Is a College Education Still Enough? The IT-Labor Relationship with Education Level, Task Routineness, and Artificial Intelligence
Published Online:10 Aug 2023https://doi.org/10.1287/isre.2021.0391
References
- (1998) Why do new technologies complement skills? Directed technical change and wage inequality. Quart. J. Econom. 113(4):1055–1089.Crossref, Google Scholar
- (2011) Skills, tasks and technologies: Implications for employment and earnings. Card D, Ashenfelter O, eds. Handbook of Labor Economics (North Holland, Amsterdam), 1043–1171.Google Scholar
- (2019) Automation and new tasks: How technology displaces and reinstates labor. J. Econom. Perspect. 33(2):3–29.Crossref, Google Scholar
- (2020) Robots and jobs: Evidence from US labor markets. J. Polit. Econom. 128(6):2188–2244.Crossref, Google Scholar
- (2022) Artificial intelligence and jobs: Evidence from online vacancies. J. Labor Econom. 40(S1):S293–S340.Crossref, Google Scholar
- (1938) Mathematical Analysis for Economists (Macmillan, London).Google Scholar
- (2019) Is a bachelor’s degree enough or only the first step? Golden Gate Xpress (May 21), https://goldengatexpress.org/89218/latest/opinion/is-a-bachelors-degree-enough-or-only-the-first-step/.Google Scholar
- (2020) Explainable artificial intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Inform. Fusion 58:82–115.Crossref, Google Scholar
- Associated Press (2019) Over 30 million U.S. workers will lose their jobs because of AI. https://www.marketwatch.com/story/ai-is-set-to-replace-36-million-us-workers-2019-01-24.Google Scholar
- (2016) On the longitudinal effects of IT use on firm-level employment. Inform. Systems Res. 27(1):6–26.Link, Google Scholar
- (2014) Skills, education, and the rise of earnings inequality among the “other 99 percent.” Science 344(6186):843–851.Crossref, Google Scholar
- (2013) The growth of low-skill service jobs and the polarization of the US labor market. Amer. Econom. Rev. 103(5):1553–1597.Crossref, Google Scholar
- (2006) The polarization of the US labor market. Amer. Econom. Rev. 96(2):189–194.Crossref, Google Scholar
- (2008) Trends in U.S. wage inequality: Revising the revisionists. Rev. Econom. Statist. 90(2):300–323.Crossref, Google Scholar
- (1998) Computing inequality: Have computers changed the labor market? Quart. J. Econom. 113(4):1169–1213.Crossref, Google Scholar
- (2003) The skill content of recent technological change: An empirical exploration. Quart. J. Econom. 118(4):1279–1333.Crossref, Google Scholar
- (2017) Emergent themes in the interface between economics of information systems and management of technology. Production Oper. Management 26(4):652–666.Crossref, Google Scholar
- (1987) The comparative advantage of educated workers in implementing new technology. Rev. Econom. Statist. 69(1):1–11.Crossref, Google Scholar
- (2016) The great reversal in the demand for skill and cognitive tasks. J. Labor Econom. 34(S1):199–247.Crossref, Google Scholar
- (1962) Investment in human capital: A theoretical analysis. J. Polit. Econom. 70(5):9–49.Crossref, Google Scholar
- (2009) Accuracy of machine learning models versus “hand crafted” expert systems—a credit scoring case study. Expert Systems Appl. 36(3):5264–5271.Crossref, Google Scholar
- (1992) High-tech capital formation and labor composition in U.S. manufacturing industries: An exploratory analysis. NBER Working Paper 4010, National Bureau of Economic Research, Cambridge, MA.Google Scholar
- (2019) Many youths say a high school diploma is enough to succeed, poll shows. Experts are alarmed. USA Today (November 12), https://www.usatoday.com/story/news/education/2019/11/12/high-school-diploma-vs-college-degree-what-young-americans-value/2573037001/.Google Scholar
- (1989) Will the real elasticity if substitution please stand up? (A comparison of the Allen/Uzawa and Morishima elasticities). Amer. Econom. Rev. 79(4):882–888.Google Scholar
- (1992) Changes in the structure of wages in the 1980s: An evaluation of alternative explanations. Amer. Econom. Rev. 82(3):371–392.Google Scholar
