The post highlights TCS's Q3 FY26 workforce reduction of 11,151 employees, totaling over 30,000 cuts in six months, driven by cost pressures, profit declines, and AI-enabled restructuring, with voluntary attrition at 13.5% signaling internal dissatisfaction.
Management's conference call language about "releasing" mid- and senior-level staff unable to adapt post-reskilling underscores ongoing redundancies, aligning with sector-wide shifts where AI compresses team sizes and prioritizes skilled roles over junior-heavy models.
This trend risks amplifying India's graduate unemployment, with IT's historical absorption of millions now shrinking; TCS stock's 25% yearly drop reflects investor concerns over sustained growth in a productivity-led era.
TCS continued its multi-quarter workforce optimization, driven by AI-enabled efficiencies, cost pressures, and a shift toward higher-skilled roles. The company did not disclose exact quarterly exit breakdowns in official documents, but combined official data and management commentary provide the following insights:
Total Headcount: 582,163 at quarter-end (down 11,151 or 1.9% from 593,314 at the end of Q2 FY26).
This marks a cumulative decline of over 25,800 employees in FY26 so far (April-December 2025), and approximately 31,000 from June to December 2025.
Voluntary Exits: Official disclosures report voluntary attrition at 13.5% on an LTM basis for IT services (unchanged from prior quarters).
This rate represents voluntary exits over the past 12 months divided by average headcount. Using an approximate average headcount of ~588,000 for Q3 (midpoint between Q2 and Q3 totals), the quarterly voluntary attrition rate is estimated at ~3.375% (13.5% / 4), implying around 19,845 voluntary exits in Q3 alone. However, this is an estimate; exact quarterly voluntary exits are not disclosed. Unions have alleged that some "voluntary" exits are coerced through benching, performance manipulation, or pressure, potentially inflating this figure.
Involuntary Exits: Approximately 1,800 employees were involuntarily released in Q3 as part of ongoing restructuring.
This aligns with TCS's broader plan to reduce ~2% of its global workforce (approximately 12,000 roles) in FY26, primarily targeting mid- and senior-level positions unable to adapt post-reskilling.
Chief HR Officer Sudeep Kunnumal stated, "The company continues with the restructuring exercise and will continue this exercise until the end of this year."
These exits are linked to AI-driven role rationalization, with reports indicating impacts on 10-20 year veterans and specific locations like Pune (376 affected).
Total Exits and Net Decline: Combining voluntary (estimated ~19,845) and involuntary (1,800) yields approximate total exits of ~21,645 in Q3. With a net headcount decline of 11,151, this implies gross hiring of ~10,494 during the quarter (exits - decline = hires). This hiring focused on freshers with "higher order skills," as TCS doubled its fresher intake QoQ to build an AI-ready talent pool.
HR Strategy 2026
Short Term -
This checklist focuses on quick wins to stabilize operations amid restructuring and external pressures like visa fees.
- Conduct a comprehensive workforce audit: Map current headcount against AI-driven role requirements, identifying redundancies in mid/senior levels and skill gaps in junior roles.
- Review attrition data: Analyze voluntary exits (e.g., 13.5% LTM) by department and tenure to pinpoint dissatisfaction drivers like benching or performance pressures.
- Accelerate AI reskilling programs: Target training for at least 20-30% of the workforce annually, focusing on practical AI applications to minimize involuntary exits.
- Ramp up campus hiring: Finalize offers for 40,000+ freshers in FY26, prioritizing AI, data science, and digital skills through programs like off-campus drives.
- Assess H-1B dependency: Calculate cost impact of $100,000 fees (e.g., potential $650M hit) and shift 10-20% of US roles to local hires or offshore models within the next quarter.
- Enhance employee engagement surveys: Launch quarterly pulse checks to address internal dissatisfaction, aiming to reduce voluntary attrition by 2-3% through targeted retention initiatives.
- Partner with unions/employee forums: Proactively discuss restructuring to mitigate allegations of coerced exits and build trust.
- Optimize recruitment pipelines: Double fresher intake QoQ while integrating AI tools for efficient screening and onboarding.
- Develop contingency plans for visa changes: Identify alternative talent pools in nearshore locations (e.g., Mexico, Canada) to offset US margin erosion (100 bps potential hit).
- Monitor financial integration: Collaborate with finance to track restructuring expenses and ensure they support margin stability (e.g., 25.2% operating margin).
Long Term
- This checklist draws directly from industry trends, emphasizing AI integration, cost efficiency, and talent agility to drive profitability and growth.
- Embed AI in talent acquisition: Use AI-powered tools for predictive hiring, focusing on "higher-order skills" to build an AI-ready workforce from campus recruits.
- Prioritize continuous reskilling: Aim to upskill 100,000+ employees yearly in AI and emerging tech, with clear pathways for adaptation to avoid mass involuntary exits (e.g., ~1,800 per quarter).
- Foster a culture of internal mobility: Reduce voluntary attrition by promoting cross-functional moves and reskilling non-adapters, treating "release" as a last resort.
- Localize global operations: Increase local hiring in key markets like the US (target 70% citizens/residents by FY27) to mitigate H-1B fee impacts and enhance client trust.
- Balance offshore-onsite models: Shift routine tasks offshore to cut costs (20-30% savings) while maintaining high-margin AI deals onsite.
- Implement data-driven attrition management: Track metrics like min_retweets or engagement in internal forums to preempt exits, aiming for below 12% LTM attrition.
- Diversify talent pipelines: Expand beyond India with hires in Europe/UK (e.g., 5,000 over three years) and nearshore centers to buffer against visa policy risks.
- Integrate HR with business strategy: Align reskilling with revenue goals (e.g., $1.8B AI services) to ensure talent supports productivity-led growth.
- Promote ethical restructuring: Transparently communicate layoffs, offering severance and outplacement to maintain morale and brand reputation amid unemployment risks.
- Leverage analytics for profitability: Model visa fee scenarios (e.g., 50-150 bps margin hit per employee) and adjust contracts to pass through costs, ensuring EPS stability.
