AI threatens young, administrative workers

Reposted by Aija Leiponen, Daniel S. Goldberg, Rebecca Tushnet , and 7 more Aija Leiponen, Daniel S. Goldberg, Rebecca Tushnet, Lesley A. Hall, Felicity Callard, Gavin A. Schmidt, Michael W. Kraus, Meredith Farkas, James A. Benn, Elisa Freschi

34%

Scholar power: 34.4%

Story's scientific field profile

Economics 50%, Business 39%, Energy 11%

Name	Field match	H-index	Scholar power
🎓 Aija Leiponen	37%	26	18.9%
🎓 Daniel S. Goldberg	21%	19	9.2%
🎓 Rebecca Tushnet	12%	14	4.5%
🎓 Lesley A. Hall	3%	20	1.3%
🎓 Felicity Callard	1%	35	0.6%
🎓 Gavin A. Schmidt	-	79	-
🎓 Michael W. Kraus	-	42	-
🎓 Meredith Farkas	-	7	-
🎓 James A. Benn	-	7	-
🎓 Elisa Freschi	-	7	-
Total			34.4%

Formula for scholar power: sum of each reposter's field match × √reposter's h-index

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Reposts

Scholar power

53.0%

22.0 h

2066

34.4%

Ranking score

0.41

Formula for ranking score (post): scholar_power × max((total_reposts)^(1/3), 1) × (1 / max(hours_since_posted, 1)) × (raw_relevance)^3

Carl Quintanilla

@carlquintanilla.bsky.social

HARVARD BUSINESS REVIEW: “.. In our in-progress research, we discovered that AI tools didn’t reduce work, they consistently intensified it.”

hbr.org/2026/02/ai-d...

February 10, 2026 at 1:17 PM

by Robert J. Shiller Reposted by Joshua Gans

206%

Scholar power: 206.2%

Story's scientific field profile

Economics 50%, Business 39%, Energy 11%

Name	Field match	H-index	Scholar power
🎓 Robert J. Shiller	57%	109	178.5%
🎓 Joshua Gans	37%	56	27.7%
Total			206.2%

Formula for scholar power: 3 × author's field match × √author's h-index + sum of each reposter's field match × √reposter's h-index

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Reposts

Scholar power

49.0%

20.9 h

41

206.2%

Ranking score

0.4

Formula for ranking score (post): scholar_power × max((total_reposts)^(1/3), 1) × (1 / max(hours_since_posted, 1)) × (raw_relevance)^3

by Justin Wolfers

89%

Scholar power: 89.1%

Story's scientific field profile

Economics 50%, Business 39%, Energy 11%

Name	Field match	H-index	Scholar power
🎓 Justin Wolfers	39%	58	89.1%

Formula for scholar power: 3 × author's field match × √author's h-index

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Reposts

Scholar power

55.0%

22.4 h

184

89.1%

Ranking score

0.276

Formula for ranking score (post): scholar_power × max((total_reposts)^(1/3), 1) × (1 / max(hours_since_posted, 1)) × (raw_relevance)^3

Justin Wolfers

@justinwolfers.bsky.social

That little market freakout is a real mechanism: if AI makes it cheap to do what a vendor used to sell you, the vendor’s future profits fall—even as the rest of us get more productive.

February 10, 2026 at 12:52 PM

Reposted by Anton Korinek

34%

Scholar power: 34.6%

Story's scientific field profile

Economics 50%, Business 39%, Energy 11%

Name	Field match	H-index	Scholar power
🎓 Anton Korinek	54%	41	34.6%

Formula for scholar power: sum of each reposter's field match × √reposter's h-index

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Reposts

Scholar power

56.0%

21.0 h

3

34.6%

Ranking score

0.042

Formula for ranking score (post): scholar_power × max((total_reposts)^(1/3), 1) × (1 / max(hours_since_posted, 1)) × (raw_relevance)^3

by Mohamed A. El‐Erian

52%

Scholar power: 52.3%

Story's scientific field profile

Economics 50%, Business 39%, Energy 11%

Name	Field match	H-index	Scholar power
🎓 Mohamed A. El‐Erian	45%	15	52.3%

Formula for scholar power: 3 × author's field match × √author's h-index

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Reposts

Scholar power

48.0%

22.3 h

30

52.3%

Ranking score

0.04

Formula for ranking score (post): scholar_power × max((total_reposts)^(1/3), 1) × (1 / max(hours_since_posted, 1)) × (raw_relevance)^3

Mohamed A. El-Erian

@elerianm.bsky.social

... Some traders are simply hunting for better deals than the richly priced shares offered at home. Others are hoping to diversify out of major domestic indexes dominated by just a handful of names in the tech industry."

