AI Impact on India's Labour Market

Theoretical capability: Claude (LLM) can perform 94% of tasks for computer & math professionals.
Observed usage: Currently only ≈33% of those tasks are actually performed by Claude in workplaces.
High‑exposure jobs: Computer programmers, customer‑service reps, financial analysts; sectors – business, finance, IT, engineering, law, office admin.
Insulated sectors: Construction, agriculture, protective services, personal care.
Entry‑level hiring decline: 14% drop for ages 22‑25 since ChatGPT launch (late 2022).
Demographic profile of most exposed workers:
54.4% female
65.1% White, Asian workers ~2× more likely than others
Graduate‑degree holders ~4× more likely
Average age 42.9 years
India‑specific impact: Nifty IT index & major IT stocks (TCS, Wipro, Infosys) fell >20% in the last year; AI tools automate data processing, contract analysis, compliance monitoring, customer support.

Anthropic’s “observed exposure” metric moves beyond theoretical AI capability to capture real‑world deployment.
Rapid diffusion of Generative AI (ChatGPT, Claude, DALL‑E, Midjourney) since 2022 has accelerated automation of routine, knowledge‑intensive tasks.
The “hourglass effect” creates high demand for senior specialists while squeezing mid‑level and entry‑level roles.

Economic risk: Large share of Indian employment in IT services and BPOs faces automation pressure.
Skill gap: Low R&D spending and inadequate STEM education amplify vulnerability.
Social impact: Potential rise in structural unemployment, especially for fresh graduates.

Social Security Code, 2020 – portable benefits for gig and platform workers.
FutureSkills PRIME / Skilling for AI Readiness – government‑funded AI‑related up‑skilling.
Pradhan Mantri Kaushal Vikas Yojana (PMKVY 4.0) – broader skill development.
NITI Aayog Roadmap for Job Creation in the AI Economy (2023) and National Strategy for Artificial Intelligence (2018) – strategic vision.

Education reform – embed AI literacy, data ethics, algorithms in school curricula.
National re‑skilling pipeline – tax credit for firms that up‑skill employees in prompt engineering, data annotation, robotics maintenance.
Cobotics – collaborative robots to augment, not replace, human workers (e.g., AI‑assisted call‑centre agents).
Apprenticeship sandboxes – allow junior IT staff to work with AI tools while being evaluated on innovation.
MSME cyber‑resilience – subsidised “AI firewall as a service” to protect IP.
Robust implementation of Social Security Code – ensure pension/health portability for gig workers.

Article 41 (Directive Principle) – State’s duty to secure a right to work and livelihood.
Article 46 – Promotion of educational and economic interests of weaker sections, supporting inclusive AI‑skill initiatives.

Prepared for UPSC Civil Services Examination – GS Paper 3 (Economy & Technology) and GS Paper 2 (Governance).