Digitale Arbeitswelt – Chancen und Herausforderungen für Beschäftigte und Arbeitsmarkt
Der digitale Wandel der Arbeitswelt gilt als eine der großen Herausforderungen für Wirtschaft und Gesellschaft. Wie arbeiten wir in Zukunft? Welche Auswirkungen hat die Digitalisierung und die Nutzung Künstlicher Intelligenz auf Beschäftigung und Arbeitsmarkt? Welche Qualifikationen werden künftig benötigt? Wie verändern sich Tätigkeiten und Berufe? Welche arbeits- und sozialrechtlichen Konsequenzen ergeben sich daraus?
Dieses Themendossier dokumentiert Forschungsergebnisse zum Thema in den verschiedenen Wirtschaftsbereichen und Regionen.
Im Filter „Autorenschaft“ können Sie auf IAB-(Mit-)Autorenschaft eingrenzen.
- Gesamtbetrachtungen/Positionen
- Arbeitsformen, Arbeitszeit und Gesundheit
- Qualifikationsanforderungen und Berufe
- Arbeitsplatz- und Beschäftigungseffekte
- Wirtschaftsbereiche
- Arbeits- und sozialrechtliche Aspekte / digitale soziale Sicherung
- Deutschland
- Andere Länder/ internationaler Vergleich
- Besondere Personengruppen
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Literaturhinweis
Digitalisierung und Wandel der Beschäftigung (DiWaBe 2.0): Eine Datengrundlage für die Erforschung von Künstlicher Intelligenz und anderer Technologien in der Arbeitswelt (2025)
Arntz, Melanie ; Baum, Myriam; Wischniewski, Sascha ; Matthes, Britta ; Meyer, Sophie-Charlotte; Hartwig, Matthias; Schlenker, Oliver; Dorau, Ralf; Brüll, Eduard ; Lehmer, Florian ; Tisch, Anita ;Zitatform
Arntz, Melanie, Myriam Baum, Eduard Brüll, Ralf Dorau, Matthias Hartwig, Florian Lehmer, Britta Matthes, Sophie-Charlotte Meyer, Oliver Schlenker, Anita Tisch & Sascha Wischniewski (2025): Digitalisierung und Wandel der Beschäftigung (DiWaBe 2.0): Eine Datengrundlage für die Erforschung von Künstlicher Intelligenz und anderer Technologien in der Arbeitswelt. (baua: Bericht), Dortmund, 48 S. DOI:10.21934/baua:bericht20250225
Abstract
"In Deutschland nutzt bereits mehr als die Hälfte der Beschäftigten Künstliche Intelligenz (KI) am Arbeitsplatz - überwiegend jedoch informell. Dies deutet darauf hin, dass viele Beschäftigte KI als hilfreiche Unterstützung wahrnehmen, zugleich aber die formelle Einführung seitens der Betriebe den Erwartungen der Beschäftigten hinterherhinkt. Der vorliegende Bericht präsentiert die Ergebnisse der DiWaBe 2.0-Befragung, einer repräsentativen Querschnittserhebung von rund 9.800 sozialversicherungspflichtig Beschäftigten in Deutschland, die im Jahr 2024 durchgeführt wurde. Ziel der Befragung ist es, eine Datengrundlage zu schaffen, um die Auswirkungen des technologischen Wandels - und insbesondere von KI - auf die Arbeitswelt abzuschätzen. Im Fokus stehen dabei vor allem Veränderungen von Tätigkeiten und Anforderungen am Arbeitsplatz, Arbeitsbedingungen und -organisation, Weiterbildungsaktivitäten sowie die Gesundheit der Beschäftigten. Die Ergebnisse zeigen, dass die Nutzung von KI stark von individuellen und beruflichen Faktoren wie Berufssegment, Bildung, Alter und Geschlecht abhängt. So nutzt nur knapp ein Drittel der Beschäftigten ohne Bildungsabschluss KI, während dieser Anteil bei Beschäftigten mit Hochschul-, Meister-oder Technikerabschluss fast 80 % beträgt. Erste multivariate Analysen zeigen, dass Beschäftigte, die ihre KI-Nutzung in den letzten fünf Jahren intensiviert haben, von komplexeren Tätigkeitsanforderungen berichten, insbesondere in den Bereichen Schreiben, Programmierung und Mathematik. Zudem ist eine intensivierte KI-Nutzung mit einer höheren Arbeitsautonomie, aber auch mit einer höheren Arbeitsintensität verbunden. Es zeigt sich jedoch kein statistisch signifikanter Zusammenhang zwischen der Nutzung von KI und der Gesundheit der Beschäftigten. Zudem unterscheiden sich Beschäftigte mit KI-Nutzung nicht von Nichtnutzenden hinsichtlich ihrer Teilnahme an Weiterbildung." (Autorenreferat, IAB-Doku)
