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How can AI direct your call

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

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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Google’s AI chip business could be a $900 billion boon for the company

Google may be sitting on a massive new business that it has yet to fully exploit.

Google’s custom tensor processing unit (TPU) AI chips have been getting a lot of attention recently, making the tech world wonder if there are other ways to power its AI dreams rather than just by using Nvidia’s GPUs.

Bloomberg spoke with analysts who estimate that, if it does decide to sell its chips to others, Google could capture 20% of the AI market, making it a $900 billion business. For comparison, Google Cloud pulled in $43.2 billion of revenue last year.

Even if Google just sticks with renting access to its TPUs, it will continue to drive down costs and increase margins as it ekes out performance improvements, such as the 30x improvement in power efficiency that the latest generation of TPUs has delivered for the company.

Bloomberg spoke with analysts who estimate that, if it does decide to sell its chips to others, Google could capture 20% of the AI market, making it a $900 billion business. For comparison, Google Cloud pulled in $43.2 billion of revenue last year.

Even if Google just sticks with renting access to its TPUs, it will continue to drive down costs and increase margins as it ekes out performance improvements, such as the 30x improvement in power efficiency that the latest generation of TPUs has delivered for the company.

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OpenAI’s Sam Altman has explored bringing his feud with Tesla’s Elon Musk to space

Billionaires, they’re just like us: they want to bring their terrestrial beefs to outer space.

OpenAI CEO Sam Altman has explored buying or partnering with a rocket company to compete with Tesla CEO Elon Musk’s SpaceX, The Wall Street Journal reports. The two billionaires have had numerous public feuds over the years that have played out in the courts and on social media. They also both lead AI companies that have insatiable needs for data centers and have publicly discussed building data centers in space.

Altman seems like he thinks this could be more than science fiction. He reportedly reached out to rocket maker Stoke Space to potentially make equity investments in the company to get a controlling stake, though the talks are no longer active, WSJ reports.

Or perhaps he just wanted a Sherwood bobblehead of himself.

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Report: Meta to slash metaverse, VR spending by up to 30%

Four years after changing its name to reflect its focus on the loosely defined “metaverse,” Meta is planning deep cuts to the company’s money-losing virtual reality efforts, according to a report from Bloomberg.

Meta’s Reality Labs division, home to the teams working on metaverse products — which include Quest VR headsets, Horizon Worlds, and its Ray-Ban Meta glasses — has lost about $70 billion since the company started breaking out the unit in 2020.

The company has struggled to get consumers to buy into CEO Mark Zuckerberg’s vision of working and playing in virtual reality worlds, like the company’s Horizon Worlds platform.

Investors seem to love the news of the pivot, as shares shot up as much as 5% in early trading.

Meta’s recent hiring spree of AI superstars from competitors for its Meta Superintelligence Labs shows that the company’s attention is now all in on AI.

Meta’s Reality Labs division, home to the teams working on metaverse products — which include Quest VR headsets, Horizon Worlds, and its Ray-Ban Meta glasses — has lost about $70 billion since the company started breaking out the unit in 2020.

The company has struggled to get consumers to buy into CEO Mark Zuckerberg’s vision of working and playing in virtual reality worlds, like the company’s Horizon Worlds platform.

Investors seem to love the news of the pivot, as shares shot up as much as 5% in early trading.

Meta’s recent hiring spree of AI superstars from competitors for its Meta Superintelligence Labs shows that the company’s attention is now all in on AI.

Salesforce CEO Marc Benioff Kicks Off Dreamforce With Keynote Presentation

The best quotes from Salesforce’s earnings call

CEO Marc Benioff doesn’t disappoint.

tech

Salesforce jumps as Q3 earnings top expectations

Salesforce jumped after-hours Wednesday as it posted earnings and guidance that beat analysts’ expectations. Its adjusted earnings per share came in at $3.25 for the third quarter of fiscal 2026, above the FactSet analyst consensus estimate of $2.86. Its revenue rose 9% to $10.3 billion, in line with expectations.

The software-as-a-service company issued fourth-quarter revenue guidance of $11.13 billion to $11.23 billion, well above the $10.9 billion analysts had predicted. It also forecast adjusted earnings of $3.02 to $3.04 per share, compared with analysts’ expectations of $3.04.

Shares were up 4.3% in recent trading.

“Our Agentforce and Data 360 products are the momentum drivers,” CEO Marc Benioff said in the press release.

Last quarter, Salesforce shares fell after the company issued disappointing third-quarter guidance. Coming into today’s report, the stock was down about 30% year to date.

Investors will be watching the earnings call closely for updates on the company’s AI strategy — particularly progress on Agentforce and broader adoption of its AI-driven cloud offerings.

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