Will AI boost productivity? Companies sure hope so.
Scepticism of AI’s potential for major change is based largely on the fact that many of its applications mimic things software can already do: There are clear improvements, but not necessarily game-changing ones
Published: 06:04 PM,Apr 05,2024 | EDITED : 10:04 PM,Apr 05,2024
Economists doubt that artificial intelligence is already visible in productivity data. Big companies, however, talk often about adopting it to improve efficiency
By Jordyn Holman and Jeanna Smialek
Wendy’s menu boards. Ben & Jerry’s grocery store freezers. Abercrombie & Fitch’s marketing. Many mainstays of the American customer experience are increasingly powered by artificial intelligence. The question is whether the technology will actually make companies more efficient.
Rapid productivity improvement is the dream for both companies and economic policymakers. If output per hour holds steady, firms must either sacrifice profits or raise prices to pay for wage increases or investment projects. But when firms figure out how to produce more per working hour, it means that they can maintain or expand profits even as they pay or invest more. Economies experiencing productivity booms can experience rapid wage gains and quick growth without as much risk of rapid inflation.
But many economists and officials seem dubious that AI — especially generative AI, which is still in its infancy — has spread enough to show up in productivity data already.
Jerome Powell, the Federal Reserve chair, recently suggested that AI “may” have the potential to increase productivity growth, “but probably not in the short run.” John Williams, president of the New York Fed, has made similar remarks, specifically citing the work of Northwestern University economist Robert Gordon.
Gordon has argued that new technologies in recent years, while important, have probably not been transformative enough to give a lasting lift to productivity growth.
“The enthusiasm about large language models and ChatGPT has gone a bit overboard,” he said in an interview.
The last time productivity really picked up, in the 1990s, computer manufacturing was getting a lot more efficient at the same time that computers themselves were making everything else more efficient — allowing for a sector-spanning productivity increase. Today’s gains may be less broad, he thinks.
Other economists are more optimistic. Erik Brynjolfsson at Stanford University has bet Gordon $400 that productivity will take off this decade. His optimism is based partly on AI. He ran an experiment with it at a large call centre, where it especially helped less-experienced workers, and has co-founded a company meant to teach firms how to leverage the technology.
Here are a few areas where companies say that the latest AI technology is being used in ways that could influence productivity, pulled from interviews, earnings calls and financial filings. Got an annoying task? There’s an AI for that. Employees spend a lot of time trying to figure out human resources-related questions. Companies have been investing in generative AI to help answer those queries more quickly.
At Walmart, the largest retailer in the United States, with 1.6 million workers, the company’s employee app has a section called “My Assistant,” which is backed by generative AI. The feature uses the technology to quickly answer questions such as “Do I have dental coverage?”; summarise meeting notes; and help write job descriptions.
Walmart rolled out the technology to its US corporate workforce last year. The retailer has been clear that the tool is meant to boost productivity. In an interview last year, Donna Morris, Walmart’s chief people officer, said one of the goals was to eliminate some mundane work so employees could focus on tasks that have more impact. It’s expected to be a “huge productivity lift” for the company, she said.
The algorithms want to sell you things. Tony Spring, CEO of Macy’s, said the department-store chain is experimenting with AI to tailor its marketing. The company is using generative AI to write elements of emails, and is exploring ways to use the technology to add product descriptions online and to replicate images of outfits or other products for sale over new backgrounds. “It’s certainly showing up as a tool for some colleagues to reduce workload,” Spring said in an interview.
Abercrombie & Fitch is using generative AI to help design clothes and write descriptions for its website and app. Designers use Midjourney, an AI graphics program, to help them generate images as they brainstorm clothing ideas. Workers in Abercrombie’s marketing department also use generative AI to help write the blurbs for products’ descriptions. (Employees later edit the copy.) AI pairs well with burgers and ice cream.
Some companies are hoping to use the latest AI technology to help match prices to demand, somewhat like the way that Uber sets prices for cars based on how many people want to ride. Wendy’s, for instance, has floated the idea of using AI to identify slower times of the day and discount the prices of menu items on their digital boards.
The technology could also help with inventory management. Ben & Jerry’s put cameras that use AI into the freezers at grocery stores to help alert the company when a location was running low on pints of Cherry Garcia or Chunky Monkey. The camera sporadically captures an image of the freezer shelves and the technology assesses the quantity that’s left, sending alerts to Ben & Jerry’s parent company and its distributors.
Are these game-changing improvements? Scepticism of AI’s potential for major change is based largely on the fact that many of its applications mimic things software can already do: There are clear improvements, but not necessarily game-changing ones.
But although it could take time for companies to fully harness AI tools, the fact that the applications are potentially so broad has made some economists optimistic about what the new technologies could mean for productivity growth.
Analysts at Vanguard think that AI could be “transformative” to the US economy in the second half of the 2020s, said Joseph Davis, the financial firm’s global chief economist. He said the technology could save workers meaningful time — perhaps 20 per cent — in about 80 per cent of occupations.
