Rahul Gandhi's research team is using AI tools like Gemini and Perplexity?

Sources suggest that Rahul Gandhi's research team is increasingly utilizing advanced AI tools like Perplexity and Google's Gemini to process and analyze vast amounts of electoral data. These AI-powered platforms enable the team to efficiently collate complex datasets—such as voter rolls, deletion applications, and photographic evidence—into coherent, comprehensible formats that can be used for strategic decision-making and public presentation. This technological integration marks a significant evolution in Congress's approach, allowing rapid identification of patterns like duplicate voter entries or fraudulent registrations which would be difficult to detect manually.

By leveraging AI's capabilities, Gandhi's research team, led by figures like Praveen Chakravarty and Alankar Sawai, can transform raw data into actionable intelligence. This streamlines the preparation of high-impact exposés, such as the "H-Files," and enhances communication
efforts by simplifying technically dense information for public dissemination. The use of AI thus not only augments data accuracy but also amplifies Congress's ability to challenge electoral malpractices effectively in near real-time, reflecting a modern blend of political strategy and cutting-edge technology.

New Trends in Bihar Polls

The first phase of the Bihar elections has set the tone for a transformed campaign and voter narrative, one that blends digital strategy with social undercurrents of vocal discontent. 

 The most visible shift is the move away from traditional door-to-door canvassing toward sharply targeted social media campaigns. Parties are relying on micro videos, local influencers, and data-backed outreach to influence specific communities, an adaptation driven by both cost and the growing online political engagement in semi-urban Bihar.

Equally notable is the evolution of the Bihar voter — no longer quietly dissatisfied but outspoken about governance failures and opposition weaknesses alike. Village-level conversations, often captured on reels and WhatsApp groups, reveal a politically aware electorate unafraid to express political fatigue or disappointment.

A third striking trend is the growing sympathy for unemployed youth. Once viewed as passive dependents, they are now seen as victims of a jobless economy and systemic neglect. This empathy has reframed the political conversation from blame to accountability. As the next phases unfold, these patterns — digital micro-targeting, vocal voter expression, and youth-centric narratives — are likely to deepen, shaping not just Bihar’s polls but future state campaigns across India.