Indian IT layoffs put service stability on the line for CIOs

TCS, Wipro, HCLTech, and Tech Mahindra have collectively laid off over 25,000 employees in the first half of 2025 — despite stable revenues and healthy margins — sending a signal CIOs couldn’t ignore. These weren’t routine job cuts. They reflected a deeper structural shift in India’s outsourcing model, shaped by pandemic-era overhiring and investor pressure toward AI-led delivery.

If we consider workforce reduction by Indian IT services firms over the past 18 months, we are staring at staggering 80,000 pink slips. TCS announced layoffs last week, with plans to cut 12,200 jobs by March 2026. Infosys shed 25,994 employees in FY24 and then terminated another 700 trainees in 2025. Wipro eliminated 24,516 roles in FY24, plus hundreds of mid-level positions recently. Tech Mahindra cut 10,669 jobs with 1,757 more departing in Q4 FY25 alone.

While the job cuts could bring cheer for investors, for CIOs, the fallout is far from cheerful — longer incident resolution times, fragmented delivery teams, and fewer experienced hands on complex accounts. Several outsourcing relationships are showing early signs of stress, particularly in security, app modernization, and high-stakes digital programs.

Service fragility is already emerging

Most of the jobs that were eliminated included mid to mid-senior level IT professionals who, according to the IT services firms, failed to reskill.

“Senior professionals anchored in legacy delivery often found themselves misaligned with AI-augmented workflows,” said Ashwin Venkatesan, executive research leader at HFS Research. As these roles were eliminated, institutional knowledge and project continuity took a hit. CIOs now face rising execution risk, even on stable engagements.

Yugal Joshi, partner at Everest Group, said that redeploying experienced resources had become a persistent challenge. “Many had lost touch with delivery environments. They focused more on staffing fulfillment than adapting to real client needs.”

Fatter margins, thinner visibility

As IT services firms push AI-led delivery, the economics of outsourcing are quietly evolving. Providers are reporting higher margins, but CIOs are seeing increased bills — driven by bundled AI surcharges. Traditional T&M contracts are fast disappearing.

Charlie Dai, VP and principal analyst at Forrester, called it a structural shift. “Firms are redirecting capital from labor-heavy models to AI-augmented delivery to drive scale and efficiency.” He noted that CIOs must rethink governance models to track hybrid human-AI performance metrics.

“CIOs are entering a phase where due diligence is no longer optional. It’s existential,” said Neil Shah, VP for research and partner at Counterpoint Research. “They may pay AI surcharges, even when experienced delivery hands are no longer on the job.”

The emerging model means CIOs may pay more — and get less predictability in return.

Reskilling gaps expose a delivery blind spot

Reskilling remains another grey zone. Dai noted that the move to AI-led delivery is permanent, but the adaptation of legacy workflows remains slow. The gap between AI hype and execution continues to widen.

Venkatesan said that future-ready roles would require a blend of domain knowledge and AI fluency. “Professionals must become AI value orchestrators — those who design, monitor, and augment AI-driven systems.” But vendors have yet to demonstrate consistent timelines or clarity in reskilling efforts, leaving enterprises to absorb the fallout.

“CIOs must demand clarity — on talent, tools and delivery frameworks,” said Faisal Kawoosa, founder and chief analyst at Techarc.

To navigate this disruption, CIOs must overhaul their governance frameworks and revisit contract structures. Generic deliverables won’t suffice. Contracts need deeper visibility into AI usage, delivery composition, and SLA models tied to AI-generated outputs.

Prasanto Roy, public policy expert and senior advisor at FTI Consulting, said CIOs have gained leverage amid workforce churn. “They should insist on outcome-based pricing, performance-linked rebates, and flexible clauses — not just for cost, but to safeguard execution.”

Roy added that signs of delivery strain — frequent handoffs, new account teams, rising ticket queues — need to be actively monitored. Projects involving cybersecurity, data engineering, and compliance are particularly vulnerable to knowledge attrition.

The shifting vendor landscape is prompting CIOs to invest inward. As talent availability tightens and partner reliability fluctuates, building AI-literate internal teams has become a strategic hedge. Joshi said that the future may not need more people but will demand more capable ones — able to manage AI tools, audit models, and ensure alignment with business priorities.

CIOs who move early—by investing in prompt engineering, agent governance, and hybrid delivery models—are better positioned to maintain resilience even as their vendors restructure.

A structural inflection point

Indian IT’s high-scale, low-cost playbook is being rewritten. What’s emerging is a leaner, more expensive model that rewards AI integration but increases delivery risk. This is not a temporary phase — it’s a structural inflection point. CIOs who question, negotiate, and invest in capability now will define how their organizations navigate the next decade of enterprise IT. Those who don’t may find their most trusted vendors — and their delivery outcomes — no longer resemble what they once were.