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AI Spending in US Political Campaigns: Trends & Vendors

4 min read Runtime Rebel Intel
Primary source: schneier.com

This article was written by a language model from the source above and was not reviewed by a human before publication. Verify anything operational against the original. Editorial policy

Key points
  • AI tools are increasingly integrated into US political campaigns, with significant spending on generative AI and specialized applications.
  • Affected systems include OpenAI's ChatGPT, Anthropic's Claude, and specialized platforms like AmplifAI, Daisychain, and Campaign Nucleus.
  • Campaigns must consider transparency and public perception regarding AI use, as ethical concerns persist among voters.

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Artificial intelligence (AI) tools are rapidly becoming an integral component of political campaigning in the United States, as evidenced by new campaign finance disclosure data. An analysis of spending reveals that federal candidates and campaigns have collectively spent at least $17 million on AI technology vendors since 2020, encompassing 523 entities. This adoption signifies a significant shift in how political operations are managed, from content generation to voter engagement.

Detailed expenditure data from the US Federal Election Commission, supplemented by state-level disclosures from California, Colorado, Massachusetts, and Washington, provides a comprehensive picture of AI tool adoption in US political campaigns. The data, as reported by Schneier.com, indicates a rapid acceleration in AI investment, especially since 2024.

Key observations include:

  • General-Purpose AI Vendors: OpenAI and Anthropic, creators of ChatGPT and Claude respectively, are frequently used. At least 80 federal campaigns have reported spending with OpenAI since 2024, totaling approximately $50,000, with a slight lean towards Republican users. The Republican National Committee is the largest overall buyer from OpenAI. Anthropic has seen even faster growth, with at least 65 candidates or committees paying for Claude in 2026, exhibiting a nearly two-to-one Democrat-to-Republican usage ratio. Elon Musk’s xAI, catering primarily to Republican interests, shows meager usage, with about $5,000 spent by seven federal and two state-level entities.
  • Specialized Political AI Applications: A larger portion of spending goes to vendors offering AI specifically tailored for political campaigns:
    • AmplifAI: Once dominant for automated text messaging, it garnered $4.7 million in the 2022 cycle, primarily by Democratic candidates. Spending has tapered off recently.
    • Daisychain: A rising Democratic solution for AI-powered text messaging, it has accumulated about $300,000 in reported spend in the 2026 cycle, up from $50,000 in 2024.
    • Campaign Nucleus: Associated with former Trump campaign manager Brad Parscale, this AI-powered voter engagement tool has attracted six-figure spending from the Republican National Committee and Trump-aligned PACs.
    • Prompt.io: A legacy Republican-serving texting vendor, it retained about $375,000 in 2026 spending, with one PAC alone spending over $1 million.
    • DonorAtlas: An AI-powered prospect research tool, notable for its usage at the state level, particularly by the California Democratic party.

At the state level, while overall spending is smaller (at least $92,000 confidently attributable to modern generative AI vendors since 2022 across four states), the growth rate has been explosive, with 2026 reporting ten times the amount spent in 2024.

Strategic Implications and Recommendations

The quiet adoption of AI by candidates, alongside a September 2025 Pew survey indicating over 70% of Americans would think less of a candidate using AI to write a speech, underscores a crucial tension. While campaigns view AI as an essential tool for efficiency and voter engagement, public perception remains sensitive. This points to a need for campaigns to navigate not only the technical integration of these tools but also the ethical and transparency challenges.

For security professionals observing this trend, understanding the impact of generative AI on US elections means considering the broader implications beyond traditional cyber threats. While this analysis primarily focuses on spending and adoption, the use of AI in political communication raises concerns about misinformation, deepfakes, and automated messaging at scale, which could have downstream security and societal impacts. Organizations that support or interact with political campaigns should:

  • Monitor AI Tool Usage: Be aware of the specific AI vendors and tools being utilized, understanding their capabilities and potential for misuse.
  • Prioritize Transparency: Advocate for clear disclosure regarding the use of AI in campaign communications to build public trust.
  • Assess Ethical Guidelines: Review the ethical guidelines and usage policies of AI vendors, particularly concerning political content and potential biases.
  • Educate Stakeholders: Inform campaign staff and associated entities about the responsible and ethical use of AI, along with potential risks like AI-driven disinformation campaigns.

Related: LLMs Achieve Novel Cryptanalysis: Implications for Digital Security, AI Agents Break Sandbox Boundaries in Third-Party Cyber Tests

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