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IT-BPM hiring to fall over 26% in H1 of FY27: Report
India's IT-BPM sector anticipates a significant hiring slowdown in early FY27. Net workforce additions are projected to fall over twenty-six percent compared to last year. Companies are focusing on AI-driven productivity and flexible talent models. Global capability centers will see reduced hiring, while other segments also face declines. Macroeconomic uncertainty and regional conflicts contribute to tighter cost controls. Bengaluru: India's IT-BPM industry is facing one of its weakest hiring phases in years, with net workforce additions expected to fall below 70,000 in the first half of FY27 (April-September), more than 26% below the estimated 95,000 added in the same period last year. According to technology consulting and talent advisory firm HAN Digital's India IT-BPM Workforce Outlook Report 2027, shared with ET, the 5.95-million-strong industry is undergoing a structural reset as companies lean on AI-driven productivity, leaner operating models and flexible talent. Organisations are expected to focus more on targeted hiring for strategic, high-value capabilities and AI-specific roles, while using contract and flexible staffing to backfill attrition rather than pursue traditional headcount-led growth. Ongoing conflicts in West Asia and macroeconomic uncertainty are also pushing companies to exercise tighter cost controls. "We expect overall net headcount growth across India's IT-BPM industry in FY27 to remain muted compared to last year, even as hiring activity gradually improves in select segments," said Saravanan Balasundaram, CEO, HAN Digital Solution. "At the same time, contract and flexible staffing will continue to gain momentum as enterprises increasingly favour project-based, outcome-driven talent models." The IT-BPM hiring outlook is weakening across all three major segments. IT services, consulting, Big 4 and product engineering firms are expected to add 22,000-25,000 people in H1 FY27, down from 35,000 in the year-ago period. Global capability centres remain the strongest growth drivers, but even here, additions are expected to drop to 30,000-32,000 in the first half from 45,000 last year. Hiring is concentrated mostly in AI/ML engineering, platform, cyber technology and domain-specialist roles rather than broad-based delivery headcount. Pure-play BPOs, MLOps (machine learning operations) players and tech startups are expected to add 8,000-10,000 people in April-September 2026, against 15,000 in the corresponding period last year, the report found. These projections reflect reported Q1 financials alongside insights from more than 350 companies surveyed. The West Asia crisis has heightened macroeconomic uncertainty, with customers delaying discretionary spending and slowing technology spending in sectors such as retail, travel and manufacturing, said Sangeeta Gupta, senior vice-president, Nasscom.
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How AI Automation Is Slowing India's IT-BPM Net Hiring in H1 FY27
Industry projected to add fewer than 70,000 employees in H1 FY27, while enterprises increasingly pivot to AI-led productivity and flexible workforce models India's IT-BPM industry is expected to witness one of its weakest hiring phases in recent years, with net additions projected to fall below 70,000 in H1 FY27, down from approximately 95,000 during the same period last year, according to Han Digital's recently launched India IT-BPM Workforce Outlook Report 2027. The study provides insights into the evolving talent landscape, changing hiring dynamics and factors influencing net workforce growth across the IT-BPM industry. The projected 26% decline in net additions in H1 FY27 reflects a structural shift in the industry's hiring model, rather than a purely cyclical slowdown. It reinforces that the industry is undergoing a structural transformation, as enterprises recalibrate hiring strategies around AI-driven productivity, leaner operating models, and greater reliance on flexible talent. Traditionally, Q2 & Q3 have been the industry's strongest hiring period, supported by campus onboarding and post-appraisal lateral movement. However, the study highlights that Q2 & Q3 FY27 hiring is expected to fall well below its historical seasonal peak, marking a significant departure from patterns observed over the past decade. The top 10 major IT-BPM players in India added an estimated 12,000-14,000 employees during the quarter. While