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
New Technology, Older Workers: How Workplace Technology is Associated with Indicators of Job Retention (2026)
Zitatform
Abrams, Leah, Daniel Schneider & Kristen Harknett (2026): New Technology, Older Workers: How Workplace Technology is Associated with Indicators of Job Retention. In: Journal of Aging & Social Policy, Jg. 38, H. 4, S. 635-651. DOI:10.1080/08959420.2025.2523122
Abstract
"Middle-aged and older adults who are employed in precarious, high-strain jobs may face challenges to continued work, risking economic insecurity and poor wellbeing in retirement. Technology in the workplace, an under-studied aspect of work environments, could accommodate aging workers or could add stress to their jobs. This study examines how technology in sales and surveillance at work are related to job satisfaction and planned job exits among approximately 6,000 workers aged 50–69 employed in the low-wage service sector (e.g. retail, pharmacy, grocery, hardware, fast food, casual dining, delivery, and hotel). On-the-job surveillance was related to lower job satisfaction and higher reports of looking for a new job, especially when combined with sanctioning for slow speed of work. However, rewards for speed, and to a lesser extent the use of leaderboards, were associated with higher job satisfaction, demonstrating the potential of technology to enhance the work experience for older employees. The use of sales technologies was not associated with job satisfaction or intentions to look for a new job. These results provide a uniquely detailed portrait of prevailing labor market conditions for aging workers in the service sector and demonstrate how certain kinds of technology matter for older workers ’ employment." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Automation and Polarization (2026)
Zitatform
Acemoglu, Daron & Jonas Löbbing (2026): Automation and Polarization. In: Journal of Political Economy, Jg. 134, H. 3, S. 1017-1072. DOI:10.1086/739330
Abstract
"We develop an assignment model of automation. Each of a continuum of tasks of variable complexity is assigned to either capital or one of a continuum of labor skills. We characterize conditions for interiorautomation, whereby tasks of intermediate complexity are performed by capital. Interior automation arises when the most skilled workers have a comparative advantage in the most complex tasks relative to capital, and when the wages of the least skilled workers are sufficiently low relative to both their own productivity and the effective cost of capital in low-complexity tasks. Minimum wages and other sourcesof higher wages at the bottom make interior automation less likely. Starting with interior automation, a reduction in the cost of capital (or an increase in capital productivity) causes employment and wage polarization. Specifically, further automation pushes workers into tasks at the lower and upper ends ofthe task distribution. It also monotonically increases the skill premium above a threshold and reduces the skill premium below this threshold. Moreover, automation tends to reduce the real wage of Workers with comparative advantage profiles close to that of capital. We show that large enough increases in capital productivity ultimately induce a transition to low-skill automation and qualitatively alter the effects of automation—thereafter inducing monotone increases in skill premia rather than wage polarization." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Online platform work in the European Union: Implications for working conditions and access to information (2026)
Zitatform
Adăscăliței, Dragoș, Cesira Urzi-Brancati, Iveta Stefancova & Elin Brattlund (2026): Online platform work in the European Union: Implications for working conditions and access to information. (Eurofound research report / European Foundation for the Improvement of Living and Working Conditions), Luxembourg, 82 S. DOI:10.2806/0981358
Abstract
"This report analyses the working conditions and information needs of online platform workers based on a survey of 3 830 workers across 15 EU Member States. Unlike existing research focused on on-location platform work, this study examines workers who provide services entirely online. The findings reveal a workforce that is predominantly male, of prime working age and highly educated, primarily delivering skilled professional services rather than microtasks. The research also finds that algorithmic control practices are widespread, with more than 40 % of survey respondents being subject to intrusive control practices combining surveillance, gamification and restricted autonomy. Self-reported average annual earnings from online platform work of EUR 20 000 mask substantial variation by country and task type. Findings also indicate that online platform work can provide genuine labour market access for groups facing barriers in traditional employment, including homemakers, students and the unemployed. Workers generally demonstrate good knowledge of platform-specific information but exhibit significant gaps in knowledge of work-related rights, particularly social security contributions." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Who uses Generative AI? Patterns and inequalities across the EU: Employment and labour markets (2026)
Zitatform
Adăscăliței, Dragoș (2026): Who uses Generative AI? Patterns and inequalities across the EU. Employment and labour markets. (Eurofound working paper), Dublin, 19 S.
Abstract
"This paper describes generative AI use patterns across EU27 Member States in 2025, analysing crossnational variation and socio-demographic inequalities based on Eurostat aggregate data. Overall use of generative AI reaches 32.7% at the EU27 level, ranging from 17.8% in Romania to 48.4% in Denmark. Country patterns do not follow clear geographic clustering, with high and low adopters distributed across all European regions. Private use systematically exceeds professional use, whilst educational use remains concentrated among young populations. Educational attainment emerges as a strong predictor of AI use, with high-educated individuals using generative AI at more than double the rate of low-educated individuals. Age is also a strong predictor, with 63.8% of those aged 16-24 having used generative AI in the past three months compared to just 6.5% of those aged 65 and above. The gender gaps in AI use are moderate but widen with education. In terms of broad occupational groups, the analysis demonstrates that uptake is heavily skewed towards ICT professions. Labour force status also matters decisively, with students (72.0%) far exceeding employed (36.4%), unemployed (28.3%), and retired/inactive populations (12.9%) in technology usage. These patterns reveal stratified diffusion of generative AI use with implications for labour market inequalities across the EU." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Automation, Learning, and Career Dynamics (2026)
Zitatform
Afrouzi, Hassan, Andres Blanco, Andrés Drenik & Erik Hurst (2026): Automation, Learning, and Career Dynamics. (NBER working paper / National Bureau of Economic Research 35157), Cambridge, Mass, 58 S.
Abstract
"We study how an automating technology affects career dynamics, human capital, and welfare in an economy where workers acquire skill through the tasks they perform. In a continuous-time general equilibrium model, learning-by-doing is determined jointly with the share of tasks automated, the frontier of tasks managers maintain, and the worker-to-manager career transition. Economies with high learning capacity admit pairs of stationary equilibria strictly ranked by the aggregate learning rate. Cheaper technology has opposite effects across the two: in the high-learning equilibrium, it raises welfare through the learning channel itself; in the low-learning equilibrium, it tips the economy into a human-capital trap. The planner's first-best combines a tax on automation profits with a subsidy on frontier-maintenance expenditures at a common rate." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Enhancing Worker Productivity Without Automating Tasks: A Different Approach to AI and the Task-Based Model (2026)
Zitatform
Agrawal, Ajay K., John McHale & Alexander Oettl (2026): Enhancing Worker Productivity Without Automating Tasks: A Different Approach to AI and the Task-Based Model. (NBER working paper / National Bureau of Economic Research 34781), Cambridge, Mass, 44 S.
Abstract
"The task-based approach has become the dominant framework for studying the labor-market effects of artificial intelligence (AI), typically emphasizing the replacement of human workers by machines. Motivated by growing empirical evidence that contemporary AI is more often used as a tool that augments workers, this paper develops two related task-based models in which AI enhances worker productivity without automating tasks. Abstracting from capital, we develop a pair of related task-based models that examine how technological progress in AI that provides new tools to augment workers affects aggregate productivity and wage inequality. Both models emphasize the role of human capital in intermediating the effects of AI-related technological shocks. In the first model, AI use requires specialized expertise, and technological progress expands the set of tasks for which such expertise is effective. We show that a larger supply of AI expertise amplifies the productivity gains from improvements in AI technology while attenuating its adverse effects on wage inequality. The second model focuses on non-AI skills, allowing AI tools to alter the set of tasks that workers can perform given their skills. In equilibrium, workers allocate across tasks in response to wages, generating an endogenous distribution of skills across the task space. A central result is that aggregate productivity and wage inequality depend on different global properties of this equilibrium distribution: productivity is particularly sensitive to thinly staffed tasks that create bottlenecks, while wage inequality is driven by the concentration of workers in a narrow set of tasks. As a result, improvements in AI tools can induce non-monotonic co-movement between productivity and inequality. By linking these mechanisms to multidimensional human capital---including AI expertise and higher-order non-AI skills---the paper highlights the role of education and training policies in shaping the economic consequences of AI-driven technological change." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Do AI Expectations Reduce Unemployment in the United States? Evidence from an AI Attention Index (2026)
Akyildirim, Erdinc; Gozgor, Giray; Bekci, Suzan;Zitatform
Akyildirim, Erdinc, Suzan Bekci & Giray Gozgor (2026): Do AI Expectations Reduce Unemployment in the United States? Evidence from an AI Attention Index. (CESifo working paper 12653), München, 13 S.
