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productivity

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Article
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Monetary Authority of Singapore Chief Economist: After the increase in AI productivity, there may be room for easing

According to the Straits Times, Edward Robinson, Chief Economist of the Monetary Authority of Singapore, stated at the Beijing Financial Street Forum on October 20 that once artificial intelligence leads to widespread productivity improvements, central banks may relax monetary policy. However, currently, the AI investment boom is driving demand, and policies should maintain appropriate restrictions. He pointed out that AI-related investments are driving economic growth, but the technology has not yet brought significant productivity improvements to the broader economy, and he called for a gradual, data-driven approach.The Monetary Authority tightened monetary policy in April and July 2026 due to rising inflation risks, and maintained the policy unchanged in October. An October 14 statement warned that if the AI boom generates broader economic spillovers and raises unit labor costs, domestic inflation may remain high. Robinson noted that AI-driven electronic products accounted for over 70% of this year's export growth in Asia, but the growth of industries producing AI-related technologies mainly stems from increased investment and more intensive use of existing resources, rather than efficiency improvements. He cited OECD estimates stating that if sufficiently widespread and appropriately invested, AI could increase total factor productivity growth by up to 0.6 percentage points annually.

Goldman Sachs CEO discusses the impact of AI: AI is more inclined to enhance productivity rather than directly eliminate jobs

Goldman Sachs CEO Solomon wrote in The New York Times that the market's concerns about AI triggering a "massive wave of unemployment" are exaggerated. The U.S. economy will continue to create more new jobs through technological transformation, just as it did during the past industrial revolution and the internet era. Solomon stated that Goldman Sachs expects AI or automation to affect about 25% of existing work hours over the next decade, with significant impacts on white-collar sectors such as banking, accounting, and law. Research from Stanford shows that entry-level positions in highly automated roles like software engineering and customer service have declined by 16% compared to less automated industries.However, he pointed out that AI is also creating new job demands. For example, since 2022, the construction of data centers in the U.S. has generated over 200,000 construction jobs. Goldman Sachs itself may reduce some compliance and account opening positions but will increase hiring for client-facing roles in banking, trading, and asset management. Solomon believes that AI is more likely to enhance productivity rather than directly eliminate 25% of jobs. He stated, "Technological advancement and cultural change do not occur simultaneously; being replaceable does not mean one will necessarily be replaced." He also called for the government and businesses to jointly promote large-scale job retraining to address the structural changes in the workforce brought about by AI.
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