- (2002) Information technology, workplace organization, and the demand for skilled labor: Firm-level evidence. Quart. J. Econom. 117(1):339–376.Crossref, Google Scholar
- (2018) Artificial Unintelligence: How Computers Misunderstand the World (MIT Press, Cambridge, MA).Crossref, Google Scholar
- (2016) YOUR job won’t exist in 20 years: Robots and AI to ‘eliminate’ ALL human workers by 2036. Daily Express (February 5), https://www.express.co.uk/life-style/science-technology/640744/Jobless-Future-Robots-Artificial-Intelligence-Vivek-Wadhwa.Google Scholar
- (1996) Paradox lost? Firm-level evidence on the returns to information systems spending. Management Sci. 42(4):541–558.Link, Google Scholar
- (2000) Beyond computation: Information technology, organizational transformation and business performance. J. Econom. Perspect. 14(4):23–48.Crossref, Google Scholar
- (2012) Race Against the Machine: How the Digital Revolution Is Accelerating Innovation, Driving Productivity, and Irreversibly Transforming Employment and the Economy, 1st ed. (Digital Frontier Press, Lexington, MA).Google Scholar
- (2017) What can machine learning do? Workforce implementations. Science 358(6370):1530–1534.Crossref, Google Scholar
- Bureau of Labor Statistics (2015) Long-term price trends for computers, TVs, and related items. Accessed July 27, 2023, https://www.bls.gov/opub/ted/2015/long-term-price-trends-for-computers-tvs-and-related-items.htm.Google Scholar
- Bureau of Labor Statistics (2020) Employment Cost Index: Wages and salaries: private industry workers. Accessed July 27, 2023, https://fred.stlouisfed.org/series/ECIWAG.Google Scholar
- (2014) Stephen Hawking warns artificial intelligence could end mankind. BBC (December 2), https://www.bbc.com/news/technology-30290540.Google Scholar
- (1988) Applied Production Approach: A Dual Approach (Cambridge University Press, Cambridge, UK).Google Scholar
- (2012) Relative industry concentration and customer-driven IT spillovers. Inform. Systems Res. 23(2):340–355.Link, Google Scholar
- (2010) Does technological progress alter the nature of information technology as a production input? New evidence and new results. Inform. Systems Res. 21(2):392–408.Link, Google Scholar
- (2019) Gartner says global IT spending to grow 1.1 percent in 2019. Accessed July 27, 2023, https://www.gartner.com/en/newsroom/press-releases/2019-04-17-gartner-says-global-it-spending-to-grow-1-1-percent-i.Google Scholar
- (2006) Competing on analytics. Harvard Bus. Rev. 84(1):98–107.Google Scholar
- (2015) Beyond automation. Harvard Bus. Rev. 93(6):59–65.Google Scholar
- (2020) Earnings dynamics, changing job skills, and STEM careers. Quart. J. Econom. 135(4):1965–2005.Crossref, Google Scholar
- (1997) The substitution of information technology for other factors of production: A firm level analysis. Management Sci. 43(12):1660–1675.Link, Google Scholar
- (2021) Occupational, industry, and geographic exposure to artificial intelligence: A novel dataset and its potential uses. Strategic Management J. 42(12):2195–2217.Crossref, Google Scholar
- (2013) Could artificial intelligence create an unemployment crisis? Commun. ACM 56(7):37–39.Crossref, Google Scholar
- (1998) Information technology and worker composition: Determinants of productivity in the life insurance industry. MIS Quart. 22(2):227–241.Crossref, Google Scholar
- (2017) The future of employment: How susceptible are jobs to computerisation? Tech. Forecasting Soc. Change 114:254–280.Crossref, Google Scholar
- (2022) Cognitive challenges in human–artificial intelligence collaboration: Investigating the path toward productive delegation. Inform. Systems Res. 33(2):678–696.Link, Google Scholar
- (1998) The origins of technology-skill complementarity. Quart. J. Econom. 113(3):693–732.Crossref, Google Scholar
- Goldman Sachs (2023) Generative AI could raise global GDP by 7%. Accessed July 27, 2023, https://www.goldmansachs.com/insights/pages/generative-ai-could-raise-global-gdp-by-7-percent.htmlGoogle Scholar
