As political campaigns in the United States increasingly integrate artificial intelligence (AI) into their communications, the tools used—from social media feed algorithms to chatbots, voter profiling engines, sentiment analysis systems, and deepfake generators—are profoundly transforming how narratives are crafted and disseminated. This article surveys recent research on the strategic deployment of AI in U.S. elections and its effects on public discourse. The author review studies of social media algorithms that filter and personalize political content, the use of automated bots and chatbots to engage or mislead voters, and advanced voter profiling and microtargeting enabled by machine learning. She also considers analyses of generative technologies (large language models and synthetic media) used to produce persuasive messages. In each case, strategic advantages (such as hyper-personalized outreach and 24/7 voter engagement) must be weighed against ethical and societal concerns. These include privacy and surveillance risks, information integrity (misinformation and the “liar’s dividend”), algorithmic bias and echo chambers, and the challenge of regulating opaque AI-driven campaign tactics. The author concludes that while AI can streamline campaign operations and broaden outreach, it also poses grave challenges for democratic accountability.

AI, Political Campaigns, Narrative Shaping, Social Media Algorithms, Chatbots, Deepfakes, Sentiment Analysis, Disinformation, Political Communication, United States, Electoral Ethics.

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