India mastered outsourced coding just as technology stopped rewarding it.
A USD 250 billion IT services industry emerged without producing a globally dominant software platform company. Artificial intelligence is now attacking the economics that made Infosys, Tata Consultancy Services and Wipro successful because AI reduces the value of large engineering workforces while increasing the value of proprietary platforms, models and intellectual property.
The Strengths That Became Constraints
That model worked for three decades because multinational corporations mainly wanted cheap engineering labour and predictable execution. Indian firms delivered both at enormous scale. The Y2K crisis accelerated outsourcing. Liberalisation after 1991 gave India a large English-speaking workforce at lower cost than the West. Clients prioritised reliability over experimentation, and Indian IT firms perfected the machinery required to coordinate huge engineering workforces across repetitive software projects.
But Indian IT optimised the economics of labour just as software began escaping labour.
A product company increases profits when software scales globally with minimal additional hiring. A services company increases revenue by deploying more engineers across more contracts. Silicon Valley firms tolerated years of uncertain research spending because one successful platform could dominate entire markets. Indian IT firms prioritised delivery stability because quarterly revenue depended on keeping utilisation rates high and contracts predictable.
The result was structural, not cultural. India did not run out of engineering talent. It ran out of incentives to build risky technology.
When Delivery Outranked Invention
As the outsourcing industry matured, managers gained more influence than builders because coordination became more valuable than invention. Firms rewarded people who could manage delivery systems and client relationships across massive workforces. Engineers solving difficult technical problems became less institutionally important than managers ensuring project continuity.
Generative AI reduces the labour required for coding, testing and software maintenance. A bank that previously needed 500 engineers for application support may now need 120 engineers using AI-assisted development tools. Automation therefore weakens not only entry-level coding work but also the managerial layers built around supervising that labour. Middle management inside large services firms has a rational incentive to slow disruption because technological efficiency threatens organisational relevance.
TCS, Infosys, Wipro and others are aggressively retraining employees in GenAI tools and enterprise automation. They are embedding proprietary AI layers into delivery systems, building internal copilots and selling AI-assisted software services to global clients.
The industry understands the threat. The problem is that adaptation does not automatically create technological power.
Most Indian IT firms are not building foundational AI models or globally dominant software ecosystems. They are building wrappers around infrastructure controlled by Microsoft, Amazon, Google and OpenAI. Survival is not the same as leadership.
The GCC Revolution Nobody Saw Coming
The bigger shift now happening in India is not inside Infosys or TCS. It is happening outside them.
Multinational corporations are increasingly bypassing outsourcing firms and building their own Global Capability Centres across Bengaluru, Hyderabad, Pune and Chennai. Walmart, JPMorgan, Microsoft, Nvidia, Qualcomm and hundreds of others now run massive India-based engineering hubs that own product development, cloud architecture, AI tooling and semiconductor design.
This is not old-style back-office outsourcing.
Ten years ago, Indian engineers mainly executed instructions designed abroad. Today many GCCs directly contribute to global product engineering and R&D. India is becoming embedded deeper inside the technological core of multinational firms even if the ownership of intellectual property remains foreign.
The best Indian engineers increasingly prefer working inside a captive AI or product engineering centre for Nvidia or Walmart over maintaining enterprise software contracts inside a traditional IT services hierarchy.
This weakens the traditional outsourcing giants while strengthening India’s technological capability. India may fail to produce many globally dominant indigenous software platforms while still becoming indispensable to global technology production.
Taiwan followed a comparable path in semiconductors. TSMC became strategically critical because it controlled manufacturing capability the world could not replace.
But the ceiling remains visible. Most intellectual property, strategic control and monopoly profits still flow back to headquarters in the United States or Europe. India captures employment and exports. Foreign firms still capture platform dominance.
The Difference Between Delivery And Dominance
That imbalance reflects a deeper weakness in Indian capital allocation.
Indian markets historically reward execution certainty more than technological experimentation. Pharma firms focussed heavily on generics. Manufacturers specialised in contract production. IT firms scaled manpower-heavy delivery operations because each model generated stable margins with lower volatility.
China made a different choice. Beijing directed enormous state and private capital into semiconductors, EVs, batteries and AI because technological ownership became a strategic priority. Companies like Huawei and BYD survived long enough to accumulate proprietary technological advantages because the state tolerated uncertainty and long research cycles. India became indispensable to global software delivery without becoming indispensable to global software power.
That distinction mattered less when software development depended heavily on labour scale. AI changes the equation because automation compresses the value of repetitive coding while increasing the value of proprietary platforms and infrastructure ownership.
India’s IT giants are unlikely to collapse. The GCCs will continue expanding. Artificial Intelligence retraining will preserve parts of the services model.
But the underlying question has not changed. Can India move from supplying the world’s engineers to owning the systems those engineers build?
The real risk is not that India’s IT giants disappear. It is that India stays trapped one layer below technological power while AI erases the value of the layer it mastered.
Disclaimer: The views expressed in this article are those of the author and do not necessarily reflect the views of the publication. |
