I wrote this report on Indian IT services in the AI era.
TCS, Infosys, and HCLTech are often treated like defensive cash-generating machines. High margins, strong cash flows, sticky clients, good governance, domestic SIP support.
The real question is not how high the margin is, but where the margin comes from?
The thesis is that a 24% margin attached to billable labor may be less durable than a 15% margin attached to workflow ownership, managed services, platforms, and acquired capability.
The piece asks:
Can AI compress the exact offshore labor-arbitrage work that built Indian IT margins?
Are investors mistaking labor efficiency for business quality?
Why is Accenture discounted for AI exposure in the US while TCS is treated as insulated in India?
What evidence would prove this thesis wrong?
My answer, in brief: AI does not need to “destroy Indian IT” for the current valuation setup to break. It only needs to pressure the parts of revenue that depend on rented labor while rewarding firms that own workflows.
Read the full report here: Report link in comments per community rules 🙂
Disclosure: AI tools were used in the research, modeling support, drafting, and review process.
But the final argument and report came from hundreds of hours of my work, revision, doubt, and staring at the screen.
Impact of AI on IT Services – Long Accenture Short Indian IT Service
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Posted by TelevisionUpper1132
3 Comments
I was under the belief that AI stands for “Actually Indian”…
Why is Accenture discounted for AI exposure in the US while TCS is treated as insulated in India?
^ Mate, TCS is down 30% YTD
Interesting thesis honestly. A lot of investors still value Indian IT like stable outsourcing machines, but AI directly targets repetitive billable labor. The companies that own workflows/platforms probably end up stronger than the ones mainly selling manpower.