Hasil untuk "Labor policy. Labor and the state"

Ravish Gupta, Saket Kumar

This paper extends the Acemoglu-Restrepo task exposure framework to address the labor market effects of agentic artificial intelligence systems: autonomous AI agents capable of completing entire occupational workflows rather than discrete tasks. Unlike prior automation technologies that substitute for individual subtasks, agentic AI systems execute end-to-end workflows involving multi-step reasoning, tool invocation, and autonomous decision-making, substantially expanding occupational displacement risk beyond what existing task-level analyses capture. We introduce the Agentic Task Exposure (ATE) score, a composite measure computed algorithmically from O*NET task data using calibrated adoption parameters--not a regression estimate--incorporating AI capability scores, workflow coverage factors, and logistic adoption velocity. Applying the ATE framework across five major US technology regions (Seattle-Tacoma, San Francisco Bay Area, Austin, New York, and Boston) over a 2025-2030 horizon, we find that 93.2% of the 236 analyzed occupations across six information-intensive SOC groups (financial, legal, healthcare, healthcare support, sales, and administrative/clerical) cross the moderate-risk threshold (ATE >= 0.35) in Tier 1 regions by 2030, with credit analysts, judges, and sustainability specialists reaching ATE scores of 0.43-0.47. We simultaneously identify seventeen emerging occupational categories benefiting from reinstatement effects, concentrated in human-AI collaboration, AI governance, and domain-specific AI operations roles. Our findings carry implications for workforce transition policy, regional economic planning, and the temporal dynamics of labor market adjustment

EunJeong Cheon, Do Yeon Shin

As sidewalk delivery robots become increasingly integrated into urban life, this paper begins with a critical provocation: Is robot labor labor? More than a rhetorical question, this inquiry invites closer attention to the social and political arrangements that robot labor entails. Drawing on ethnographic fieldwork across two smart-city districts in Seoul, we examine how delivery robot labor is collectively sustained. While robotic actions are often framed as autonomous and efficient, we show that each successful delivery is in fact a distributed sociotechnical achievement--reliant on human labor, regulatory coordination, and social accommodations. We argue that delivery robots do not replace labor but reconfigure it--rendering some forms more visible (robotic performance) while obscuring others (human and institutional support). Unlike industrial robots, delivery robots operate in shared public space, engage everyday passersby, and are embedded in policy and progress narratives. In these spaces, we identify "robot privilege"--humans routinely yielding to robots--and distinct perceptions between casual observers ("cute") and everyday coexisters ("admirable"). We contribute a conceptual reframing of robot labor as a collective assemblage, empirical insights into South Korea's smart-city automation, and a call for HRI to engage more deeply with labor and spatial politics to better theorize public-facing robots.

Yigang Qin, EunJeong Cheon

The HCI community has called for renewed attention to labor issues and the political economy of computing. Yet much work remains in engaging with labor theory to better understand modern work and workers. This article traces the development of Labor Process Theory (LPT) -- from Karl Marx and Harry Braverman to Michael Burawoy and beyond -- and introduces it as an essential yet underutilized resource for structural analysis of work under capitalism and the design of computing systems. We examine HCI literature on labor, investigating focal themes and conceptual, empirical, and design approaches. Drawing from LPT, we offer directions for HCI research and practice: distinguish labor from work, link work practice to value production, study up the management, analyze consent and legitimacy, move beyond the point of production, design alternative institutions, and unnaturalize bourgeois designs. These directions can deepen analyses of tech-mediated workplace regimes, inform critical and normative designs, and strengthen the field's connection to broader political economic critique.

