WHY REMOTE WORK COULD LEAD TO LESS INNOVATION - Kanebridge News
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WHY REMOTE WORK COULD LEAD TO LESS INNOVATION

Do chance encounters among employees of different Silicon Valley companies in coffee shops, restaurants and other public places lead to innovation? The answer is yes, say researchers who examined such “knowledge spillovers” in a study that may have implications for today’s work-from-home culture.

The researchers—Keith Chen of the University of California, Los Angeles, and David Atkin and Anton Popov of the Massachusetts Institute of Technology—tracked the locations of 425,000 phones using commercially available cellphone-location data. Though the data is anonymous and linked only to the unique ID number of each phone, the researchers surmised where the phone owners worked by looking at where the phones spent large parts of the workday, using a map of buildings occupied by Silicon Valley companies that have filed patents.

Examining instances where phone owners went outside the office and ended up near someone from another Silicon Valley company, they found 218 million episodes in which two workers from different companies were in the same place between September 2016 and November 2017.

For their study, they considered only situations in which both people were near each other for at least a half-hour, and used a probability technique to eliminate meetings that might have been arranged in advance. They also assumed that many of these people bumped into someone they already knew, such as a former colleague.

Sharing knowledge
Such chance meetings “may spark a conversation that leads to a transfer of knowledge or a collaboration,” the researchers wrote.

Next, the research team pulled up patent applications filed by the companies of the employees. Such applications list relevant patents from other companies in so-called patent citations. Patent citations are “one measure of which firms are influencing each other and how firms are sharing ideas,” says Prof. Chen, who studies behavioral economics and strategy at UCLA’s Anderson School of Management.

The researchers then worked backward in time. They looked for places where employees of a patent-filing company may have crossed paths with workers from companies cited in the patent application.

“We rewind the clock to a year before when they would have been developing this technology,” says Prof. Chen. “What school were they dropping their kids off at, what mall were they shopping at, what bar do they frequent. And you infer who was at that bar when they were there,” based on the phone-location data.

The goal, Prof. Chen says, is “to connect workers of the firm that is going to file the patent, at the establishment where we infer that patent was innovated, with what other workers they were interacting with.”

Next, the researchers calculated the overall number of such citations that appear to have been linked to unplanned encounters. The upshot: The researchers say that without these encounters, there would have been about 8% fewer cross-firm patent citations in the period covered by the phone-location data.

“There is a tremendous correlation between my workers’ meeting a lot with your workers, and my workers’ citing your workers’ patent,” says Prof. Chen.

The innovation boost from the encounters, by the team’s calculations, is about twice as large as a similar effect found by other research that looked for knowledge transfer based on whether two companies’ offices are near each other, Prof. Chen says.

Their study comes with some caveats. The researchers don’t know whether these employees actually spoke when they were in the same location, or, if they spoke, what they talked about. And they don’t know whether the workers’ jobs would have facilitated a tech discussion—they might have involved a Google HR staffer and an Apple maintenance person.

Still, the report shines a light on what some experts have long suspected: that random conversations involving people in similar industries can increase innovation.

Enrico Moretti, an economics professor at the University of California, Berkeley, says the study “significantly advances our understanding of knowledge spillovers and how they shape the geography of innovation.” Prof. Moretti, who says he has been working on the topic for 25 years, says, “I find this paper to be one of the most direct and convincing pieces of evidence on this question. It provides important insights into why Silicon Valley-style clusters of innovation exist.”

Remote work’s impact
Though the study involved cellphone data from before Covid, the researchers say it has implications for an era when many people work all or part of the time from home.

The researchers looked at people who occasionally worked from home in the study period, based on where their phones were located during daytime hours, and then at how that affected their probability of attending planned or serendipitous meetings with someone from another company who didn’t work from home, Prof. Chen says.

Looking at two hypothetical companies, the researchers extrapolated that if one-half of employees at each business work from home, their meetings of all types—serendipitous and planned—would fall 35% and patent citations between the companies would decline almost 12%.

“We think this means information exchange between firms is decreasing,” Prof. Chen says. “It is worrying. These businesses co-locate for a reason. If they can’t learn from each other, we think that is a big deal.”

“Presumably,” he adds, “an even bigger effect is the harm that it does to serendipity and flow of information and innovation within the firm.”

By BART ZIEGLER
Wed, May 17, 2023 4:31pmGrey Clock 3 min

Do chance encounters among employees of different Silicon Valley companies in coffee shops, restaurants and other public places lead to innovation? The answer is yes, say researchers who examined such “knowledge spillovers” in a study that may have implications for today’s work-from-home culture.

The researchers—Keith Chen of the University of California, Los Angeles, and David Atkin and Anton Popov of the Massachusetts Institute of Technology—tracked the locations of 425,000 phones using commercially available cellphone-location data. Though the data is anonymous and linked only to the unique ID number of each phone, the researchers surmised where the phone owners worked by looking at where the phones spent large parts of the workday, using a map of buildings occupied by Silicon Valley companies that have filed patents.

Examining instances where phone owners went outside the office and ended up near someone from another Silicon Valley company, they found 218 million episodes in which two workers from different companies were in the same place between September 2016 and November 2017.

For their study, they considered only situations in which both people were near each other for at least a half-hour, and used a probability technique to eliminate meetings that might have been arranged in advance. They also assumed that many of these people bumped into someone they already knew, such as a former colleague.

Sharing knowledge

Such chance meetings “may spark a conversation that leads to a transfer of knowledge or a collaboration,” the researchers wrote.

