India’s IT services industry has long been recognised in the global technology market for its cost efficiency, vast talent pool, and reliable service delivery. Multi-year outsourcing contracts, application management, and consistent quarterly performance have made it a dependable sector for investors. However, artificial intelligence (AI) is now beginning to reshape the very foundation of this established business model.
AI presents both a significant business opportunity and a challenge to the traditional revenue model. Let us understand how India’s IT services industry is evolving and whether the sector can successfully reinvent itself in the AI era.
What’s Happening?
The rapid expansion of India’s IT industry began in the late 1990s, driven by Y2K-related demand. Over the years, companies continuously trained and reskilled employees through multiple technology shifts, from social, mobile, analytics, and cloud (SMAC) to software-as-a-service (SaaS). Despite these transitions, the industry’s core business model remained largely unchanged.
This model was built on a pyramid structure. At the base were a large number of entry-level employees, supported by progressively more experienced professionals at higher levels. Companies broke projects into smaller, repeatable tasks that could be executed efficiently by large teams, enabling them to deliver complex global projects at competitive costs.
AI, however, is automating several of these tasks, including application development, software testing, customer support, infrastructure management, and back-office operations. As a result, relying on large teams to solve business problems is becoming less effective. AI is challenging one of the Indian IT industry’s biggest strengths, its ability to scale through workforce expansion.
Opportunities from AI as Well as Uncertainty
AI is emerging as the fastest-growing business segment for Indian IT companies, but it is also the least predictable source of revenue. TCS’s annual AI business has grown to $2.6 billion, while HCLTech’s advanced AI business is now approaching an annual run rate of around $700 million.
Despite this growth, many AI engagements last only one or two quarters. Companies often have to compete again for the next phase of work, unlike traditional outsourcing contracts that typically provided revenue visibility for several years.
Another challenge is client spending. While enterprises are investing more in AI, they are not significantly increasing their overall IT budgets. Instead, they are reallocating existing technology spending towards AI initiatives. As a result, even though AI revenues are growing at a healthy pace, the overall revenue growth of IT companies is likely to remain modest.
Weak Growth and Changing Client Demand
According to Crisil Ratings, the revenue growth of Indian IT services companies is expected to remain between 1% and 3% in the current financial year. AI-led disruption, weak discretionary spending, and geopolitical uncertainties continue to weigh on demand. Growth is expected to improve only marginally in the next financial year, with revenues projected to grow by 2% to 4%.
The healthcare and life sciences vertical in the US has been particularly weak. This segment contributes around 14% of Wipro’s total revenue, but its revenue declined by 2.6% quarter-on-quarter in the first quarter. During the same period, TCS reported a 1% decline, while HCLTech’s revenue from the segment fell by 0.5%. In contrast, Tech Mahindra recorded positive growth of 2.6%.
As American healthcare companies face increasing margin pressures, their technology budgets have remained largely unchanged. Much of the available spending is now being directed towards AI and automation instead of traditional services such as server maintenance and back-office operations.
What Does This Mean for Investors?
Despite muted revenue growth, the operating margin of the Indian IT industry is expected to remain in the range of 22% to 23% during the current financial year. Better resource utilisation and a weaker rupee could provide some support to profitability. However, from the next financial year onwards, rising employee costs, higher investments in AI, revenue pressures, and reduced currency-related benefits may put margins under pressure.
Almost every major IT company is following a similar AI strategy, reducing headcount, partnering with companies such as OpenAI, Anthropic, and Palantir, changing the way they bid for projects, and introducing new pricing models. However, the real challenge goes beyond these initiatives. The traditional Indian IT model was built around delivering services through large workforces, whereas AI enables similar outcomes with significantly fewer people. Therefore, instead of focusing only on AI announcements, investors should assess which companies are genuinely transforming their workforce-led business models.
What’s Next?
The future of India’s IT industry will depend less on workforce size and more on AI-skilled talent, reusable intellectual property, and measurable business outcomes. Companies will need to move away from the traditional pyramid structure towards product-oriented teams, where employees have greater autonomy and performance is measured by outcomes rather than billable hours.
Over the next five to 10 years, many routine and repetitive tasks are likely to disappear. However, new opportunities will emerge not only in building AI systems but also in operating, monitoring, governing, and securing them. As organisations increasingly deploy hundreds of AI models and autonomous agents, the demand for AI governance, security, compliance, and lifecycle management is expected to grow significantly. These AI operations could become the industry’s next recurring revenue stream, much like application management was in the previous era.
Disclaimer: This article is for educational and informational purposes only and does not constitute investment advice or a recommendation to buy or sell any securities. The companies mentioned are cited as examples within the context of market developments. Investors are advised to conduct their own due diligence and consult their financial advisor before making any investment decisions.
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