White-collar hiring in India remained stable in May 2026, driven by a surge in artificial intelligence and machine-learning roles [1, 2].
This trend highlights a shifting labor market where specialized technical skills are offsetting a decline in traditional information technology positions. As companies integrate AI into their core operations, the demand for high-level analytics and ML talent is decoupling from broader corporate hiring patterns.
According to data from Info Edge's JobSpeak Index, overall white-collar recruitment rose three percent month-over-month [2]. However, the growth was not uniform across all sectors. Hiring for AI roles jumped 34% during the same period [2].
This growth in AI and machine learning marks the fifth consecutive month of expansion for these specific roles [1]. The demand for these specialists persists even as other areas of the tech sector struggle to maintain momentum.
In contrast, traditional IT hiring fell seven percent in May [1]. The data indicates that mid-level roles within the IT sector were particularly affected, shrinking as the market evolves.
Vinnii Motiwala of CNBC TV18 presented the hiring data and said there is a disparity between the booming AI sector and the cooling traditional IT market [1]. While the broader white-collar index suggests stability, the internal movement shows a clear migration of capital, and talent toward automation and intelligence technologies.
“AI hiring jumped 34% (month‑over‑month)”
The divergence between AI growth and traditional IT decline suggests that Indian firms are not simply hiring more, but are pivoting their workforce requirements. The seven percent drop in IT roles, specifically at the mid-level, indicates that legacy technical skills are losing value while AI proficiency has become the primary driver of white-collar employment growth.
