The most dangerous moment for any business model comes when it’s working perfectly. India’s IT services sector exemplifies this paradox—three decades of export-driven success that created an entire middle class now faces an existential question from agentic AI automation.
This isn’t just another technology shift. It’s a structural realignment that demands board-level attention across Indian corporate leadership.
The forward story here starts with a simple observation: repetitive, process-driven work gets automated first. That describes much of India’s IT services export model—application maintenance, basic coding, tier-one support functions. The work that built Bangalore and Hyderabad as global tech hubs.
But here’s what the manufacturing pivot conversation misses. The transition isn’t automatic. It requires different capital structures, different risk appetites, different regulatory environments. Most critically, it requires boards that can think beyond quarterly IT services margins.
I’ve watched enough boardroom strategy sessions to recognise this pattern: companies cling to profitable business models long past their structural expiry date. The revenue keeps flowing, margins look healthy, and transformation gets delayed until crisis forces action.
The governance angle cuts deeper than strategic planning. Directors overseeing IT services companies face a fundamental question: how do you manage a business model transition when current operations still generate cash? The board’s fiduciary duty gets complicated when short-term performance conflicts with long-term viability.
Consider the talent implications alone. IT services employment created consumption patterns, real estate demand, educational infrastructure—an entire ecosystem built on one sectoral bet. Manufacturing requires different skills, different geographies, different investment cycles. That’s not a strategy pivot; that’s economic restructuring.
The regulatory environment compounds this challenge. India’s manufacturing competitiveness depends on factors largely outside corporate control: land acquisition policies, labour law flexibility, infrastructure development, ease of doing business metrics. Boards can’t strategy their way around policy constraints.
What’s not being said in this manufacturing renaissance narrative? The capital requirements. IT services scaled with relatively light asset bases—people, offices, technology platforms. Manufacturing demands heavy capital investment, longer payback periods, higher regulatory risk. That’s a different conversation with investors, lenders, and stakeholders.
The timing question becomes critical. Companies that wait for IT services revenue to decline before investing in manufacturing alternatives may find themselves too late. But companies that pivot too early may sacrifice profitable years to chase uncertain manufacturing returns.
My Boardroom Takeaway
Directors should demand scenario planning beyond the usual three-to-five-year horizon. What does your business model look like when agentic AI achieves 40%, 60%, 80% automation of current service delivery? How much runway do you have before that transition becomes forced rather than strategic?
The manufacturing opportunity exists, but it’s not a direct substitute. It requires different governance approaches, different risk frameworks, different success metrics. Boards that treat this as a simple sector rotation will miss the structural complexity involved.
Most importantly, this transition requires honest assessment of competitive advantages. If your edge was cost arbitrage in IT services, that edge may not transfer to manufacturing. If it was process excellence and scale, that might translate better. Know what you’re actually good at before deciding where to apply it next.