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Literaturhinweis
Good Jobs or Bad Jobs? Immigrant Workers in the Gig Economy (2025)
Zitatform
Liu, Cathy Yang & Rory Renzy (2025): Good Jobs or Bad Jobs? Immigrant Workers in the Gig Economy. In: International migration review, S. 1-25. DOI:10.1177/01979183241309585
Abstract
"New work arrangements enabled by online platforms, or gig work, saw substantive growth during the COVID-19 pandemic. Various estimates have suggested the wide participation of workers in the gig economy, with minority and immigrant workers well represented. The quality of work is a multi-dimensional concept that goes beyond earnings. One framework of good jobs and bad jobs centers on control over work schedule, content and duration, stability, safety, benefits and insurance, as well as career advancement opportunities. Using a newly released national survey focused on entrepreneurs and workers in the United States, we find that about 18.5 percent immigrant workers and 21.1 percent native-born workers participated in the gig economy as their primary or secondary job. In terms of job quality, immigrant gig workers work shorter hours and have significantly less fringe benefits than non-gig workers as well as U.S.-born gig workers, reflecting a double disadvantage. However, they tend to have higher entrepreneurial aspirations, suggesting the transient nature of gig arrangements and potential for career advancements. This paper provides a comprehensive analysis of the characteristics and implication of immigrants’ engagement with the gig economy and offers policy and theoretical discussions." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Inklusion - KI und die Arbeitswelt der Zukunft (2025)
Zitatform
Matthes, Britta (2025): Inklusion - KI und die Arbeitswelt der Zukunft. In: Die Berufliche Rehabilitation, Jg. 39, H. 1, S. 6-15., 2025-04-04.
Abstract
"Es ist absehbar, dass die rasanten technologischen Entwicklungen der letzten Jahre, insbesondere die enorme Steigerung der Rechenleistung und die Entwicklung selbstlernender algorithmischer Systeme, die heute allgemein als Künstliche Intelligenz (KI) bezeichnet werden, ihre Spuren auf dem Arbeitsmarkt hinterlassen werden. Welche das genau sein werden, können wir leider aber auch nicht sagen. Denn gerade in solch disruptiven Zeiten, wie wir sie derzeit erleben, wissen wir nicht, wie schnell und in welche Richtung sich bestehende Berufe verändern, welche Berufe verschwinden und welche neu entstehen werden. Zwar können Prognosen etwas darüber sagen, wie sich die Zahl der Berufseinsteiger*innen auf die verschiedenen Berufe und Qualifikationsniveaus verteilen würde, wenn sich die Entwicklung wie in der Vergangenheit fortsetzt. Allerdings scheinen die Potenziale, die sich aus dem Einsatz von KI ergeben, bekannte Zusammenhänge in Frage zu stellen. Hinzu kommt, dass diese Prognosemodelle sehr komplex sind, um daraus sinnvolle Schlussfolgerungen für den Einzelnen zu ziehen. So lässt sich die Frage, inwiefern KI und andere digtale Technolgien auch die Beschäftigungsmöglichkeiten für Menschen mit Behinderungen erweitern könnten, damit kaum beantworten." (Textauszug, IAB-Doku)
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Literaturhinweis
Structural Labour Market Change and Gender Inequality in Earnings (2025)
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Matysiak, Anna, Wojciech Hardy & Lucas van der Velde (2025): Structural Labour Market Change and Gender Inequality in Earnings. In: Work, Employment and Society, Jg. 39, H. 2, S. 426-448. DOI:10.1177/09500170241258953
Abstract
