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Trust Is the Deciding Factor for Government AI Impact

Data and AI Impact Report: The Trust Imperative for Government

New research shows AI delivers results in government only when trust keeps pace with adoption.

This government‑focused report spotlights results from the global Data and AI Impact Report and their applicability to the public sector environments, where trust, not speed, determines AI impact and scale.

New research shows AI delivers results in government only when trust keeps pace with adoption.

This government‑focused report spotlights results from the global Data and AI Impact Report and their applicability to the public sector environments, where trust, not speed, determines AI impact and scale.

Why Speed Without Trust Limits Government AI Impact

Government expectations for AI investment growth are high:

of government respondents expect to increase AI investment

Yet this acceleration is outpacing foundational readiness. The research identifies consistent barriers limiting AI’s impact in the public sector:

   

cite data foundations that
are not optimized

   

report a lack of
data governance

   

lack specialized AI
technology personnel

   

face a shortage of
skilled employees

These challenges are systemic across regions and levels of government.

AI Adoption Is Accelerating Faster Than Trust

As adoption accelerates, the gap between trust and trustworthiness becomes more visible.

Only 6% of government entities operate in an ideal state—combining high trust with trustworthy AI. Meanwhile, 46% fall into underutilization (low trust in reliable AI) or overreliance (high trust in unproven AI). Just 14% operate at the highest level of the Trustworthy AI Index.

In government, where accountability and public confidence are essential, untrusted AI directly constrains positive impact and scale.

What Drives AI Impact in Government

Consistent with the global findings, the government‑specific results show that AI value is driven by alignment, not acceleration.

Organizations that prioritize governance, explainability and optimized data foundations are significantly more likely to realize meaningful outcomes, including:

  • Greater confidence in AI‑driven decisions
  • Stronger transparency and accountability
  • Improved organizational effectiveness and process efficiency
  • Readiness for advanced AI, including agentic and quantum capabilities

Cost savings alone do not transform government operations. Trust is the differentiator that enables AI to scale responsibly and deliver lasting 
public benefit.

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Explore the Research

This report is part of the cross-industry Data and AI Impact Report series, which examines AI adoption, trust and benefit creation across industries and regions. The government edition focuses specifically on how these dynamics play out in public sector environments.

FAQ

Q: What is this report about?

A government‑focused analysis from the global Data and AI Impact Report, examining how public sector organizations adopt AI, where trust gaps exist, and what drives real AI impact for government.

Q: Who should read it?

Government leaders, policymakers, and data and AI professionals responsible for AI strategy, governance or implementation.