Generative AI: Job Automation Impact Sparks Fears as UN Study Warns of Potential Job Loss
A recent UN study has shed light on the impact of generative artificial intelligence (AI) on jobs, sparking concerns about potential job losses. However, the study also emphasizes that most jobs and industries are only partially exposed to automation, meaning that rather than being substituted, they are more likely to be complemented by AI.
According to the study conducted by the International Labour Organization, generative AI, which has gained significant interest due to its chatbot applications, is unlikely to completely take over people’s jobs. Instead, it is expected to automate certain tasks, thereby freeing up workers to focus on other responsibilities.
While generative AI is projected to affect various occupations, clerical work is likely to be the hardest hit. Approximately a quarter of clerical tasks are highly exposed to potential automation, posing a potential impact on employment in this sector. The study highlights that this effect could disproportionately affect female workers, given their over-representation in clerical roles, particularly in wealthier countries.
However, the overall consensus is that the introduction of generative AI will result in the augmentation of work rather than a complete displacement of human labor. Professions such as managers and sales workers are expected to have only marginal exposure to automation.
The study acknowledges that despite the anticipated partial automation, the impact on affected workers could still be significant. It urges policymakers to recognize the need for effective policy measures to address the technological changes brought about by generative AI.
While concerns about job destruction have arisen with the advent of generative AI, history has shown similar worries when new technologies such as the moving assembly line and mainframe computers were introduced in the past. The UN study seeks to strike a balance, cautioning policymakers not to dismiss the potential impact of generative AI but instead consider harnessing policy interventions to navigate the evolving landscape.
In conclusion, generative AI is likely to automate certain aspects of jobs, particularly in clerical work. However, the study emphasizes that the overarching impact will be the augmentation of work rather than the complete substitution of human labor. It highlights the importance of proactive policymaking to adapt to these technological changes and mitigate any negative consequences experienced by affected workers. So, while fears may exist, the future of work in the age of generative AI is expected to be a blend of human capabilities and technological advancements.