“We’re not seeing it in the data yet,” he said, explaining that he thinks that a recent pickup in productivity has been more of a snapback from a steep drop-off during the pandemic. “The good news is that there’s another wave coming.” — The New York Times.
Wendy’s menu boards. Ben & Jerry’s grocery store freezers. Abercrombie & Fitch’s marketing. Many mainstays of the American customer experience are increasingly powered by artificial intelligence. The question is whether the technology will actually make companies more efficient.
Rapid productivity improvement is the dream for both companies and economic policymakers. If output per hour holds steady, firms must either sacrifice profits or raise prices to pay for wage increases or investment projects. But when firms figure out how to produce more per working hour, it means that they can maintain or expand profits even as they pay or invest more. Economies experiencing productivity booms can experience rapid wage gains and quick growth without as much risk of rapid inflation.
But many economists and officials seem dubious that AI — especially generative AI, which is still in its infancy — has spread enough to show up in productivity data already.
Jerome Powell, the Federal Reserve chair, recently suggested that AI “may” have the potential to increase productivity growth, “but probably not in the short run.” John Williams, president of the New York Fed, has made similar remarks, specifically citing the work of Northwestern University economist Robert Gordon.
Gordon has argued that new technologies in recent years, while important, have probably not been transformative enough to give a lasting lift to productivity growth.
“The enthusiasm about large language models and ChatGPT has gone a bit overboard,” he said in an interview.
The last time productivity really picked up, in the 1990s, computer manufacturing was getting a lot more efficient at the same time that computers themselves were making everything else more efficient — allowing for a sector-spanning productivity increase. Today’s gains may be less broad, he thinks.
Other economists are more optimistic. Erik Brynjolfsson at Stanford University has bet Gordon $400 that productivity will take off this decade. His optimism is based partly on AI. He ran an experiment with it at a large call centre, where it especially helped less-experienced workers, and has co-founded a company meant to teach firms how to leverage the technology.
Here are a few areas where companies say that the latest AI technology is being used in ways that could influence productivity, pulled from interviews, earnings calls and financial filings. Got an annoying task? There’s an AI for that. Employees spend a lot of time trying to figure out human resources-related questions. Companies have been investing in generative AI to help answer those queries more quickly.
At Walmart, the largest retailer in the United States, with 1.6 million workers, the company’s employee app has a section called “My Assistant,” which is backed by generative AI. The feature uses the technology to quickly answer questions such as “Do I have dental coverage?”; summarise meeting notes; and help write job descriptions.
Walmart rolled out the technology to its US corporate workforce last year. The retailer has been clear that the tool is meant to boost productivity. In an interview last year, Donna Morris, Walmart’s chief people officer, said one of the goals was to eliminate some mundane work so employees could focus on tasks that have more impact. It’s expected to be a “huge productivity lift” for the company, she said.
The algorithms want to sell you things. Tony Spring, CEO of Macy’s, said the department-store chain is experimenting with AI to tailor its marketing. The company is using generative AI to write elements of emails, and is exploring ways to use the technology to add product descriptions online and to replicate images of outfits or other products for sale over new backgrounds. “It’s certainly showing up as a tool for some colleagues to reduce workload,” Spring said in an interview.
Abercrombie & Fitch is using generative AI to help design clothes and write descriptions for its website and app. Designers use Midjourney, an AI graphics program, to help them generate images as they brainstorm clothing ideas. Workers in Abercrombie’s marketing department also use generative AI to help write the blurbs for products’ descriptions. (Employees later edit the copy.) AI pairs well with burgers and ice cream.
Some companies are hoping to use the latest AI technology to help match prices to demand, somewhat like the way that Uber sets prices for cars based on how many people want to ride. Wendy’s, for instance, has floated the idea of using AI to identify slower times of the day and discount the prices of menu items on their digital boards.
The technology could also help with inventory management. Ben & Jerry’s put cameras that use AI into the freezers at grocery stores to help alert the company when a location was running low on pints of Cherry Garcia or Chunky Monkey. The camera sporadically captures an image of the freezer shelves and the technology assesses the quantity that’s left, sending alerts to Ben & Jerry’s parent company and its distributors.
Are these game-changing improvements? Scepticism of AI’s potential for major change is based largely on the fact that many of its applications mimic things software can already do: There are clear improvements, but not necessarily game-changing ones.
But although it could take time for companies to fully harness AI tools, the fact that the applications are potentially so broad has made some economists optimistic about what the new technologies could mean for productivity growth.
Analysts at Vanguard think that AI could be “transformative” to the US economy in the second half of the 2020s, said Joseph Davis, the financial firm’s global chief economist. He said the technology could save workers meaningful time — perhaps 20 per cent — in about 80 per cent of occupations.
“We’re not seeing it in the data yet,” he said, explaining that he thinks that a recent pickup in productivity has been more of a snapback from a steep drop-off during the pandemic. “The good news is that there’s another wave coming.” — The New York Times.