Six months ago, an AI-generated video circulated on social media
showing Tamil Nadu’s first chief minister C N Annadurai ‘urging’
actor-politician Vijay to lead with his iconic line “thambi vaa, thalaimai
yerka vaa” (come brother, take the lead). The clip of the late politician was
among the first widely reported uses of generative AI in Tamil Nadu ahead of
the 2026 Assembly election. Within hours, it drew criticism and questions of
ethics from rival parties; this immediate political response that set the pattern
for how AI would enter state politics.
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color:black'>DMK, which traces its ideological lineage to Annadurai, responded
within a day through its IT wing by releasing an AI-assisted video invoking
Periyar and Annadurai, which was amplified by party functionaries accusing
rivals of appropriating Dravidian legacy using AI. “This made it clear that the
problem was with what the video showed, not with the use of AI itself. That
exchange showed how AI had moved from being a fringe experiment to a normal
campaign tool,” says political observer R Chandrasekaran.
color:black'>That episode became a turning point. “Parties realised AI could
turn a single speech or image into multiple social media posts far faster than
the WhatsApp messages, posters and manually edited videos they had relied on
earlier,” he says.
color:black'>In the following weeks, AI-assisted video production became
routine across parties. Short clips with automated subtitles, AI-generated
backgrounds and music began appearing on the official handles of DMK, AIADMK
and BJP’s Tamil Nadu unit.
While BJP’s Tamil Nadu unit mostly adapted centrally produced AI
content for Tamil audiences by replacing national leaders with local faces,
AIADMK relied on animated videos such as its viral ‘Uruttu Kadai’ halwa clip
accusing the DMK of unfulfilled promises. DMK countered with videos titled
‘Pathu Tholvi Palaniswami’, targeting EPS over repeated defeats. “Once a party
releases a provocative AI clip, we have to quickly respond with similar content
to avoid falling behind online,” says Kovai Sathyan, AIADMK’s IT wing state
president.
Things got murkier when AI use went beyond campaign messaging.
Deepfake videos of leaders prancing around in comic settings began to
proliferate. “This soon gave way to more serious misuse, with obscene and
defamatory deepfake images and videos targeting leaders from various parties.
Clips pasted faces onto explicit imagery or created fake audio meant to
embarrass leaders,” says R Gopinath, a political science academic.
Parties then began to file police complaints. Police have made
arrests in some cases, but tracing creators is often difficult as the content
is made using easily available tools such as Stable Diffusion for images,
ElevenLabs for audio, and Reface or DeepFaceLab for deepfake videos, often from
outside the country, say party insiders.
But with parties now using AI for more than just sledging,
analysts say this could be the first full campaign cycle in the state where it
plays a central role rather than remaining a novelty. DMK has announced an
AI-enabled portal to collect and sort public suggestions for its 2026
manifesto. “AI is also being used to read data points of different populations
and translate them into marketing and communication. We can replicate speeches,
send personalised calls, and automate WhatsApp videos for specific occasions
such as birthdays and anniversaries,” says Jai Pratap, director of political
consultancy firm Political Edge, who has worked on multiple campaigns for
prominent parties in Tamil Nadu.
Jai says AI is increasingly becoming the “think tank” behind
campaigns. “Earlier, you needed teams brainstorming ideas for days. Now, you
prompt and get multiple campaign ideas instantly,” he says. For example, Jai
says, when one of the political parties wanted to mobilise the youth in
Chennai, AI asked them the economic, social, and cultural perspectives of the
location they aimed to target. “It designed a campaign which worked towards
addressing the issues people faced in this particular area.” In another
instance, Jai says, when AI was tasked with designing a campaign for an MLA
candidate, it produced a strategy centred on exploiting the sitting MLA’s
administrative shortcomings. “It drew up a detailed list of strengths and
weaknesses, based on multiple reports, that the current MLA was perceived as
unapproachable and inaccessible to the public. AI then suggested building the
campaign around positioning our candidate as someone the public could rely on.”
