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Erik Brynjolfsson

Erik Brynjolfsson

American academic and authorWikipedia

Search complete. 39 mentions across 29 episodes found for "Erik Brynjolfsson".

Nov 12, 2026

speaker_1HOST
12:04
But look at how AI actually impacts productivity mechanically.
speaker_1HOST
12:08
The Brynjolfsson study of customer support agents is crucial here.
speaker_1HOST
12:12
They found that providing generative AI to agents boosted overall productivity by 14%.
speaker_1HOST
12:16
Which is massive.
Wendi WilliamsHOST
42:55
And the unemployment figures that I recently cited, as they continue to grow, are from the Bureau of Labor Statistics data, as reported in the 19th news outlet.
Wendi WilliamsHOST
43:06
The findings about AI are Eric Brynjolfsson's and colleagues at Stanford's.
Wendi WilliamsHOST
43:12
Naming feelings as a way to empower oneself and to, you know, start to counter shame is the work of Matthew Lieberman's lab.
Wendi WilliamsHOST
43:20
And shame and self-compassion after suicide, after a suicide attempt, rather, is Hayao Zhang, Nadine Klaslow, and her colleagues at Emory.
speaker_0HOST
12:38
Right.
speaker_0HOST
12:39
Field evidence like the 2025 Brynjolfsson study shows a 14% productivity bump when generative AI is used correctly, especially for less experienced workers.
speaker_0HOST
12:48
But how do you unlock that? By giving them the tools.
speaker_0HOST
12:50
By having structure.
Fabio LauriaHOST
1:55
Research shows the return comes from changing managerial habits, not just buying technology.
Fabio LauriaHOST
2:01
A 2011 study by Brynjolfsson, Hitt, and Kim found that U.S. public firms using data-driven decision-making achieved 5% to 6% higher output and productivity than expected from their IT investments alone.
Fabio LauriaHOST
2:15
Track decision latency, the time from alert to verified action, alongside outcomes like stockout rates, post-promotion margin, false positive review rates, and cash buffer breaches.
Fabio LauriaHOST
2:26
Start with one recurring decision and prove the baseline moved.
Max the BotHOST
3:57
Azimajar's Exponential View weekend briefing, dated November 8th, has one of the most useful cautions of the week.
Max the BotHOST
4:04
Azim notes that productivity grew at 3.6% in the latest quarter, and Erik Brynjolfsson argues that we're turning the corner on productivity.
Max the BotHOST
4:15
But Azim adds the right caveat.
Max the BotHOST
4:17
Productivity data is noisy, and in the PC era, it took about 14 years for computers to clearly show up in headline productivity statistics.
Shayla LoveNARRATOR
10:13
In his 1930 essay, Economic Possibilities for Our Grandchildren, he warned of what he called technological unemployment, the possibility that humanity might discover ways of saving labor faster than it could discover new uses for it.
Shayla LoveNARRATOR
10:27
For decades, economists largely dismissed this concern in two ways.
Shayla LoveNARRATOR
10:32
The first was Joseph Schumpeter's theory of creative destruction.
Shayla LoveNARRATOR
10:37
Technological progress destroys existing occupations, but it also creates new industries, new professions, and ultimately more productive forms of employment.
Daron AcemogluSOUNDBITE_SPEAKER
1:16
And it is also up for grabs whether there will be new jobs of the same quality.
Adrian MaHOST
1:22
And Erik Brynjolfsson,
Erik BrynjolfssonSOUNDBITE_SPEAKER
1:24
director of the Stanford Digital Economy Lab.
Erik BrynjolfssonSOUNDBITE_SPEAKER
1:26
We can steer AI in ways that are more likely to complement humans and therefore create new opportunities.
speaker_8ADVERTISER
2:38
Listen to Pop Culture Happy Hour on the NPR app or wherever you get your podcasts.
Adrian MaHOST
2:48
So let's start with some good news.
Adrian MaHOST
2:50
Stanford's Erik Brynjolfsson told us that there is currently no evidence that AI is causing widespread job displacement.
Adrian MaHOST
2:57
But as we heard throughout the event, people's fear that AI could take their jobs is real.
Dave BlundinPANELIST
21:24
Yeah, how convenient.
Dave BlundinPANELIST
21:25
I'll ask Eric Brynjolfsson at Stanford next week, like, look, just fundamentally, how much money is there in the world? We must be getting near the end.
Dave BlundinPANELIST
21:33
Of what exists, you
Peter DiamandisHOST
21:35
know.
Kieran GilmurrayHOST
15:51
None of this makes AI a de-skilling technology by nature, and the strongest evidence against that view comes from customer service.
Kieran GilmurrayHOST
15:59
Erik Brynjolfsson, Danielle Lee and Lindsay Raymond studied thousands of support agents at a large software company as it introduced an AI assistant that suggested responses in real time, while the agent stayed responsible for each conversation and free to ignore its suggestions.
Kieran GilmurrayHOST
16:18
Productivity rose most for novice and less skilled agents, and new agents with the assistant performed about as well as colleagues with considerably more time in the job.
Kieran GilmurrayHOST
16:30
The researchers found evidence that the system was spreading the practices of the best agents to everyone else, and their working paper reported that agents who had used it still performed better than their earlier baseline during system outages.
Jeffrey FunkGUEST
27:30
So people have been treating AI, you know, the applications and how it's going to succeed in a very superficial way for more than 10 years.
Jeffrey FunkGUEST
27:40
And part of that goes back to Brynjolfsson and McAfee and their books and how easy this is going to be.
Jeffrey FunkGUEST
27:44
I mean, they had a book in 2012 saying, Hey, I was going to be this great big thing.
Jeffrey FunkGUEST
27:48
And they kept writing the books.

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