this marks a positive uptick, the pace of hiring remains measured, reflecting continued caution rather than a broad-based recovery. Speaking about the report, Saravanan Balasundaram (Saran), Founder & CEO, HAN Digital Solution, said, "We expect overall net headcount growth across India's IT-BPM industry in FY27 to remain muted compared to last year, even as hiring activity gradually improves in select segments. At the same time, contract and flexible staffing will continue to gain momentum as enterprises increasingly favour project-based, outcome-driven talent models. The next phase of growth will not be measured by how many people companies hire, but by the capabilities they bring into the organisation and how effectively they combine human expertise with AI." The pattern suggests selective, capability-led re-hiring rather than a broad-based recovery reinforcing that the next phase of IT services growth will be defined by the kind of talent added, not the volume. By the end of FY27, the study anticipates that AI agents would have displaced a significant share of low-end technology and support work in India, like generic Java and .NET development, digital marketing execution, campaign management, L1/L2 technical support, traditional QA, customer support, and incident management, among them. CONTRACTORS AND FLEXIBLE TALENT BECOME THE NEW NORMAL Beyond AI adoption, the industry will witness an accelerated shift from permanent hiring toward contractor and flexible staffing models. Enterprises are increasingly replacing attrition through contract talent rather than expanding full-time headcount. This approach enables organisations to capture AI-led productivity gains, while also maintaining greater cost flexibility amid uncertain demand. Flexible staffing is evolving from a short-term response into a permanent feature of enterprise workforce planning, with organisations expected to maintain a significantly higher proportion of delivery capacity through contingent talent over the coming years. This also points to changing workforce dynamics within organisations. Mid-career professionals, particularly in execution-heavy delivery roles, are exiting or being phased out earlier than historical norms as companies flatten organisational structures, reduce management layers and eliminate duplicate functions. This also points to changing workforce dynamics within organisations. AI READINESS BECOMES THE NEW ENTRY TICKET FOR GEN Z With fresher hiring slowing and entry-level expectations rising, employers increasingly expect graduates to demonstrate practical experience with AI-assisted development, automation tools and production-ready skills before joining the workforce. A widening gap is emerging between AI-ready graduates and those entering the market with traditional technical skill sets. "It's time for the industry to move beyond measuring success by net additions alone and instead focus on the creation of AI-ready roles that will define its long-term competitiveness", said Saran. The study spotlights that while India's IT-BPM industry remains a powerful jobs engine, the nature of job creation is fundamentally changing. Traditional model of linear headcount growth tied to revenue is giving way to one driven by AI-enabled productivity and specialised talent. Growth will increasingly come from AI-native roles, GCC-led platform engineering and high-value domain expertise, while routine execution work continues to be automated. "We urge enterprises, Global Capability Centres (GCCs) and academic institutions to accelerate AI-skilling initiatives and treat workforce readiness as an immediate business priority rather than a long-term curriculum reform. This is clearly a structural reset and a temporary slowdown", he added. Looking ahead, the report highlights the hiring momentum to remain subdued through H2 2027, unless discretionary enterprise technology spending rebounds meaningfully. It suggests that the industry is likely to stabilise at a lower baseline for net additions, with AI-enabled productivity and flexible workforce models becoming permanent characteristics of India's IT services ecosystem.
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India's IT-BPM sector is bracing for one of its weakest hiring phases, with net workforce additions expected to fall below 70,000 in H1 FY27—down 26% from 95,000 last year. Companies are pivoting to AI-driven productivity and flexible talent models, signaling a structural shift away from traditional headcount-led growth.
