In 2017, India's IT industry saw tens of thousands of layoffs amid slowdown in revenue, increasing automation, which is making many entry-level IT jobs obsolete
Ananya Bhattacharya / Quartz :
Context & Ripple Effects
This 2017 year-end piece was the early warning shot: tens of thousands of layoffs, a revenue slowdown, and automation already making entry-level IT roles obsolete in India. What looked then like a cyclical downturn has since hardened into a structural story — experts later framed TCS' decision to cut 12K jobs as the start of an AI-fueled trend that could eliminate roughly 500K jobs in India's ~$283B IT sector within three years.
The intervening data confirms the pattern the 2017 article spotted: the share of entry-level tech hiring in India fell from 28% in 2024 to about 15% in 2025 as firms redirected spend toward AI, cloud, cybersecurity, and automation. TCS alone cut 19,755 jobs in the quarter ended September 30 amid strained US relations and the rapid AI shift, and workers report mounting deadline pressure and layoff anxiety. The 2017 story matters because it named the mechanism — automation eating the entry-level rung — a decade before it became the sector's defining problem.
First-order effects
- Entry-level Indian IT workers are the direct casualties: roles built on formulaic, automatable tasks are being cut or never opened, with TCS' multi-quarter reductions the most visible example.
- India's IT firms must reweight hiring toward AI, cloud, cybersecurity, and automation skills, leaving the traditional fresh-graduate training pipeline — the sector's historic labor engine — underused.
Second-order effects
- With entry-level hiring share halved in a year, India's engineering colleges and training institutes face shrinking placement pipelines, pressuring them to retool curricula or lose relevance to the services firms that once absorbed their graduates.
- Competitors across the $280B+ services sector are forced into the same AI-led cost restructuring TCS pioneered, since clients now expect AI-driven productivity gains to show up in pricing.
Third-order effects
- If the pattern holds, India's IT services model — labor arbitrage scaled through mass entry-level recruitment — gives way to a smaller, senior, AI-augmented workforce, with consequences for the sector that employs ~6M people and contributes roughly 7% of GDP.
- A decade of automation pressure, visible from 2017 onward, points toward structural displacement that outpaces reskilling, likely forcing government and industry intervention in workforce transition at national scale.
The trend: India's IT services sector is completing the shift from a labor-arbitrage engine built on mass entry-level hiring to a leaner, AI-augmented model — a transition whose first tremors were visible in the 2017 layoffs.