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Citrini Research AI Report: What It Said, What the Data Shows, and Indian IT's Position

A fictional AI crisis scenario from Citrini Research sparked a massive sell-off in Indian IT stocks. Here’s what’s real, what’s exaggerated, and what investors should actually watch.

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Team Sahi

Published: 24 Feb 2026, 12:00 AM IST (1 month ago)
Last Updated: 3 Mar 2026, 05:30 AM IST (1 month ago)
5 min read

The Citrini research AI report triggered one of the sharpest single-day sell-offs in Indian IT stocks in recent memory, erasing approximately ₹84,000 crore in market capitalisation on 24 February 2026.

What Is the Citrini Report?

The citrini report — officially titled "The 2028 Global Intelligence Crisis" — is a research piece co-authored by Alap Shah (former Citadel portfolio manager, Harvard economics background) and James van Geelen. Critically, the report was explicitly framed as a fictional stress test scenario, not a forecast or prediction.

It presented a retrospective narrative set in June 2028, describing how AI adoption could disrupt the global economic system over the preceding three years. The citrini research report gained rapid market traction because it directly addressed the risk to Indian IT outsourcing from AI-driven automation.

The Core Thesis: Ghost GDP

The report introduced the concept of "Ghost GDP" — a scenario where:

  • Companies cut white-collar positions to boost margins
  • Displaced workers reduce spending
  • Demand weakens, prompting further AI investment to cut costs
  • The cycle repeats — GDP looks stable on paper while real wage income collapses

This, the authors argued, could trigger a systemic economic crisis by 2028, with Indian IT firms among the hardest-hit sectors.

The India Angle

The citrini research report on AI argued that Indian IT's competitive moat — labour cost arbitrage — would erode as AI coding agents brought the marginal cost of software development close to the cost of electricity.

The fictional scenario projected: contract cancellations at major Indian IT firms, procurement teams demanding 30% renewal discounts, an 18% rupee depreciation, and eventual IMF preliminary discussions.

What Current Data Actually Shows

The Citrini scenario is explicitly fictional. Present financial data tells a different story:

Metric Current Reality
Indian IT exports (FY2025) $224 billion; US = 54% (~$103 billion)
AI revenue at TCS ~5–6% of total revenue; 620 active AI engagements
AI revenue at Infosys ~5.5% of quarterly revenue; 460+ active AI projects
Analyst estimate of AI revenue risk 9–12% of IT revenue over 3–4 years (Motilal Oswal)
Earnings CAGR projection FY2028 6% for large-cap IT (Jefferies)

Motilal Oswal estimates approximately 9–12% of IT services revenue could be impacted over 3–4 years — implying 2–3% annual revenue pressure. Significant, but far from the collapse scenario the fictional report describes.

Market Context Before the Sell-Off

The Citrini report did not arrive in a vacuum. Nifty IT had already fallen approximately 21% in February 2026 — its worst February in 23 years. Prior catalysts included Anthropic's Claude Code launch in early February, venture investor commentary on AI automation on February 16–17, and Jefferies downgrades of major IT companies on February 23.

The sector had lost over $100 billion in market capitalisation over the preceding year. Nifty IT P/E compressed to 23.6x from a one-year average of 26.8x — representing a 12% valuation discount relative to historical averages.

Historical Perspective: Indian IT Has Adapted Before

Indian IT has faced "existential threat" predictions before:

  • Y2K era (2000): Threat of irrelevance — became a massive opportunity
  • Dot-com bust (2001): Hurt startups but not enterprise outsourcing clients
  • 2008 financial crisis: Drove more outsourcing as clients cut costs
  • Cloud computing (2010s): Firms repositioned as cloud migration partners
  • RPA automation (2018–2020): IT firms became automation implementation partners

In each case, the sector adapted by positioning around the new technology rather than being displaced by it. AI represents a genuine transition — but the outcome depends on adaptation speed, not technology determinism.

Legitimate Risks to Monitor

While the catastrophic scenario lacks current evidence, real risks exist:

  • Application managed services (maintenance, testing, routine development) face pricing pressure. These segments account for 22–45% of revenues at major firms.
  • AI adoption that is too slow puts firms at competitive risk
  • Revenue erosion in commoditised segments is already underway

Two quarterly metrics will reveal real disruption more clearly than any scenario report: Total Contract Value (TCV) of new order bookings and AI deal win rates.

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