- (2007) Lousy and lovely jobs: The rising polarization of work in Britain. Rev. Econom. Statist. 89(1):118–133.Crossref, Google Scholar
- (2009) Job polarization in Europe. Amer. Econom. Rev. 99(2):58–63.Crossref, Google Scholar
- (2014) Explaining job polarization: Routine-biased technological change and offshoring. Amer. Econom. Rev. 104(8):2509–2526.Crossref, Google Scholar
- (2008) College for some to college for all: Social background, occupational expectations, and educational expectations over time. Soc. Sci. Res. 37(2):461–484.Crossref, Google Scholar
- (1932) The Theory of Wages, 2nd ed. (Macmillan, London).Google Scholar
- (1999) The role of information technology in modern production: Complement or substitute to other inputs? Working paper, University of Pennsylvania, Philadelphia.Google Scholar
- (2012) Social and economic returns to college education in the United States. Annu. Rev. Sociol. 38:379–400.Crossref, Google Scholar
- (1983) The robotics are coming. Human Resources Implications of Robotics (W. E. Upjohn Institute for Employment Research, Kalamazoo, MI), 1–17.Crossref, Google Scholar
- (2020) Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World (Harvard Business Review Press, Boston).Google Scholar
- (2020) Can artificial intelligence (AI) substitute or complement managers? Divergent outcomes for transformational and transactional managers in a field experiment. Working paper, University of Southern California.Google Scholar
- (2015) Machine learning: Trends, perspectives, and prospects. Science 349(6245):255–260.Crossref, Google Scholar
- (2021) Augmenting medical diagnosis decisions? An investigation into physicians’ decision-making process with artificial intelligence. Inform. Systems Res. 32(3):713–735.Link, Google Scholar
- (2006) Generalized reduced rank tests using the singular value decomposition. J. Econometrics 133(1):97–126.Crossref, Google Scholar
- (1993) How computers have changed the wage structure: Evidence from microdata, 1984-1989. Quart. J. Econom. 108(1):33–60.Crossref, Google Scholar
- (2004) Skill-specific rather than general education: A reason for US-Europe growth differences? J. Econom. Growth 9(2):167–207.Crossref, Google Scholar
- (1952) Machine and man. Sci. Amer. 187(3):150–164.Crossref, Google Scholar
- (2018) Computers and populism: Artificial intelligence, jobs, and politics in the near term. Oxford Rev. Econom. Policy 34(3):393–417.Crossref, Google Scholar
- (2004) The New Division of Labor: How Computers Are Creating the Next Job Market (Princeton University Press, Princeton, NJ).Crossref, Google Scholar
- (2020) The global distribution of routine and non-routine work. IBS Working Paper, Instytut Badan Strukturalnych, Warsaw.Google Scholar
- (2011) Immigration, skill mix, and capital skill complementarity. Quart. J. Econom. 126(2):1029–1069.Crossref, Google Scholar
- (2004) The effect of education on crime: Evidence from prison inmates, arrests, and self-reports. Amer. Econom. Rev. 94(1):155–189.Crossref, Google Scholar
- (2018) Does technology substitute for nurses? Staffing decisions in nursing homes. Management Sci. 64(4):1842–1859.Link, Google Scholar
- (2019) Frontiers: Machines vs. humans: The impact of artificial intelligence chatbot disclosure on customer purchases. Marketing Sci. 38(6):937–947.Abstract, Google Scholar
- (2022) Threatened by AI: Analyzing users’ responses to the introduction of AI in a crowd-sourcing platform. Inform. Systems Res., ePub ahead of print November 15, https://doi.org/10.1287/isre.2022.1184.Link, Google Scholar
- (2004) We can work it out: The impact of technological change on the demand for low-skill workers. Scottish J. Polit. Econom. 51(5):581–608.Crossref, Google Scholar
- (2017) A future that works: Automation, employment, and productivity. McKinsey Global Institute, New York.Google Scholar
- (2014) Has ICT polarized skill demand? Evidence from eleven countries over twenty-five years. Rev. Econom. Statist. 96(1):60–77.Crossref, Google Scholar
- (1974) Schooling, Experience, and Earnings (Columbia University Press, New York).Google Scholar
