Indian equity markets have at times diverged from global sell-offs. Analyse the factors behind this decoupling and the risks of depending on volatile FPI flows.

On 5 November 2026, the Nasdaq-100 fell 6.36% on fears over AI capex and the US midterm result. The next day KOSPI and the Nikkei each lost about 6%. The Sensex, however, rose 2.17%, and FPIs bought ₹14,974.68 crore of Indian equities [1]. This decoupling comes from India's place in global portfolios, not from any immunity to shocks.

Factors behind the decoupling

• Low AI-hardware weight: India has few listed chip or data-centre firms. The crash was led by semiconductors (SOX −12.2%), so it hurt India least [1].
• Capital rotation: FPIs had sold India to buy AI-heavy markets. The RBI links 2026 outflows partly to India's lack of AI exposure [2]. When the AI trade reversed, some of that money returned.
• Resilient domestic base: The RBI finds India's financial system resilient, supported by strong bank and non-bank balance sheets [2].
• Valuation reset: Heavy FPI selling had already cooled the stretched valuations the RBI had flagged [2]. That left room for a rebound.

Risks of depending on volatile FPI flows

• Rotation, not loyalty: FPIs pulled US$30.7 billion out of Indian equities by June 2026. That was already more than 2025's record of US$18.9 billion [2]. One day of buying does not reverse that. India is a hedge against AI risk, not yet a safe haven.
• Structural, not cyclical: In December 2025 the RBI called the outflows temporary profit-taking [3]. By June 2026 it linked them to a lasting gap: India's lack of AI exposure [2].
• Rupee and investment: Money that arrives in short bursts weakens the rupee when it leaves. It cannot fund long-gestation investment.
• Hidden transmission channels:
• A US crash can reach India through wealth effects, as US consumers cut spending on Indian exports and IT services [2].
• Indian banks are indirectly exposed to hyperscaler borrowing through private credit funds [2].

• The IMF warns that leverage in AI positions could set off deleveraging across asset classes [4].

• Policy trade-off: As India builds its own chip and AI capacity, this insulation will shrink.

India's divergence comes from being under-exposed to AI and having resilient balance sheets. The FPI money that produced it is fickle. India should deepen its domestic investor base and rebuild buffers while financial conditions remain easy, as the IMF advises emerging markets [4]. The RBI should also map how Indian lenders are linked to global private credit [2]. Together, these steps would turn a tactical hedge into a durable investment destination and support stable, long-term financing for growth.