AI Divide: IT Stocks Slammed as Financials Navigate Growth

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AuthorAditi Singh|Published at:
AI Divide: IT Stocks Slammed as Financials Navigate Growth
Overview

Shreyash Devalkar of Axis Mutual Fund highlights AI's varied impact. Indian IT stocks are experiencing sharp declines due to fears of AI-driven revenue compression and automation, a stark contrast to the financial services sector, which is integrating AI cautiously within regulatory frameworks for efficiency gains. Gold continues to be a preferred asset for stability amidst global uncertainty, while silver remains volatile.

1. THE SEAMLESS LINK

Shreyash Devalkar, Head of Equity at Axis Mutual Fund, points to a bifurcated impact of artificial intelligence across the financial ecosystem. While the IT services sector grapples with immediate fears of revenue erosion and business model disruption stemming from advanced AI tools, the financial services sector is cautiously integrating AI to bolster operational efficiency and manage risks. This divergence is reshaping investor sentiment and sector valuations, while broader asset allocation trends are influenced by macroeconomic shifts and geopolitical developments.

The AI Disruption vs. Digital Transformation in IT

Recent developments, particularly the launch of advanced AI tools by companies like Anthropic and Palantir in early February 2026, have triggered a significant sell-off in Indian IT stocks. The Nifty IT index saw a sharp decline of approximately 8%, erasing close to ₹2.5 lakh crore in market capitalization over a few sessions. Concerns are mounting that AI could automate a substantial portion of tasks traditionally handled by IT service providers, leading to revenue compression and a fundamental shift in the industry's labor-intensive model. Analysts estimate a potential elimination of 9-12% of IT services revenue over the next four years. Major IT players like Infosys, TCS, Wipro, and HCL Technologies, which generally trade at P/E multiples ranging from approximately 17x to 26x, are facing investor scrutiny. Some analysts view this sell-off as potentially overdone, likening it to "plenty of panic over a little flutter", while others warn of significant downside risks to valuations. The sector's overall growth projections remain robust, with the India IT services market expected to reach $78.1 billion by 2034, driven by digital transformation and cloud adoption. However, the immediate threat posed by AI's automation capabilities is undeniable, with some suggesting the sector is 'ex-growth' without a significant AI pivot.

Financial Services: Cautious AI Adoption and Regulatory Navigation

In contrast to the IT sector's immediate anxieties, financial services in India are actively exploring AI, albeit with a more measured approach due to stringent regulatory oversight. AI is being leveraged to enhance customer engagement, optimize operations, improve fraud detection, and strengthen risk management. Indian financial institutions are investing in AI solutions, with a significant portion of their operations potentially benefiting from productivity boosts. Regulators like the Reserve Bank of India (RBI) and the Securities and Exchange Board of India (SEBI) are actively shaping a responsible AI framework, focusing on data privacy, accountability, and transparency. The P/E multiples for the financial services sector, with the Nifty Financial Services index trading around 18-18.5x, are generally lower than those in the IT sector. Major banks like HDFC Bank (18.5-20.5x), ICICI Bank (18-19x), and Axis Bank (14.5-16x) are navigating this integration, with a focus on compliance and risk mitigation. The overall financial services sector in India is experiencing strong growth, driven by rising incomes and digital adoption, with the mutual fund industry's Assets Under Management (AUM) reaching approximately ₹3.65 Lakh Crores (around $44 billion) for Axis Mutual Fund by late 2025.

Asset Allocation Signals: Gold's Stability Amidst Volatility

Investor sentiment regarding asset allocation reflects a preference for stability. Gold prices are demonstrating resilience, supported by persistent inflation concerns, ongoing geopolitical tensions, and significant central bank buying, which acts as a structural demand floor. Forecasts suggest steady growth for gold in 2026, with prices expected to trade in the $2,300-$2,600 range. The yellow metal is seen as a safe-haven asset and a hedge against currency devaluation. In contrast, silver is experiencing heightened volatility, driven by its dual demand from industrial applications (solar, EVs) and investment, alongside supply deficits. While silver offers potential for higher returns during bull markets, it also carries a greater risk of sharp corrections during downturns, behaving more like a 'high-beta hybrid' compared to gold's relative stability.

The Auto Sector Outlook: Demand Drivers and Lingering Risks

Devalkar's positive outlook on the auto sector remains underpinned by recovering demand and active product cycles across vehicle segments. However, potential headwinds persist in the form of commodity price fluctuations and increased competition from imported vehicles, factors that investors continue to monitor closely.

The Forensic Bear Case

IT Sector Vulnerabilities: The primary concern for the IT sector centers on the potential for AI-driven automation to erode high-margin application services revenues, which constitute a significant portion of their business (40-70%). This could lead to reduced client spending on traditional services and prolonged project timelines, impacting overall revenue growth and profitability. While companies are investing in AI re-skilling, the pace of adoption and the ability to develop new, high-margin AI-led offerings are critical determinants of future competitiveness. Furthermore, global tech spending reductions noted in 2025 have added pressure on the sector's growth outlook.

Financial Services Regulatory Headwinds: Despite AI's promise, the financial services sector faces significant regulatory hurdles. Concerns around data privacy, AI model bias, transparency, and accountability necessitate a cautious, risk-based approach. Delays in regulatory approvals or the need for extensive compliance checks could slow down the pace and scale of AI integration, potentially limiting its immediate impact on operational efficiency compared to less regulated sectors. The inherent complexity and sensitive nature of financial data also amplify the risks associated with AI implementation.

Precious Metals Dynamics: For silver, the high volatility presents a risk. While industrial demand is strong, a sharper-than-expected global economic slowdown could dampen this demand, leading to price corrections. The ongoing supply deficits, while supportive, also contribute to price sensitivity. For gold, while the long-term outlook remains positive, short-term volatility can arise from shifts in central bank buying patterns, unexpected geopolitical events, or changes in US monetary policy and interest rates.

Future Trajectory

The IT sector's ability to adapt to AI-driven automation and re-skill its workforce will be paramount. Analysts are closely watching for companies that can successfully pivot to offering AI-centric services, rather than solely focusing on legacy maintenance. In financial services, the regulatory environment will dictate the speed and depth of AI integration. Continued central bank accumulation is expected to provide a stable floor for gold prices, while silver's trajectory will depend on the interplay of industrial demand, supply dynamics, and broader macroeconomic conditions. The auto sector remains subject to commodity price volatility and competitive pressures from imports.

Disclaimer:This content is for educational and informational purposes only and does not constitute investment, financial, or trading advice, nor a recommendation to buy or sell any securities. Readers should consult a SEBI-registered advisor before making investment decisions, as markets involve risk and past performance does not guarantee future results. The publisher and authors accept no liability for any losses. Some content may be AI-generated and may contain errors; accuracy and completeness are not guaranteed. Views expressed do not reflect the publication’s editorial stance.