Abstract
"This paper constructs an AI Attention Index from LexisNexis news coverage and embeds it within an augmented Phillips curve framework. It then examines the relationship between AI attention and unemployment in the United States using monthly data from January 2000 to December 2025. We find that greater AI attention is associated with lower unemployment. Nonlinear estimates reveal a U-shaped relationship, indicating diminishing marginal effects within the observed data range. The relationship weakens after the onset of COVID-19, with both linear and nonlinear effects reduced. These findings indicate that labour market effects of AI-related expectations are sensitive to macroeconomic regime shifts." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
AI adoption, productivity and employment: Evidence from European firms (2026)
Aldasoro, Iñaki; Gambacorta, Leonardo; Pal, Rozalia; Wolski, Marcin; Weiß, Christoph; Revoltella, Debora;Zitatform
Aldasoro, Iñaki, Leonardo Gambacorta, Rozalia Pal, Debora Revoltella, Christoph Weiß & Marcin Wolski (2026): AI adoption, productivity and employment: Evidence from European firms. (Economics - working papers / European Investment Bank 2026/02), Luxembourg, 32 S. DOI:10.2867/1772538
Abstract
"This paper provides new evidence on how the adoption of artificial intelligence (AI) affects productivity and employment in Europe. Using matched EIBIS-ORBIS data on more than 12,000 non-financial firms in the European Union (EU) and United States (US), we instrument the adoption of AI by EU firms by assigning the adoption rates of US peers to isolate exogenous technological exposure. Our results show that AI adoption increases the level of labor productivity by 4%. Productivity gains are due to capital deepening, as we find no adverse effects on firm-level employment. This suggests that AI increases worker output rather than replacing labor in the short run, though longer-term effects remain uncertain. However, productivity benefits of AI adoption are unevenly distributed and concentrate in medium and large firms. Moreover, AI-adopting firms are more innovative and their workers earn higher wages. Our analysis also highlights the critical role of complementary investments in software and data or workforce training to fully unlock the productivity gains of AI adoption." (Author's abstract, IAB-Doku) ((en))
Ähnliche Treffer
auch erschienen als: BIS Working Papers, 1325 -
Literaturhinweis
The effect of AI on labour demand: A critical assessment of 'Power and Progress' by Acemoglu and Johnson (2026)
Aldred, Jonathan;Zitatform
Aldred, Jonathan (2026): The effect of AI on labour demand: A critical assessment of 'Power and Progress' by Acemoglu and Johnson. In: Structural Change and Economic Dynamics, Jg. 78, S. 188-196. DOI:10.1016/j.strueco.2026.03.008
Abstract
"Task-based models of production have led to a theoretical reappraisal of the effect of new technology on labour demand. This paper critically assesses the policy implications of this research agenda, with particular reference to Acemoglu and Johnson’s recent book, Power and Progress. While Acemoglu and Johnson take welcome steps away from previous orthodoxy, their analysis has several flaws which affect the policy lessons to be drawn, including: (i) the explanation for anti-labour bias is unclear; (ii) worker-friendly technologies are not clearly characterised in theory, and hard to identify in practice; (iii) macroeconomic policy orthodoxy is largely unquestioned. More generally, much of Power and Progress remains unhelpfully constrained by theoretical commitments to mainstream economics." (Author's abstract, IAB-Doku, © 2026 The Author. Published by Elsevier B.V.) ((en))
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Literaturhinweis
The end of work feels near. How do people perceive the impact of digital technologies and automation? (2026)
Zitatform
Arntz, Melanie, Sebastian Blesse & Philipp Doerrenberg (2026): The end of work feels near. How do people perceive the impact of digital technologies and automation? In: Labour Economics, Jg. 102, 2026-05-11. DOI:10.1016/j.labeco.2026.102897
Abstract
"Anxieties about technological change in the context of the labor market are a recurring historical phenomenon. Using customized survey data collected in 2019 in the US and Germany, prior to the recent wave of generative AI applications, we study how respondents perceive the impact of the digital (automation) technologies available at the time of the survey on the labor market. We document that a majority views digital technologies and automation as a major threat to overall employment and as a cause of rising inequality, while a quarter is concerned about their own labor market prospects. Providing scientific information on the likely labor market implications of digital technologies in a randomized experiment reduces these concerns. Yet, treatment responses depend on prior beliefs about the future of work, resulting in heterogeneous and opposing treatment effects on policy demand." (Author's abstract, IAB-Doku, © 2026 Elsevier) ((en))
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Literaturhinweis
Artificial intelligence exposure and occupational wages: Evidence from the United States (2026)
Zitatform
Atalay, Ozan (2026): Artificial intelligence exposure and occupational wages: Evidence from the United States. In: Journal of Economic Studies, S. 1-15. DOI:10.1108/jes-03-2026-0281
Abstract
"Purpose: This paper investigates the relationship between occupational exposure to artificial intelligence (AI) and wage structures in the United States. While much of the literature focuses on the displacement effects of AI, less attention has been given to its implications for wage outcomes across occupations. Design/methodology/approach: The study uses occupation-level data for 671 occupations, combining wage information with an AI exposure index that captures the extent to which occupations are affected by AI technologies. Cross-sectional regression models with robust standard errors are employed, controlling for employment size and occupational characteristics. Quantile regression is also used to examine variation across the wage distribution. Findings: The results indicate a positive and statistically significant association between AI exposure and wages. Occupations with higher exposure tend to have higher wage levels. This pattern is consistent across model specifications and across the wage distribution. The findings are broadly consistent when using an instrumental variable approach. The association is stronger in occupations with higher cognitive skill intensity. Research limitations/implications: This study is based on occupation-level data rather than individual-level observations, which limits the ability to capture within-occupation wage heterogeneity. In addition, the AI exposure index reflects potential exposure rather than actual adoption at the firm level. Future research could extend this analysis using firm-level or longitudinal data. Practical implications: The findings suggest that occupations with higher exposure to artificial intelligence tend to exhibit higher wages, highlighting the importance of skill upgrading and targeted workforce policies. Policymakers and organizations should focus on enhancing digital skills and supporting workforce transition to maximize the benefits of AI. Social implications: The results indicate that artificial intelligence may contribute to wage differences across occupations by enhancing productivity in certain roles. This highlights the need to ensure equal access to skills and training opportunities so that the benefits of AI are distributed more evenly across the labor market. Originality/value: This study contributes by providing occupation-level evidence on the relationship between AI exposure and wages, shifting attention from employment effects to wage structures. It also highlights that this relationship is partly explained by occupational skill composition, while a residual association remains." (Author's abstract, IAB-Doku, © Emerald Group) ((en))
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Literaturhinweis
Technologischer Wandel und Löhne: Die Anpassung der Berufe spielt eine entscheidende Rolle (2026)
Zitatform
Bachmann, Ronald, Gökay Demir, Colin Green & Arne Uhlendorff (2026): Technologischer Wandel und Löhne: Die Anpassung der Berufe spielt eine entscheidende Rolle. (IAB-Kurzbericht 01/2026), Nürnberg, 8 S. DOI:10.48720/IAB.KB.2601
Abstract
"Technischer Fortschritt verändert die Arbeitswelt - besonders in Berufen, in denen viele Tätigkeiten leicht automatisiert werden können. In den letzten Jahrzehnten ist der Anteil an Routinetätigkeiten in vielen Berufen deutlich zurückgegangen - häufig zugunsten nicht routinemäßiger kognitiver Tätigkeiten wie Analysieren, Planen oder Beraten. Dabei verzeichnen Berufe, deren Tätigkeiten sich im Laufe der Zeit stärker an den technologischen Wandel angepasst haben, steigende Löhne. Sie zeichnen sich zudem durch intensivere Weiterbildungsaktivitäten aus. In Berufen, deren Tätigkeitsprofil sich kaum verändert hat, stagnieren die Löhne dagegen häufiger." (Autorenreferat, IAB-Doku)
Weiterführende Informationen
- Vollzeitbeschäftigte westdeutsche Männer in ursprünglich routinelastigen Berufen
- Veränderung von Tätigkeitsschwerpunkten durch technologischen Wandel
- Veränderung im Anteil der Routinetätigkeiten
- Veränderung im Anteil der Routinetätigkeiten im Vergleich zu nicht routinemäßigen (NR) kognitiven Tätigkeiten in exemplarisch ausgewählten, ursprünglich routinelastigen Berufsfeldern
- Anteil Beschäftigter in Weiterbildungskursen nach Tätigkeitsgruppen
- Relatives Lohnwachstum nach Tätigkeitsgruppen
- Vollzeitbeschäftigte westdeutsche Männer nach Tätigkeitsgruppen
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Literaturhinweis
How important are within‐occupation task changes for wage growth? Evidence from administrative micro data (2026)
Zitatform
Bachmann, Ronald, Gökay Demir, Colin Green & Arne Uhlendorff (2026): How important are within‐occupation task changes for wage growth? Evidence from administrative micro data. In: Economica, Jg. 93, H. 372, S. 1260-1299., 2026-05-19. DOI:10.1111/ecca.70054
Abstract
"We examine how changes in task content over time condition occupational wage development. Using survey data from Germany, we document substantial heterogeneity in within-occupation changes in task content. Combining this evidence with administrative data on individual employment outcomes over a 25-year period, we find important heterogeneity in wage penalties amongst jobs that were initially routine-task-intensive. While occupations that remain (relatively) routine-intensive generate substantial wage penalties, occupations with a decreasing routine intensity experience stable or even increasing wages. These findings suggest that changing task profiles of occupations is an important adaptation mechanism to technological change. They cannot be explained by composition or cohort effects." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Technological progress, occupational structure and gender gaps in the German labour market (2026)
Zitatform
Bachmann, Ronald & Myrielle Gonschor (2026): Technological progress, occupational structure and gender gaps in the German labour market. In: International Journal of Manpower, Jg. 47, H. 2, S. 403-422. DOI:10.1108/ijm-10-2024-0711
Abstract
"Purpose: This study examines whether advances in technology and shifts in the occupational structure have enhanced women's position within the labour market. It answers the following research questions: First, how has the occupational employment structure evolved over the last decades, and how is this related to gender gaps? Second, which factors explain the gender gap and its narrowing over time? Design/methodology/approach: We use individual-level panel data from the Socio-Economic Panel (SOEP) for West Germany over the period 1985–2017 and individual-level task data from the BIBB Employment survey. We use the task intensity of an occupation and the task group an occupation belongs to as proxies for technological change. To analyze explanatory factors, we use a Blinder-Oaxaca decomposition. Findings: Women are increasingly engaging in non-routine manual and interactive occupations. The concurrent narrowing of the gender wage gap is attributable to declining gender wage gaps within task groups rather than between them. Observable factors, such as education have grown in importance to the gender wage gap, whereas the importance of unexplained factors has strongly declined. Technological change plays no significant role in the evolution of the gender wage gap. By contrast, part-time employment exerts a substantial influence on the gender wage gap. Originality/value: Our analysis includes part-time and high-skilled workers frequently excluded from other studies. The use of individual-level data combined with task information for occupations facilitates the examination of long-run developments such as technological change both between and within task groups." (Author's abstract, IAB-Doku, © Emerald Group) ((en))
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Literaturhinweis
Does Automation Lower the Labor Share? (2026)
Zitatform
Barany, Zsofia, Aseem Patel & Christian Siegel (2026): Does Automation Lower the Labor Share? (CEPR discussion paper / Centre for Economic Policy Research 21700), London, 42 S.
