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.rpr-body{grid-template-columns:1fr;gap:56px} .rpr-aside{position:static} .rpr-mobile-cta{display:block;margin-top:28px} } @media (max-width:700px){ .rpr-wrap{padding:0 20px} .rpr-hero{padding:56px 0 48px} .rpr h1{font-size:40px} .rpr h2{font-size:27px} .rpr-waffle{padding:22px} .rpr-waffle__num{font-size:56px} .rpr-dots{gap:3px} .rpr-body{padding-top:56px} .rpr-main>section{margin-bottom:80px} .rpr-findings li{grid-template-columns:1fr;gap:8px} .rpr-facts{grid-template-columns:1fr} .rpr-chart{padding:22px 18px 18px} .rpr-bars li{grid-template-columns:1fr;gap:6px} .rpr-step{height:180px} .rpr-legend{grid-template-columns:1fr} .rpr-cite{flex-direction:column} } </style> <script type="application/ld+json"> {"@context":"https://schema.org","@type":"Report","name":"AI in Political Content and Campaigns 2026 Report","headline":"AI in Political Content and Campaigns 2026 Report","description":"An analysis of 481 incidents of AI-generated media involving politicians, governments and elections from November 1, 2025 to October 14, 2026. 69% of political disinformation couldn't be traced to its original source.","datePublished":"2026-10-30","url":"https://www.resemble.ai/resources/2026-political-deepfake-report","author":{"@type":"Organization","name":"Resemble AI","url":"https://www.resemble.ai"},"publisher":{"@type":"Organization","name":"Resemble AI","url":"https://www.resemble.ai"},"about":["Deepfakes","AI-generated media","Elections","Political disinformation"],"temporalCoverage":"2025-11-01/2026-10-14"} </script> <div class="rpr"> <header class="rpr-hero"> <div class="rpr-wrap rpr-hero__grid"> <div> <p class="rpr-kicker">Resemble AI report, October 2026</p> <h1>AI in Political Content and Campaigns 2026</h1> <p class="rpr-lede">We tracked 481 incidents of AI-generated media involving politicians, governments and elections over almost a year. Most of the fakes made to deceive voters can't be traced back to whoever made them.</p> <div class="rpr-actions"> <a class="rpr-btn" href="#get-report">Get the full report</a> <a class="rpr-textlink" href="#findings">Read the key findings</a> </div> </div> <figure class="rpr-waffle"> <div class="rpr-waffle__stat"> <span class="rpr-waffle__num">69%</span> <span class="rpr-waffle__label">of political disinformation couldn't be traced to its original source</span> </div> <div class="rpr-dots" id="rpr-dots" role="img" aria-label="276 dots, one for each disinformation incident. 190 are highlighted because no creator or first sharer was identified."></div> <div class="rpr-key"><span class="k-on">No identifiable source (190)</span><span>Source known (86)</span></div> <figcaption>Each dot is one disinformation incident, November 2025 to October 2026. Untraceable fakes made up 40% of all 481 incidents.</figcaption> </figure> </div> </header> <div class="rpr-wrap rpr-body"> <main class="rpr-main"> <section id="findings"> <h2>What else the data shows</h2> <ul class="rpr-findings"> <li><b>49</b><span>countries had politicians or citizens targeted by untraceable disinformation.<small>India (38) and the US (33) saw the most.</small></span></li> <li><b>Nearly 5x</b><span>more incidents a month from May 2026 onward.<small>About 70 a month, against about 15 a month before.</small></span></li> <li><b>1.5 a day</b><span>AI attacks on candidates in the final 30 days before a vote.<small>More than double the rate of 0.7 a day earlier in the cycle.</small></span></li> <li><b>48%</b><span>of AI attacks were posted by campaigns, PACs and government accounts.<small>98 of 206 incidents made to attack or discredit someone.</small></span></li> <li><b>27%</b><span>of AI posts from those accounts carried the poster's own AI label.<small>21 of 79 posts.</small></span></li> </ul> <div class="rpr-mobile-cta"><a class="rpr-btn" href="#get-report">Get the full report</a></div> </section> <section> <h2>How we built the dataset</h2> <p class="rpr-p">Each incident started from news coverage or a public post and counts confirmed or suspected AI use in content from a politician, or about a candidate, election or issue. Incidents are dated to when the media first appeared, not when it was reported.</p> <dl class="rpr-facts"> <div><dt>Incidents</dt><dd>481, each verified as a unique incident</dd></div> <div><dt>Window</dt><dd>Nov 1, 2025 to Oct 14, 2026</dd></div> <div><dt>Sources</dt><dd>Resemble AI's Deepfake Incident Database plus a targeted search</dd></div> </dl> </section> <section> <p class="rpr-sec">Who posted it</p> <h2>Most political deepfakes can't be traced to the source</h2> <p class="rpr-p">We sorted 276 disinformation incidents by who first posted the media. For 190 of them, coverage named no creator and we couldn't find the original poster. Politicians and campaigns were the largest known source, with 33.</p> <figure class="rpr-chart" style="margin-left:0;margin-right:0"> <h3>Disinformation incidents by who first posted the media (276 total)</h3> <ul class="rpr-bars"> <li class="hl"><span>Unknown poster</span><span class="track"><span class="fill" style="width:78%"></span><span class="val">190 (69%)</span></span></li> <li><span>Politician or campaign</span><span class="track"><span class="fill" style="width:13.5%"></span><span class="val">33 (12%)</span></span></li> <li><span>Foreign state actor</span><span class="track"><span class="fill" style="width:8.6%"></span><span class="val">21 (8%)</span></span></li> <li><span>Private individual</span><span class="track"><span class="fill" style="width:6.2%"></span><span class="val">15 (5%)</span></span></li> <li><span>Government account</span><span class="track"><span class="fill" style="width:3.7%"></span><span class="val">9 (3%)</span></span></li> <li><span>PAC or advocacy group</span><span class="track"><span class="fill" style="width:3.3%"></span><span class="val">8 (3%)</span></span></li> </ul> <p class="rpr-note">Disinformation means AI media presented as real. Unknown poster means no creator or first sharer was identified in coverage.