"Research from the US argues that women will benefit from a structural labor market change as the importance of social tasks increases and that of manual tasks declines. This article contributes to this discussion in three ways: (a) by extending the standard framework of task content of occupations in order to account for the gender perspective; (b) by developing measures of occupational task content tailored to the European context; and (c) by testing this argument in 13 European countries. Data are analyzed from the European Skills, Competences, Qualifications and Occupations database and the European Structure of Earnings Survey. The analysis demonstrates that relative to men the structural labor market change improves the earnings potential of women working in low- and middle-skilled occupations but not those in high-skilled occupations. Women are overrepresented in low-paid social tasks (e.g. care) and are paid less for analytical tasks than men." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Exploring the impact of AI on unemployment for people with disabilities: do educational attainment and governance matter? (2025)
Zitatform
Omri, Anis, Henda Omri & Hatem Afi (2025): Exploring the impact of AI on unemployment for people with disabilities: do educational attainment and governance matter? In: Frontiers in Public Health, Jg. 13. DOI:10.3389/fpubh.2025.1559101
Abstract
"The current study investigates the impact of artificial intelligence (AI) on unemployment among people with disabilities, focusing on the mediating role of education and the moderating effect of governance quality. Using panel data from 27 high-tech developed countries between 2006 and 2022, the findings reveal a nuanced relationship where AI initially increases unemployment among people with disabilities due to automation and skill mismatches. However, advanced education mitigates this effect, significantly improving employability by equipping individuals with market-relevant skills. Governance quality plays a critical role in this dynamic, amplifying AI’s positive impact on education while, paradoxically, intensifying its negative effects on unemployment when governance frameworks are weak or misaligned. These findings underscore the importance of robust governance structures and targeted educational initiatives to harness AI’s potential in fostering inclusive labor markets. Policymakers should align AI investments with governance reforms and education systems to ensure equitable employment opportunities for people with disabilities." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Digitale Teilhabe von Menschen mit einer geistigen Beeinträchtigung: Entwicklung einer Definition, eines Modells und eines Erhebungsinstruments (2024)
Zitatform
Albrecht, Joanna & Nadine Hüning (2024): Digitale Teilhabe von Menschen mit einer geistigen Beeinträchtigung. Entwicklung einer Definition, eines Modells und eines Erhebungsinstruments. Wiesbaden: Springer Fachmedien Wiesbaden, XXVIII, 526 S. DOI:10.1007/978-3-658-44380-1
Abstract
"In diesem Open-Access-Buch wird die Entwicklung einer Definition, eines Modells und eines Erhebungsinstruments Digitaler Teilhabe von Menschen mit geistiger Beeinträchtigung beschrieben. Eine geistige Behinderung wird als Konstrukt verstanden, das durch die ganzheitliche Wechselwirkung zwischen personenbezogenen Faktoren, Gesundheitsproblemen sowie umweltbezogenen Barrieren entsteht. Für die Identifikation der Hilfebedarfe zur Realisierung von Teilhabe ist die ganzheitliche Betrachtung von heterogenen Ursachen, Formen und Ausprägungen unverzichtbar. Der Anspruch auf Teilhabe ist gesetzlich verankert, jedoch führt die digitale Transformation zu neuen gesellschaftlichen Ungleichheiten, die sich als Digital Divide manifestieren. Trotz geringer und heterogener Datenlage zu Ungleichheiten bei Menschen mit (geistiger) Beeinträchtigung sind bereits Hinweise auf eine Digital Disability Divide zu erkennen. Um dieses Forschungsdesiderat aufzuarbeiten, bedarf