Abstract
"A prominent explanation for declining labor shares is automation. We test this mechanism directly at the firm level, drawing on a central prediction of the task-based model of production: firms that automate more should see larger declines in routine employment and labor share. Using administrative data from France between 1994 and 2019, we find no support for this prediction. Changes in routine employment share are either uncorrelated or even negatively correlated with changes in labor share within firms. Our evidence shows that automation is not driving labor share dynamics in France." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Systematic literature review on the digital transformation of the personnel selection process (2026)
Zitatform
Baranyi, Virág (2026): Systematic literature review on the digital transformation of the personnel selection process. In: German Journal of Human Resource Management, Jg. 40, H. 2, S. 223-254. DOI:10.1177/23970022251363012
Abstract
"Digital Transformation technologies (DT technologies) are reshaping work processes, including personnel selection, an area traditionally viewed as inherently human-centric. While prior studies have examined various digital technologies in personnel selection, they have not provided sufficient evidence on the different levels of digitalization in selection processes and the factors influencing organizations’ adoption decisions. To address these gaps, this study systematically reviews 94 Scopus-indexed studies to analyze how DT technologies are applied across selection stages, categorizing practices into Manual, Digitalized, and Digitally Transformed approaches. By further distinguishing between Digital Technologies and AI Enhancements, this study offers a structured framework for understanding how organizations integrate digital technologies into selection and what drives or hinders their adoption. The findings highlight both the benefits (efficiency gains, potential bias reduction, improved candidate experience) and challenges (ethical concerns, algorithmic bias, technical and cultural barriers, and candidate perceptions) associated with these technologies, providing insights for both academic research and HR practice." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Winners and losers when firms robotize: wage effects across occupations and education (2026)
Zitatform
Barth, Erling, Marianne Røed, Pål Schøne & Janis Umblijs (2026): Winners and losers when firms robotize: wage effects across occupations and education. In: The Scandinavian Journal of Economics, Jg. 128, H. 1, S. 3-32. DOI:10.1111/sjoe.12593
Abstract
"This paper analyses the impact of robots on workers' wages in the manufacturing sector, with a particular focus on relative wages for workers with different levels of education and in different occupations. Using high-quality matched employer–employee register data with firm-level information on the introduction of industrial robots, we identify the effects of robotization on relative wages within firms. Skilled blue-collar workers with a vocational degree experience a decline in wages when firms introduce robots, while there are only small effects for the other groups of workers. These results suggest that robots are substitutes for tasks undertaken by skilled blue-collar workers in manufacturing, and furthermore that the adoption of robots contributes to a polarization of the labor market and a hollowing out of the wage distribution, rather than to skill-biased technical change." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Investigating social protection amongst platform workers in Germany: forced individualisation, hybrid income generation and undesired regulation (2026)
Zitatform
Beckmann, Fabian, Sabrina Glanz, Fabian Hoose & Serkan Topal (2026): Investigating social protection amongst platform workers in Germany: forced individualisation, hybrid income generation and undesired regulation. In: Journal of Social Policy, Jg. 55, H. 1, S. 100-118. DOI:10.1017/s0047279424000217
Abstract
"The social protection of platform workers is considered one of the most precarious features and political challenges of this new form of employment. Still, there have only been a few empirical investigations on this issue to date. This article presents an explorative empirical analysis of the social protection of platform workers in Germany – a conservative welfare regime with a strong link between standard employment and institutionalized social protection. On the basis of an online survey amongst 719 self-employed platform workers, we examine how different employment patterns correspond to institutionalized protection against sickness and old age. We empirically explore different protection types and analyse how they differ regarding working conditions in platform work and individual social policy preferences. Findings reveal that conditions of platform work and social protection as well as demands and regulatory preferences vary notably across different clusters of platform workers. Still, the vast majority votes against obligatory social insurances for platform workers and favors self-employment over dependent employment. Against this background, we discuss challenges for future attempts aiming at improving social protection for platform workers. This study adds to the literature by empirically exploring platform workers’ social protection and social policy preferences, which have been overlooked to date." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Automation Experiments and Inequality (2026)
Zitatform
Benzell, Seth Gordon & Kyle R. Myers (2026): Automation Experiments and Inequality. (NBER working paper / National Bureau of Economic Research 34668), Cambridge, Mass, 26 S., App. DOI:10.3386/w34668
Abstract
"Many experiments study the productivity effects of automation technologies such as generative algorithms. A key test in these experiments relates to inequality: does the technology increase output more for high- or low-skill workers? However, the theoretical content of this empirical test has been unclear. Here, we formalize a theory that describes the experimental effect of automation technologies on worker-level output and, therefore, inequality. Worker-level output depends on a task-level production function, and workers are heterogeneous in their task-level skills. Workers perform a task themselves or delegate it to the automation technology. The inequality effect of improved automation depends on the interaction of two factors: (i) the correlation in task-level skills across workers, and (ii) workers' skills relative to the technology's effective skill. In many cases we study, the inequality effect is non-monotonic --- as technologies improve, inequality decreases then increases. The model and descriptive statistics of skill correlations generally suggest that the diversity of automation technologies will play an important role in the evolution of inequality." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Digital divide and income inequality: causal evidence from Italian provinces (2026)
Zitatform
Bergantino, Angela Stefania, Giulio Fusco, Mario Intini & Gianluca Monturano (2026): Digital divide and income inequality: causal evidence from Italian provinces. In: The Annals of Regional Science, Jg. 75, H. 1. DOI:10.1007/s00168-025-01440-z
Abstract
"The digital economy can function either as a catalyst to stimulate economic growth or else as a driver of socioeconomic inequality when its benefits are unevenly distributed. This study investigates the effect of rural digital connectivity on income inequality in Italy. Utilizing NUTS 3 panel data spanning 2014–2022, we conduct a counterfactual Difference-in-Differences approach with continuous treatment intensity to estimate the impact of introducing rural broadband coverage at speeds of 30 and 100 Mbps on multiple measures of income distribution, including the Gini, Theil, and Atkinson indices. The empirical framework incorporates a comprehensive set of socioeconomic controls, as well as provincial and time fixed effects, to account for unobserved heterogeneity and regional path dependencies. Our findings indicate that broadband expansion is significantly associated with increasing inequality, suggesting that access alone does not guarantee inclusive outcomes, particularly in localities characterized by structural fragility and limited human capital. Additional heterogeneity and spatial analyses demonstrate that these inequality effects are more evident in southern provinces and localities with a higher concentration of inner areas, where the digital divide remains more pronounced. These findings accentuate the dual role of digitalization and highlight the necessity of coordinated policy interventions that combine infrastructure investment with digital skills development, institutional capacity-building, and spatially integrated governance strategies." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
The Host Country Effect in the Platform Economy: Insights from Meal Delivery in Germany and Austria (2026)
Zitatform
Beyer, Jürgen & Janis Ewen (2026): The Host Country Effect in the Platform Economy: Insights from Meal Delivery in Germany and Austria. In: Zeitschrift für Sozialreform, S. 1-26. DOI:10.1515/zsr-2025-0020
Abstract
"Dieser Artikel beschreibt anhand einer Fallstudie zu Lieferando – dem Marktführer in Deutschland und Österreich – wie Host-Country-Effekte die Organisation der Arbeit auf Online-Plattformen im Bereich der Lebensmittellieferung beeinflussen. Entgegen der Erwartung, dass Plattformunternehmen weltweit standardisierte Modelle der Gig-Arbeit-Organisation verbreiten würden, hat Lieferando seine Beschäftigten in beiden Ländern ursprünglich mit Arbeitsverträgen ausgestattet. Seit Neuestem verfolgt Lieferando jedoch divergierende Beschäftigungsstrategien: In Deutschland ist eine Umstellung auf Lieferungen durch Subunternehmen erfolgt, und in Österreich werden den Lieferanten nun statt Arbeitsverträgen sogenannte freie Dienstverträge angeboten. Diese auf Host-Country-Effekte zurückgehenden Entwicklungen in beiden Ländern spiegeln den Einfluss der nationalen Rechtsrahmen, institutioneller Traditionen und einer Plattformstrategie wider, die durch die Übernahme von Lieferandos Muttergesellschaft Just Eat Takeaway durch Prosus in eine andere Richtung gelenkt wurde. Trotz einer starken Tradition der Arbeitnehmervertretung und Tarifverhandlungen in beiden Ländern unterstreichen die jüngsten Entwicklungen die Anfälligkeit von Plattformarbeit gegenüber regulatorischen Lücken, kapitalgetriebenen Umstrukturierungen und sinkenden Arbeitsstandards." (Autorenreferat, IAB-Doku, © De Gruyter)
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Literaturhinweis
Mind the Gap: AI Adoption in Europe and the US (2026)
Zitatform
Bick, Alexander, Adam Blandin, David Deming, Nicola Fuchs-Schündeln & Jonas Jessen (2026): Mind the Gap: AI Adoption in Europe and the US. (RF Berlin - CReAM Discussion Paper Series 102/26), Berlin, 71 S.
