Technology is reshaping the occupational landscape. Technological adoption has accelerated in the last few years with the increasing use of robots and automation. However, only a few pieces of literature are available that discuss how robotization and automation would change the world of work. In India, hardly any empirical research discusses the risk of robots and automation in occupations. The article estimates the industrial robot density in the manufacturing sector in India for the period 2011–2012 to 2020–2021. It also observes the workforce distribution changes by industry and occupation for the same period. Further combining the O*Net data with the Employment and Unemployment Survey data and Periodic Labour Force Survey for 2011–2012 and 2020–2021, respectively, constructs the composite index of risk of automation (RoA). The RoA index scores reveal that between 2011–2012 and 2020–2021, the automation risk in all jobs in India has increased and the risk intensity varies across occupations and industries.
AcemogluD., & AutorD. (2011). Skills, tasks and technologies: Implications for employment and earnings. In CardD. & AshenfelterO. (Eds.), Handbook of labor economics, 4, 1043–1171.
2.
AcemogluD., & AutorD. (2012). What does human capital do? A review of Goldin and Katz’s The Race between Education and Technology. Journal of Economic Literature, 50(2), 426–463.
3.
AcemogluD., & RestrepoP. (2017). Secular stagnation? The effect of aging on economic growth in the age of automation. American Economic Review, 107(5), 174–179.
4.
AcemogluD., & RestrepoP. (2018). The race between man and machine: Implications of technology for growth, factor shares, and employment. American Economic Review, 108(6), 1488–1542.
5.
AcemogluD., & RestrepoP. (2019). Automation and new tasks: How technology displaces and reinstates labor. Journal of Economic Perspectives, 33(2), 3–30.
ArntzM., GregoryT., & ZierahnU. (2016). The risk of automation for jobs in OECD countries [Working Paper No. 189], OECD, France.
8.
AtkinsonR. (2016). Technology may disrupt occupations, but it won’t kill jobs. Monthly Labor Review. U.S. Bureau of Labor Statistics. https://doi.org/10.21916/mlr.2016.8
9.
AutorD. H., LevyF. & MurnaneR. J. (2003). The skill content of recent technological change: An empirical exploration. The Quarterly Journal of Economics, 118(4), 1279–1333.
10.
BalliesterT., & ElsheikhiA. (2018). The future of work: A literature review (pp. 1–54) [Working Paper No. 29]. ILO Research Department.
11.
Barcia de MattosF., DasguptaS., JiangX., KuceraD., & SchiavoneA. F. (2020). Robotics and reshoring: Employment implications for developing countries. International Labour Organization. https://www.ilo.org/wcmsp5/groups/public/---ed_emp/documents/publication/wcms_751599.pdf
12.
BennionE. G. (1943). Unemployment in the theories of Schumpeter and Keynes. The American Economic Review, 33(2), 336–347.
13.
BessenJ. E. (2011). Was mechanization de-skilling? The origins of task-biased technical change [Working Paper]. Boston University School of Law.
14.
BessenJ. (2018). Artificial intelligence and jobs: The role of demand. In AgrawalA., GansJ. & GoldfarbA. (Eds.), The economics of artificial intelligence: An agenda (pp. 291–307). University of Chicago Press.
15.
BhattV., BahlS., & SharmaA. (2021). COVID-19 pandemic, lockdown and the Indian labour market: Evidence from Periodic Labour Force Survey 2018–2019. The Indian Economic Journal, 69(4), 750–769.
16.
BlomA., & SaekiH. (2011). Employability and skill set of newly graduated engineers in India [World Bank Policy Research Working Paper No. 5640]. World Bank.
17.
BlundellR., HamJ., & MeghirC. (1987). Unemployment and female labour supply. The Economic Journal, 97(Supplement), 44–64.
BrambillaI., CésarA., FalconeG., GaspariniL., & LombardoC. (2021). The risk of automation in Latin America [Working Paper No. 281]. CEDLAS, National University of La Plata.
20.
BrynjolfssonE., & McAfeeA. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. WW Norton & Company.
21.
ChengH., JiaR., LiD., & LiH. (2019). The rise of robots in China. Journal of Economic Perspectives, 33(2), 71–88.
22.
