AI Survey France

Last registered on April 29, 2026

Pre-Trial

Trial Information

General Information

Title
AI Survey France
RCT ID
AEARCTR-0018498
Initial registration date
April 27, 2026

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
April 29, 2026, 4:21 PM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

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Primary Investigator

Affiliation
Collège de France

Other Primary Investigator(s)

PI Affiliation
Collège de France
PI Affiliation
HEC Paris
PI Affiliation
HEC Paris
PI Affiliation
Harvard University

Additional Trial Information

Status
On going
Start date
2026-04-02
End date
2026-04-30
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This study aims to analyze the link between the impact of AI on jobs, and a variety of outcomes, including beliefs about AI exposure, well-being, trust, and policy preferences.
External Link(s)

Registration Citation

Citation
Aghion, Philippe et al. 2026. "AI Survey France." AEA RCT Registry. April 29. https://doi.org/10.1257/rct.18498-1.0
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2026-04-02
Intervention End Date
2026-04-30

Primary Outcomes

Primary Outcomes (end points)
• Perceived impact of AI on own job (FS1): “Overall, do you consider AI to be more of a threat
or an opportunity for your job?”
• Relative exposure beliefs (FS2): “Compared to other jobs in France, how exposed do you
think your job is to AI?”
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
• Expectations about AI:
– Probability that AI transforms how tasks are performed (AI4a)
– Probability that AI replaces some job tasks (AI4b)
– Perceived effects of AI on employment and productivity in France (AI5b)
• Future adaptation intentions:
– Likelihood of training or skill investment (SK4)
– Likelihood of learning AI tools (SK4)
– Likelihood of job search (SK4)
• Policy preferences:
– Support for redistribution policies (PV1)
– Support for AI regulation (PV2)
– Support for social insurance and compensation for displaced workers (PV3)
• Economic anxiety and job insecurity:
– Probability of job loss, wage decline, or adverse job changes (EA3)
– Anxiety about future employment (EA4)
• Job satisfaction:
– Overall satisfaction with current (or last) job (SAT1)
• Workplace attitudes:
– Trust in management (TR2)
– Job autonomy (AUT1)
– Occupational identity (OI1)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Survey experiment
Experimental Design Details
Not available
Randomization Method
Qualtrics's built-in randomization.
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
approximately 5,000 individuals
Sample size: planned number of observations
approximately 5,000 individuals
Sample size (or number of clusters) by treatment arms
approximately 2,500 individuals in the control group and 2,500 individuals in the treatment group
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials

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IRB

Institutional Review Boards (IRBs)

IRB Name
Paris School of Economics
IRB Approval Date
2025-02-04
IRB Approval Number
2025-002