InArbeit

The Intelligent Labour Market? project aims to capture the changes in the labour market based on AI demand in occupations, sectors and regions and thus to investigate the employment effects of the AI transformation.

Description

As a future and key technology with far-reaching consequences for economic development, artificial intelligence (AI) is central to the future competitiveness of companies, industries and therefore also regions. AI will lead to far-reaching changes in the labour market, and these changes will vary greatly between professions, sectors and regions. On the one hand, activities are at risk of being replaced by AI (displacement effect), while on the other hand AI offers enormous growth potential in many sectors and regions (productivity effect). In order to investigate this AI transformation, international labour market research has so far focused primarily on the question of which activities in which occupations could be replaced by AI in the future. However, this substitutability potential does not make it possible to capture the actual changes on the labour market, such as changes in demand. The Intelligent Labour Market? project therefore aims to capture the changes in the labour market based on AI demand in occupations, sectors and regions and thus to investigate the employment effects of the AI transformation.

In order to capture AI demand on the labour market, a new data set is being created in the project based on online job advertisements. This goal is supported by Dr Gábor Kismihók (Data Scientist at LUH). In collaboration with Dr Anne Otto from IAB - the research institute of the Federal Employment Agency (BA) - the AI demand indicator will be developed and validated on the basis of the extensive online data. This indicator makes it possible to statistically model the relationship between AI and employment in order to better understand the effects of the AI transformation. In addition, the automotive industry in particular, as a key sector in Germany, is facing major upheavals as a result of the AI transformation. The AI demand indicator and other output-oriented indicators are therefore used for a case study on the AI transformation within the automotive industry in order to compare the automotive clusters in Lower Saxony, Baden-Württemberg and Bavaria.

In addition to the scientific investigation of the effects, the project also aims to make the AI demand indicator available to a broad public and to discuss its results with Lower Saxony's economic development agencies. To this end, a new web application, the AI Atlas, is being developed to make the indicator available to the public online. An AI skills report for Lower Saxony will also be compiled in order to summarise a more in-depth analysis of the AI transformation of the labour market for policymakers and regional stakeholders and also to record gender differences in the supply and demand of AI skills on the labour market.