AI in Government: How the US Public Sector Is Adopting AI in 2026

AI in government is the application of artificial intelligence—software that performs tasks normally requiring human judgment—to public-sector work like benefits processing, permitting, fraud detection, and citizen support. It spans predictive machine learning, generative AI that drafts and summarizes, and automation that handles high-volume paperwork.

For agencies, the appeal is practical: do more with constrained staff and budgets, cut backlogs, and improve service without a massive new headcount. AI in government is one branch of the broader field of AI solutions for business, adapted to the public sector's unique mix of scale, regulation, and public accountability.

The US public sector is adopting AI rapidly, with federal agencies leading a sharp rise in documented use cases. According to the federal AI use case inventory, agencies reported more than 2,100 AI use cases across 41 agencies in 2024—roughly triple the about 710 reported in 2023. A Brookings analysis found that number climbed above 3,600 in 2025.

The most common categories tell you where the value is. According to the CIO Council, the top three are mission-enabling internal support, health and medical uses, and government services such as benefits and service delivery. In practice, that means AI chatbots answering citizen questions, models flagging improper payments, and tools that summarize documents for caseworkers.

Adoption is not the same as deployment, though. A 2025 Government Accountability Office (GAO) review found that many agency AI efforts stall in practice, held back by funding gaps, compute shortages, outdated policies, and workforce skills. The ideas are plentiful; the constraints are operational.

Modernizing government is hard because most of the IT budget is already spent keeping decades-old systems alive. This is the core tension behind AI in government: agencies want to innovate, but their money is locked up in maintenance.

The figures are stark. According to GAO, the federal government spends more than $100 billion a year on IT and cyber-related investments, and agencies have typically reported spending about 80% of that on operations and maintenance of existing systems—roughly $83 billion in fiscal year 2025 alone. That leaves little for modernization.

The systems themselves are old. GAO found that critical federal legacy systems ranged from about 8 to 51 years old, with some components more than 50 years old, running outdated programming languages and unsupported hardware. Of 10 critical systems GAO flagged for modernization in 2019, only three had been modernized as of February 2025. For public-sector leaders, this is the pain point in one sentence: pressure to modernize, with budgets already committed to the past.

The highest-value AI use cases in government cluster around service delivery, back-office efficiency, and program integrity. Each targets high-volume, repetitive work where small gains scale across millions of interactions.

Citizen-facing applications draw the most attention. Improving how residents access services applying for benefits, renewing licenses, getting answers in multiple languages is a major focus, and you can explore it further in our coverage of AI for citizen services. Behind the scenes, document-heavy processing is where many agencies find the fastest, least visible wins.

Agencies can adopt AI without big upfront budgets by climbing a ladder where early savings fund later stages. We call this the Public-Sector AI Ladder, and it directly answers the budget trap: instead of waiting for a modernization windfall, you start with efficiency wins that pay for the next step.

The logic is deliberate. Tier 1 automation processing forms, clearing case backlogs needs little capital and produces measurable savings quickly. Those savings and the credibility they earn make Tier 2 citizen-service projects easier to justify. By Tier 3, AI itself becomes a modernization tool, helping agencies understand and migrate the aging code that consumes their budgets. You climb the ladder in order because each rung funds the next.

Agencies use AI responsibly by governing it classifying high-risk uses, keeping humans in the loop, and disclosing how AI is used. Because government decisions affect people's rights and benefits, the bar for transparency and fairness is higher than in the private sector.

Federal policy reflects this. Office of Management and Budget (OMB) guidance now requires agencies to identify AI use cases that are "rights-impacting" or "safety-impacting" and apply extra risk-management practices; agencies flagged hundreds of such uses in the 2024 inventory. Getting this right through testing, documentation, and oversight is the foundation of responsible AI in government, and it's what keeps public trust intact as adoption grows.

JBS (Jaffer Business Systems) brings enterprise AI capabilities that map directly onto the public sector's biggest constraints: document-heavy processes and aging systems. With 100+ AI implementations across 46+ enterprise customers in 12+ countries and 30 AI specialists, JBS focuses on production deployments rather than pilots.

The most relevant capability is document intelligence. Government runs on paperwork applications, records, and benefits forms and JBS's Doculytics product extracts data from documents with 92%+ accuracy, a natural fit for the Tier 1 automation wins that fund modernization. JBS builds with a security posture aligned to standards like NIST and SOC 2. Public-sector teams exploring where to begin can learn about JBS's enterprise AI services.

AI in government is accelerating, but the surge in use cases collides with a hard reality: most public-sector budgets are locked into maintaining decades-old legacy systems. The agencies that succeed will start with self-funding efficiency wins, expand into citizen services, and use AI itself to modernize—climbing the ladder one rung at a time. To see where the highest-value automation opportunities lie for your organization, explore JBS's enterprise AI capabilities for the public sector.