Artificial Intelligence And Employment In India

Source: Indian Express
GS III: Issues relating to Employment


Overview

  • Artificial Intelligence (AI) is emerging as a key driver of economic transformation, influencing productivity, innovation, and the future of work.
  • Its growing adoption across sectors is reshaping workforce requirements and highlighting the need for adaptive skills, responsive labour policies, and robust digital infrastructure.
  • For India, leveraging AI while ensuring inclusive employment and equitable access to opportunities will be crucial for achieving sustainable and technology-led growth.

Why in the News?

Recently, debates on AI and employment have intensified after changing hiring patterns in India’s IT sector, with some firms reducing entry-level recruitment while others continue large-scale hiring.

News in Brief

  • AI is reshaping the labour market by changing the nature of jobs rather than causing only direct layoffs.
  • Entry-level hiring has slowed in several sectors, while new AI-related occupations such as data annotation, AI training, and AI services are expanding.
  • Experts stress the need for occupation-level data and evidence-based policies to guide reskilling and workforce planning.
How AI Changes Work

  • Artificial Intelligence is changing the nature of work by automating routine and repetitive tasks, allowing organisations to improve efficiency and productivity.
  • Rather than eliminating entire occupations, many companies are redesigning job roles, with employees increasingly working alongside AI systems.
  • This shift has reduced demand for some entry-level and repetitive jobs while creating new opportunities for skilled professionals in areas such as AI development, data annotation, model training,
  • AI governance, and human-machine collaboration. As a result, AI is transforming workforce requirements, making continuous upskilling and reskilling essential for future employment.
Employment Effects

  • Artificial Intelligence is changing employment patterns by slowing fresh graduate recruitment in parts of the IT sector and reducing demand for routine coding, basic customer support, and repetitive administrative work.
  • At the same time, it is creating new career opportunities in areas such as data annotation, AI model training, AI safety, AI governance, prompt engineering, and AI-enabled business services, reflecting a shift towards higher-skilled and technology-driven roles.
Measuring The Impact

  • AI’s impact is often difficult to measure because it may reduce the number of jobs created rather than trigger large-scale layoffs.
  • Traditional labour market statistics like  Periodic Labour Force Survey (PLFS) do not adequately capture occupation-level AI exposure.
  • This highlights the need for more comprehensive and real-time labour market information, including data from job portals, payroll records, employer surveys, and industry databases, to accurately assess AI’s effects and help policymakers to design effective workforce policies.

Periodic Labour Force Survey (PLFS)

  • Conducted by the National Statistical Office (NSO).
  • Measures employment, unemployment, labour force participation, and worker population ratio.
  • Provides annual rural-urban estimates and high-frequency urban employment data.
Challenges

  • Artificial Intelligence presents several challenges for India’s labour market.
  • Fresh graduates are facing longer waiting period to find a job and enter into the workforce as demand for routine entry-level jobs declines.
  • A significant skill gap persists because educational curricula often do not align with evolving industry requirements, while the digital divide limits access to AI tools, infrastructure, and training, particularly in rural and underserved regions.
  • AI-driven technological change also risks widening income and employment inequalities between high-skilled and low-skilled workers.
  • These challenges underscore the need for policies that balance productivity gains through AI with the creation of inclusive employment opportunities, supported by large-scale reskilling and digital inclusion initiatives.

World Economic Forum (WEF) on Future of Employment

  • According to the World Economic Forum (WEF), AI will transform work by displacing 92 million jobs while creating 170 million new roles by 2030.
  • Artificial Intelligence is expected to transform rather than eliminate employment.
  • While AI is likely to displace some routine and repetitive jobs through automation, it will also create new technology-driven occupations requiring advanced digital and analytical skills.
  • The WEF emphasises that the future of employment will largely depend on workers’ ability to reskill, upskill, and adapt to changing technological and industry demands.
Government Initiatives

Technology and Digital Infrastructure

  • IndiaAI Mission– Backed by a multi-billion rupee allocation, it builds national computing power, high-quality datasets, and AI labs to foster homegrown tech innovation and ethical AI use.
  • Digital India Programme– Serves as the overarching umbrella providing digital public infrastructure (like Aadhaar, UPI, and DigiLocker) to transform governance, service delivery, and digital literacy across rural and urban sectors.

Skilling  Capabilities

  • Skill India Mission- The core national drive to train hundreds of millions of youth in industry-relevant vocational and technical trades.
  • FutureSkills Prime- A collaborative public-private online platform (by MeitY and NASSCOM) focused on emerging technologies like AI, cloud computing, IoT, and cybersecurity.
  • Pradhan Mantri Kaushal Vikas Yojana (PMKVY)- The flagship skill certification scheme (currently running advanced iterations like PMKVY 4.0) that integrates new-age courses such as robotics, drone tech, and AI with on-the-job training.

Education Reform

  • National Education Policy (NEP) 2020 – Realigns formal education by bridging the gap between academic learning and vocational training, promoting critical thinking, flexible multi-disciplinary entry-exit points, and early technological integration.
Way Forward & Conclusion

India should adopt a balanced approach that harnesses the productivity gains of Artificial Intelligence while ensuring inclusive employment growth. This requires strengthening AI literacy, promoting continuous upskilling and reskilling, aligning education with industry needs, and improving labour market data to monitor AI’s impact.

Expanding digital infrastructure and encouraging human-AI collaboration will help workers adapt to technological change. With proactive policies and investment in human capital, AI can become a catalyst for innovation, competitiveness, and sustainable job creation rather than a source of widespread job displacement.

Key Takeaways

 

Click image to enlarge for better readability

UPSC Prelims and Mains Practice Question

Consider the following statements regarding Artificial Intelligence (AI) and employment:

  1. Artificial Intelligence can reduce employment by preventing the creation of certain new jobs, even without causing large-scale layoffs.
  2. Data annotation and AI model training have emerged as new employment opportunities due to the growth of AI.
  3. The Periodic Labour Force Survey (PLFS) currently provides occupation-wise data on AI exposure in the workforce.

Which of the statements given above is/are correct?

A. 1 and 2 only
B. 2 and 3 only
C. 1 and 3 only
D. 1, 2 and 3

Answer: A

Mains Practice Question

Q. “Artificial Intelligence is transforming the nature of work rather than simply eliminating jobs.” Discuss the opportunities and challenges posed by AI for India’s labour market and suggest policy measures to ensure inclusive employment growth. (250 Words)


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