A Handbook of Commerce and Management
ISBN: 978-93-93166-72-2
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Automation and Artificial Intelligence in the Currrent Scenario of Labour Market in India

 Prof. (Dr.)Savita Mohan
Principal
Management
GNIOT Institute of Professional Studies
 Greater Noida, U.P., India 
Dr. Nishant Kumar Gupta
Assistant Professor
Management
GNIOT Institute of Professional Studies
Greater Noida, U.P., India

DOI:10.5281/zenodo.10722098
Chapter ID: 18572
This is an open-access book section/chapter distributed under the terms of the Creative Commons Attribution 4.0 International, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Intoduction

Automation and Artificial Intelligence (AI) areclosely interconnected concepts that have been transforming various aspects of our lives, industries, and societies.Automation reduces human labor for routine tasks, while AI simulates human intelligence with machines that learn, reason, and act independently.The integration of AI and automation offers numerous benefits to businesses, the economy, and society, but also raises concerns about job disruption and work nature.The rapid growth of Automation and Artificial Intelligence has sparked significant debate on its impact on society.

Automation:

Automation refers to the use of technology and systems to perform tasks with minimal human intervention. It is a system that performs repetitive tasks without human intervention, widely used in various industries such as e-commerce, banking, and telecommunications. It involves the creation and implementation of processes, tools, and systems that can operate automatically, often in repetitive or routine tasks. This inclueds simple, repetitive tasks to complex processes. Automation aims to improve efficiency, reduce errors, and save time and resources. In industries, automation has been employed in manufacturing, logistics, customer service, and many other areas. Automation typically involves the use of software, robotics, artificial intelligence, and other technologies to streamline workflows, improve productivity, and optimize resource utilization. Robotic arms in factories automate assembly processes, while software bots automate data entry tasks.For Example:- When we book an appointment with the doctor and receive an email/message before our appointment, this is like an automated response.

Artificial Intelligence (AI):

Artificial Intelligence, also known as AI,is the development of computer systems capable of performing tasks that normaly require human intelligence. This includes tasks like reasoning,learning, understanding language, perception, problemsolving and decision-making. AI system can be devided into two parts- Narrow AI and General AI. Narrow AI, also known as Weak AI,  is designed for specific taskswithin a limited domain, such as playing chess, recognizing speech, or recommending products online.Genral AI, also known as Strong AI or AGI (Artificial General Intelligence), is just like a human intelligence. AGI has the ability to understand, learn, and apply knowledge across various domains, similar to human intelligence.AI techniques may include Machine Learning, Natural Language Processing, Computer Vision and Robotics.

Automation and Artificial Intelligence (AI) are transforming industries worldwide, with India at the forefront. With a large workforce and tech sector, India is at the forefront of this transformation. However, these technologies present both opportunities and challenges to the labor market, potentially altering job roles, skill requirements, and employment patterns. This chapter examines the multifaceted impacts of automation and AI on India's labor market.

Impact of Automation and AI on Labour Market of India

1. Automation and AI: Drivers of Transformation

Automation and AI technologies are revolutionizing various industries, including IT, manufacturing, healthcare, and agriculture in India. These advancements are transforming tasks from administrative to complex data analysis, streamlining processes, reducing costs, and improving quality. This has enhanced competitiveness in both domestic and global markets.

AI-powered technologies like machine learning and natural language processing are revolutionizing businesses with predictive analytics, personalized customer experiences, and autonomous decision-making. India's tech ecosystem, characterized by a thriving startup culture and skilled workforce, is driving growth and creating new employment opportunities.

2. Opportunities for Employment and Economic Growth

Automation and AI in India can create new employment opportunities and drive economic growth by freeing up human capital for innovation and creativity, and increasing demand for skilled AI workers in data scientists, engineers, and robotics specialists.

India's demographic dividend, characterized by a young and increasingly educated workforce, presents a significant advantage in this regard. Investments in education and skill development programs tailored to the needs of the digital economy can equip Indian workers with the expertise required to thrive in an automated world. Additionally, the proliferation of AI-driven startups and initiatives aimed at fostering innovation, such as the government's 'Digital India' and 'Make in India' campaigns, are poised to stimulate job creation and propel economic development.

