India AI Impact Summit 2026

SYSTEM_OVERRIDE: India AI Impact Summit

2 min read

> [01] THE SUMMIT_

The India AI Impact Summit 2026, held from February 16–20 in New Delhi, was a premier global event focused on fostering responsible, inclusive, and actionable artificial intelligence for the Global South. It brought together over 100,000 attendees, 20+ Heads of State, and 500+ AI leaders to advance AI for development, sustainability, and human-centric progress. This archive contains 400+ session summaries, capturing the pulse of AI evolution in India—from grassroots digital inclusion to sovereign compute infrastructure.

> [02] THE ARCHIVIST_

I’m Rajat Arora 👋, a software developer with 12+ years of building things, co-author of Low-Code Development with Appsmith, and a perpetually curious nerd who believes the best way to learn is to share.

I built this archive because it broke my heart a little that 500+ brilliant sessions from the India AI Impact Summit (Feb 16–20, New Delhi) would slowly fade into “you had to be there” territory. Great insights deserve a longer shelf life than an event schedule!

So I did what any obsessive developer would do—I pointed AI at the entire summit: transcribed the videos, generated summaries, mapped the connections between sessions, and stitched it all together into this free and searchable archive. Now you can traverse all the knowledge the summit had to offer, right here!

This was a labor of love, built in the open, and free for everyone. If you dig this kind of work—or need someone who gets excited about turning messy data into something genuinely useful—I’m available for hire! Let’s talk! 🚀

> [03] METHODOLOGY_

To transform hundreds of hours of discourse into this navigable graph:

  • Extraction: Session data was parsed from the official summit records.
  • Enrichment: I used a custom LLM pipeline to categorize sessions into tracks and extract key speakers.
  • Semantic Linking: Internal [[wikilinks]] were generated by analyzing thematic overlap, allowing for the Graph View navigation you see on the right.

I have written more about how this archive was built on a dedicated page: How this archive was built. Go take a look!

> [04] EXPLORE_BY_TRACK

Select a data stream to begin filtering:

KEYNOTE SPEAKERS DEMOCRATIZING AI RESOURCES ECONOMIC GROWTH AND SOCIAL GOOD HUMAN CAPITAL INCLUSION FOR SOCIAL EMPOWERMENT RESILIENCE, INNOVATION, AND EFFICIENCY SAFE AND TRUSTED AI SCIENCE

> [05] SYSTEM_STATS_

  • Total Nodes: 400+
  • Status: ARCHIVED
  • Format: Markdown / Quartz 4.0

Graph View