Abstract
"This paper combines international evidence from worker and firm surveys conducted in 2025 and 2026 to document large gaps in AI adoption, both between the US and Europe and across European countries. Cross-country differences in worker demographics and firm composition account for an important share of these gaps. AI adoption, within and across countries, is also closely linked to firm personnel management practices and whether firms actively encourage AI use by workers. Micro-level evidence suggests that AI generates meaningful time savings for many workers. At the macro level, in recent years industries with higher AI adoption rates have experienced faster productivity growth. While we do not establish causality, this relationship is statistically significant and similar in magnitude in Europe and the US. We do not find clear evidence that industry-level AI adoption is associated with employment changes. We discuss limitations of existing data and outline priorities for future data collection to better assess the productivity and labor market effects of AI." (Author's abstract, IAB-Doku) ((en))
Ähnliche Treffer
- spätere (möglicherweise abweichende) Version erschienen u.d.T. "Mind the Gap: AI Adoption in Europe and the US : BPEA Conference Draft, March 26-27, 2026" in: Brookings Papers on Economic Activity, Conference Draft (2026), 1-70
- auch erschienen u.d.T. "Mind the Gap: KI-Einführung in Europa und den USA" als: CEPR discussion paper / Centre for Economic Policy Research, 21337
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Literaturhinweis
Mind the Gap: AI Adoption in Europe and the US: BPEA Conference Draft, March 26-27, 2026 (2026)
Zitatform
Bick, Alexander, Adam Blandin, David J. Deming, Nicola Fuchs-Schündeln & Jonas Jessen (2026): Mind the Gap: AI Adoption in Europe and the US. BPEA Conference Draft, March 26-27, 2026. In: Brookings Papers on Economic Activity, Jg. Conference Draft, H. Spring, S. 1-70.
Abstract
"This paper combines international evidence from worker and firm surveys conducted in 2025 and 2026 to document large gaps in AI adoption, both between the US and Europe and across European countries. Cross-country differences in worker demographics and firm composition account for an important share of these gaps. AI adoption, within and across countries, is also closely linked to firm personnel management practices and whether firms actively encourage AI use by workers. Micro-level evidence suggests that AI generates meaningful time savings for many workers. At the macro level, in recent years industries with higher AI adoption rates have experienced faster productivity growth. While we do not establish causality, this relationship is statistically significant and similar in magnitude in Europe and the US. We do not find clear evidence that industry-level AI adoption is associated with employment changes. We discuss limitations of existing data and outline priorities for future data collection to better assess the productivity and labor market effects of AI." (Author's abstract, IAB-Doku) ((en))
Ähnliche Treffer
- frühere (möglicherweise abweichende) Version erschienen u.d.T. "Mind the Gap: KI-Einführung in Europa und den USA" als: CEPR discussion paper / Centre for Economic Policy Research, 21337
- frühere (möglicherweise abweichende) Version erschienen u.d.T. "Mind the Gap: AI Adoption in Europe and the US" als: RF Berlin - CReAM Discussion Paper Series, 102/26
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Literaturhinweis
Mind the Gap: KI-Einführung in Europa und den USA (2026)
Zitatform
Bick, Alexander, Adam Blandin, David Deming, Nicola Fuchs-Schündeln & Jonas Jessen (2026): Mind the Gap: KI-Einführung in Europa und den USA. (CEPR discussion paper / Centre for Economic Policy Research 21337), London, 80 S.
Abstract
"This paper combines international evidence from worker and firm surveys conducted in 2025 and 2026 to document large gaps in AI adoption, both between the US and Europe and across European countries. Cross-country differences in worker demographics and firm composition account for an important share of these gaps. AI adoption, within and across countries, is also closely linked to firm personnel management practices and whether firms actively encourage AI use by workers. Micro-level evidence suggests that AI generates meaningful time savings for many workers. At the macro level, in recent years industries with higher AI adoption rates have experienced faster productivity growth. While we do not establish causality, this relationship is statistically significant and similar in magnitude in Europe and the US. We find no clear evidence that industry-level AI adoption is associated with employment changes. We discuss limitations of existing data and outline priorities for future data collection to better assess the productivity and labor market effects of AI." (Author's abstract, IAB-Doku) ((en))
Ähnliche Treffer
- spätere (möglicherweise abweichende) Version erschienen u.d.T. "Mind the Gap: AI Adoption in Europe and the US : BPEA Conference Draft, March 26-27, 2026" in: Brookings Papers on Economic Activity, Conference Draft (2026), 1-70
- auch erschienen u.d.T. "Mind the Gap: AI Adoption in Europe and the US" als: RF Berlin - CReAM Discussion Paper Series, 102/26
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Literaturhinweis
Re‐Skilling in the Age of Skill Shortage: Adult Education Rather Than Active Labor Market Policy: Special Issue: Bringing the Ecological and the Social Together in the Green Transition: A Multilevel Analysis (2026)
Zitatform
Bonoli, Giuliano, Patrick Emmenegger & Alina Felder-Stindt (2026): Re‐Skilling in the Age of Skill Shortage: Adult Education Rather Than Active Labor Market Policy. Special Issue: Bringing the Ecological and the Social Together in the Green Transition: A Multilevel Analysis. In: Regulation and governance, Jg. 20, H. 2, S. 482-494. DOI:10.1111/rego.70065
Abstract
"European economies face the task of providing the necessary skills for the “twin transition ” in a period of skill shortage. As a result, we may expect countries to reorient their labor market policy towards re-skilling. We look for evidence of a reorientation in two relevant policy fields: active labor market policy (ALMP) and adult education (AE). We explore general trends in both fields based on quantitative indicators and compare recent policy developments in four countries with strong ALMP and AE sectors: Denmark, France, Germany, and Sweden. We do not observe clear evidence of a general movement away from activation and towards re-skilling in ALMP. However, in AE, we identify several re-skilling initiatives that address skill shortages. Relying on insights from queuing theories of hiring and training, we argue that due to changes in the population targeted by ALMP, the locus of re-skilling policy is increasingly moving towards AE." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Explaining women's skepticism toward artificial intelligence: The role of risk orientation and risk exposure (2026)
Borwein, Sophie ; Bonikowski, Bart ; Ognyanova, Katherine; Alvarez, R. Michael; Loewen, Peter J.; Magistro, Beatrice ;Zitatform
Borwein, Sophie, Beatrice Magistro, R. Michael Alvarez, Bart Bonikowski & Peter J. Loewen (2026): Explaining women's skepticism toward artificial intelligence: The role of risk orientation and risk exposure. In: PNAS nexus, Jg. 5, H. 1. DOI:10.1093/pnasnexus/pgaf399
Abstract
"This article examines the gender gap in attitudes toward the adoption of AI in the workplace, with a focus on how gender differences in risk orientation and risk exposure drive skepticism toward AI’s economic benefits. Using original surveydata from ∼3,000 respondents across Canada and the United States, we find that women consistently perceive AI to be riskier than men. We identify two key drivers behind this gender gap: women’s higher general risk aversion and their greater exposure to AI-related risks. To establish a causal relationship between risk and AI attitudes, we show experimentally that as the probability of net positive employment effects decreases, women’s support for companies adopting AI falls more sharply than men’s. Finally, structural topic modeling of open-ended responses confirms that women express greater uncertainty about AI’s benefits and more frequently anticipate little to no benefits. Given AI’s potential to exacerbate existing gender inequalities, our study highlights the critical importance of incorporating women’s perspectives into AI policy-making. Policies that do not address gender-specific risks may not only reinforce existing inequalities in employment and income but could also generate political backlash against AI adoption." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Comment on “Artificial Intelligence and Technological Unemployment” by Wang and Wong (2026)