Next, the research team pulled up patent applications filed by the companies of the employees. Such applications list relevant patents from other companies in so-called patent citations. Patent citations are “one measure of which firms are influencing each other and how firms are sharing ideas,” says Prof. Chen, who studies behavioral economics and strategy at UCLA’s Anderson School of Management.

The researchers then worked backward in time. They looked for places where employees of a patent-filing company may have crossed paths with workers from companies cited in the patent application.

“We rewind the clock to a year before when they would have been developing this technology,” says Prof. Chen. “What school were they dropping their kids off at, what mall were they shopping at, what bar do they frequent. And you infer who was at that bar when they were there,” based on the phone-location data.

The goal, Prof. Chen says, is “to connect workers of the firm that is going to file the patent, at the establishment where we infer that patent was innovated, with what other workers they were interacting with.”

Next, the researchers calculated the overall number of such citations that appear to have been linked to unplanned encounters. The upshot: The researchers say that without these encounters, there would have been about 8% fewer cross-firm patent citations in the period covered by the phone-location data.

“There is a tremendous correlation between my workers’ meeting a lot with your workers, and my workers’ citing your workers’ patent,” says Prof. Chen.

The innovation boost from the encounters, by the team’s calculations, is about twice as large as a similar effect found by other research that looked for knowledge transfer based on whether two companies’ offices are near each other, Prof. Chen says.

Their study comes with some caveats. The researchers don’t know whether these employees actually spoke when they were in the same location, or, if they spoke, what they talked about. And they don’t know whether the workers’ jobs would have facilitated a tech discussion—they might have involved a Google HR staffer and an Apple maintenance person.

Still, the report shines a light on what some experts have long suspected: that random conversations involving people in similar industries can increase innovation.

Enrico Moretti, an economics professor at the University of California, Berkeley, says the study “significantly advances our understanding of knowledge spillovers and how they shape the geography of innovation.” Prof. Moretti, who says he has been working on the topic for 25 years, says, “I find this paper to be one of the most direct and convincing pieces of evidence on this question. It provides important insights into why Silicon Valley-style clusters of innovation exist.”

Remote work’s impact

Though the study involved cellphone data from before Covid, the researchers say it has implications for an era when many people work all or part of the time from home.

The researchers looked at people who occasionally worked from home in the study period, based on where their phones were located during daytime hours, and then at how that affected their probability of attending planned or serendipitous meetings with someone from another company who didn’t work from home, Prof. Chen says.

Looking at two hypothetical companies, the researchers extrapolated that if one-half of employees at each business work from home, their meetings of all types—serendipitous and planned—would fall 35% and patent citations between the companies would decline almost 12%.

“We think this means information exchange between firms is decreasing,” Prof. Chen says. “It is worrying. These businesses co-locate for a reason. If they can’t learn from each other, we think that is a big deal.”

“Presumably,” he adds, “an even bigger effect is the harm that it does to serendipity and flow of information and innovation within the firm.”



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A survey of people with at least $1 million in investable assets found women in their 30s and 40s look nothing like older generations in terms of assets and priorities

By Chava Gourarie
Mon, Mar 9, 2026 2 min

Millennial women’s wealth is outpacing men’s as a new generation inherits and grows their assets at a wider scale than ever before, according to RBC Wealth Management.

In a survey of roughly 2,000 men and women with at least $1 million in investable assets, millennial women respondents had an average of $4.6 million, compared with $3.8 million for women of all age groups and $4.5 million for all men.

Inheritance is one part of the picture, as baby boomers are expected to transfer $124 trillion to the next generation, but so is the progress millennial women have made in the world of business, investment and lucrative professional careers as they close the gap with men.

“Millennial women are catching up, or have outpaced the males as far as their wealth building,” said Angie O’Leary, head of wealth strategies at RBC. “We know that’s coming from a more diversified set of investments, such as entrepreneurship, real estate and of course, investments [in financial markets].”

Millennial women, now in their 30s and 40s, tend to differ from earlier generations of women more than they do from men in terms of their source of wealth. While investments were the largest driver of wealth across all categories, millennial women cited business ownership, innovation, and executive roles far more than Gen X or boomer women.

More than 60% of millennial women cited business ownership and more than 40% mentioned executive roles, but neither exceeded 22% for either Gen Xers and Boomers. Younger women also grew their fortunes from professional sports or arts 39% of the time, compared with just 6% and 1% for Gen Xers and Boomers, respectively.

In terms of inheritance, the gap between generations was smaller. About 37% of men and 35% of women cited family money as a source of wealth overall, breaking down to 44% of millennials, 30% of Gen X and 33% of boomer women.

With women controlling so much wealth, their spending and investments as a group are evolving and extending into areas previously considered stereotypically male such as real estate, cars and watches, O’Leary said. “Women are starting to look a lot like their male counterparts when it comes to investments, real estate, philanthropy,” she said. “That’s a really interesting emerging female economy.”

In real estate, for example, single women made up 20% of home buyers in 2024  up from 11% in 1981, when the National Association of Realtors began tracking the data. By contrast, single men make up 8% of the market and have never exceeded 10%, according to NAR.

While men and women shared largely similar priorities overall in terms of well-being, relationships, legacy and personal drive, younger generations of women were successively more likely to value drive and personal power, and successively less likely to rank relationships and social bonds—though that could also be a function of age and stage of life.

“This generational shift suggests evolving societal norms and responsibilities, where younger women seek personal achievements, while older cohorts value nurturing connections and community stability, affecting their financial and lifestyle choices,” the report said.