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1

After forcing workers back to the office, Goldman Sachs and JPMorgan Chase are now letting their staff work remotely—but only for the World Cup

2

The Pentagon said Iran War costs $29 billion, but the real cost is closer to $200 billion—and counting

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Current price of oil as of June 23, 2026
TechLarry Fink

The Wall Street exec who manages $9 trillion is worried about the productivity crisis and believes A.I. could be the silver bullet

Nicholas Gordon
By
Nicholas Gordon
Nicholas Gordon
Asia Editor
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Nicholas Gordon
By
Nicholas Gordon
Nicholas Gordon
Asia Editor
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June 15, 2023, 6:08 AM ET
BlackRock CEO Larry Fink has previously warned that inflation was still “too sticky,” and predicted further interest rate hikes from the U.S. Federal Reserve.
BlackRock CEO Larry Fink has previously warned that inflation was still “too sticky,” and predicted further interest rate hikes from the U.S. Federal Reserve. Stefan Wermuth—Bloomberg/Getty Images
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New artificial intelligence technologies can help end our period of record inflation, the head of the world’s largest asset manager argued on Wednesday.

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A global slowdown in productivity is a “reason why we have such sticky inflation,” BlackRock CEO Larry Fink, who oversees $9 trillion in assets, said during the company’s investor day event, according to Bloomberg.

“A.I. has the huge potential to increase productivity, and transform margins across sectors,” he predicted, which would “bring down the inflation,” reports the Financial Times.

U.S. prices rose 4% year on year in May, which is the lowest rate of inflation reported in over two years. Yet core inflation—which excludes more volatile energy and food prices—came in at 5.3%, staying above 5% for the 18th consecutive month.

Fink warned a few weeks ago that inflation was “still too strong, too sticky,” and so would lead to two to four more interest rate hikes from the U.S. Federal Reserve. (The Fed on Wednesday held off on raising rates again, but forecast two more increases before the end of the year.)

A.I. and productivity

Companies hope that generative A.I.—a category of tools that include OpenAI’s viral chatbot ChatGPT—could automate a large swath of knowledge work. 

The new technology could add anywhere between $2.6 trillion to $4.2 trillion to the global economy, estimates McKinsey Global Institute in a report released Wednesday. Critically, the firm estimates that A.I. could “automate work activities that absorb 60% to 70% of employees’ time today,” and in turn grow labor productivity by between 0.2% and 3.3% each year. 

Yet this improvement could come at the expense of higher-wage knowledge workers “previously considered to be relatively immune to automation,” the consulting firm warns. 

Remote work

Fink might see A.I. as a way to reverse a fall in productivity caused by a very different phenomenon: the rise of remote work. 

Last September, BlackRock’s CEO blamed the rising trend of working from home for sticky inflation. “We have to get our employees back in the office,” he said in a Fox Business interview. 

At the time, the asset manager was pushing its employees to follow its mandate to come into the office three days a week. Fink said the request was “a key element in bringing down inflation: rising productivity.” 

Labor productivity has continued to decline since then, dropping by 2.1% in the first quarter of the year, according to the Bureau of Labor Statistics.

Surveys find that managers often report lower or unchanged productivity from remote workers, and CEOs like Meta’s Mark Zuckerberg and Salesforce’s Marc Benioff argue that working from home is particularly harmful to new hires. 

However, economists warn against tightly connecting declines in labor productivity to remote work. One reason for a fall in productivity could be imperfect hybrid work arrangements, such as when companies ask people to come in for a few days a week without determining how such a system would work in practice. 

But increased labor churn from job-hopping individuals during the Great Resignation could also lead to reduced productivity, EY-Parthenon chief economist Gregory Daco previously suggested to Fortune.

“Because people were job-hopping so regularly, there wasn’t really a chance to bring them up to the speed, or productivity, that a former worker would’ve had,” he said. 

About the Author
Nicholas Gordon
By Nicholas GordonAsia Editor
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Nicholas Gordon is an Asia editor based in Hong Kong, where he helps to drive Fortune’s coverage of Asian business and economics news.

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