Political Edge is also testing AI filters on Instagram and
Facebook that let party workers and supporters easily share photos and videos
with party symbols and messages. “If I create one filter with the party flag
and message, and have consent from one lakh cadre accounts, a central system
can post the content at scale,” he says.
Divyendra Singh Jadaoun, founder of The Indian Deepfakes, says the
evolution has been rapid. His company has developed AI software for many
political campaigns, including AI voice-cloned calling systems that allow
two-way communication with voters. “Voters get a call that sounds like the
political candidate who is contesting in the elections, and it listens to their
concerns and responds in real time,” he says. The data is also saved into a
system that allows analysts to present their views and issues to the candidate
to refine their strategies continuously. Jai says that recently, a political
consultant from Chennai approached his firm for a similar system that will soon
kick off.
In Andhra Pradesh, Jadaoun’s firm created an AI avatar of Y S
Rajasekhara Reddy that could “talk” to people in real time, while a similar
conversational avatar was built for the President of Suriname in 2025. But key
campaign decisions still depend on traditional surveys, field workers and
booth-level feedback, with AI tools discussed but not yet trusted for major
decisions,” say strategists, primarily because local factors such as caste
equations, neighbourhood issues and personal influence are hard for off-the-shelf
AI tools to capture. Also, parties worry that voter data, especially after the
Special Intensive Revision (SIR) exercise, remains incomplete or outdated. “For
now, parties see this technology as something that boosts their work, not
replaces organisation on the ground. This gap may narrow before 2026,” says a
DMK war room staffer.
“Experiences elsewhere show where the use of AI could head,” says
D Raj, who has worked with political consultancy firms. “AI-generated robocalls
mimicking Joe Biden’s voice were used in the 2024 US elections. Similarly, in
Tamil Nadu, parties could move from one-way IVRS (recorded voice) calls to
interactive voice systems in leaders’ voices that answer voter questions.”
AI tools can be used to understand voter behaviour, as the
Democratic National Committee (DNC) did in the US with Matchbook to identify
persuadable voters and OpenField to track campus canvassing, adds Raj.
(with inputs by Yazhiniyan)
“Detection of fakes has become difficult,” says Divyendra Singh
Jadaoun, founder of The Indian Deepfakes. “What once took days and significant
resources can now be created in minutes for under five dollars, largely due to
open-source tools. These videos are hyper-realistic. Sometimes I get confused
whether it’s real or not.”
Jai Pratap, director of political consultancy firm Political Edge,
says regulation and detection systems are lagging behind innovation. “We always
use a watermark so people know it’s AI-generated. We don’t give these tools and
software to the parties, because it can be misused. If you prompt it to
blackmail or clone an opposition leader’s voice, it may do that,” says Jadoun.
Jai says a few parties also make requests involving pornographic
content and impersonation of rivals. “We refuse. Our focus is image
enhancement, not manipulation.”
Tools parties use to make AI videos- Runway – video generation, background replacement
- Adobe Firefly – AI visuals, text-to-image posters
- Descript – voice editing, subtitles, audio sync
- CapCut (AI features) – reels, music, rapid edits
- Canva AI – quick posters, social media creatives
Cost of a fake| Tool name | Used for | cost range (₹) |
| DeepFaceLab | face-swapped deepfake videos | free–₹0 |
| Reface | mobile face-swap videos | ₹300–₹800/month |
| Stable Diffusion | fake or altered images | free–₹2,000/month |
| ElevenLabs | cloned or synthetic voice | ₹2,000–₹8,000/month |
Global lessons| Possible use | Who used it | How TN parties could adapt |
| interactive voice calls | US campaigns 2024; Biden voice robocall case | shift IVRS to AI voice chats |
| voter mood analysis and volunteer tracking | Democratic National Committee (DNC) in 2025 US state elections | analyse booth-level sentiment and booth work dashboard |
| policy explainer videos | Liberal Party in Australia (2025) | short AI policy videos |