India's IT-BPM sector is heading into one of its most challenging hiring periods in recent years, with net workforce additions projected to fall below 70,000 in the first half of FY27 (April-September), representing a decline of over 26% compared to the estimated 95,000 added during the same period last year
1
. This hiring slowdown marks a significant departure from the industry's traditional growth patterns, signaling a structural shift toward AI-driven productivity rather than a cyclical downturn2
.According to HAN Digital's India IT-BPM Workforce Outlook Report 2027, the 5.95-million-strong industry is undergoing a fundamental reset as organizations lean on AI automation, leaner operating models, and flexible talent strategies to drive efficiency
1
. The report, based on Q1 financials and insights from over 350 companies surveyed, reveals that enterprises are prioritizing targeted hiring for strategic, high-value capabilities and AI-specific roles while using contract and flexible staffing to backfill attrition rather than pursue traditional headcount-led growth1
.The IT-BPM hiring outlook is weakening across all three major segments of India's IT-BPM sector. IT services, consulting, Big 4 and product engineering firms are expected to add just 22,000-25,000 people in H1 FY27, down from 35,000 in the year-ago period
1
. Global capability centers, while remaining the strongest growth drivers, are also experiencing reduced hiring, with net workforce additions expected to drop to 30,000-32,000 in the first half from 45,000 last year1
.Hiring in global capability centers is now concentrated primarily in specialized areas such as AI/ML engineering, platform engineering, cyber technology, and domain-specialist roles rather than broad-based delivery headcount
1
. Pure-play BPOs, MLOps (machine learning operations) players and tech startups are expected to add only 8,000-10,000 people in April-September 2026, compared to 15,000 in the corresponding period last year1
.The industry is witnessing an accelerated shift from permanent hiring toward project-based outcome-driven talent models. Saravanan Balasundaram, CEO of HAN Digital Solution, explained: "We expect overall net headcount growth across India's IT-BPM industry in FY27 to remain muted compared to last year, even as hiring activity gradually improves in select segments. At the same time, contract and flexible staffing will continue to gain momentum as enterprises increasingly favour project-based, outcome-driven talent models"
1
.Enterprises are increasingly replacing attrition through contingent talent rather than expanding full-time headcount, enabling organizations to capture AI-led productivity gains while maintaining greater cost flexibility amid uncertain demand
2
. This approach is evolving from a short-term response into a permanent feature of enterprise workforce planning, with organizations expected to maintain a significantly higher proportion of delivery capacity through contract and flexible staffing over the coming years2
.By the end of FY27, the study anticipates that AI agents would have displaced a significant share of low-end technology and support work in India, including generic Java and .NET development, digital marketing execution, campaign management, L1/L2 technical support, traditional QA, customer support, and incident management
2
. This displacement is fundamentally changing the nature of job creation in the sector, with growth increasingly coming from AI-native roles, GCC-led platform engineering and high-value domain expertise, while routine execution work continues to be automated2
.Mid-career professionals, particularly in execution-heavy delivery roles, are exiting or being phased out earlier than historical norms as companies flatten organizational structures, reduce management layers and eliminate duplicate functions
2
. The top 10 major IT-BPM players in India added an estimated 12,000-14,000 employees during the quarter, marking a positive uptick but reflecting continued caution rather than a broad-based recovery2
.Related Stories
Ongoing conflicts in West Asia and macroeconomic uncertainty are pushing companies to exercise tighter cost controls
1
. Sangeeta Gupta, senior vice-president at Nasscom, noted that the West Asia crisis has heightened macroeconomic uncertainty, with customers delaying discretionary spending and slowing technology spending in sectors such as retail, travel and manufacturing1
.The projected decline is particularly significant given that Q2 and Q3 have traditionally been the industry's strongest hiring period, supported by campus onboarding and post-appraisal lateral movement. However, Q2 and Q3 FY27 hiring is expected to fall well below its historical seasonal peak, marking a significant departure from patterns observed over the past decade
2
.With fresher hiring slowing and entry-level expectations rising, employers increasingly expect graduates to demonstrate practical experience with AI-assisted development, automation tools and production-ready skills before joining the workforce
2
. A widening AI-ready talent gap is emerging between AI-ready graduates and those entering the market with traditional technical skill sets2
. Saravanan Balasundaram emphasized: "The next phase of growth will not be measured by how many people companies hire, but by the capabilities they bring into the organisation and how effectively they combine human expertise with AI"2
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