3. Challenges and Displacement Effects

However, the widespread adoption of automation and AI also poses challenges to India's labor market, particularly for workers engaged in routine, repetitive tasks susceptible to automation. Industries such as manufacturing, retail, and business process outsourcing (BPO) are likely to experience job displacement as machines increasingly take over mundane tasks. Moreover, the pace of technological change may outstrip the ability of workers to adapt, exacerbating skills mismatches and widening income inequality.

Automation threatens white-collar professions like accounting, legal services, and customer support, while the gig economy presents challenges like job insecurity and social protections, eroding traditional employment relationships.

4. Policy Implications and Mitigation Strategies

To tackle automation and AI challenges, policymakers, businesses, and civil society must work together. Governments can mitigate the negative effects by investing in education and lifelong learning initiatives. Inclusive growth policies, like social safety nets, labor market reforms, and income support mechanisms, can cushion job displacement and ensure fair distribution of automation benefits.

Fostering an innovation and entrepreneurship ecosystem can boost job creation and enable workers to transition into emerging industries. This involves providing financing, fostering collaboration between academia and industry, and creating supportive regulatory frameworks.

5. Skill Upgradation:

The demand for workers with advanced technical skills like programming, data analysis, and AI is increasing, leading to a focus on skill upgradation and retraining programs.

6. Rise of Gig Economy:

Automation has boosted India's gig economy, enabling freelance work and short-term digital contracts. This presents both opportunities and challenges in terms of job security, benefits, and labor rights.

7. Impact on Traditional Industries:

Traditional industries like agriculture, textiles, and retail are also being affected. Automation in agriculture, for instance, is leading to increased mechanization and efficiency but may also result in reduced demand for manual labor.

8. Policy Implications:

Governments and policymakers are grappling with the implications of automation on the labor market. There's a need for policies that support job creation in emerging industries while also ensuring that workers are adequately protected and have access to education and training programs.

9. Economic Growth and Inequality:

Automation and AI have the potential to drive economic growth by increasing productivity and efficiency. However, there are concerns about widening income inequality, as those with the right skills and access to technology benefit disproportionately compared to others.

10. Opportunities for Innovation and Entrepreneurship:

Automation and AI also present opportunities for innovation and entrepreneurship in India. Startups are emerging in areas like AI, robotics, and automation, contributing to job creation and economic growth.

Implications for Policy and Society:

1. Education and Training:

Investing in education and training programs is crucial for equipping workers with the necessary skills for future jobs.

2. Social Safety Nets:

Implementing social safety nets like unemployment benefits, retraining programs, and income support can mitigate the negative effects of job displacement.

3. Regulatory Frameworks:

Developing regulations and policies to ensure that the benefits of automation are distributed equitably and that workers are protected from exploitation and unfair labor practices.

4. Innovation and Entrepreneurship:

Encouraging innovation and entrepreneurship can create new opportunities for job creation and economic growth in emerging industries.

Conclusion

Automation and AI are significantly altering India's labor market, presenting both opportunities and challenges. While they can boost productivity and economic growth, they also raise concerns about job displacement, skills mismatches, and income inequality. To navigate this transition, India should invest in human capital, adopt inclusive policies, and embrace innovation. However, it's crucial for stakeholders to address these issues to ensure the benefits of automation are shared more widely across society. This will help India navigate the transition towards an automated future.

References

1. Organisation for Economic Co-operation and Development. (2021). The future of work in the age of artificial intelligence. Paris, France: Organisation for Economic Co-operation and Development. https://www.oecd.org/employment/future-ofwork/the-future-of-work-in-the-age-of-artificialintelligence.htm

2. European Commission. (2019). Artificial intelligence for Europe: A strategy for competitiveness, innovation and better governance. Brussels, Belgium: European Commission. https://ec.europa.eu/digital-singlemarket/en/news/artificial-intelligence-europe-strategycompetitiveness- innovation-and-better-governance

3. McKinsey Global Institute. (2018). Artificial intelligence: The next digital frontier? San Francisco, CA: McKinsey & Company. https://www.mckinsey.com/businessfunctions/digital-mckinsey/our-insights/artificialintelligence-the-next-digital-frontier

4. Ajay Agrawal et al. (2018). Exploring the Impact of Artificial Intelligence.  Predictionversus Judgement. Working Paper 24626, http://www.nber.org/papers/w24626.pdf

5. Frey, C. B., & Osborne, M. A. (2013). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 80(7), 1401-1414. https://doi.org/10.1016/j.techfore.2013.01.019

6. Forbes Technology Council (March 2018). 14 ways AI will benefit or harm society,www.forbes.com