Braxton, J. Carter;Zitatform
Braxton, J. Carter (2026): Comment on “Artificial Intelligence and Technological Unemployment” by Wang and Wong. In: Journal of monetary economics, Jg. 159. DOI:10.1016/j.jmoneco.2026.103924
Abstract
"Since the launch of ChatGPT in November 2022 there has been a surge in the uptake of generative artificial intelligence (AI). The recent advances in AI have also been met with sweeping statements about the potential future employment effects. For example, the CEO of Anthropic said in May 2025 that “AI could wipe out half of all entry-level white-collar jobs - and spike unemployment to 10%–20% in the next one to five years.”1 In their paper, Wang and Wong (2025) develop and quantify an equilibrium model of the labor market to evaluate the potential employment effects of the spread of AI. Their model builds on labor search models with technological change (e.g., Mortensen and Pissarides (1998), and Postel-Vinay (2002)), augmenting the framework to capture the specifics of AI and calibrating it to recent empirical evidence on the impact of AI. The authors arrive at a striking result that the spread of AI will increase productivity by a factor of three but decrease employment by 23%, with approximately half of the increase occurring over the next 5-years. In this comment, I first discuss the central model ingredients of Wang and Wong (2025), which implies that there are both a job creation and job destruction channel of AI. I then discuss how we can learn about the relative strength of the job creation and destruction channels from the spread of computers between the 1980s and early 2000s. Finally, I conclude with avenues for future research." (Author's abstract, IAB-Doku, © 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.) ((en))
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Literaturhinweis
Adapting social security to the needs of platform Workers – comparing the effects of EU initiatives in the Netherlands and Germany (2026)
Zitatform
Brega, Carla & Karin Schulze Buschoff (2026): Adapting social security to the needs of platform Workers – comparing the effects of EU initiatives in the Netherlands and Germany. In: Zeitschrift für Sozialreform, S. 1-26. DOI:10.1515/zsr-2025-0023
Abstract
"Vor dem Hintergrund der Bedeutungszunahme der digitalen Plattformarbeit werden in Europa verstärkt Debatten über die Einstufung von Arbeitsverhältnissen und ihren sozialen Schutz geführt. Plattformbeschäftigte werden in der Regel als Selbstständige eingestuft, weshalb sie von den für Arbeitnehmer*innen konzipierten Arbeitsschutz- und Sozialversicherungssystemen ausgeschlossen sind. Die EU-Richtlinie zur Plattformarbeit (2024) befasst sich mit diesem Problem durch eine widerlegbare Vermutung des Beschäftigungsstatus, wodurch die (Re-)Klassifizierung von Plattformbeschäftigten als Arbeitnehmer*innen erleichtert werden soll. Wir argumentieren, dass eine (Re-)Klassifizierung allein möglicherweise nicht ausreicht, um einen angemessenen sozialen Schutz zu gewährleisten. Plattformarbeit ist häufig eine Nebentätigkeit für Menschen mit mehreren Jobs, unregelmäßigen Einkommen und fragmentierten Beschäftigungsverhältnissen – Beschäftigungsmuster, die Sozialversicherungssysteme herausfordern, die auf standardmäßigen Vollzeitbeschäftigungsverhältnissen bei einem einzigen Arbeitgeber basieren. Selbst wenn sie den Status eines abhängig Beschäftigten erlangen, können Plattformbeschäftigte die Voraussetzungen für die Arbeitslosenversicherung, für Rentenansprüche und andere Sozialleistungen nicht erfüllen. Anhand einer vergleichenden institutionellen Analyse Deutschlands und der Niederlande untersuchen wir, wie unterschiedliche Konfigurationen des Sozialstaats sowohl den (Re-)Klassifizierungsprozess als auch das Verhältnis von Beschäftigungsstatus und effektivem Zugang zu Sozialleistungen beeinflussen. Das konservative korporatistische Modell Deutschlands schafft eine scharfe Trennung zwischen dem Schutz von Arbeitnehmer*innen und Selbstständigen, während der hybride Flexicurity-Ansatz der Niederlande atypische Beschäftigungsverhältnisse flexibler berücksichtigt. Unsere Analyse zeigt, dass keines der beiden Modelle diesen Herausforderungen gerecht wird, was darauf hindeutet, dass Initiativen zur (Re-)Klassifizierung auf der EU-Ebene mit gleichzeitigen Reformen der nationalen Sozialversicherungssysteme einhergehen müssen, um Plattformbeschäftigten einen adäquaten Schutz zu bieten." (Autorenreferat, IAB-Doku, © De Gruyter)
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Literaturhinweis
Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence (2026)
Zitatform
Brynjolfsson, Erik, Bharat Chandar & Ruyu Chen (2026): Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence. (Working Papers / Stanford Institute for Economic Policy Research), Stanford, 140 S.
Abstract
"Using a sample of high-frequency administrative payroll data from ADP covering millions of U.S. workers through June 2026, we document six facts about the labor market following the widespread adoption of generative AI. (1) We find no evidence of widespread, economy-wide job displacement. (2) However, employment of young workers (ages 22–25) in AI-exposed occupations now stands 19% below where it would be had it kept pace with that of their less-exposed peers; experienced workers show no comparable gap. (3) This divergence has widened steadily since we first documented it in August 2025. (4) It operates primarily through reduced hiring of young workers rather than increased separations. (5) Declines are concentrated in occupations where AI usage primarily substitutes for human tasks; where usage primarily complements workers, employment is flat or rising, especially for experienced workers. (6) Adjustment is occurring through employment rather than base compensation. The divergence is not explained by several prominent alternative factors: it persists when excluding technology firms and computer occupations, when controlling for exposure to interest-rate increases and for remote work, and across alternative measures of AI exposure. These patterns attenuate when controlling for education, show some divergent trends predating generative AI, and are more pronounced in the ADP analysis sample than in national survey benchmarks, with some evidence of consistent patterns in government administrative data. We interpret these facts as early, descriptive indicators—canaries in the coal mine—rather than causal estimates, and we provide a public set of AI Economic Indicators to facilitate ongoing tracking of changes in the economy." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Der KI-Irrtum: Warum Deutschland auf Zuwanderung angewiesen ist: Leitartikel (2026)
Zitatform
Brücker, Herbert, Yuliya Kosyakova & Enzo Weber (2026): Der KI-Irrtum: Warum Deutschland auf Zuwanderung angewiesen ist. Leitartikel. In: Wirtschaftsdienst, Jg. 106, H. 5, S. 304-305. DOI:10.2478/wd-2026-0074
Abstract
"Sieben Millionen - so viele Arbeitskräfte wird Deutschland in den nächsten 15 Jahren allein aufgrund des demografischen Wandels verlieren. Bereits seit vielen Jahren ist der demografische Effekt negativ, mit mehr als 400.000 Arbeitskräften pro Jahr. Tatsächlich beginnt der deutsche Arbeitsmarkt jedoch erst jetzt zu schrumpfen. Denn bislang konnte dieser Rückgang überkompensiert werden - durch eine steigende Erwerbsbeteiligung von Älteren und Frauen; und vor allem durch Zuwanderung. Doch diese Ausgleichsmechanismen stoßen zunehmend an Grenzen. Europa altert insgesamt, und die Dynamik der Zuwanderung innerhalb Europas nimmt ab. Zugleich sind viele der besonders mobilen, jüngeren Kohorten bereits gewandert. Vor diesem Hintergrund wird Migration schwieriger - und genau hier setzt ein verbreitetes Argument an: Wenn Künstliche Intelligenz (KI) zunehmend Aufgaben übernimmt, braucht man doch keine zusätzlichen Arbeitskräfte mehr. Diese Folgerung ist ein Trugschluss. Arbeitskräfteknappheit lässt sich gesamtwirtschaftlich nicht einfach wegdigitalisieren." (Autorenreferat, IAB-Doku)
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Literaturhinweis
Das knappe Gut Arbeit: Automatisierung, Arbeitskräftemangel und sozialer Konflikt (2026)
Zitatform
Butollo, Florian (2026): Das knappe Gut Arbeit. Automatisierung, Arbeitskräftemangel und sozialer Konflikt. (Edition Suhrkamp 2815), Berlin: Suhrkamp Verlag, 254 Seiten.
