AI Splits Indian Firms: Efficiency Gains for Leaders, Job Fears for Others

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AuthorRiya Kapoor|Published at:
AI Splits Indian Firms: Efficiency Gains for Leaders, Job Fears for Others
Overview

India's job market is changing due to AI, affecting IT, BFSI, and BPO sectors. Companies like Coforge are using AI for growth and better margins. Others face slower hiring and competition from new AI firms. Analysts are split, seeing both efficiency benefits and risks to older business models. Bank of Baroda shows strong growth, and IndiGo is using AI to improve operations.

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AI Transforms Indian Business

The Indian economy is at a turning point, with Artificial Intelligence rapidly moving from a test technology to a key factor in business strategy and how operations run. This change is reshaping traditional business models, especially in the IT, Banking, Financial Services, and Insurance (BFSI), and Business Process Outsourcing (BPO) sectors. The idea of AI causing job cuts and major business changes is growing, creating a clear divide between companies using AI for an edge and those struggling to adapt.

Coforge Leads as AI Boosts Efficiency

Coforge shows the benefits of strong AI use. The IT firm reported a significant Q4 FY26, with net profit more than doubling to ₹612.3 crore on 30% year-on-year revenue growth to ₹4,450.4 crore. Analysts credit this success, including wider profit margins to 16.6%, to effective cost control and early gains from AI efficiencies. This performance boosted analyst confidence, with 'Buy' ratings and strong upside potential noted for the stock, showing a growing 'efficiency premium' for companies good at AI. This contrasts with the broader Indian IT sector, which has seen its stock values fall sharply. The Nifty IT index is down about 25% this year, due to fears that Generative AI could lower revenues from traditional IT services by 2-3% annually over the next few years.

BFSI Embraces AI, CAMS Sees Strong Efficiency

The BFSI sector is significantly increasing its AI spending, which is expected to double in 2026 and reach $8.09 billion by 2033. Key areas include better fraud detection, automated compliance, and improved customer service, supported by initiatives like the RBI's FREE-AI program. Companies like Bajaj Finance and Tata Capital are already saving costs and improving efficiency with AI for loan approvals and AI chatbots for customer support. Computer Age Management Services (CAMS) reported record Q4 FY26 revenue and EBITDA, signaling strong operational efficiency and automation. CAMS holds its leading position in mutual fund administration, with equity assets at an all-time high, showing strength and scale in a competitive market.

New AI Firms Challenge India's IT Sector

While Coforge is managing the AI transition well, the wider IT services industry faces disruption. Reports suggest that while some analysts downplay immediate large-scale job losses, expecting stable hiring and more revenue per employee, others warn of significant cuts to high-quality IT jobs impacting millions. Net hiring by India's top five IT firms has decreased, with TCS planning to hire fewer new graduates. Cognizant has started layoffs as part of its AI strategy. Importantly, new AI-focused firms like OpenAI and Anthropic are directly challenging major Indian IT companies by forming joint ventures with private equity firms. These new entities offer faster, cheaper, and results-driven AI deployment, directly competing for major business projects and threatening the traditional pay-per-hour model that drives much of the Indian IT sector's income.

IndiGo Leverages AI for Operations

Even in sectors like aviation, AI is key to operations. IndiGo is strengthening its data, analytics, and AI systems, hiring a former Airbus executive to lead this. This focus aims to improve operations and customer experience amid ongoing cost challenges, especially from high jet fuel prices. The airline reported strong cash reserves and expects about 10% capacity growth for Q4 FY26, showing its commitment to using technology for a competitive edge.

Bank of Baroda Posts Steady Growth

Bank of Baroda reported a solid Q4 FY26, with global business growing 14% year-on-year to ₹30.78 lakh crore and global deposits rising 12%. While the bank shows strong balance sheet growth, analyst views are mixed. Some see good value and sound loan portfolios, while others point to political risks and possible industry mergers that could affect shareholder returns.

AI Threatens Traditional Business Models

The traditional IT services model, based on manpower and long projects, is facing major challenges from AI-native firms offering faster, cheaper, and results-driven solutions. Established players like TCS and Infosys, with huge market values, risk losing market share as new companies directly integrate AI into business operations. Beyond job displacement fears, which some reports suggest could significantly affect quality jobs, the slow AI adoption by companies in BPO and even manufacturing could make their large workforce models outdated. The risk is for organizations that focus on adding staff instead of improving core skills, leaving them vulnerable to competitors focused on automation and efficiency.

Outlook: India Navigates AI's Changing Landscape

The outlook for the Indian IT sector remains divided. Analysts see potential for AI to create an additional $300-400 billion market by 2030, though the biggest impact of disruption is expected between FY26 and FY28. Companies showing strong AI integration, like Coforge and CAMS, are favored by analysts. However, the broader market must deal with ongoing AI-driven price pressures and the need for continuous employee reskilling and adaptation to avoid being surpassed by technological advances and new ways of competing.

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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.