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The effects of artificial intelligence on firm and labour market outcomes

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https://docs.google.com/document/d/1QTGKfWYaWv5U-Vgh6NkoFSofbIVz5hBEvVjrTEy4eXs/edit?tab=t.0#heading=h.b06a0z3rf3uz⁠

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https://www.wider.unu.edu/opportunity/effects-artificial-intelligence-firm-and-labour-market-outcomes⁠

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I have no job and am a researcher. Though it is focused on quantitative research and mine was qualitive. There seems to be 2 options:

A scoping study of 10 000 and

A study of 200 000 This means that it does not have to be 1 person doing the research but can be a team. So we could easily put a proposal together for this UN project. It does seem to want a proper institute so the Active Inference Institute could be a possible?

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If Daniel is interested, we could talk about the Institute. And also, having a "Scientific Advisor" title now, I could also reasonably represent my/our relationship to the Institute either way.

We will want to thoroughly scope this out, likely having some shared information base so that we can reasonably collaborate. I am happy to contribute, and that said have had many scenarios where people have great ideas but poor ways of collaborating such that things stay in the "initial steps" phase for long periods of time without actionable next steps. Just want to be transparent about this and my "boundaries" as it were upfront. I have sincere interest in these topics; during my Master's I wrote on adjacent topics; and I believe I do represent an "early career professional" as well.

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https://wol.iza.org/articles/artificial-intelligence-and-labor-market-outcomes/long⁠

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https://www.nature.com/articles/s41599-024-03557-6⁠

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Potential collaboration shared spaces:

- Google Drive folder shared between us

- CODA

- Notion

...

Potential sources of information to aid/guide project:

- Many studies done on both analyzing current data and predicting future outcomes abound. AI is catching on more in the public sphere, yet researchers in smaller spaces have been doing this for years (decades?) now. There are many things to pull from, some of which might be built upon or updated.

- Patent data is widely available and very interesting to look at. Can be cross-referenced with employment statistics.

- Focus on developing countries: Looking at information and research on supply chains, international labor and financial markets research, etc. will go a long way for making the connections, including for doing studies related to developing countries which themselves don't necessarily have accessible data to researchers. Using other research in a creative yet credible way can shed light on dynamics we have no direct proxies for due to realistic reasons, e.g., no technological infrsastructure or institutional imperatives for data collection and access in those countries.

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Site referenced on the proposals call site:

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https://www.wider.unu.edu/project/firm-and-labour-market-effects-ai-developing-countries⁠

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UNU-WIDER, with generous support from Schmidt Sciences’

AI at Work initiative⁠

, is organizing a portfolio of rigorous research into the effects of AI technologies on firms, labour markets and labour market outcomes—such as efficiency, employment, retention, productivity, and earnings—in LMIC contexts. This research will explore, for example, the potential of generative AI to: facilitate talent acquisition for firms, ease the transition of students from school to the workforce, and to improve business outcomes for small entrepreneurs and the self-employed in LMICs.

Key questions

Can AI tools, when used by firms for recruitment or jobseekers for finding employment, improve the overall match between employers and employees?

Can adoption of AI tools improve the pace at which employees, including informal or self-employed workers, acquire skills relevant for their work?

What are the impacts of use of AI on firms and workforce outcomes, for example with respect to productivity, sales growth, workforce size, labour force retention, formality, etc.?

Do we observe any negative effects from AI adoption, such as reductions in employment or increasing inequality if certain workers are displaced?

Application deadline:

"Submit your proposal through the Schmidt Sciences portal (see sidebar).

Deadline for submissions is 05:00 UTC 1 April—the portal closes at midnight on 31 March Eastern Daylight Time (New York)"

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