Abstract
"Angesichts von Digitalisierung und Künstlicher Intelligenz wird allerorten vor massiven Arbeitsplatzverlusten gewarnt. Gleichzeitig reißen die Klagen über Fachkräftemangel nicht ab, zahllose Stellen bleiben unbesetzt, und dem Pflegesektor droht der Kollaps. Florian Butollo geht diesem Paradoxon auf den Grund und analysiert, warum gerade Automatisierung immer mehr Arbeit schafft – und damit zur Keimzelle eines neuen sozialen Konflikts wird: Die anbrechende Ära der Arbeitskräfteknappheit ist geprägt vom Leiden an Überlastung und den Kämpfen dagegen. Zugleich stellt sich die Frage nach der Sinnhaftigkeit von Arbeit neu: Wofür wollen wir angesichts sozialer und ökologischer Krisen künftig unsere Arbeitskraft einsetzen – und welche Tätigkeiten können verschwinden?" (Verlagsangaben, IAB-Doku)
Weiterführende Informationen
Inhaltsverzeichnis -
Literaturhinweis
Crowdwork als Beruf?: Subjektivierung, Kompetenzerwerb und Lernen in der digitalen Plattformarbeit (2026)
Büchter, Karin; Li-Gottwald, Jiayin; Kleemann, Frank; Schlömer, Tobias; Eckelt, Marcus; Krzywdzinski, Martin ;Zitatform
Büchter, Karin, Tobias Schlömer, Frank Kleemann, Martin Krzywdzinski, Marcus Eckelt & Jiayin Li-Gottwald (Hrsg.) (2026): Crowdwork als Beruf? Subjektivierung, Kompetenzerwerb und Lernen in der digitalen Plattformarbeit. Verlag Barbara Budrich: Berlin, 314 S. DOI:10.3224/84743131
Abstract
"Crowdwork ist eine junge Arbeitsform, bei der einzelne Arbeitstätigkeiten über Online-Plattformen an externe Arbeitskräfte vergeben werden. Der Band präsentiert Erkenntnisse aus einem breit angelegten Forschungsprojekt, in dem arbeitssoziologische, berufs- und wirtschaftspädagogische Perspektiven auf das Tätigsein, auf Lernpraktiken von Crowdworker*innen und auf die individuelle Bedeutung plattformbasierter Arbeit eingenommen werden. Die Beiträge setzen sich mit Aspekten wie Subjektivierung, Wissensgenerierung, Kompetenzentwicklung, Beruflichkeit und Lernen in der plattformbasierten Arbeit auseinander." (Autorenreferat, IAB-Doku)
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Literaturhinweis
Becoming The Man Without Qualities? Deskilling in the Age of Artificial Intelligence (2026)
Zitatform
Cantarella, Michele, Giuseppe Molinari & Chiara Strozzi (2026): Becoming The Man Without Qualities? Deskilling in the Age of Artificial Intelligence. (IZA discussion paper / IZA Network @ LISER 18751), Esch-sur-Alzette, 49 S.
Abstract
"This paper investigates how Artificial Intelligence reshapes the human capabilities that jobs require. Using longitudinal O*NET data for the U.S. labour market over 2011-2025, we distinguish among three types of human capabilities - abilities, skills, and knowledge - and construct two measures of human capabilities - exposure to AI: one based on observed progress in Generative AI benchmark performance and one based on the broader evolution of AI-related scientific and public attention. We document a dual pattern. Within occupations, greater AI exposure is associated with higher proficiency requirements for selected capabilities. At the occupational level, more exposed occupations exhibit a compression in the overall breadth of capabilities required. Together, these findings suggest that AI is driving a process of occupational restructuring, leading to more specialized and less diverse capability profiles embedded in jobs." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Evidence on the Adoption of Artificial Intelligence: The Role of Skills Shortage (2026)
Zitatform
Carioli, Paolo, Dirk Czarnitzki & Gastón P. Fernández (2026): Evidence on the Adoption of Artificial Intelligence: The Role of Skills Shortage. (IZA discussion paper / IZA Network @ LISER 18793), Esch-sur-Alzette, 34 S.
Abstract
"Artificial Intelligence (AI) is considered to be the next general-purpose technology, with the potential of performing tasks commonly requiring human capabilities. While it is commonly feared that AI replaces labor and disrupts jobs, we instead investigate the potential of AI for overcoming increasingly alarming skills shortages in firms. We exploit unique German survey data from the Mannheim Innovation Panel on both the adoption of AI and the extent to which firms experience scarcity of skills. We measure skills shortage by the number of job vacancies that could not be filled as planned by firms, distinguishing among different types of skills. To account for the potential endogeneity of skills shortage, we also implement instrumental variable estimators. Overall, we find a positive and significant effect of skills shortage on AI adoption, the breadth of AI methods, and the breadth of areas of application of AI. In addition, we find evidence that shortage on academic qualifications and STEM skills relates to firms adopting AI." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Making digital welfare work: conceptualizing digital compensatory work by frontline professionals (2026)
Carlsson, Julia S.; Svensson, Petra M.; Hjärpe, Teres;Zitatform
Carlsson, Julia S., Teres Hjärpe & Petra M. Svensson (2026): Making digital welfare work: conceptualizing digital compensatory work by frontline professionals. In: Journal of Professions and Organization, Jg. 13, H. 3, S. 1-17. DOI:10.1093/jpo/joag011
Abstract
"Digital technologies in welfare organizations frequently generate gaps, ambiguities, and misalignments that require professional intervention. Yet prior research has tended to portray frontline workers mainly as resistant or adaptive actors, leaving under-examined their active contributions to sustaining broader digital infrastructures. This article introduces the concept of digital compensatory work to capture how professionals intervene when specific digital technologies fall short of their own standards for professional service delivery. Drawing on an exploratory literature review, we identify three forms of such compensatory work: complementing digital technologies, rectifying their shortcomings, and dismissing them when they conflict with professional judgment. By theorizing these practices, the article expands existing understandings of professional discretion in digital welfare services, shifting attention from resistance and adaptation to value-driven interventions that actively uphold service quality within digital infrastructures. In doing so, it contributes to debates on digital welfare and highlights the essential role of professional agency in sustaining human service organizations under conditions of digital transformation." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Revisiting the occupational impact of AI in the generative AI era (2026)
Casas, P.; González-Vázquez, I.; Salotti, S.; Martínez-Plumed, F.; Gómez, E.; Fernández-Macías, E.;Zitatform
Casas, P., E. Fernández-Macías, F. Martínez-Plumed, E. Gómez, I. González-Vázquez & S. Salotti (2026): Revisiting the occupational impact of AI in the generative AI era. (JRC working papers series on labour, education and technology 2026,02), Sevilla, 71 S.
