Generative AI adoption among Indian professionals has climbed sharply over the past three years — from 47% in 2024, to 64% in 2025, to 73% in 2026 — according to Michael Page's Talent Trends India 2026 report, based on a global survey of roughly 60,000 professionals. The headline isn't just that more people are using AI at work. It's that both sides of the hiring process now lean on it, which changes the dynamics of job applications in a way most candidates haven't fully adjusted to yet.
The report finds 76% of job applicants now use AI tools to tailor their resumes, cover letters, or application answers to a specific role. That's no longer a fringe tactic — it's close to the norm. The practical effect is that a generically AI-polished application no longer stands out; it reads the same as thousands of others doing exactly the same thing with the same tools.
On the other side, 78% of hiring managers say they use AI to draft job descriptions and candidate communications, and many use AI-assisted tools earlier in screening as well. The report also notes that hiring managers are confident in their ability to spot an AI-written CV — which should give candidates pause before submitting an application that reads as obviously template-generated.
The report's broader finding is that skills-first hiring is accelerating alongside AI adoption: 77% of professionals say they're more likely to apply when a job ad foregrounds specific skills over credentials, and employers increasingly say skills-based hiring produces clear, measurable benefits once adopted. Put together, the signal is that AI can help you draft faster, but what gets you through screening is still specific, verifiable evidence of what you can do — concrete project outcomes, tools you've used, metrics you've moved — not smoother prose.
The practical shift isn't that AI has made applications easier — it's made the baseline higher. When most applicants are using the same tools to sound polished, the advantage goes to whoever brings the most concrete, specific evidence that AI alone can't manufacture.