- (2010) Are foreign IT workers cheaper? US visa policies and compensation of information technology professionals. Management Sci. 56(5):745–765.Link, Google Scholar
- (2009) Investments in information technology: Indirect effects and information technology intensity. Inform. Systems Res. 20(1):140–154.Link, Google Scholar
- (2004) Estimating the social return to higher education: Evidence from longitudinal and repeated cross-sectional data. J. Econometrics 121(1–2):175–212.Crossref, Google Scholar
- (1967) Danryokusei rison ni kansuru ni-san no teian (a few suggestions on the theory of elasticity). Keizai Hyoron (Econom. Rev.) 16:144–150.Google Scholar
- (2011) Information technology and the changing workplace in Canada: Firm-level evidence. Indust. Corporate Change 20(6):1601–1636.Crossref, Google Scholar
- (2018) Automation, skills use, and training. OECD Social, Employment and Migration Working Papers No. 202, Organisation for Economic Co-Operation and Development, Paris.Google Scholar
- (2023) Artificial intelligence and machine learning for job automation: A review and integration. J. Database Management 34(1):1–12.Crossref, Google Scholar
- (1994) The Language Instinct: How the Mind Creates Language (HarperCollins, New York).Crossref, Google Scholar
- (2019) Primer on artificial intelligence and robotics. J. Organ. Design. 8(1):11.Crossref, Google Scholar
- (2014) The college degree has become the new high school degree. Washington Post (September 9), https://www.washingtonpost.com/opinions/catherine-rampell-the-college-degree-has-become-the-new-high-school-degree/2014/09/08/e935b68c-378a-11e4-8601-97ba88884ffd_story.html.Google Scholar
- (2013) Occupational employment projections to 2022. Mon. Labor Rev. 136:1–48.Google Scholar
- (2020) Artificial Intelligence: A Modern Approach, 4th ed. (Pearson, London).Google Scholar
- (2015) Stephen Hawking, Elon Musk, and Bill Gates Warn About artificial intelligence. Observer (August 19), https://observer.com/2015/08/stephen-hawking-elon-musk-and-bill-gates-warn-about-artificial-intelligence/.Google Scholar
- (1961) Investment in human capital. Amer. Econom. Rev. 51(1):1–17.Google Scholar
- (2017) Are colleges preparing students for the automated future of work? Washington Post (November 17), https://www.washingtonpost.com/news/grade-point/wp/2017/11/17/are-colleges-preparing-students-for-the-automated-future-of-work/.Google Scholar
- (2023) ChatGPT can give great answers. But only if you know how to ask the right question. Wall Street J. (April 12), https://www.wsj.com/articles/chatgpt-ask-the-right-question-12d0f035.Google Scholar
- (2016) Will your job disappear? USA Today (March 5), https://www.usatoday.com/story/money/business/2016/03/05/247-17-disappearing-middle-class-jobs/80517434/.Google Scholar
- (2021) Coordinating human and machine learning for effective organizational learning. MIS Quart. 45(3):1581–1602.Crossref, Google Scholar
- (2019) Your college degree isn’t enough for the workforce. Signal (October 8), https://georgiastatesignal.com/your-college-degree-isnt-enough-for-the-workforce/.Google Scholar
- (2023) Generative AI is already changing white-collar work as we know it. Wall Street J. (March 29), https://www.wsj.com/articles/generative-ai-is-already-changing-white-collar-work-as-we-know-it-58b53918.Google Scholar
- (2021) Failures of fairness in automation require a deeper understanding of human–Ml augmentation. MIS Quart. 45(3):1483–1499.Crossref, Google Scholar
- (1962) Production functions with constant elasticities of substitution. Rev. Econom. Stud. 29(4):291–299.Crossref, Google Scholar
- (1992) Microeconomic Analysis (W. W. Norton & Company, Inc., New York).Google Scholar
- (2020) The impact of artificial intelligence on the labor market. Working paper, Stanford University.Google Scholar
- (2015) Information technology substitution revisited. Inform. Systems Res. 26(3):480–495.Link, Google Scholar
- (2019) Labor-technology substitution: Implications for asset pricing. J. Finance 74(4):1793–1839.Crossref, Google Scholar

