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Fed's Barr Says AI Will Transform Economies Though Outcomes Vary
Federal Reserve Governor Michael Barr said although artificial intelligence will transform economies, there are a range of outcomes as to how that will play out. Barr, in remarks prepared for a speech Wednesday at the Singapore FinTech Festival, outlined two basic scenarios. In the first, adoption of generative AI could augment existing tasks and roles. In the second, it could lead to a transformative impact, where work and leisure undergo radical change that boosts efficiency and remakes firms with new business models.
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Fed Governor Michael Barr Says 'AI Is A Big Deal' That Could 'Transform Economies' And Affect Monetary Policy - iShares Future AI & Tech ETF (ARCA:ARTY), Global X Artificial Intelligence & Technology ETF (NASDAQ:AIQ)
Federal Reserve Governor Michael Barr discussed two potential scenarios of the AI revolution and its impact on the economy. Barr Outlines AI's Potential Economic Impact In Tuesday's speech at the Singapore Fintech Festival on Tuesday, Barr said, "AI is a big deal that will transform economies." He described two "possible scenarios" for the AI revolution. In the first, AI would gradually enhance existing tasks and jobs. In the second, it would trigger a profound transformation, redefining work and leisure, increasing research and development efficiency, reshaping industries, and giving rise to companies with entirely new business models, as per the Fed Governor. "Right now, it is difficult to predict which scenario (or perhaps one or more intermediate scenarios) will come to pass," Barr said. He also highlighted a notable rise in data center investments, reflecting leading AI companies' confidence that AI adoption across the economy is approaching. This could drive "significant changes" in the economy, boosting labor productivity and enabling higher output growth without triggering inflation. "If these changes are significant, they can also affect the conduct of monetary policy," said Barr. Challenges Of AI Adoption Barr also highlighted that financial services firms face significant hurdles in adopting GenAI. Organizational changes needed may be extensive, and history shows AI adoption -- like earlier machine learning -- has been slow, even in highly digitized firms. Fintech startups designed around AI can help drive efficiency, but short-term productivity may decline due to heavy investments in process improvements, said Barr. Additionally, using AI for core financial activities is constrained by legal and risk-management requirements, meaning innovation must carefully balance efficiency gains with regulatory compliance. See Also: Bitcoin User Accidentally Pays Over $105K To Send Just $10 Experts Debate AI Boom Risks and Rewards The AI revolution has been a topic of concern and interest for many. Billionaire investor Barry Sternlicht recently expressed his concerns about the rapid expansion of data centers and AI, warning of unsettling economic and social costs. However, he also revealed that his firm has $20 billion dedicated to the data center space. Economist Justin Wolfers warned of a potential "non-AI recession" in the U.S., stating that the country is effectively operating as "two economies," with a massive AI boom concealing significant weaknesses in other sectors. On the other hand, veteran economist Ed Yardeni advised investors to view the recent pullback in AI stocks as a buying opportunity, arguing that widespread market nervousness is a healthy sign that differentiates this boom from the dot-com bubble. Price Action: On a year-to-date basis, the Global X Artificial Intelligence & Technology ETF (NASDAQ:AIQ) and iShares Future AI & Tech ETF (NYSE:ARTY) climbed 34.27% and 30.17%, respectively, as per data from Benzinga Pro. READ NEXT: Bernie Sanders, Left Senators Slam Trump For AI-Driven Power Price Surge, Forcing Americans Into 'Bidding Wars' With Big Tech: Report Image via Shutterstock Disclaimer: This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors. AIQGlobal X Artificial Intelligence & Technology ETF$52.050.79%OverviewARTYiShares Future AI & Tech ETF$49.381.92%Market News and Data brought to you by Benzinga APIs
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Federal Reserve Governor Michael Barr discusses how AI could transform economies through either gradual task augmentation or radical transformation of work and business models, while highlighting challenges in financial services adoption.
Federal Reserve Governor Michael Barr delivered a comprehensive analysis of artificial intelligence's potential economic impact during his speech at the Singapore FinTech Festival, outlining two distinct scenarios for how AI could reshape global economies
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Source: Bloomberg
Barr emphasized that "AI is a big deal that will transform economies," but acknowledged the uncertainty surrounding which transformation path will emerge
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. The first scenario envisions AI gradually augmenting existing tasks and roles, allowing for incremental improvements in productivity and efficiency across various sectors1
.The second, more transformative scenario could trigger profound changes that redefine work and leisure patterns, increase research and development efficiency, reshape entire industries, and give rise to companies with completely new business models
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. Barr noted that "right now, it is difficult to predict which scenario (or perhaps one or more intermediate scenarios) will come to pass"2
.The Fed Governor highlighted a notable increase in data center investments as evidence of leading AI companies' confidence in approaching widespread AI adoption across the economy
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. This investment trend could drive significant economic changes by boosting labor productivity and enabling higher output growth without triggering inflation.
Source: Benzinga
Barr indicated that if these changes prove substantial, they could fundamentally affect how monetary policy is conducted, suggesting the Federal Reserve may need to adapt its approaches to account for AI-driven economic transformations
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Despite AI's potential benefits, Barr acknowledged significant hurdles facing financial services firms in adopting generative AI technologies. The organizational changes required may be extensive, and historical precedent shows that AI adoption, similar to earlier machine learning implementations, has been slow even among highly digitized firms
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.While fintech startups designed around AI capabilities can help drive efficiency improvements, Barr warned that short-term productivity may actually decline due to heavy investments required for process improvements
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. Additionally, using AI for core financial activities faces constraints from legal and risk-management requirements, meaning innovation must carefully balance efficiency gains with regulatory compliance.Summarized by
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