DMK deploys AI portal to crowdsource 2026 Tamil Nadu manifesto

DMK’s AI‑driven manifesto portal is a notable moment in how mainstream politics is starting to operationalize AI, not just talk about it. Instead of using models for campaign micro‑targeting behind the scenes, the party is putting AI in the loop of how it listens to voters—aggregating voice notes, text submissions and social inputs and turning them into structured, sector‑wise policy ideas.([timesofindia.indiatimes.com](https://timesofindia.indiatimes.com/city/chennai/stalin-launches-ai-based-portal-to-crowdsource-dmk-manifesto/articleshow/126327308.cms)) That repositions generative and analytical models as civic infrastructure: tools for compressing messy public feedback into something humans can debate and refine.

From an AGI race perspective, this is less about raw capability and more about institutional adaptation. As parties normalize AI‑mediated sense‑making, they build organizational habits around model outputs: trusting clustering, topic extraction and summarization in high‑stakes, values‑laden contexts. That creates both a constituency for more powerful systems and pressure to solve alignment problems in political domains—bias, capture, and synthetic “astroturf” participation. If this approach spreads to other parties and countries, the political process itself becomes another domain where frontier models are expected to act as assistants, not just chatbots, nudging demand for more agentic systems.