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AI/ML Hiring Surges 20% in September as White‑Collar Market Holds Steady

AI/ML Hiring Surges 20% in September as White‑Collar Market Holds Steady
67 Hiring Statistics for 2026 | National University
67 Hiring Statistics for 2026 | National University

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In September, India’s white‑collar job market showed modest overall growth but a striking rise in AI and machine learning (AI/ML) positions. The Naukri JobSpeak Index edged up to 3,053, reflecting a 2% year‑on‑year increase in white‑collar hiring, while AI/ML roles jumped 20% year‑on‑year, outpacing other sectors such as auto (11%).

Key developments:

  • AI/ML demand led sectoral growth, especially for mid‑career talent with 13‑16 years of experience, underscoring employers’ push for specialized technical expertise.
  • Traditional industries like hospitality and education saw hiring declines, highlighting a broader shift toward skill‑focused recruitment.
  • Metro dynamics varied: Hyderabad posted the strongest hiring growth, whereas Mumbai and Delhi‑NCR experienced a 6% contraction.

Why it matters:

  • The surge signals that companies are prioritizing AI capabilities to stay competitive, suggesting that future hiring budgets will allocate a larger share to tech talent.
  • Stable overall white‑collar numbers indicate that while volume growth is modest, the quality and specialization of hires are accelerating, reshaping talent pipelines.

What to watch next:

  • Continued expansion of AI/ML hiring across other Indian metros and tier‑II/III cities as firms broaden their talent pools.
  • Potential ripple effects on salary benchmarks for AI/ML professionals, given the heightened demand for experienced candidates.
  • Monitoring of sectoral shifts, especially whether other knowledge‑intensive fields begin to mirror the AI‑driven hiring momentum. [[1]]

Sources

  1. economictimes.indiatimes.com

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