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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

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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SpaceX filings reportedly show no one can fire Elon Musk except Elon Musk

The only thing stopping Elon Musk from being chairman and CEO of SpaceX is Elon Musk, according to Reuters, which viewed an excerpt of the company’s IPO filing.

The document outlines a dual-class share structure giving Musk control via super-voting stock. The filing says he “can only be removed from our board or these positions by the vote of Class B holders” — shares he’ll control after the listing. It adds that if he keeps those shares, he could “continue to control the election and removal of a majority of our board.”

At a typical public company — even founder-led ones with dual-class structures — a CEO can be fired by the board of directors, which represents shareholders and can vote to remove them over issues such as corporate performance, strategy, or misconduct.

The unusual SpaceX setup means Musk is unlikely to face the kind of CEO succession pressure he’s dealt with at Tesla. Musk, of course, is not a typical CEO, and the value of his companies has long been closely tied to his presence.

To be sure, SpaceXs confidential IPO filing isnt in its final form yet — while the filing is still in the confidential phase, the company will be going back and forth with the SEC, which will review it and suggest or require changes.

At a typical public company — even founder-led ones with dual-class structures — a CEO can be fired by the board of directors, which represents shareholders and can vote to remove them over issues such as corporate performance, strategy, or misconduct.

The unusual SpaceX setup means Musk is unlikely to face the kind of CEO succession pressure he’s dealt with at Tesla. Musk, of course, is not a typical CEO, and the value of his companies has long been closely tied to his presence.

To be sure, SpaceXs confidential IPO filing isnt in its final form yet — while the filing is still in the confidential phase, the company will be going back and forth with the SEC, which will review it and suggest or require changes.

tech
Rani Molla

OpenAI’s models are officially coming to Amazon

Amazon is finally getting in on the hottest ticket in tech.

After Microsoft announced yesterday that it has agreed to give up its exclusive rights to sell OpenAI’s models, Amazon, as expected, will start offering them to customers — something Amazon Web Services CEO Matt Garman says users have been asking for “for a really long time.” Some models are available now in preview, and the most powerful GPT versions will show up “in the coming weeks.”

This is a big shift in the AI cloud wars. Microsoft’s early bet on OpenAI gave Azure an edge by locking up the most in-demand models. Now that exclusivity is gone, Amazon and other competitors can finally offer them too, closing a key gap and competing more directly for AI customers.

This is a big shift in the AI cloud wars. Microsoft’s early bet on OpenAI gave Azure an edge by locking up the most in-demand models. Now that exclusivity is gone, Amazon and other competitors can finally offer them too, closing a key gap and competing more directly for AI customers.

tech

Ship-tracking app surges as Iran war continues

As Middle East peace talks stretch on, with Tehran reportedly offering to reopen the Strait of Hormuz if the US lifts its blockade and the war ends, the owner of shipping intelligence platform MarineTraffic revealed that the app has gained millions of new users since the conflict began.

MarineTraffic’s user count jumped to 8.5 million this April, up from 3.5 million a year ago, the cofounder of its parent company, Kpler, said in an interview with the Financial Times. Paid subscribers, often workers within companies and governments looking for more data on supply chains and commodities trading, rose 11,000 in the same period.

Kpler, which also owns shipping intelligence platform FleetMon, draws its data from a range of sources, including the Automatic Identification System, satellites, and more than 500 people on-site, like port terminal operators.

Per Appfigures data, MarineTraffic is estimated to have raked in almost $1 million across March and April in app revenue (through April 27), more than double the ~$346,500 from the same months last year. Across the full year, Kpler expects to earn between $300 million and $400 million in annual recurring revenues.

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