es eines einheitlichen Begriffsverständnisses Digitaler Teilhabe. Auch müssen Einflussfaktoren eruiert werden, um Ansätze zur Förderung Digitaler Teilhabe zu entwickeln und darauf aufbauend ein Erhebungsinstrument zu entwickeln. Entsprechend verfolgt diese Forschungsarbeit die Entwicklung einer Definition,eines Modells und Erhebungsinstruments Digitaler Teilhabe von Menschen mit geistiger Beeinträchtigung in der Eingliederungshilfe. Die Autorinnen Joanna Albrecht und Nadine Hüning haben an der Fakultät für Gesundheitswissenschaften der Universität Bielefeld promoviert. ." (Verlagsangaben)
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Literaturhinweis
A Library in the Palm of Your Hand? A Randomized Reading Intervention with Low-Income Children (2024)
Anger, Silke ; Christoph, Bernhard ; Siedler, Thomas ; Galkiewicz, Agata; Margaryan, Shushanik ; Peter, Frauke ; Sandner, Malte ;Zitatform
Anger, Silke, Bernhard Christoph, Agata Galkiewicz, Shushanik Margaryan, Frauke Peter, Malte Sandner & Thomas Siedler (2024): A Library in the Palm of Your Hand? A Randomized Reading Intervention with Low-Income Children. (IZA discussion paper / Forschungsinstitut zur Zukunft der Arbeit 17322), Bonn, 61 S.
Abstract
"Reading skills are crucial for academic success and long-term educational attainment. However, children from disadvantaged backgrounds read less than their more privileged peers. This study assesses the impact of a randomized reading intervention conducted in Germany targeting 11–12-year-olds from low-income households. The intervention involved distributing e-book readers, which provided free access to a large digital library of age-appropriate books, directly to the children's homes. Our results show that the intervention led to increased reading engagement among the children, which in turn improved their academic performance, particularly in reading comprehension and math. Additionally, we observe positive effects on their socio-emotional well-being." (Author's abstract, IAB-Doku) ((en))
Ähnliche Treffer
auch erschienen als: Working Papers, 2024-018 -
Literaturhinweis
A Library in the Palm of Your Hand? A Randomized Reading Intervention with Low-Income Children (2024)
Anger, Silke ; Galkiewicz, Agata; Christoph, Bernhard ; Siedler, Thomas ; Sandner, Malte ; Peter, Frauke ; Margaryan, Shushanik ;Zitatform
Anger, Silke, Bernhard Christoph, Agata Galkiewicz, Shushanik Margaryan, Frauke Peter, Malte Sandner & Thomas Siedler (2024): A Library in the Palm of Your Hand? A Randomized Reading Intervention with Low-Income Children. (HCEO working paper / Human capital and economic opportunity global working group 2024,018), Chicago, 61 S.
Abstract
"Reading skills are crucial for academic success and long-term educational attainment. However, children from disadvantaged backgrounds read less than their more privileged peers. This study assesses the impact of a randomized reading intervention conducted in Germany targeting 11–12-year-olds from low-income households. The intervention involved distributing e-book readers, which provided free access to a large digital library of age-appropriate books, directly to the children's homes. Our results show that the intervention led to increased reading engagement among the children, which in turn improved their academic performance, particularly in reading comprehension and math. Additionally, we observe positive effects on their socio-emotional well-being." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Which Migrant Jobs are Linked with the Adoption of Novel Technologies, Robotization, and Digitalization? (2024)
Zitatform
Barišić, Antea, Mahdi Ghodsi & Robert Stehrer (2024): Which Migrant Jobs are Linked with the Adoption of Novel Technologies, Robotization, and Digitalization? (WIIW working paper 241), Wien, 66 S.
