Summary of Key Points
India's IT industry is facing a paradoxical situation brought about by AI: Traditional outsourcing companies (such as TCS and Infosys) are being significantly impacted due to their reliance on standardized software-based tasks. This has led to slower growth, declining stock prices, and engineers turning to "doomsday loans" out of fear. However, multinational corporations that have established "Global Capability Centers (GCCs)" in India are experiencing expansion, as these centers focus on tasks that AI cannot yet perform—tasks that require the ability to create context. The root of this issue lies in the fact that India's IT industry has thrived over the past 25 years by providing standardized intellectual labor (such as writing code and conducting tests based on fixed requirements). Since AI is particularly adept at handling these types of repetitive, verifiable tasks, traditional businesses are being disrupted. On the other hand, jobs that require innovation and strategic thinking remain unserved by AI, which is why the GCCs are growing despite the overall challenges.
How India's IT Industry Thrived Thanks to the "Y2K Bug"
In 1998, the world was worried about the Y2K bug—old computers used two-digit years (e.g., 98 meaning 1998), and the year 2000 could cause system crashes. Solving this problem required knowledge of COBOL programming languages, which were no longer taught in American universities but still were being taught in India. Western companies, unwilling to have their Silicon Valley engineers perform such repetitive tasks, outsourced them to India. Indian outsourcing firms offered programmers for just 1,000-1,500 rupees (about £14-21) per day, making the cost extremely low. They turned software development into a streamlined process: graduates received standardized training and became "software workers" capable of following established procedures. Over time, India evolved from providing fixes for the Y2K bug to handling back-office tasks for Wall Street and testing work in Silicon Valley, growing a $300 billion industry with companies like TCS and Infosys as its leaders.
What's Happening to India's IT Industry Now?
This year, Indian IT companies have continuously lowered their growth forecasts, and the Nifty IT index has dropped by nearly 30%. The situation is particularly concerning for engineers: Young professionals like Priyanka are not unemployed but no longer rely on future salary increases and are using their savings to pay for expenses like iPhones and motorcycles. Some are even taking out loans while still employed, a phenomenon known as "doomsday loans." The reason for this panic is that AI is taking over many of these tasks—AI can automatically write code, fix bugs, and generate test cases, which were previously done by junior engineers. Customers no longer need to hire 100 engineers for a year; they can buy AI systems (which can handle 80% of the work) along with a few senior engineers, eliminating the need to pay based on the number of employees. India's model of selling labor by the hour has been directly challenged by AI.
The Diversification of India's IT Industry
India's IT industry actually consists of two different types of services:
- Traditional Outsourcing: This involves providing standardized services with clear requirements, fixed processes, and verifiable results (e.g., ERP implementation and system maintenance). These tasks overlap significantly with what AI can do, which is why this segment of the industry is facing challenges.
- GCCs (Global Capability Centers): Multinational corporations set up teams in India to handle more complex tasks that require context creation, such as product development, AI training, customer analysis, and architecture design. These tasks involve understanding business scenarios and requiring creative thinking, which AI cannot yet perform effectively. As of the 2026 fiscal year, there were over 2,100 GCCs in India, employing 2.36 million people, with a market expected to reach $100 billion by 2023.
In simple terms, AI is eliminating the "assembly line workers" and retaining the "creative thinkers."
What Exactly Does AI Affect?
AI does not eliminate all programmers; it targets specific types of work that rely on standardized intellectual labor. Its strength lies in handling repetitive, well-defined tasks with verifiable outcomes (e.g., writing code for specified functions). India's IT industry has focused on making software development more efficient by streamlining processes and rewarding adherence to standards. However, this approach no longer fits the needs of modern work, as AI can now handle these tasks more efficiently.
Other Industries at Risk
The impact of AI is not limited to India; any industry that relies on standardized intellectual labor is vulnerable:
- Call centers in Manila: AI can easily replace operators following predefined scripts.
- Offshore outsourcing in Warsaw: AI can provide cheap labor hours in European time zones, reducing costs significantly.
- Shared service centers in Dublin: AI can perform standardized accounting and compliance tasks more accurately and quickly than humans.
For individuals, it's important to ask yourself: How much of your work involves tasks with clear requirements, fixed processes, and verifiable results? These are the areas that AI may replace in the future.
In conclusion, India's IT industry has not done anything wrong; it simply perfected its use of standardized methods. However, times have changed, and AI is reshaping the value of this type of labor. The competition in the future will not be about having more engineers but about whose capabilities align less with those of AI and who can adapt their skills more quickly to new realities.