Abstract
"Generative AI is reshaping what artificial intelligence can do in the workplace, calling into question pre-GenAI assessments of which workers and tasks are most exposed. In this paper we trace the evolution of AI exposure in the European labour market from 2008 to 2024 by linking 352 AI benchmarks to 14 cognitive abilities, 108 work tasks and 127 ISCO-3 occupations, weighting benchmarks by their research intensity in the AI literature and thus deriving AI exposure by cognitive ability. Bundling work tasks into occupations based on intensity indicators, we explore occupational exposure to AI. We find that the cognitive abilities most exposed to the recent surge of AI research are ideas-related, such as attention and search, comprehension and expression and logical reasoning. Because the associated information processing and problem-solving tasks are the most transversal across occupations, we find an exponential increase in AI exposure across all occupational categories of workers, even though comparatively high-skilled occupations are more exposed than elementary occupations. This points at a substantial and transversal labour market impact of AI." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
A rising tide: revisiting the occupational impact of AI in the generative era (2026)
Casas, Pablo ; González-Vázquez, Ignacio ; Gómez, Emilia; Salotti, Simone ; Fernández-Macías, Enrique ; Martínez-Plumed, Fernando;Zitatform
Casas, Pablo, Enrique Fernández-Macías, Fernando Martínez-Plumed, Emilia Gómez, Ignacio González-Vázquez & Simone Salotti (2026): A rising tide: revisiting the occupational impact of AI in the generative era. In: Structural Change and Economic Dynamics, Jg. 80, S. 223-240. DOI:10.1016/j.strueco.2026.07.016
Abstract
"Generative AI is reshaping what artificial intelligence can do in the workplace, calling into question pre-GenAI assessments of which workers and tasks are most exposed. In this paper we trace the evolution of AI exposure in the European labour market from 2008 to 2024 by linking 352 AI benchmarks to 14 cognitive abilities, 108 work tasks and 127 ISCO-3 occupations, weighting benchmarks by their research intensity in the AI literature and thus deriving AI exposure by cognitive ability. Bundling work tasks into occupations based on intensity indicators, we explore occupational exposure to AI. We find that the cognitive abilities most exposed to the recent surge of AI research are ideas-related, such as attention and search, comprehension and expression and logical reasoning. Because the associated information processing and problem-solving tasks are the most transversal across occupations, we find a steep increase in AI exposure across all occupational categories of workers, even though comparatively high-skilled occupations are more exposed than elementary occupations. This points at a substantial and transversal labour market impact of AI." (Author's abstract, IAB-Doku, © 2026 The Authors. Published by Elsevier B.V.) ((en))
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Literaturhinweis
Innovation and Income Inequalities: Comparing Entrepreneurial State and Standard Welfare Policies (2026)
Zitatform
Castellacci, Fulvio (2026): Innovation and Income Inequalities: Comparing Entrepreneurial State and Standard Welfare Policies. In: The B.E. Journal of Economic Analysis and Policy, Jg. 26, H. 3, S. 923-968. DOI:10.1515/bejeap-2025-0421
Abstract
"Innovation fosters economic growth and the long-run dynamics of national economies. However, recent literature shows that innovation is also a source of increasing income inequalities. Public policies face thus an important trade-off between efficiency and equity effects of innovation. What are the possible policy strategies to address this trade-off? The paper presents a model in which innovations can be developed by both private firms and public companies. Technological change increases the profit share in the long-run, exacerbating income inequalities between firms’ owners, employed workers, and the unemployed. I empirically calibrate the model for the US economy and carry out a simulation analysis to investigate the effects of different policies aimed at reducing the inequality effects of innovation. Specifically, the analysis compares two distinct policy strategies: one is based on a standard economic policy approach that increases taxes to finance welfare spending; the other is based on a new approach – the Entrepreneurial State – in which the profits of innovations developed by public R&D companies are used to finance welfare programs. The results point out the advantages and drawbacks of different strategies and show that the optimal policy strategy largely depends on the policy maker’s preferencesregarding the income distribution." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
The AI workforce and firm maturity: old firms, new tech (2026)
Zitatform
Chatjuthamard, Pattanaporn, Pornsit Jiraporn, Pandej Chintrakarn & Woraphon Wattanatorn (2026): The AI workforce and firm maturity: old firms, new tech. In: Journal of business economics, S. 1-45. DOI:10.1007/s11573-026-01271-0
Abstract
"We examine how firm age affects the adoption of artificial intelligence (AI) within the workforce. Drawing on a novel dataset developed by Babina et al. (2024) combining resume and job posting data for U.S. firms, we find that older firms often encounter difficulties integrating AI talent, possibly due to entrenched practices, outdated systems, and resistance to change. Specifically, a rise in firm age by one standard deviation reduces the share of AI workers by 5.2%. However, investments in R&D and infrastructure can mitigate these challenges, enabling modernization and attracting skilled AI professionals. Importantly, our analysis reveals that board composition, particularly the presence of female and minority directors, impacts AI adoption. In older firms, risk-averse decision-making and slower consensus-building among diverse boards may hinder the integration of AI talent. Firms that successfully integrate AI talent achieve significant improvements in market valuation and operational efficiency. Our study provides practical insights for managers and policymakers aiming to guide mature organizations through the challenges of technological transformation. Our findings relate to internal AI capability development and may not fully capture firms’ reliance on external AI solutions." (Author's abstract, IAB-Doku)((en))
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Literaturhinweis
How welfare states influence online platform work in Europe (2026)
Zitatform
Chueri, Juliana & Petter Törnberg (2026): How welfare states influence online platform work in Europe. In: Journal of European Social Policy, Jg. 36, H. 2, S. 119-135. DOI:10.1177/09589287251357463
Abstract
"Digital labor platforms are reshaping global labor markets by enabling the transnational contracting of service workers. While the dominant perspective emphasizes market forces, predicting that lower-wage countries will dominate the supply side, this view overlooks the institutional context in which platform labor emerges. This paper advances the argument that national welfare institutions are key to shaping participation in the platform economy. We provide the first large-scale cross-national comparative analysis of platform labor, combining micro-level data from one of the world’s largest remote work platforms with country-level indicators from 26 European countries. In line with market expectations, we find that lower-wage countries supply most low-skilled labor, while higher-wage countries show a more balanced distribution between low- and high-skilled workers. Crucially, however, our analysis reveals that greater welfare state generosity is associated with lower levels of platform participation, especially in low-skilled occupations. We argue that platform labor cannot be understood solely as a function of technological change or wage differentials. It is also an expression of structural constraints: where social protections are weak, people are more likely to turn to precarious forms of online work." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
The EU compromise machine and the politicisation of social policy: Lessons from the regulation of platform work (2026)
Zitatform
Crespy, Amandine, Bastian Kenn, Matteo Marenco & Slavina Spasova (2026): The EU compromise machine and the politicisation of social policy: Lessons from the regulation of platform work. In: Journal of European Social Policy, Jg. 36, H. 1, S. 18-33. DOI:10.1177/09589287251345912
Abstract
"Over the past few years, the legal status and the working conditions of platform workers have been among the most debated manifestations of the digital transformation of work. Tense negotiations on the EU platform work directive (from 2021 to 2024) epitomize long-standing conflicts in EU social policymaking, namely the opposition between capital and labor, on the one hand, and resistance to EU involvement or impact on Member States’ social arrangements, on the other. This paper provides an in-depth inquiry of the policy process by focussing specifically on the presumption of employment in platform work, which was first proposed as an EU-wide provision and eventually nationalized with its definition left to national arrangements. Drawing on this case and mobilizing the literature on positive integration entrepreneurship, and politicization, we shed light on the ‘drivers’ and ‘inhibitors’ of EU social regulation. On the one hand, we provide evidence that joint entrepreneurship of the European Parliament (EP) and the European Commission is a primary driver and argue for acknowledging the role of the EP as a key entrepreneur of ‘Social Europe’. On the other hand, divisions in the Council, underpinned by domestic politics, hinder ambitious social policy regulation at EU level in several respects. Furthermore, we tease out the role of politicization and theorize its ambivalent role as both a driver and inhibitor, depending on contingent party political orientations, contextual factors, but also the role played by Council presidencies, so far overlooked in the literature. We conclude that the drivers and inhibitors we identify, and the resulting dynamics of compromise, are relevant beyond the case of platform work. While stressing the crucial, yet ambivalent, role of politicization, our findings cast a shadow on what has recently been described as a great come back of ‘Social Europe’ with the European Pillar of Social Rights." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Measuring Task-Based Advanced Automation Technologies & Digital Assistance Systems in the National Educational Panel Study (2026)
Zitatform
Dicks, Alexander, Martin Ehlert, Insa Grüttgen, Benjamin Schulz & Basha Vicari (2026): Measuring Task-Based Advanced Automation Technologies & Digital Assistance Systems in the National Educational Panel Study. (NEPS Survey Papers 128), Bamberg, 31 S. DOI:10.5157/NEPS:SP128:1.0
Abstract
"Wir stellen ein neues taskbasiertes Instrument zur Messung der Automatisierung am Arbeitsplatz vor. Dabei bezeichnen wir die Automatisierungstechnologien als „digitale Assistenzsysteme“, die wir als fortschrittliche Automatisierungssysteme definieren, wie beispielsweise Software und Geräte, die Aufgaben automatisch ausführen, um die Arbeitnehmer zu unterstützen. Dazu gehören Chatbots mit künstlicher Intelligenz, Algorithmen zur Bild- und Videoerstellung, Tools für vorausschauende Wartung und Analyse, digitale Anleitungssysteme sowie Wearables und kollaborative Roboter. Aufbauend auf dem taskbasierten Ansatz und unter Berücksichtigung der jüngsten technologischen Fortschritte haben wir für das Nationale Bildungspanel (NEPS) sieben Items entwickelt, die verschiedene Arten von digitalen Assistenzsystemen erfassen. Ergebnisse auf Grundlage von Daten der NEPS-Startkohorten 4 und 6 zeigen, dass die Nutzung der digitalen Assistenzsysteme je nach Alter und Bildungsniveau variiert und mit komplementären beruflichen Aufgaben sowie Indikatoren für die Digitalisierung am Arbeitsplatz korreliert. Das neue Instrument ergänzt bestehende NEPS-Items zur Digitalisierung am Arbeitsplatz und bietet Potenzial für eine Längsschnittanalyse des technologischen Wandels am Arbeitsplatz und dessen Auswirkungen auf Qualifikationsanforderungen, Ungleichheit und lebenslanges Lernen." (Autorenreferat, IAB-Doku)