Abstract
"In recent decades, the development of novel technologies has intenzified due to globalization, prompting countries to enhance competitiveness through innovation. These technologies have significantly improved global welfare, particularly in sectors like healthcare, where they have facilitated tasks and boosted productivity, for example playing a crucial role in combating the COVID-19 pandemic. However, certain technologies, such as robots, can negatively impact employment by replacing workers and tasks. Additionally, the emergence of artificial intelligence as digital assets not only replaces specific tasks but also introduces complexities that may displace employees who are unable to adapt. While the existing literature extensively explores the heterogeneous effects of these technologies on labor markets, studies of their impact on migrant workers remain scarce. This paper presents pioneering evidence on the effects of various novel technologies on migrant employment in the European Union. The analysis covers 18 EU member states from 2005 to 2019 focusing on the impact of novel innovations, robot adoption, three types of digital assets, and total factor productivity, on migrant employment. The key findings reveal that innovations measured by the number of granted patents increase both the number and proportion of migrant workers relative to the overall workforce. While robots do replace jobs, their impact on native workers surpasses that of migrant workers, resulting in a higher share of migrant workers following robot adoption. Total factor productivity positively influences migrant workers, while the effects of digital assets are heterogeneous. Moreover, the impacts of these technologies on migrant workers vary significantly across different occupation types and educational levels." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Challenges for Inclusive Organizational Behavior (IOB) in Terms of Supporting the Employment of People with Disabilities by Enhancing Remote Working (2024)
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Bożena, Frączek (2024): Challenges for Inclusive Organizational Behavior (IOB) in Terms of Supporting the Employment of People with Disabilities by Enhancing Remote Working. In: Social indicators research, Jg. 171, H. 3, S. 1019-1041. DOI:10.1007/s11205-023-03290-8
Abstract
"People with disabilities are at a higher risk of loss of work, salary, independence, and thus economic self-sufficiency. The research focuses on the possibilities of implementing the inclusive organizational behavior (IOB) concept in terms of increasing employment of people with disabilities by increasing the scope of remote working for people from this group. The research concerns two aspects related to the challenges for IOB in this area: examining the factors on the side of the employee with special emphasis on features that are important from the perspective of performing remote work, and showing the significance and importance of IOB as an element for narrowing the disability employment gap (DEG) and increasing the inclusion of people with disabilities through their employment (including remote employment). The study uses a macroeconomic approach and was carried out on a macro scale using aggregated data for European Union countries. The regression analysis method (multiple linear regression) was used in the research. The results of the research confirmed the different predictors (in the group of examined factors) of the employment rate in groups of persons with and without a disability. In the first stage of the research, significant predictor was found for the employment rate among the group of factors on the side of the employee that influence the remote work of people with a disability—this was the basic or above basic overall digital skills. However, in the group of people without a disability the predictor was found to be the level of education. Expanding the set of previous factors to the disability employment gap in the second stage of the research changed the significant predictor of the employment rate in the group of people with a disability, but did not change the predictor in the group of people without a disability. In the second stage, the significant predictor of the employment rate proved to be the disability employment gap (among others influenced by inclusive organizational behavior) in the case of people with a disability, and—similarly to the first stage – level of education in the case of people without a disability." (Author's abstract, IAB-Doku, © Springer-Verlag) ((en))
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Literaturhinweis
Too old for modern work? An explicit and implicit measure of the modern-work-is-young stereotype (2024)
Zitatform
Drazic, Ivana & Carsten C. Schermuly (2024): Too old for modern work? An explicit and implicit measure of the modern-work-is-young stereotype. In: German Journal of Human Resource Management, Jg. 38, H. 1, S. 59-89. DOI:10.1177/23970022231195061
Abstract
"With organizational practices such as working from home, agile project management, and shared leadership, the world of work is becoming increasingly dynamic and flexible. Simultaneously, the workforce in most industrialized nations is getting older. We hypothesized that both an explicit and implicit stereotype exists that associates modern work practices (MWP) more strongly with younger workers than with older workers (i.e. modern-work-is-young stereotype). With a focus on other-stereotyping, we surveyed participants who identified as younger or middle-aged workers (N = 186). Based on the contact hypothesis, we assumed that contact to older coworkers and contact with MWP are negatively related to both explicit and implicit endorsement of the modern-work-is-young stereotype. Furthermore, we examined differences in résumé evaluations for a job involving MWP, presenting an older and a younger hypothetical applicant. The results indicate the existence of a moderate explicit as well as implicit modern-work-is-young stereotype. The proposed contact hypothesis held true for the explicit but not for the implicit modern-work-is-young stereotype. Lastly, the younger applicant received significantly more positive evaluations than the older applicant, and only the explicit modern-work-is-young stereotype predicted the extent of age discrimination. The results suggest that the explicit modern-work-is-young stereotype can harm older employees and hamper intergenerational collaboration. These findings are especially important in times of demographic change, when workforces are becoming increasingly age-heterogeneous and retaining older workers seems more important than ever." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Does robotization improve the skill structure? The role of job displacement and structural transformation (2024)
