Project description
Wider impacts of AI and robotics through occupational networks
Existing research on AI, robotics and other automation technologies has mainly examined how they substitute for or complement workers and tasks within individual occupations. With the support of the Marie Skłodowska-Curie Actions programme, the AUTON project moves beyond this occupation-by-occupation perspective by analysing how technological shocks spread across interconnected occupations, generating both direct and broader systemic effects. The project will construct a novel occupational network using detailed task-level information and integrate it with data on automation technologies and linked employer–employee microdata. This framework will make it possible to measure how the growing adoption of AI and robotics propagates across the occupational network and reshapes the wider structure of work.
Objective
While most research has analysed automation as a within-occupation substitution process, little is known about how technological shocks diffuse through networks of interdependent tasks and occupations. AUTON proposes a novel framework that integrates task-level data, automation technologies, and employer–employee microdata to quantify both direct and systemic effects of robotics and AI adoption.
The first contribution is the construction of a task-based occupational input–output network, using O*NET and Large Language Models (LLMs) to capture productive interdependencies between occupations at an unprecedented level of detail. The second contribution is the identification of tasks that can be automated within the occupational input–output network, to analyse how automation alters the input–output relationships between occupations that depend on those tasks. The third contribution is an occupational model that embeds these shocks into a general equilibrium setting, disciplined with linked employer–employee data from Australia, allowing us to trace equilibrium feedbacks on wages, employment, and occupational mobility.
By combining micro-level task structures with macroeconomic modelling, the project moves beyond aggregate measures of automation risk, offering a systemic perspective on technological diffusion. The expected outcomes include new empirical measures of automation spillovers, simulation-based evidence on systemic vulnerabilities, and a calibrated model suitable for counterfactual policy analysis. This framework will provide both academic and policy communities with novel tools to evaluate how automation affects the resilience of labour markets and the distribution of work.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences economics and business business and management employment
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-GF - HORIZON TMA MSCA Postdoctoral Fellowships - Global Fellowships
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2025-PF
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
09124 Cagliari
Italy
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.