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Literaturhinweis
Biased by Design? Case Managers' Multidimensional Preferences Toward the Design of Algorithmic Decision Support Systems (2026)
Zitatform
Dietz, Martin, Christopher Osiander, Mareike Sirman-Winkler & Markus Tepe (2026): Biased by Design? Case Managers' Multidimensional Preferences Toward the Design of Algorithmic Decision Support Systems. In: Public Administration Review, S. 1-14. DOI:10.1111/puar.70111
Abstract
"This study examines whether street-level bureaucrats' preferences toward algorithmic decision support (ADS) induce a unilateral shift of technology-related risks onto clients of the public employment service. Expanding on public value theory and research on moral agency in public service work, we argue that case managers' choices of ADS designs are shaped by a plurality of professional, service, and efficiency values. To test this argument, we conducted a conjoint experiment on a representative sample of German Federal Employment Agency case managers. Respondents compared pairs of hypothetical ADS systems that differed in their design features, reflecting varying degrees of the realization of public values. The empirical results indicate that case managers' choices do not result in biased design. Instead, case managers balance design features reflecting professional and service values while maintaining administrative efficiency. Case managers appreciate ADS support but firmly reject the mandatory use of such advice." (Author's abstract, IAB-Doku, © Wiley) ((en))
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Literaturhinweis
Gendered Parenthood and Platform Work Across European Welfare Regimes (2026)
Zitatform
Drewes, Timon Kai (2026): Gendered Parenthood and Platform Work Across European Welfare Regimes. In: New Technology, Work and Employment, S. 1-21. DOI:10.1111/ntwe.70035
Abstract
"Digital platform labour has been growing and meanwhile successfully established in many parts of the world. Yet participation in platform work not only varies markedly across countries but also by individual-level factors such as gender and parenthood. This paper explains variation in mothers' and fathers' participation in platform work by linking gender and parenthood to welfare regime settings. Using pooled COLLEEM survey data (2017–2018) for Italy, Spain, Germany, Sweden and the UK, I estimate linear probability models of monthly platform work participation. Parenthood is associated with higher platform work participation in all five countries, but the increase is smallest in Germany and Sweden and largest in Spain, the UK, and moderately in Italy. Gender patterns vary by regime: mothers' participation is more responsive to parental-support institutions than fathers', while fathers' parenthood effects are especially pronounced in the UK and Spain. Overall, platform work seems to function as an adaptive strategy shaped by welfare regime settings and gendered care arrangements." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Impact of robotics on unemployment: Moderating effect of the national culture (2026)
Zitatform
Du, Guangjie, Suman Lodh, Monomita Nandy, Marina Dabić, Vikas Kumar & Jyoti Choudrie (2026): Impact of robotics on unemployment: Moderating effect of the national culture. In: Technological forecasting & social change, Jg. 227. DOI:10.1016/j.techfore.2026.124643
Abstract
"The integration of robotics has created significant opportunities while simultaneously introduced labour market challenges. The aim of this exploratory research is to investigate the impact of robotic adoption on unemployment in a cross-country context. By presenting a novel theoretical framework that integrates the Innovation Diffusion Theory (IDT) and the Absorptive Capacity Theory (ACT), and analysing a panel data from 33 countries, we show that countries with stronger absorptive capacity are better positioned to convert robotics adoption into employment gains. We further test whether national culture, proxied by Hofstede's cultural dimensions, moderates this relationship, uncovering a substantial heterogeneity across six cultural factors. This provides a practical blueprint for policymakers with clear evidence that uniform approaches to robotics adoption are unlikely to be effective and robotics policies must be tailored to local cultural norms, institutional capabilities, and national readiness. The policymaker should prioritise capability building alongside adjustment measures that support inclusive labour-market transitions." (Author's abstract, IAB-Doku, © 2026 The Authors. Published by Elsevier Inc.) ((en))
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Literaturhinweis
AI Diffusion and the Possibility of Full Unemployment: An Urgent but Neglected Issue (2026)
Zitatform
D’Orlando, Fabio (2026): AI Diffusion and the Possibility of Full Unemployment: An Urgent but Neglected Issue. In: Review of radical political economics, S. 1-20. DOI:10.1177/04866134261452321
Abstract
"Artificial Intelligence (AI) is often viewed as a potential catalyst for mass unemployment. However, there has been a notable lack of contributions published in economics journals on this topic, with virtually none exploring the possibility of full unemployment. This article has three main goals. First, it defines full unemployment and outlines its key theoretical features. Second, it seeks to explain economists’ reluctance to acknowledge AI’s potential to induce mass unemployment and, a fortiori, full unemployment. Finally, the article aims to clarify why, despite its low probability, full unemployment deserves serious theoretical consideration and detailed analysis by economists. It suggests that full unemployment might be seen as the long-term asymptotic endpoint of short-term dynamics marked by rising unemployment, even if the actual magnitudes never reach it." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Algorithmic Profiling: Effective Tool for Targeting Active Labour Market Policies? (2026)
Zitatform
Eppel, Rainer, Ulrike Huemer, Helmut Mahringer & Lukas Schmoigl (2026): Algorithmic Profiling: Effective Tool for Targeting Active Labour Market Policies? In: Labour, S. 1-20. DOI:10.1111/labr.70013
Abstract
"Digitisation has sparked interest in automated decision making in Public Employment Services (PES). We evaluate an algorithmic profiling model in Austria that predicts the reemployment prospects of unemployed individuals to classify and assign them to active labour market policies. Our analysis shows that reallocating resources from jobseekers with low to medium prospects, as proposed by the PES, does not yield the expected efficiency gains. We find no systematic evidence that programmes are less effective for individuals with low predicted employment prospects than for those with medium prospects. These findings caution against crude algorithmic profiling and highlight the need for nuanced targeting strategies that prioritise the most disadvantaged jobseekers." (Author's abstract, IAB-Doku, Published by arrangement with John Wiley & Sons) ((en))
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Literaturhinweis
Digitalization and remote work in peripheral labour markets in the Nordic region (2026)
Eythórsson, Grétar Thór; Jóhannesson, Hjalti;Zitatform
Eythórsson, Grétar Thór & Hjalti Jóhannesson (2026): Digitalization and remote work in peripheral labour markets in the Nordic region. In: Regional Science Policy & Practice, Jg. 18, H. 8. DOI:10.1016/j.rspp.2026.100321
Abstract
"This article explores the impact of technological transformation as one of the global megatrends in modern times. We focus on how new technologies, especially digitalization, have made it possible for people in peripheral places to work remotely. The focus is on the case municipalities in Iceland, especially Húsavík in in Norðurþing in northern Iceland, but also in a comparative context with remote municipalities in Norway, Sweden, and Åland. The empirical data used is from the Nordic project SUNREM (Sustainable Nordic Remote Labour Markets), which has been studying the impacts of megatrends on the sustainability of remote labour markets in four Nordic countries. Data is collected from in-depth interviews with stakeholders, policymakers, and ordinary citizens in seven selected cases in the four countries. The key research questions dealt with here are: What is the situation of remote work in selected cases in Nordic sparsely populated areas? What preconditions are needed for remote digital working? Has remote work made the labour market more sustainable? The main conclusions are that remote working exists in all of the Nordic cases investigated. The town of Húsavík in the municipality of Norðurþing in North Iceland, stands out with its well-developed remote work centres. There are clear signs that facilities where people can work and meet other remote workers are important. This enables broader recruitment into the labour market, since for example spouses can use this option, enabling them to move to more remote places. Remote work from people’s homes has some disadvantages, as pointed out by various researchers, and therefore infrastructure for remote working contributes to making labour markets in the periphery more sustainable." (Author's abstract, IAB-Doku, © 2026 The Authors. Published by Elsevier B.V. on behalf of The Regional Science Association International.) ((en))
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Literaturhinweis
Labor Market Consequences of Generative AI: Early Evidence from Norway (2026)
Zitatform
Facius, Dennis & Roberto Iacono (2026): Labor Market Consequences of Generative AI: Early Evidence from Norway. (CESifo working paper 12752), München, 49 S.
Abstract
"Does Generative AI displace early-career workers? We provide population-wide evidence from Norwegian administrative registers, 2015 through March 2025, exploiting the November 2022 release of ChatGPT as an availability shock. Using the within-firm composition difference-in-differences employed in recent work, supplemented with a synthetic difference-in-differences at the occupation level and a firm-level shift-share design, we find no robust evidence of employment displacement among young workers in highly AI-exposed occupations, nor any robust response across other age cohorts or on incumbent labor-market outcomes. While estimated coefficients for young workers are negative, in line with the existing literature, they are small and statistically insignificant. A backdating exercise on the synthetic difference-in-differences yields larger absolute estimates than the actual treatment date across most age bands. This suggests the apparent post-2022 decline reflects, at least in part, pre-existing secular trends rather than a clean AI-period break." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Toward a Bad Job Economy: AI Adoption, Agency Costs, and Job Design (2026)
Zitatform
Fahn, Matthias, Jin Li & Chang Sun (2026): Toward a Bad Job Economy: AI Adoption, Agency Costs, and Job Design. (CESifo working paper 12612), München, 23 S., App.
Abstract
"We study how AI affects compensation and job design when performance depends on workers' non-contractible effort. In a principal–agent model with limited liability, AI reduces effort costs but disproportionately lowers the cost of achieving satisfactory performance. This raises the incentive cost of sustaining high effort and can induce firms to replace high-wage, high-effort good jobs with low-wage, low-effort bad jobs, even when good jobs create more total surplus. As a result, AI can lower wages, reduce worker welfare, and even depress profits. If workers can adopt AI unilaterally, adoption occurs even when the resulting equilibrium harms both parties; when adoption requires worker cooperation, resistance is strongest where AI erodes rents embodied in good jobs. In a search-and-matching extension, endogenous outside options amplify these forces, reinforcing a bad-job economy and potentially reducing employment." (Author's abstract, IAB-Doku) ((en))
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