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Hu, Shengming, Kai Lin, Bei Liu & Hui Wang (2024): Does robotization improve the skill structure? The role of job displacement and structural transformation. In: Applied Economics, Jg. 56, H. 28, S. 3415-3430. DOI:10.1080/00036846.2023.2206623
Abstract
"The literature generally focuses on the impact of robots or artificial intelligence on the employment and wages, but ignores the effect of robotization on the skill structure and its underlying mechanisms and lacks empirical evidence from developing countries. We theoretically develop a task model by introducing the skill structure and empirically investigate the effect of robotization on the skill structure based on Chinese provincial panel data from 2006 to 2018. Results show that: (1) the development of robotization in China is conducive to improving the skill structure, and the baseline conclusion still holds even though adopting multiple indexes of skill structure and controlling the endogeneity bias. (2) Robotization generates not only job displacement effect by displacing unskilled workers with robots but also structural transformation effect by increasing the proportion of technology-intensive industries, which can improve the skill structure. (3) In coastal provinces with strong Internet foundation, information transmission capacity and labour protection intensity, high labour cost and ageing rate, robotization plays a stronger role in improving the skill structure. Moreover, robotization can induce the employment polarization. These conclusions can help avoid technical unemployment and promote the upgrading of the skill structure in China." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Flexibility potentials of digital work communication – mothers’ labour market involvement in comparative perspective (2024)
Zitatform
Lükemann, Laura (2024): Flexibility potentials of digital work communication – mothers’ labour market involvement in comparative perspective. In: Community, work & family, Jg. 27, H. 5, S. 627-648. DOI:10.1080/13668803.2024.2418560
Abstract
"Digital work communication offers increased flexibility in timing and location, helping employees, particularly mothers, balance work and private life. This flexibility can enhance mothers' ability to increase their contracted hours in paid employment, especially given the impact of childbirth on their careers. Drawing on boundary management theory, this study posits that digital communication with supervisors enables mothers to better manage work tasks alongside personal obligations, potentially allowing them to work longer hours. However, the actual use of this flexibility is influenced by a country's level of de-familialisation, which refers to family policies that reduce care dependency. Analyzing data from the European Social Survey involving 3,179 mothers across 25 countries, the study found that mothers generally worked longer hours when they utilized digital communication more frequently. Comparisons across countries showed that this relationship was stronger in nations with robust de-familialisation policies. The findings suggest that the potential of digital work communication to enhance work involvement is particularly leveraged in countries that promote de-familialisation, allowing mothers to navigate their professional and personal responsibilities more effectively." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Skill Supply, Technology Diffusion and the Labor Market (2024)
Zitatform
Stepanok, Ignat & Mewael F. Tesfaselassie (2024): Skill Supply, Technology Diffusion and the Labor Market. In: German Economic Review, Jg. 25, H. 2, S. 101-125., 2024-05-28. DOI:10.1515/ger-2023-0098
Abstract
"We analyze the short and long-run effects of an increase in the skill supply on skill-specific wages and unemployment in a model with endogenous, nonlinear diffusion of a general purpose technology (GPT) and labor market frictions. We calibrate and simulate the model using the trend rise in relative skill supply in the U.S. over two decades starting in the early 1970s. The transitional dynamics of the model show (i) an initial slump and long-run rise in the relative wage of high-skill labor and (ii) a long-run rise in the relative level of unemployment of low-skill versus high-skill labor. An increase in the number of skilled individuals reduces hiring costs and increases the incentive for firms to engage in the costly adoption of a new GPT. Stronger labor market rigidity and higher worker bargaining power are shown to have similar effects on relative wages and unemployment: changes in relative wages are more pronounced, whereas the response of relative unemployment is muted. The exact opposite effects are found in the case of a higher degree of substitution between products." (Author's abstract, IAB-Doku; © De Gruyter) ((en))
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Literaturhinweis
Robots and Workers: Evidence from the Netherlands (2023)
Zitatform
Acemoglu, Daron, Hans R. A. Koster & Ceren Ozgen (2023): Robots and Workers: Evidence from the Netherlands. (NBER working paper / National Bureau of Economic Research 31009), Cambridge, Mass, 60 S.
