According to ChainCatcher, Goldman Sachs CEO Solomon wrote an article in The New York Times stating that market concerns about a "mass unemployment wave" triggered by AI are exaggerated. The US economy will continue to create more new jobs through technological change, just as it has done during the Industrial Revolution and the internet age. Solomon stated that Goldman Sachs predicts AI may automate approximately 25% of existing work hours over the next 10 years, with white-collar jobs in sectors such as banking, accounting, and law being significantly impacted. Stanford research shows that entry-level hiring for highly automated roles such as software engineering and customer service has already declined by 16% compared to other automation sectors.
However, it points out that AI is also creating new job opportunities. For example, since 2022, the construction of data centers in the United States has created more than 200,000 construction jobs. Goldman Sachs itself may reduce some compliance and account opening positions, but will increase hiring for client-facing positions in banking, trading, and asset management. Solomon believes that AI is more likely to increase productivity than to directly eliminate 25% of jobs. He stated, "Technological progress and cultural change are not synchronized; being replaceable does not mean it will necessarily be replaced." He also called on governments and businesses to jointly promote large-scale vocational retraining to address the changes in the workforce structure brought about by AI.
