AI Threatens White-Collar Jobs, Says Rosenberg
The rise of generative artificial intelligence (AI) and its potential economic impacts have been a subject of intense discussion since the release of OpenAI LLC’s ChatGPT software in November 2022. This article delves into the transformative effects of this new wave of generative AI on the economy and identifies the industries most likely to be affected. While the technology is still evolving, early signals suggest a significant shift in the labor market and a potential boost in productivity.
The Impact of Generative AI
The core of the transformation lies in the ability of generative AI to create content and perform tasks with remarkable speed and accuracy – often exceeding human capabilities. This capability is driving a shift towards increased automation across various sectors. The ability of AI to handle repetitive and time-consuming tasks is already providing a significant boost to productivity, and this trend is expected to accelerate. However, this increased efficiency also presents a significant challenge: the potential displacement of white-collar jobs. The most dramatic labor market shifts are occurring in sectors relying on data analysis and repetitive tasks, creating considerable uncertainty.
Productivity Gains and Economic Estimates
Several organizations have attempted to quantify the potential economic benefits of generative AI. Goldman Sachs Group Inc. estimates a global gross domestic product increase of seven percent over a 10-year period, while the World Economic Forum forecasts a 26 percent boost to global economic output by 2030 – a staggering $15.7 trillion when converted to U.S. dollars. These projections—though varying—generally point to a substantial positive impact on the global economy. The shared sentiment amongst many economists is that generative AI will be a key driver of economic growth, analogous to the transformative effect of the internet at the end of the 20th century. Notably, 63 percent of those polled in PricewaterhouseCoopers LLP’s annual Global CEO Survey believe that AI will have a greater economic impact than the internet, suggesting a truly seismic shift in the trajectory of global economic growth.
Labor Market Disruption and White-Collar Jobs
The most contentious aspect of generative AI’s rise is its potential impact on the labor market. There is no denying the likelihood of labor market displacement, particularly among white-collar workers who perform tasks readily automated by AI. The concern isn’t simply about automation; it’s about the scale and speed of this displacement. The internet created millions of jobs, but the extent to which generative AI will also generate new opportunities—and whether these opportunities will be sufficient to offset the losses—remains uncertain. The technology we are discussing is fundamentally more disruptive than previous technological revolutions, with much more acute labor displacement characteristics. The cost savings generated by AI are likely to be significant, adding further pressure to already tight labor markets. Given this dynamic, discussions about a universal basic income system are likely to intensify, as policymakers grapple with the potential for widespread unemployment and the widening of income inequality. The question of whether the U.S. Federal Reserve chair Jay Powell is considering these effects, rather than solely focusing on inflation, is a key point of concern.
Industry-Specific Impacts
Generative AI’s impact will not be uniform across all industries; rather, certain sectors are more vulnerable to disruption. Data entry, administrative support, accounting, mathematicians, and financial services – roles typically involving the processing and analysis of large datasets – top the list of professions most at risk of automation. While blue-collar workers endured the brunt of job losses during previous technological shifts, generative AI’s impact is poised to be far broader, disproportionately affecting white-collar jobs. Goldman Sachs has estimated that one-quarter of all tasks are exposed to AI takeover, putting 300 million full-time positions globally at risk of automation. Specifically, 63 percent of the corporate sector in the U.S. will see almost half its workload affected by AI. Only 30 percent will emerge unscathed (primarily jobs involving physical labor and human touch elements), while seven percent will undergo complete replacement. That represents a significant portion of the U.S. workforce – approximately 160 million people.
The Future Outlook
Ultimately, the net effect of generative AI on the global economy remains to be seen. However, the combination of productivity gains and labor market disruption creates a complex and potentially destabilizing dynamic. The key question is whether the economic benefits derived from increased automation will be sufficient to offset the job losses, and whether this will lead to a deflationary event – as some economists believe – or whether it will generate enough demand to create high-skill, high-paying jobs. The shared sentiment amongst many economists is that this technology will be a key driver of economic growth. The transformative effects of generative AI could be akin to the internet. The technological advancement also presents the potential for wealth inequality to increase and would accelerate the discussion – and perhaps implementation – of a universal basic income system. The potential for a more Canadian-style approach – fueled by robust government investment – could also shape the future of the U.S. economy.
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