Automated research pipelines, sentiment analytics, and real-time validation models are not replacing analysts — they are making them faster, broader, and more systematic in their approach to institutional clients.
The sell-side research function is at an inflection point. For decades, the model was simple: employ smart analysts, give them access to management, and distribute their insights to institutional clients via expensive research meetings and detailed reports. The model worked — but it was expensive, slow, and increasingly vulnerable to disruption.
AI-native advisory is not about replacing analysts. It is about giving them tools that extend their reach and depth. Automated research pipelines can monitor thousands of companies in real time, flagging earnings surprises, regulatory changes, and unusual trading patterns. Sentiment analytics can process earnings calls, news articles, and social media at scale. Validation models can test investment hypotheses against historical data.
The India-native opportunity
India presents a unique opportunity for AI-native advisory. The market is deep enough to justify sophisticated quant infrastructure, but less saturated with legacy systems than developed markets. The result is that India-native investment tools can leapfrog the generations of incremental upgrades that characterise Western markets.
The firms that win in the next decade will not be those with the most analysts — they will be those with the best infrastructure for turning raw data into investment insight.
At IIG, our AI & Quant Advisory practice works with a small number of sophisticated clients to build exactly this infrastructure. We are selective because we believe that the best outcomes come from deep collaboration, not broad distribution.