Zerodha’s Nithin Kamath calls for radical AI-led fintech ideas beyond trading dashboards

Kamath says Rainmatter is refocusing its investment lens on AI-native products that rethink trading and investing, rather than incremental dashboard upgrades. He expects AI interfaces and agents to reshape brokers’ roles in market access.

— Source published Fri, 21 Aug, 2026, 15:56 IST · First seen Fri, 21 Aug, 2026, 16:49 IST · Source NDTV Profit

What happened

Zerodha CEO Nithin Kamath says Rainmatter will refocus on fintech investments, seeking radical AI-led products that rethink trading and investing rather than

Key facts

  • 60-70% of retail trading volumes originate on smartphones
  • Rainmatter began in 2016
  • Kite launched in 2013
  • Rainmatter blog dated July 27
  • Kamath post dated August 20, 2026

Why this matters

Banks, brokers, and wealth platforms should assess partnerships or acquisitions in AI-agent infrastructure, advice tooling, and next-generation investing interfaces.

What to watch

  • Named Rainmatter investments in agentic investing, AI financial copilots, broker APIs, or compliance tooling.
  • Zerodha product releases involving natural-language market search, portfolio copilots, or AI-assisted order workflows.
  • SEBI consultation papers or enforcement actions addressing AI advice, algorithmic recommendations, or autonomous execution.
  • Disclosure of user adoption, engagement, or conversion metrics for AI features at Indian retail brokers.
  • Partnerships between brokers, LLM providers, market-data vendors, and registered investment advisers.
  • Evidence that AI interfaces reduce acquisition costs or increase retail trading frequency and portfolio churn.
  • Rainmatter prioritizes investments in AI-native investing, wealth, market-intelligence, and broker-infrastructure startups over dashboard-oriented trading tools.
  • Zerodha expands API, data-access, and integration capabilities to make its platform usable by third-party AI layers.
  • Competing brokers launch AI research assistants, multilingual investing interfaces, and automated portfolio-health features.
  • Fintech startups reposition from stock-tip or analytics products toward workflow agents that combine data interpretation, investor education, and compliant action recommendations.
  • SEBI and industry bodies face pressure to clarify accountability, disclosure, and suitability requirements for AI-generated investing guidance.