#markets #stocks #investing #investors

3 of 3

February 10, 2026 at 1:02 PM

by Justin Wolfers

89%

Scholar power: 89.1%

Story's scientific field profile

Economics 50%, Business 39%, Energy 11%

Name	Field match	H-index	Scholar power
🎓 Justin Wolfers	39%	58	89.1%

Formula for scholar power: 3 × author's field match × √author's h-index

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Reposts

Scholar power

46.0%

21.5 h

14

89.1%

Ranking score

0.207

Formula for ranking score (post): scholar_power × max((total_reposts)^(1/3), 1) × (1 / max(hours_since_posted, 1)) × (raw_relevance)^3

by Leibniz-Informationszentrum Wirtschaft

29%

Scholar power: 29.7%

Story's scientific field profile

Economics 50%, Business 39%, Energy 11%

Name	Field match	H-index	Scholar power
🎓 Leibniz-Informationszentrum Wirtschaft	35%	8	29.7%

Formula for scholar power: 3 × author's field match × √author's h-index

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Recency

Reposts

Scholar power

47.0%

22.0 h

0

29.7%

Ranking score

0.013

Formula for ranking score (post): scholar_power × max((total_reposts)^(1/3), 1) × (1 / max(hours_since_posted, 1)) × (raw_relevance)^3

ZBW – Leibniz Informationszentrum Wirtschaft

@zbw-leibniz.bsky.social

Two-speed diffusion: Fast take-up, gradual deepening

VoxEU @ CEPR @voxeu.org · 2d

A survey of German firms shows over half of firms currently use generative AI or expect to use it by the end of the year. Firms expect productivity, wages, and demand for high-skilled workers to rise, with little change in low-skill employment.
E Falck & A Nagengast
cepr.org/voxeu/column...
#EconSky

Chart showing firms’ assessments of GenAI’s economic effects. Among adopters (and near-term adopters), productivity expectations are decisively positive. The share of (current or prospective) GenAI users expecting labour productivity to increase by at least 2% rises from 46% (2024) to 51% (2025) and 54% (2026); around one-quarter even expect gains of 5% or more, while only about 4–5% foresee productivity losses.

The novelty and speed of diffusion of generative AI means that evidence on its impact on productivity and the future of work is scarce. This column uses survey data from over 7,000 German firms to help address this gap. Over half of firms surveyed currently use generative AI or expect to use it by the end of the year, up from 26% in 2024. GenAI-related spending is expected to rise markedly from 2024 to 2026, but spending forecasts point to diminishing returns once easily scalable applications have been implemented. Firms expect productivity, wages, and demand for high-skilled workers to rise, with little change in low-skill employment.

February 10, 2026 at 1:16 PM

by Mohamed A. El‐Erian

52%

Scholar power: 52.3%

Story's scientific field profile

Economics 50%, Business 39%, Energy 11%

Name	Field match	H-index	Scholar power
🎓 Mohamed A. El‐Erian	45%	15	52.3%

Formula for scholar power: 3 × author's field match × √author's h-index

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Recency

Reposts

Scholar power

45.0%

21.5 h

41

52.3%

Ranking score

0.037

Formula for ranking score (post): scholar_power × max((total_reposts)^(1/3), 1) × (1 / max(hours_since_posted, 1)) × (raw_relevance)^3

Mohamed A. El-Erian

@elerianm.bsky.social

... 0.4% forecast, and the “Control Group” contracting by -0.1% (versus the expected 0.4% gain).
This December cooling of retail sales underscores the importance of AI-related industrial and service sectors as drivers of growth.
#economy #retailsales #markets #growth

2 of 2

February 10, 2026 at 1:47 PM

Reposted by Nicolas Véron

23%

Scholar power: 23.9%

Story's scientific field profile

Economics 50%, Business 39%, Energy 11%

Name	Field match	H-index	Scholar power
🎓 Nicolas Véron	51%	22	23.9%

Formula for scholar power: sum of each reposter's field match × √reposter's h-index

