Artificial Intelligence Expected to Render 99% of Current Jobs Obsolete by the Year 2030, According to Computer Science Expert Roman Yampolskiy
In a recent episode of the "The Diary of a CEO" podcast, University of Louisville Computer Science Professor Roman Yampolskiy issued a stark warning about the potential impact of advanced AI on employment. Yampolskiy, who has published over 100 papers on AI's dangers and written multiple books on the subject, including his 2025 book "Considerations on the AI Endgame: Ethics, Risks and Computational Frameworks," predicts that AI will "very quickly" gain the capacity to take over other human occupations, including teachers, analysts, and accountants.
Yampolskiy isn't alone in his concerns. AI experts such as Geoffrey Hinton, known as the "Godfather of AI," and Dario Amodei, CEO of Anthropic, have also forecasted the significant impact of AI on employment. Hinton predicts that AI will replace everybody in white-collar jobs, while Amodei predicts that AI will eliminate half of all entry-level, white-collar jobs within the next one to five years.
Yampolskiy further predicts that artificial general intelligence systems (AGI) will be developed by 2027, leading to a labor market collapse three years later. He claims that any job on a computer is predicted to be automated once AGI arrives. This could result in 99% of all workers becoming unemployed by 2030, according to Yampolskiy.
However, Yampolskiy also points out that AI could provide "trillions of dollars" of "free labor," making it a more attractive option for employers. This could lead to a shift in the job market, with the remaining jobs being those that humans prefer another human to do for them.
Yampolskiy has coined the term "AI safety" in a 2011 article, and he has been a vocal advocate for the need to address the potential risks associated with the development and deployment of advanced AI. He claims that humanoid robots are predicted to take over physical labor jobs within the next five years, and he worries about the potential for AI to outpace our ability to manage its development and impact.
It's important to note that Yampolskiy was previously employed as a renowned AI researcher, although the specific company or institution is not explicitly mentioned in the given search results.
The development of advanced AI is a complex and rapidly evolving field, and its impact on employment is still uncertain. However, Yampolskiy's warnings serve as a reminder of the need to consider the potential risks and consequences of AI development and deployment, and to take steps to mitigate them.
Retraining is impossible in the new reality of AI automation, as stated by Yampolskiy. As such, it's essential for policymakers, employers, and individuals to start thinking about strategies for adapting to a future where AI plays a significant role in the job market. This could include investing in education and training programs, fostering a culture of lifelong learning, and supporting policies that promote job creation and economic security for all.