</p> </figure> <p class="rpr-callout"><strong>When nobody can be identified, nobody can be held to account.</strong> There's no account to report and no clear source behind the content, and posts can reach tens of millions of views before they come down.</p> </section> <section> <p class="rpr-sec">Election timing</p> <h2>Attacks on candidates more than double in the final month before a vote</h2> <p class="rpr-p">We measured each AI attack by how many days were left until the target's next election. More than 30 days out, attacks averaged 0.7 a day. In the final 30 days, that rose to 1.5 a day.</p> <figure class="rpr-chart" style="margin-left:0;margin-right:0" role="img" aria-label="Attacks per day: 0.7 from 91 to 180 days out, 0.7 from 31 to 90 days out, and 1.5 in the last 30 days before an election."> <h3>AI attack or discredit incidents per day, by days until the target's next election</h3> <div class="rpr-step"> <div class="rpr-yax" aria-hidden="true"><span style="bottom:0">0</span><span style="bottom:25%">0.5</span><span style="bottom:50%">1.0</span><span style="bottom:75%">1.5</span><span style="bottom:100%">2.0</span></div> <div class="w1"></div><div class="w2"></div><div class="w3"></div> <span class="eday" aria-hidden="true"></span> </div> <div class="rpr-xax" aria-hidden="true"><span style="left:0;transform:none">180 days</span><span style="left:50%">90</span><span style="left:83.33%">30</span><span style="left:100%">Election day</span></div> <div class="rpr-legend"> <div><b>0.7 a day</b>91 to 180 days out, 67 attacks</div> <div><b>0.7 a day</b>31 to 90 days out, 44 attacks</div> <div><b>1.5 a day</b>Last 30 days, 46 attacks</div> </div> <p class="rpr-note">Attacks counted in each window, divided by the number of days in that window. Based on 157 attacks with an election within 180 days.</p> </figure> <p class="rpr-callout"><strong>The last month is when attacks peak and corrections have the least time to work.</strong> Campaigns heading into the final 30 days before a vote should expect more AI attacks, not fewer.</p> </section> <section> <h2>Inside the full report</h2> <p class="rpr-p">16 pages, with every figure traced back to how it was calculated.</p> <ul class="rpr-inside"> <li><svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" aria-hidden="true"><rect x="4" y="11" width="16" height="10" rx="2"/><path d="M8 11V7a4 4 0 0 1 8 0v4"/></svg><div><b>The full category breakdown</b><span>All 481 incidents split by integrity class, goal and source</span></div></li> <li><svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" aria-hidden="true"><rect x="4" y="11" width="16" height="10" rx="2"/><path d="M8 11V7a4 4 0 0 1 8 0v4"/></svg><div><b>Where untraceable fakes landed</b><span>The top nine countries and a map of all 49</span></div></li> <li><svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" aria-hidden="true"><rect x="4" y="11" width="16" height="10" rx="2"/><path d="M8 11V7a4 4 0 0 1 8 0v4"/></svg><div><b>Volume by month</b><span>The jump in May 2026 and why it held through September</span></div></li> <li><svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" aria-hidden="true"><rect x="4" y="11" width="16" height="10" rx="2"/><path d="M8 11V7a4 4 0 0 1 8 0v4"/></svg><div><b>Who made the attacks, and who labeled them</b><span>Campaigns, PACs and government accounts against everyone else</span></div></li> <li><svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" aria-hidden="true"><rect x="4" y="11" width="16" height="10" rx="2"/><path d="M8 11V7a4 4 0 0 1 8 0v4"/></svg><div><b>Special report: AI posts from Donald Trump's own accounts</b><span>30 posts in a year, by month, subject and goal</span></div></li> <li><svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" aria-hidden="true"><rect x="4" y="11" width="16" height="10" rx="2"/><path d="M8 11V7a4 4 0 0 1 8 0v4"/></svg><div><b>A viral image, scanned by Resemble Detect</b><span>What Detect found, and what watermarks did and didn't show</span></div></li> <li><svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" aria-hidden="true"><rect x="4" y="11" width="16" height="10" rx="2"/><path d="M8 11V7a4 4 0 0 1 8 0v4"/></svg><div><b>Methodology appendix</b><span>What each number measures and what it's a share of</span></div></li> </ul> </section> <section> <h2>Cite this report</h2> <p class="rpr-p">Journalists and researchers are welcome to use these figures with attribution.</p> <div class="rpr-cite"> <p id="rpr-cite-text">Resemble AI. (2026). <em>AI in Political Content and Campaigns 2026 Report.</em> https://www.resemble.ai/resources/2026-political-deepfake-report</p> <button class="rpr-copy" type="button" data-copy="rpr-cite-text">Copy citation</button> </div> </section> </main> <aside class="rpr-aside" id="get-report"> <div class="rpr-card"> <div class="rpr-cover"> <img class="rpr-cover__img" width="84" height="109" alt="Cover of the AI in Political Content and Campaigns 2026 Report" 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"> <p>16-page PDF<br>481 incidents, 49 countries</p> </div> <h2>Get the full report</h2> <p class="rpr-p">Enter your details and we'll email you the PDF.</p> <!-- 2026 Political Deepfake Report form, in-page embed so the styles below apply. 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Nov 2, 2026
AI in Political Content and Campaigns 2026 Report
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