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Reposts

Scholar power

48.0%

23.3 h

1

23.9%

Ranking score

0.011

Formula for ranking score (post): scholar_power × max((total_reposts)^(1/3), 1) × (1 / max(hours_since_posted, 1)) × (raw_relevance)^3

Bruegel

@bruegel.org

📊 AI adoption in the financial sector: the experience so far [ONLINE ONLY]
🗓️ 19 February 2026 14:00-15:00 (CEST)

Join @veron.bsky.social & Marie Brière (Amundi Investment Institute & Institut Louis Bachelier) for a discussion on AI adoption in the financial sector.

🔗 Online only: buff.ly/UKxU0A5

February 10, 2026 at 12:00 PM

by Lilian Edwards

7%

Scholar power: 7.3%

Story's scientific field profile

Economics 50%, Business 39%, Energy 11%

Name	Field match	H-index	Scholar power
🎓 Lilian Edwards	5%	24	7.3%

Formula for scholar power: 3 × author's field match × √author's h-index

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Reposts

Scholar power

47.0%

11.7 h

4

7.3%

Ranking score

0.006

Formula for ranking score (post): scholar_power × max((total_reposts)^(1/3), 1) × (1 / max(hours_since_posted, 1)) × (raw_relevance)^3

Lilian Edwards

@lilianedwards.bsky.social

www.techpolicy.press/the-real-cos...
"While the European Union is starting to distance itself from US Big Tech monopolies with countries moving towards tech sovereignty, the AI Skills Hub is one example of how, conversely, the UK is moving away from sovereignty to greater dependency."

The Real Cost of the UK’s ‘Free AI Training for All’ is Democracy

Researchers argue the UK's 'AI Skills Hub' should be re-thought with input from civil society groups and public interest organizations.

www.techpolicy.press

February 10, 2026 at 11:37 PM

by Felicity Callard

1%

Scholar power: 1.8%

Story's scientific field profile

Economics 50%, Business 39%, Energy 11%

Name	Field match	H-index	Scholar power
🎓 Felicity Callard	1%	35	1.8%

Formula for scholar power: 3 × author's field match × √author's h-index

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Relevance

Recency

Reposts

Scholar power

49.0%

19.4 h

1

1.8%

Ranking score

0.005

Formula for ranking score (post): scholar_power × max((total_reposts)^(1/3), 1) × (1 / max(hours_since_posted, 1)) × (raw_relevance)^3

View post

Reposted by Olúfẹ́mi Táíwò

2%

Scholar power: 2%

Story's scientific field profile

Economics 50%, Business 39%, Energy 11%

Name	Field match	H-index	Scholar power
🎓 Olúfẹ́mi Táíwò	-	18	-

Gabe Small

@gabesmall.bsky.social

Heat pumps are quietly one of the most sci fi pieces of tech on the market

Part of an efficiency revolution that should get so much more attention, but the entire tech sector is mesmerized by AI

February 10, 2026 at 12:52 PM

by Elisa Freschi

4%

Scholar power: 4%

Story's scientific field profile

Economics 50%, Business 39%, Energy 11%

Name	Field match	H-index	Scholar power
🎓 Elisa Freschi	-	7	-

elisa freschi

@elisafreschi.bsky.social

In universities, some colleagues use AI for emails etc. (time saved), but we all spend much more time rethinking assignments, checking for use of AI, having in-person invigilators etc. (tons of time lost)

Carl Quintanilla @carlquintanilla.bsky.social · 22h

HARVARD BUSINESS REVIEW: “.. In our in-progress research, we discovered that AI tools didn’t reduce work, they consistently intensified it.”

hbr.org/2026/02/ai-d...

February 10, 2026 at 2:29 PM

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AI threatens young, administrative workers

Scholar power: 34.4%

Scholar power: 206.2%

Scholar power: 89.1%

Scholar power: 34.6%

Scholar power: 52.3%

Scholar power: 89.1%

Scholar power: 29.7%

Scholar power: 52.3%

Scholar power: 23.9%

Scholar power: 7.3%

Scholar power: 1.8%

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Scholar power: 2%

Scholar power: 4%

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