AI Startups Offer Digital Clones for Executives
The Economics of Generative AI
Companies Need a Better Read on What Their Workers Actually Do
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AI Startups Offer Digital Clones for Executives
Edo Segal is actively raising money for his startup, but even with the investor meetings he has scheduled, his calendar is wide open. That’s because Segal has been using an AI doppelganger to help do the pitching for him.
This isn’t some cutesy cartoon avatar. The realistic-looking clone, designed by Segal’s AI startup, Touchcast, matches his voice and mannerisms, from the tilt of his brow to the attentive gaze. The service can read a PowerPoint presentation and turn it into a script for the digital double, as well as incorporate documents and online content to generate responses. In a demo over Zoom, Segal’s clone was so lifelike I almost forgot it was entirely synthetic.
“Investors can talk to my twin for as long as they want, ask any number of questions,” said Segal, a serial entrepreneur who is raising a Series B funding round for Touchcast. “With the digital twin, you can afford to simultaneously have countless conversations with numerous investors.”….
The Economics of Generative AI
In research with Lindsey Raymond, we analyze the effects of generative AI on worker productivity in the context of technical customer support. Our study is based on data from over 5,179 agents, about 1,300 of whom were given access to an AI-based assistant that provided real-time suggestions for communicating with customers. The system, trained on millions of examples of successful and unsuccessful conversations, provided suggestions that the agents could use, adapt, or reject.
We found significant improvements in worker productivity as measured by the number of customer issues workers were able to resolve per hour. Within four months, treated agents were outperforming nontreated agents who had been on the job for over twice as long.
On average, worker productivity increased by 14 percent. These gains were concentrated among the lowest quintile of workers, whether measured by experience or prior productivity, where there were productivity gains of up to 35 percent. In contrast, the top quintile saw negligible gains and, in some cases, even small decreases in the quality of conversations, as measured by customer satisfaction….
By Erik Brynjoffsson and Danielle Li of The National Bureau of Economic Reserch
Companies Need a Better Read on What Their Workers Actually Do
How to even measure productivity, let alone make it better, is a big question corporate chiefs and economists are trying out new ways to answer. Getting it right has rarely been more important.
The emergence of hybrid work as the dominant model at most white-collar businesses has bosses scrambling to figure out the optimal blend of remote and in-office collaboration. And they have to decide how generative AI can enhance worker productivity—typically a hit-and-miss business with new technologies. A recent study of 758 Boston Consulting Group analysts using ChatGPT found there were “huge performance benefits” for some tasks, while others were more easily performed without it. Employees at tech-focused venture capital firm 776, headed by Reddit co-founder Alexis Ohanian, are using AI to draft press releases and automate data entry.
A recent example: Almost 9 out of 10 workers polled by Microsoft Corp. in 2022 reported being productive, but just 1 in 10 leaders in the same survey expressed confidence that their own teams were firing on all cylinders….