformative power in government operations. Venture capitalism and private equity play a pivotal role in steering tech companies toward national security collaboration. The private sector's AI investments are shaping the future of innovation.
More AI adoption drivers to consider
- Gaining momentum through global AI advancements: Recent developments, including the French AI Action Summit and the UK's new AI strategy, highlight the global race for AI dominance. These strides have significant implications for the U.S. public sector.
- Maintaining U.S. leadership in AI: The geopolitical and geoeconomic importance of AI cannot be overstated. To maintain its edge, the U.S. must forge strategic alliances, empowering a united front against authoritarian regimes and solidifying its position as a global AI leader.
- Empowering AI leadership by shaping global dynamics: The U.S. embraces an innovative "America first" approach, focusing on AI adoption, national security, and economic leadership. Strategic partnerships like AUKUS and groundbreaking initiatives such as the Stargate project underscore the nation's commitment to technological advancement. As global competition intensifies, concerns arise about China's ambitious AI development and military applications. The race for AI supremacy becomes crucial in shaping international power dynamics, demanding strategic investments and alliances.
Next steps
AI continues to revolutionize the public sector, and undertaking responsible development and implementation strategies is more crucial than ever. As AI continues to evolve, its role in shaping future governance increases. To get the full insights, check out this webinar and hear these latest trends and key drivers from the experts themselves.
Domino Data Lab empowers the largest AI-driven enterprises to build and operate AI at scale. Domino’s Enterprise AI Platform provides an integrated experience encompassing model development, MLOps, collaboration, and governance. With Domino, global enterprises can develop better medicines, grow more productive crops, develop more competitive products, and more. Founded in 2013, Domino is backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, and other leading investors.