O. V. Shcherbakova

The subject. Economic, technological and geopolitical changes are leading to the digitalization of virtually all structures of the labor market: from the process of production and human resources management to the organization of the workplace. The use of new digital technologies makes it possible to give up routine human labor, contribute to improving the quality of working life of employees and employers, and increase industrial production, which means economic growth of the state. Thus, in accordance with the National Security Strategy, approved by the Decree of the President of the Russian Federation dated July 2, 2021 No. 400, the situation in the production industry is one of the key criteria of Russia's competitiveness and contributes to the strengthening of the state's defense capability. Ensuring Russia's independence  and competitiveness was also announced to be the main goal of the Strategy for Scientific and Technological Development of the Russian Federation, approved by Presidential Decree No. 642 dated December 1, 2016. On the other hand, the use of new technologies may have time-delayed risks. The most important risk today is the increasing release of labor force and mass cuts of jobs requiring average qualifications, as well as dismissal of employees due to failure to pass tests because of the lack of skills in digital tools.The purpose of the study was to substantiate the urgent character of the implementation of digital profile programs as a part of the employer's personnel policy to achieve the objectives set in the National Security Strategy of the Russian Federation dated 2021.The methodology of comprehensive research, including methods of document analysis, comparative analysis, secondary use of sociological and economic data were used.Main results. The study shows that the use of the employee digital profile programs will allow the employer to identify weaknesses in any of the employee’s skills well in advance, and to pave individual learning pathway, based on his/her preferences, hobbies  and intentions, in order to upgrade the skills. It is deemed that the competence of employees is a factor for transfer of any business to digitalization. This policy of the employer will allow to cover for low-quality job cut and give personnel the minimum knowledge that makes it possible to acquire information on modern information technologies, be able to use it to solve the set problems and have necessary skills and technology, which will facilitate solution of the problems. Ultimately, these are tools to achieve the tasks set by the state in the framework of the state's defensive capability and competitiveness. At the same time, the lack of normative methodologies for the creation and operation of employee digital profiles and comprehensive scientific research predetermine increasing risks of violation of personal data of employees, privacy of employees, as well as discrimination in making legally significant decisions. Today there are no normative standards of data processing and system interaction, which leads to the diminution of guarantees of employees' rights in terms of respect for personal data and other data in terms of classified information.

Vladimir N. Shaidurov

At the turn of the 19th and 20th centuries, Siberia once again became a “melting pot” that brought together representatives of diverse ethnic groups. The reasons for migration beyond the Urals were predominantly economic. This article examines how various social events in the first third of the 20th century affected the lives of Siberian Germans. Amid the agrarian crisis, Russian Germans engaged in agriculture were compelled to seek ways to survive within Russia. The modernization of the state resettlement policy in the early 20th century and the expansion of rail transport created favorable conditions for labor migration, as a result of which, by the mid-1910s, Siberia had become one of the most rapidly developing agrarian regions. German settlers played no small part in this process by establishing capitalist family-farm enterprises that served as models for Russian old-settlers and other migrants. The events of 1914–1922 disrupted the established rhythms of German rural life. The economic policies of the Bolsheviks who came to power precipitated famine in the first half of the 1920s. The German population suffered as well, which fueled growing emigration sentiment. Even so, the New Economic Policy (NEP) and the revival of cooperatives enabled a rapid recovery of small-scale commodity production. The All-Russian Mennonite Agricultural Union played an important role in this process. The gradual rollback of the NEP and the shift to a command-administrative economic model brought increasing pressure to bear on the German population, among which conservative-clerical sentiments predominated. By the late 1920s, this would trigger a new round of confrontation between Russian Germans and the Soviet state. This article will interest readers concerned with the history of ethnic minorities (Russian Germans) and nationalities policy in the 20th century.

Alex Farach, Alexia Cambon, Jared Spataro

As the digital economy grows increasingly intangible, traditional productivity measures struggle to capture the true economic impact of artificial intelligence (AI). AI systems capable of cognitive work significantly enhance productivity, yet their contributions remain obscured within the residual category of Total Factor Productivity (TFP). This paper explores whether it is time for a conceptual shift to explicitly recognize "digital labor," the autonomous cognitive capability of AI, as a distinct factor of production alongside capital and human labor. We outline the unique economic properties of digital labor, including scalability, intangibility, self-improvement, rapid obsolescence, and elastic substitutability. By integrating digital labor into growth models (such as those by Solow and Romer), we demonstrate strategic implications for business leaders, including new approaches to productivity tracking, resource allocation, investment strategy, and organizational design. Ultimately, treating digital labor as an independent factor offers a clearer view of economic growth and helps organizations manage AI's transformative potential.

