India tech hiring declines amid AI and US immigration shifts

India's tech hiring hit a new trough in June, with 93,000 active tech job openings recorded, the lowest in 28 months, representing a 14% month-on-month and 17% year-on-year decline, per the Active Tech Jobs Outlook report from specialist staffing firm Xpheno as reported by Economic Times CIO. The article cites three principal drivers reported by industry sources: global economic uncertainty, changes in US immigration policy, and accelerated adoption of AI-enabled productivity tools. "There's a structural reset underway...revenue growth is getting decoupled from headcount growth," said Nitin Bhatt, technology sector leader at EY India. Kamal Karanth, Xpheno cofounder, linked the low outlook to looming uncertainties around the H-1B programme and other geo-economic events.

The coverage frames the hiring decline as linked to productivity gains from AI and a shift toward outcome-based delivery and platform-driven services rather than pure headcount-based billing. Industry-pattern observations indicate that automation and platformization typically compress demand for routine engineering and service roles while increasing demand for integration, model-operationalization, and outcome-engineering skills. Retraining frictions are commonly reported when firms try to redeploy large existing workforces into higher-value AI-related tasks.

For practitioners and hiring managers, the reported contraction is significant because India's talent export model is sensitive to both global demand cycles and visa policy changes in large client markets. Industry context: staffing and recruitment metrics in services-oriented markets are often hyper-elastic to policy and geopolitical shifts; when H-1B uncertainty rises, recruiters and firms pause hiring or delay offshore staffing decisions.

Observers should track monthly Xpheno/industry staffing reports for reversal or continued decline, announcements from major Indian IT employers about workforce reclassification or reskilling programs, and any stabilizing signals from US visa policy or large client budgets. Industry context: sustained declines would likely accelerate emphasis on AI-native tooling, platform offerings, and higher-value engineering roles rather than large-volume hiring of routine positions.