ChuahL. L., LoayzaN., & SchmillenA. D. (2018). The future of work: Race with—not against—the machine. Available at SSRN: https://ssrn.com/abstract=3400509orhttp://dx.doi.org/10.2139/ssrn.3400509.
23.
ChiacchioF., PetropoulosG., & PichlerD. (2018). The impact of industrial robots on EU employment and wages: A local labour market approach [Bruegel Working Paper No. 2018/02]. Bruegel.
24.
DahlinE. (2019). Are robots stealing our jobs?Socius, 5. https://doi.org/10.1177/2378023119846249
25.
DeyB. K., PaulU. K., & DasG. (2023). Are handloom micro-enterprises in India efficient? Estimation based on DEA and bootstrap truncated regression approach. Research Journal of Textile and Apparel, 27(3), 452–471.
26.
Egana-delSolP., BusteloM., RipaniL., SolerN., & ViollazM. (2022). Automation in Latin America: Are women at higher risk of losing their jobs?Technological Forecasting and Social Change, 175. https://doi.org/10.1016/j.techfore.2021.121333
27.
Fernández-MacíasE., & HurleyJ. (2017). Routine-biased technical change and job polarization in Europe. Socio-Economic Review, 15(3), 563–585.
28.
FernandesF. D. S., StasinakisC., & BardarovaV. (2018). Two-stage DEA-truncated regression: Application in banking efficiency and financial development. Expert Systems with Applications, 96, 284–301.
29.
FreyC. B., & OsborneM. A. (2017). The future of employment: How susceptible are jobs to computerization?Technological Forecasting and Social Change, 114, 254–280.
30.
FreudenbergM. (2003). Composite indicators of country performance: A critical assessment [Working Paper No. 2003/16]. OECD.
31.
GeorgieffA., & MilanezA. (2021). What happened to jobs at high risk of automation? [Policy brief on the future of work]. OECD. http://www.oecd.org/future-of-work/
32.
HammerA., & KarmakarS. (2021). Automation, AI, and the future of work in India. Employee Relations: The International Journal, 43(6), 1327–1341.
33.
KhatiwadaS., & VelosoM. K. (2019). New technology and emerging occupations: Evidence from Asia [Working Paper Series 576]. Asian Development Bank Economics.
34.
KlenertD., Fernandez-MaciasE., & AntonJ. I. (2023). Do robots really destroy jobs? Evidence from Europe. Economic and Industrial Democracy, 44(1), 280–316.
35.
KordestaniM. (2021, Dec29). Automation is driving us toward self-employment. Entrepreneur. https://www.entrepreneur.com/science-technology/automation-is-driving-us-toward-self-employment/395233
36.
KumarV. P., BalasubramanianM., & RajS. J. (2016). Robotics in the construction industry. Indian Journal of Science and Technology, 9(23), 1–12.
37.
KuriakoseF., & IyerD. K. (2020). Job polarisation in India: Structural causes and policy implications. The Indian Journal of Labour Economics, 63, 247–266.
38.
LeeB. L. (2011). Efficiency of research performance of Australian universities: A reappraisal using a bootstrap truncated regression approach. Economic Analysis & Policy, 41(3), 195–203.
39.
LewickiP., TochowiczJ., & van GenuchtenJ. (2019). Are robots taking our jobs? A RoboPlatform at a bank. IEEE Software, 36(3), 101–104.
40.
LimaY., BarbosaC. E., dos SantosH. S., & de SouzaJ. M. (2021). Understanding technological unemployment: A review of causes, consequences, and solutions. Societies, 11(2), 1–17.
41.
MaloneyW. F., & MolinaC. (2019). Is automation labor-displacing in developing countries, too?Robots, polarization, and jobs. World Bank.
42.
MannJ., & ShidelerD. (2015). Measuring Schumpeterian activity using a composite indicator. Journal of Entrepreneurship and Public Policy, 4(1), 57–84.
43.
ManyikaJ., & SneaderK. (2018). AI, automation, and the future of work: Ten things to solve for. Tech4good summit. Executive Briefing. Mckinsey Global Institute.
44.
ManiS. (2017). Robot apocalypse: Does it matter for India’s manufacturing industry? [Working Paper No. 474]. Centre for Development Studies, Trivandrum, Kerala, India.
45.
MehtaB. S., & AwasthiI. C. (2019). Industry 4.0 and future of work in India. FIIB Business Review, 8(1), 9–16.
46.
