AI and the Threat to Office Jobs: An Imminent Chaos

The Impact of AI on the Labor Market

Labor economist Kathryn Anne Edwards has recently highlighted the vulnerabilities of the United States' social safety net in the face of potential upheavals caused by AI in the labor market. She emphasized that while AI is not expected to create a new class of permanent unemployed, the balance between jobs destroyed and those created remains deeply uncertain. This uncertainty is particularly concerning in a context where the social safety net is weak.

Molly Kinder's Perspective

Molly Kinder, after spending three years at the Brookings Institution, led a project on how generative AI is transforming work. In a recently discussed essay, she predicted the emergence of what she calls the "chaotic middle." This term describes a long and difficult period between the relatively intact labor market we know today, which she refers to as "reality 1," and the abundance promised by Silicon Valley after AGI, which she names "reality 3." In this "chaotic middle," or "reality 2," most jobs will survive, but losses will be concentrated in some of the highest-paying and most coveted jobs in the economy. Kinder warns that these concentrated losses will be "politically explosive."

At-Risk Workers

Kinder points out that the workers most at risk in the near future are those who have fared best during previous waves of automation, the "laptop class." She explains that if you can do your job locked in a closet with a computer, you are likely to be in trouble. This reversal of the situation is also why Kinder, like Edwards, rejects the standard San Francisco response to job loss due to AI, which is to jump straight to universal basic income. She questions: if everyone receives a check large enough to replace the salary of a displaced software engineer, why would anyone continue to work in essential fields like policing, construction, or healthcare?

Targeted Interventions

Instead, Kinder focuses on more targeted interventions. She proposes policies that slow down and manage the pace of displacement, including a workforce reinvestment fund. This fund would require companies to finance apprenticeships for young workers. She also suggests wage insurance for older workers and, if good jobs truly become scarce, a public effort to create them—a new industrial policy for knowledge workers.

A New Organization

After three years at Brookings, Kinder announced that she is leaving to found a new organization dedicated to addressing the challenges posed by the transition of AI. This initiative aims to tackle the specific challenges presented by the rapid evolution of AI in the workplace.

The "Chaotic Middle" of the AI Transition

Molly Kinder explains that the "chaotic middle" is a period where AI becomes more capable and able to take on more tasks, but where we do not immediately see an apocalypse of jobs. Instead, we face partial automation, where AI begins to be sufficiently capable of performing certain types of work, which remains painful. A situation where most jobs are intact but where there is concentrated loss is still politically, socially, and economically explosive.

Office Workers on the Front Lines

Kinder argues that this period of AI disruption will hit office workers much harder than manual laborers. Data shows that the sectors most exposed to automation are largely knowledge-based. She explains that if you can do your job locked in a closet with a computer, you are likely to be in trouble. Jobs that require physical presence, such as those in restaurants or hair salons, will not be as affected by AI.

Implications of Automating Office Jobs

Kinder emphasizes that it is crucial to understand why this transition, if it occurs, represents a significant change. She raises the idea of commoditization of cognition, where technologies like language models could potentially replace certain specialized cognitive functions. This could disrupt the American dream and the notion of meritocracy, as knowledge jobs, which have thrived due to computing, could be threatened by increased automation.

Conclusion

The conversation about the impact of AI on the labor market is complex and constantly evolving. The implications of these changes require particular attention to ensure that knowledge workers are not left behind in this technological transition.