Abstract
"We estimate the effects of robot adoption on firm-level and worker-level outcomes in the Netherlands using a large employer-employee panel dataset spanning 2009-2020. Our firm-level results confirm previous findings, with positive effects on value added and hours worked for robot-adopting firms and negative outcomes on competitors in the same industry. Our worker-level results show that directly-affected workers (e.g., blue-collar workers performing routine or replaceable tasks) face lower earnings and employment rates, while other workers indirectly gain from robot adoption. We also find that the negative effects from competitors' robot adoption load on directly-affected workers, while other workers benefit from this industry-level robot adoption. Overall, our results highlight the uneven effects of automation on the workforce." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Mit KI zu mehr Teilhabe in der Arbeitswelt : Potenziale, Einsatzmöglichkeiten und Herausforderungen: Whitepaper aus der Plattform Lernende Systeme, München (2023)
Adolph, Lars; André, Elisabeth; Reißner, Nadine; Steil, Jochen; Bullinger-Hoffmann, Angelika; Wülfing, Jan-Oliver; Peissner, Matthias; Fabian, Jan-Hennig; Neuburger, Rahild; Stich, Andrea; Hühnert, Tim; Palige, Selina; Huchler, Norbert ; Deml, Barbara; Heister, Michael; Werne, Jochen; Heesen, Jessica;Zitatform
Adolph, Lars, Elisabeth André, Angelika Bullinger-Hoffmann, Barbara Deml, Jan-Hennig Fabian, Jessica Heesen, Michael Heister, Norbert Huchler, Tim Hühnert, Rahild Neuburger, Matthias Peissner, Nadine Reißner, Jochen Steil, Andrea Stich & Jochen Werne (2023): Mit KI zu mehr Teilhabe in der Arbeitswelt : Potenziale, Einsatzmöglichkeiten und Herausforderungen. Whitepaper aus der Plattform Lernende Systeme, München. München, 39 S. DOI:10.48669/pls_2023-4
Abstract
"Künstliche Intelligenz wird am Arbeitsplatz immer wichtiger: Sie kann unsere Arbeitswelt und viele Lebensbereiche verbessern und erleichtern. Auch Teilhabe und Chancengleichheit können mit KI gefördert werden – insbesondere in der Arbeitswelt. KI-Technologien können Menschen mit körperlichen, geistigen oder psychischen Beeinträchtigungen auf vielfältige Weise unterstützen, um diese – ganz individuell und auf deren Bedürfnisse hin zugeschnitten – zu neuen Arbeitstätigkeiten zu befähigen oder ihre Teilhabe am Arbeitsleben zu erleichtern. Das Whitepaper gibt einen Überblick, welchen Beitrag KI zur Teilhabe in eine inklusive Arbeitswelt leisten kann, und zeigt anhand konkreter Anwendungsfälle aus der Praxis auf, welche Potenziale und Einsatzmöglichkeiten sich für die kollaborative Zusammenarbeit eröffnen, aber auch welche Herausforderungen entstehen können." (Autorenreferat, IAB-Doku)
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Literaturhinweis
Automation, digitalization and decarbonization in the European automotive industry: a roadmap towards a just transition (2023)
Zitatform
Cetrulo, Armanda, Giovanni Dosi, Angelo Moro, Linnea Nelli & Maria Enrica Virgillito (2023): Automation, digitalization and decarbonization in the European automotive industry: a roadmap towards a just transition. (LEM working paper series / Laboratory of Economics and Management 2023,36), Pisa, 30 S.
