OpenAI’s ChatGPT has emerged as the clear favorite artificial intelligence tool for the U.S. Congress, according to a report from CNBC based on House disbursement records. During the year ending March 31, 2026, OpenAI received roughly 90% of all AI-specific spending by House offices, committees, and institutional accounts.
Out of at least $113,740 in total AI spending, Congress spent $100,580 across 798 transactions on #ChatGPT. Anthropic’s Claude trailed in second place, securing $13,160 across 37 transactions. The data also revealed partisan differences: Democratic offices accounted for $54,165 in AI purchases, more than three times the $15,782 spent by Republican offices.
These figures exclude free tiers and AI capabilities bundled into broader enterprise software contracts. Congressional staffers are actively deploying these LLMs to write memos, summarize and analyze legislation, respond to constituents, prepare hearing materials, sort through policy research, and draft social media posts.
[AgentUpdate Depth Analysis] The U.S. House's overwhelming preference for ChatGPT highlights a pivotal moment in public sector LLM adoption. While #OpenAI holds a near-monopoly on direct purchases, the real story lies in the workflow transformation. The tasks described—summarizing bills, answering letters, and policy research—are prime candidates for multi-agent systems rather than basic chat interfaces. As government workflows demand rigorous auditability, data privacy, and factual accuracy, the reliance on single-turn LLM tools will likely mature into enterprise-grade AI Agents with built-in Retrieval-Augmented Generation (RAG) and secure local hosting. This trend will accelerate the demand for agentic frameworks that can orchestrate complex, policy-specific workflows while complying with strict federal security standards, representing a major growth vertical for specialized enterprise AI Agent platforms.