MillingtonA. K. (2017). How changes in technology and automation will affect the labour market in Africa. K4D Helpdesk Report. Institute of Development Studies.
47.
MishelL., & ShierholzH. (2017). Robots, or automation, are not the problem: Too little worker power is. Policy Commons, Bulgaria. Economic Policy Institute.
48.
NandaS. K., DashA. K., AcharyaS., & MoharanaA. (2010). Application of robotics in the mining industry: A critical review. Mining technology-extraction, beneficiation for safe & sustainable development. Indian Mining & Engineering Journal, Mine TECH, 10, 108–112.
49.
NippaniA. (2020). Automation and labour in India: Policy implications of job polarisation pre and post COVID-19 crisis. Manpower Journal, LIV(3–4), 19–39..
50.
OECD/European Union/EC-JRC (2008). Handbook on constructing composite indicators: Methodology and user guide. OECD Publishing. https://doi.org/10.1787/9789264043466-en
51.
OECD (2017). Future of work and skills [Paper presentation]. Paper Presented at the Second Meeting of the G-20 Employment Working Group. OECD.
52.
PhiromswadP., SrivannaboonS., & SarajotiP. (2022). The interaction effects of automation and population aging on the labor market. PLOS One, 17(2), e0263704.
53.
PlumwongrotP., & PholphirulP. (2023). Are robots stealing jobs? Empirical evidence from 10 developing countries. Economics of Innovation and New Technology, 32(6), 873–889.
54.
PouliakasK. (2018). Determinants of automation risk in the EU labour market: A skills-needs approach [IZA Discussion Paper No. 11829]. Institute of Labour Economics (IZA), Bonn.
55.
PetropoulosG. (2018). The impact of artificial intelligence on employment. In NeufeindM., O’ReillyJ., & RanftF. (Eds.), Praise for work in the digital age (Vol. 119, pp. 119–133). https://onwork.edu.au/bibitem/2018-Petropoulos,Georgios-The+Impact+of+Artificial+Intelligence+on+Employment-excerpt+p.121/
56.
SainzP. (1989, July). An index of social welfare. In Towards a new way to measure development. Report on the international meeting on more effective development indicators (pp. 156–160). Office of the South Commission Caracas.
57.
SinghJ., KapoorS., & SinghN. (2021). Industrial development in India: Mapping the contribution, growth, and regional disparity. Satyam Law International.
58.
SolowR. M. (1956). A contribution to the theory of economic growth. The Quarterly Journal of Economics, 70(1), 65–94.
59.
SrivastavaS. K., SinghN. P., SinghJ., RaoK. V., & BalajiS. J. (2019). Agriculture development-based mapping of agro-ecological sub-regions and its implications for doubling farmers’ income in India. Current Science, 117(2), 282–287.
60.
SundstrupE., MengA., AjslevJ. Z., AlbertsenK., PedersenF., & AndersenL. L. (2022). New technology and loss of paid employment among older workers: Prospective cohort study. International Journal of Environmental Research and Public Health, 19(12), 7168.
61.
SummersL. H. (2013). Economic possibilities for our children. NBER Reporter, (4), 1–6. http://hdl.handle.net/10419/103251
62.
TanY. (2014). Performance, risk, and competition in the Chinese banking industry. Chandos Publishing.
63.
The Economic Times (2016). Which IT jobs will survive automation?https://economictimes.indiatimes.com/wealth/earn/which-it-jobs-will-survive-automation-find-out/articleshow/53127553.cms?from=mdr
64.
TussyadiahI., TuomiA., LingE., MillerG., & LeeG. (2022). Drivers of organizational adoption of automation. Annals of Tourism Research, 93(6), 103308.
65.
VargheseF. C. (2017). The impact of automation in IT industry: Evidence from India. International Journal of Engineering & Science, 7(3), 5000–5004.
66.
VashishtP. (2018). Destruction or polarization: Estimating the impact of technology on jobs in Indian manufacturing. The Indian Journal of Labour Economics, 61, 227–250.
67.
VashishtP., & RaniN. (2020). Automation and the future of garment sector jobs in India. The Indian Journal of Labour Economics, 63, 225–246.
68.
World Economic Forum, J. (2020). The future of jobs report 2020. Retrieved from https://www.weforum.org/reports/the-future-of-jobs-report-2020