Abstract
"This position paper outlines the characteristics of the trends at stake in affecting the twin transition in the European automotive industry, and the political economy of the actors behind such transition. We first describe the automation and digitalization processes in the automotive sector and their effects on employment. Possible scenarios are analysed, illustrating actual cases of electrification conversion of some European plants of the key OEMs companies as practical examples to understand the employment effects. We then consider the role of the regulatory push in fostering the transition of the automotive sector towards electrification, highlighting the non-neutrality of the process and the risk of a quite limited space for decarbonization. Finally, we discuss the space and capacity of trade unions' actions to orient the twin transition toward social and climate justice." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Robots and Female Employment in German Manufacturing (2023)
Zitatform
Deng, Liuchun, Steffen Müller, Verena Plümpe & Jens Stegmaier (2023): Robots and Female Employment in German Manufacturing. In: AEA papers and proceedings H. May, S. 224-228., 2023-02-01. DOI:10.1257/pandp.20231040
Abstract
"We analyze the impact of robot adoption on female employment. Our analysis is based on novel micro data on robot use by German manufacturing establishments linked with social security records. An event study analysis for robot adoption shows increased churning among female workers. Whereas hiring rises significantly at robot adoption, separations increase with a smaller magnitude one year later. Overall, employment effects are modestly positive and strongest for medium-qualified women. We find no adverse employment effects for female workers in any of our broad qualification groups." (Author's abstract, IAB-Doku) ((en))
Weiterführende Informationen
Online Appendix -
Literaturhinweis
Migration and Migrant Labour in the Gig Economy: An Intervention (2023)
Zitatform
Doorn, Niels van, Fabian Ferrari & Mark Graham (2023): Migration and Migrant Labour in the Gig Economy: An Intervention. In: Work, Employment and Society, Jg. 37, H. 4, S. 1099-1111. DOI:10.1177/09500170221096581
Abstract
"In urban gig economies around the world, platform labour is predominantly migrant labour, yet research on the intersection of the gig economy and labour migration remains scant. Our experience with two action research projects, spanning six cities on four continents, has taught us how platform work impacts the structural vulnerability of migrant workers. This leads us to two claims that should recalibrate the gig economy research agenda. First, we argue that platform labour simultaneously degrades working conditions while offering migrants much-needed opportunities to improve their livelihoods. Second, we contend that the reclassification of gig workers as employees is by itself not sufficient to counter the precarisation of migrant gig work. Instead, we need ambitious policies at the intersection of immigration, social welfare, and employment regulation that push back against the digitally mediated commodification of migrant labour worldwide." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
The puzzle of changes in employment and wages in routine task-intensive occupations (2023)
Zitatform
Ghosh, Pallab & Zexuan Liu (2023): The puzzle of changes in employment and wages in routine task-intensive occupations. In: Empirical economics, Jg. 65, H. 4, S. 1965-1980. DOI:10.1007/s00181-023-02394-x
Abstract
"Autor and Dorn (Am Econ Rev 103(5):1553–1597, 2013) provide an explanation of the polarization of US employment and wages for the period 1980–2005. Using the 1980 Census and 2005 American Community Survey data, this study replicates the estimation results of Autor and Dorn (2013) for employment polarization in all major occupation groups and qualitatively matches the wage polarization results. Also, we investigate the puzzle of why employment and wages changed in opposite directions only in clerical and administrative support occupations in 1980–2005." (Author's abstract, IAB-Doku, © Springer-Verlag) ((en))
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- Gesamtbetrachtungen/Positionen
- Arbeitsformen, Arbeitszeit und Gesundheit
- Qualifikationsanforderungen und Berufe
- Arbeitsplatz- und Beschäftigungseffekte
- Wirtschaftsbereiche
- Arbeits- und sozialrechtliche Aspekte / digitale soziale Sicherung
- Deutschland
- Andere Länder/ internationaler Vergleich
- Besondere Personengruppen