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Finally, hard data on a real-world AI business use case: It’s huge for customer service

Researchers measured gains and trade-offs from human customer service reps using an AI assistant. One big win? Fewer angry customers.

Jon Keegan
2/13/25 11:52AM

The tech giants are spending hundreds of billions to build out massive infrastructure needed for an imminent economy where AI supercharges productivity and boosts economic growth. Thats the theory, anyway. But how much will AI actually boost productivity in business? Its very much an open question, with a paucity of data available. 

But in the current issue of the Quarterly Journal of Economics, a research paper presents some hard data on the topic. Titled Generative AI at Work,” the paper shares research by Erik Brynjolfsson, Danielle Li, and Lindsey Raymond, which measured productivity of real workers in an industry prime for AI-powered improvements: customer service. Their findings offer an important, early look at the value of incorporating AI in business. 

The researchers found that when human customer service agents used an AI assistant, the company saw a 15% boost in productivity on average. But the gains were not evenly distributed. Less experienced agents saw the biggest boosts in productivity and speed, while more experienced agents saw smaller gains in speed and a slight decrease in quality. AI really helped when handling moderately rare problems,” where the human agent might lack the knowledge to resolve the issue.

One of the other benefits of the use of AI assistants was that it helped international workers improve their fluency in English. After AI was introduced, the data showed big jumps in scores for comprehensibility” and native fluency” (i.e. the person seemed like a native American English speaker).

Most of us have had a frustrating customer service experience and the accompanying rage that it may induce. The study notes, We see regular instances of swearing, verbal abuse, and ‘yelling’ (typing in all caps).” This can lead to attrition among customer service workers, which adds to costs. 

“AI assistance significantly improves how customers treat agents”

In what might be the most promising (and surprising) finding in the study, the authors found that AI-assisted customer service resulted in customers being more polite and less likely to ask to speak to a manager.

We find access to AI assistance significantly improves how customers treat agents of all skill and experience levels, with the largest effects for agents in the lower to lower-middle range of both the skill and tenure distributions,” the authors wrote. 

The study followed 5,172 customer support agents at a Fortune 500 firm that sells business software. They staggered the introduction of an AI chatbot assistant that suggests responses to customer queries over eight months starting in late 2020 through 2021. 

Its important to note that in the fast-moving world of AI, this experiment took place a relatively long time ago. The chatbot used in this study was built using GPT-3, the model that preceded ChatGPTs launch in November 2022. It was trained using successful customer service calls from top-performing agents. 

As tech giants like Microsoft, Google, and Salesforce race to squeeze AI into the software we use, perhaps the greatest benefit will be that it not only helps us solve our problems faster, but it makes humans treat each other better.

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OpenAI and Microsoft reach agreement that moves OpenAI closer to for-profit status

In a joint statement, OpenAI and Microsoft announced a “non-binding memorandum of understanding” for their renegotiated $13 billion partnership, which was a source of recent tension between the two companies.

Settling the agreement is a requirement to clear the way for OpenAI to convert to a for-profit public benefit corporation, which it must do before a year-end deadline to secure a $20 billion investment from SoftBank.

OpenAI also announced that the controlling non-profit arm would hold an equity stake in the PBC valued at $100 billion, which would “making it one of the most well-resourced philanthropic organizations in the world.”

The statement read:

“This recapitalization would also enable us to raise the capital required to accomplish our mission—and ensure that as OpenAI’s PBC grows, so will the nonprofit’s resources, allowing us to bring it to historic levels of community impact.”

Settling the agreement is a requirement to clear the way for OpenAI to convert to a for-profit public benefit corporation, which it must do before a year-end deadline to secure a $20 billion investment from SoftBank.

OpenAI also announced that the controlling non-profit arm would hold an equity stake in the PBC valued at $100 billion, which would “making it one of the most well-resourced philanthropic organizations in the world.”

The statement read:

“This recapitalization would also enable us to raise the capital required to accomplish our mission—and ensure that as OpenAI’s PBC grows, so will the nonprofit’s resources, allowing us to bring it to historic levels of community impact.”

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BofA doesn’t expect Tesla’s ride-share service to have an impact on Uber or Lyft this year

Analysts at Bank of America Global Research compared Tesla’s new Bay Area ride-sharing service with its rivals and found that, for now, its not much competition for Uber and Lyft. “Tesla scale in SF is still small, and we dont expect impact on Uber/Lyft financial performance in 25,” they wrote.

Tesla is operating an unknown number of cars with drivers using supervised full self-driving in the Bay Area, and roughly 30 autonomous robotaxis in Austin. The company has allowed the public to download its Robotaxi app and join a waitlist, but it hasn’t said how many people have been let in off that waitlist.

While the analysts found that Tesla ride-shares are cheaper than traditional ride-share services like Uber and Lyft, the wait times are a lot longer (nine-minute wait times on average, when cars were available at all) and the process has more friction. They also said the “nature of [a] Tesla FSD ‘driver’ is slightly more aggressive than a Waymo,” the Google-owned company that’s currently operating 800 vehicles in the Bay Area.

APPLE INTELLIGENCE

Apple AI was MIA at iPhone event

A year and a half into a bungled rollout of AI into Apple’s products, Apple Intelligence was barely mentioned at the “Awe Dropping” event.

Jon Keegan9/10/25
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Jon Keegan
9/10/25

Oracle’s massive sales backlog is thanks to a $300 billion deal with OpenAI, WSJ reports

OpenAI has signed a massive deal to purchase $300 billion worth of cloud computing capacity from Oracle, according to a report from The Wall Street Journal.

The report notes that the five-year deal would be one of the largest cloud computing contracts ever signed, requiring 4.5 gigawatts of capacity.

The news is prompting shares to pare some of their massive gains, presumably because of concerns about counterparty and concentration risk.

Yesterday, Oracle shares skyrocketed as much as 30% in after-hours trading after the company forecast that it expects its cloud infrastructure business to see revenues climb to $144 billion by 2030.

Oracle shares were up as much as 43% on Wednesday.

It’s the second example in under a week of how much OpenAI’s cash burn and fundraising efforts are playing a starring role in the AI boom: the Financial Times reported that OpenAI is also the major new Broadcom customer that has placed $10 billion in orders.

Yesterday, Oracle shares skyrocketed as much as 30% in after-hours trading after the company forecast that it expects its cloud infrastructure business to see revenues climb to $144 billion by 2030.

Oracle shares were up as much as 43% on Wednesday.

It’s the second example in under a week of how much OpenAI’s cash burn and fundraising efforts are playing a starring role in the AI boom: the Financial Times reported that OpenAI is also the major new Broadcom customer that has placed $10 billion in orders.

Large companies have started to drop AI from their businesses

Census data shows drop in large companies using AI

AI appears to be everywhere, but that doesn’t mean big companies have fully embraced the use of the technology in their day-to-day business.

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