Automation probability within the German real estate industry due to digitalization: A calculation of the size of the job killer aspect of digitalization gilded with an optimistic outlook due to the job engine aspect

Daniel Piazolo

ERES from European Real Estate Society (ERES)

Abstract: Through a combination of various sources about employment data, insights about the probability of the risk of automation of real estate jobs within Germany can be derived. Sources are: 1.) BerufeNET data base of the German federal employment agency (Bundesagentur für Arbeit), 2.) JobFutoromat database with the estimation of automation probabilities of across-the-board occupations, 3.) Lists with the number of employees subject to social insurance on an occupation group level. Consequently, a weighted average of the automation probability of jobs within each occupational group and within the overall real estate sector of Germany can be derived. Thus the negative side of digitalization will be quantified (i.e. the job killer aspect). Since Germany is the largest economy within the European Union, some of the insights can be transferred to the European level. The paper also discusses, that the novel possibilities through the use of digital tools like artificial intelligence will create new employment possibilities within the various real estate areas. The challenges are addressed how to localize and to quantify the specific positive effect of digitalization (i.e. the job engine).

Keywords: Automation; Digital Transformation; Disruption; Emplyoment; Structural Change (search for similar items in EconPapers)
JEL-codes: R3 (search for similar items in EconPapers)
Date: 2019-01-01
New Economics Papers: this item is included in nep-big, nep-ict and nep-pay
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