David Almog
@davidalmog25
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I am in the 2025-2026 academic job market • Managerial Economics and Strategy Ph.D. student @KelloggSchool • Behavioral/Experimental • AI-Human interactions
Joined October 2009
The best part of my 9 hour flight back from Copenhagen was watching the lady in front of me playing over 200 games of tic tac toe. A thread with some thoughts from a behavioral economist.
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@emollick Unlocking the real potential of AI at work means leaders fostering a culture where smart tech use is valued, not second-guessed. Performance and trust should go hand in hand. #AIAdoption
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I’m on the job market this year, and this is my JMP studying how workers’ image concerns can significantly reduce AI adoption. Really appreciate you sharing it, @emollick!
Here's how you get Secret Cyborgs: Cool experiment shows when workers know their AI use is seen by HR, they use it less, even though it significantly hurts their performance. Workers are willing to be wrong just to signal judgement. A challenge for leaders who want AI adoption.
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Here's how you get Secret Cyborgs: Cool experiment shows when workers know their AI use is seen by HR, they use it less, even though it significantly hurts their performance. Workers are willing to be wrong just to signal judgement. A challenge for leaders who want AI adoption.
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Kellogg School of Management PhD Candidate Sanjana Ghosh’s research interests are Environmental and Energy Economics, Development Economics, Industrial Organization. Learn more about @sanjana_gh1 & other Northwestern Job Market Candidates at https://t.co/J1fbMltP97
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Excited to be on the job market! This paper is part of my broader agenda to understand AI adoption through a behavioral economics lens. Thanks to Alex for the guidance and support!
My student David Almog (@davidalmog25) is on the job market. His JMP identifies important barrier to AI adoption: Image concerns. In a clever field study, workers are less likely to adopt/follow *useful* AI recs if they know AI reliance will known to managers (links in reply).
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I don't know if it's treatment or selection, but @alexolegimas is turning out PhD students doing fantastic work at the intersection of economics & AI - super impressive
My student David Almog (@davidalmog25) is on the job market. His JMP identifies important barrier to AI adoption: Image concerns. In a clever field study, workers are less likely to adopt/follow *useful* AI recs if they know AI reliance will known to managers (links in reply).
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My student David Almog (@davidalmog25) is on the job market. His JMP identifies important barrier to AI adoption: Image concerns. In a clever field study, workers are less likely to adopt/follow *useful* AI recs if they know AI reliance will known to managers (links in reply).
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This job market season I’m prioritizing positions where I can be called Baron or Lord.
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The attention to detail from Refine is crazy. It caught that one of my tables was reporting the standard error instead of the standard deviation, just by analyzing a boolean variable and inferring the distribution from the mean. This comment blew my mind. Kudos to @ben_golub.
I am super excited to share a new AI tool, Refine. Refine thoroughly studies research papers like a referee and finds issues with correctness, clarity, and consistency. In my own papers, it regularly catches problems that my coauthors and I missed. 1/
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Big shoutout to @okuchap who had the time of his life with the second-year Econ history paper lol
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I always celebrated that at Kellogg we didn’t have to write the second-year Econ history paper like our Econ counterparts. Little did I know I was skipping my chance to have a paper reviewed by the newest Nobel.
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I’m on the academic job market this year and will be at the ESA in Tucson! If you’d like to talk research or just connect, I’d love to hear from you.
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Does human task performance decrease when teammates are machines, and why? In the July issue, by Fabrizio Dell'Acqua, Bruce Kogut, (@brucekogut), Patryk Perkowski, (@patrykkyrtap)
direct.mit.edu
Abstract. This article studies the effects of the introduction of artificial intelligence (AI) into teams in a laboratory experiment. We randomly assign automated co-workers into “laboratory firms”...
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Peer perceptions of clinicians using generative #AI in #medical decision-making | @npjDigitalMed
https://t.co/7NjVj1KUeZ
#MedTwitter #AImedicine #AI #HealthAI #AIinHealthcare #MedTech
nature.com
npj Digital Medicine - Peer perceptions of clinicians using generative AI in medical decision-making
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When the CAPTCHA is more likely to stop humans than bots…. (Translation: Please select the shape with the least holes)
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These guys working on super cool stuff!
🚨 Excited to release a new working paper: “Measuring Markets for Network Goods” 🚨
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Heterogeneity The observed treatment effects are primarly driven by minority groups. Full paper here: https://t.co/iOEbFrp8xO
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Results Participants in the treatment group: -Followed 10% fewer AI recommendations. -Performed 3.3% worse on the task. -Reported higher levels of discomfort about joining the video call.
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Treatment variation In a between-subjects design, participants randomly assigned to the treatment group were informed that their video call would include a brief review of their AI usage and a comparison to the average behavior of other participants.
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