Simon Johnson, a professor of entrepreneurship at the Massachusetts Institute of Technology and a 2024 Nobel laureate in economics, recently shared his insights on the impact of artificial intelligence (AI) and the strategic competition between the United States and China. The discussion, conducted during the UBS Asian Investment Conference in Hong Kong, covered how AI could reshape the global job market, the relative positioning of the US and China in technological competition, and the broader economic implications of emerging disruptive technologies.
Johnson highlighted that AI is likely to displace many workers engaged in routine tasks across various industries, particularly affecting mid-level white-collar roles such as compliance, data processing, and customer service. While AI can automate numerous functions, certain roles—especially those involving client relationship management or high-level decision making—will remain necessary. He emphasized that AI harbors a dual impact: it automates existing jobs while also generating new types of work. However, preliminary evidence suggests that job automation currently outpaces the creation of new roles.
Regarding the rivalry between the US and China in advanced technology sectors, Johnson pointed to a concerning decline in US investment in science and graduate education during the second administration of President Donald Trump. He noted a 10 to 20 percent decrease in scientific output, cautioning that reduced investment undermines the US’s competitiveness. Conversely, China continues to advance in these fields but may face challenges in balancing automation with employment needs given its diverse wage levels and large labor force. Johnson suggested that China’s focus on automation might be excessive, especially in less affluent regions, contrasting it with Hong Kong’s more service-oriented economy.
Johnson also discussed US immigration policy as a critical factor in maintaining technological leadership, praising the country’s ability to attract and integrate skilled foreign workers into research institutions. He described this influx as complementary to domestic labor and essential for continued innovation at places like MIT.
On the subject of export controls designed to limit China's access to US technology, Johnson expressed skepticism about their long-term effectiveness. He argued that such measures tend to encourage China to develop alternative technologies and build its own chip industry, thus having limited impact on slowing China's progress. Instead, Johnson advocated for increased US investment in domestic science and technology as the most effective competitive strategy, warning that political decisions to cut funding represent missed opportunities.
Looking ahead, Johnson expressed caution about the rapid development of AI and its potential risks, such as cybersecurity threats that could arise if AI tools fall into malicious hands. He acknowledged the difficulty in predicting the long-term societal and economic effects of AI but stressed the importance of adapting to a future in which humans and machines work in closer partnership.
On the broader economic outlook, Johnson touched on debates about China’s potential to surpass the US as the world’s largest economy. He framed the discussion in terms of gross domestic product measured by market exchange rates and acknowledged China’s significant current size. However, the interview concluded before a definitive prediction about the timeline for this transition was provided.
Overall, Johnson’s comments underscored the complex dynamics shaping technological innovation, labor markets, and global economic competition amid the rapid rise of AI and automation.