NSE explicitly flagged AI use as a "potential business risk" in its September 10 IPO documents. The exchange admits that rapid AI innovation may already outpace existing regulations and its own surveillance capabilities. This means core revenue streams like F&O trading, dominated by algo players, face new, harder-to-detect manipulation.
How We Got Here
The NSE earns nearly 80% of its revenue from transaction charges, heavily skewed towards high-frequency F&O trading. Its filing comes as market participants increasingly deploy AI-driven strategies on the platform, making policing complex.
The Numbers
- The NSE processed 21.89 billion peak order messages and 201 million trades on March 24, 2026 alone.
- It warned that AI system flaws could produce "inaccurate, biased, or sub-optimal outputs" due to underlying data or algorithm limitations.
- NSE also flagged failures in AI-based surveillance or risk management systems increasing "systemic risk in the Indian capital markets."
- AI-enabled cyberattacks, deepfake impersonation, and AI-driven social engineering pose new attack pathways through third-party AI services.
- The filing cited recent deepfake videos of Congress MP Priyanka Gandhi used to scam investors into bogus schemes.
What Happens Next
🇮🇳 Why This Matters for India
For algorithmic trading firms in Bengaluru and Mumbai, stricter oversight could mean higher compliance costs and a slowdown in deploying bleeding-edge AI strategies.
The Take
What's being missed is how transparently the NSE is saying it's playing catch-up, which is rare for a regulator. This puts the onus squarely on SEBI to accelerate AI-specific policy and surveillance upgrades before the next market event.
Source:
MediaNama ↗