Janneke Pieters, Ana Kujundzic, Rulof Burger et al.

Technological change can have profound impacts on the labor market. Decades of research have made it clear that technological change produces winners and losers. Machines can replace some types of work that humans do, while new technologies increase human's productivity in other types of work. For a long time, highly educated workers benefitted from increased demand for their labor due to skill-biased technological change, while the losers were concentrated at the bottom of the wage distribution (Katz and Autor, 1999; Goldin and Katz, 2007, 2010; Kijima, 2006). Currently, however, labor markets seem to be affected by a different type of technological change, the so-called routine-biased technological change (RBTC). This chapter studies the risk of automation in developing country labor markets, with a particular focus on differences between men and women. Given the pervasiveness of gender occupational segregation, there may be important gender differences in the risk of automation. Understanding these differences is important to ensure progress towards equitable development and gender inclusion in the face of new technological advances. Our objective is to describe the gender gap in the routine task intensity of jobs in developing countries and to explore the role of occupational segregation and several worker characteristics in accounting for the gender gap.

ATM Mizanur Rahman, Sharifa Sultana

Platform laborers play an indispensable yet hidden role in building and sustaining AI systems. Drawing on an eight-month ethnography of Bangladesh's platform labor industry and inspired by Gray and Suri, we conceptualize Ghostcrafting AI to describe how workers materially enable AI while remaining invisible or erased from recognition. Workers pursue platform labor as a path to prestige and mobility but sustain themselves through resourceful, situated learning - renting cyber-cafe computers, copying gig templates, following tutorials in unfamiliar languages, and relying on peer networks. At the same time, they face exploitative wages, unreliable payments, biased algorithms, and governance structures that make their labor precarious and invisible. To cope, they develop tactical repertoires such as identity masking, bypassing platform fees, and pirated tools. These practices reveal both AI's dependency on ghostcrafted labor and the urgent need for design, policy, and governance interventions that ensure fairness, recognition, and sustainability in platform futures.

Tiago Fávero de Oliveira, Breno Apolinário da Silva

O objetivo deste estudo é analisar como a mudança tecnológica altera processos produtivos e educativos. O texto aponta que, apesar do apelo de modernização e inovação, a difusão de tecnologias de inteligência artificial altera a relação entre linguagem e pensamento, produzindo uma educação tecnobancária cujos efeitos geram submissão, dominação, exploração e universalização de um pensamento único. O artigo parte das análises de Marx sobre a maquinaria e se desenvolve apontando alterações, contradições e desafios sobre o tema. Ao final, são apresentados caminhos para o enfrentamento da questão no sentido de gerar uma educação comprometida com os interesses de emancipação da classe dominada. Palavras-chave: Educação tecnobancária; Inteligência Artificial; Educação.

Lia Tiriba, Jacqueline Botelho, Adriana Barbosa

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Alberto Acosta

Atrás quedan las promesas del “desarrollo”, nutridas de uno de los corazones de la Modernidad: el “progreso”. En la vorágine, estamos abocados a replantearnos el tema del trabajo y del ocio. Se ha transformado el fenómeno del “ocio”, para expresar libertad y autonomía en un espacio mercantil de la vida misma. El “ocio mercantil” es reflejo de un mundo “mal desarrollado”, donde “trabajo” y “ocio” terminan igualmente alienados a la acumulación del capital. Pero no todo es desalentador. Hay reflexiones y acciones que demandan la construcción de sociedades radicalmente distintas. Palabras clave: Modernidad, Desarrollo, Progreso, Ocio y Trabajo.

Pegah Moradi, Karen Levy, Cristobal Cheyre

Self-service machines are a form of pseudo-automation; rather than actually automate tasks, they offset them to unpaid customers. Typically implemented for customer convenience and to reduce labor costs, self-service is often criticized for worsening customer service and increasing loss and theft for retailers. Though millions of frontline service workers continue to interact with these technologies on a day-to-day basis, little is known about how these machines change the nature of frontline labor. Through interviews with current and former cashiers who work with self-checkout technologies, we investigate how technology that offsets labor from an employee to a customer can reconfigure frontline work. We find three changes to cashiering tasks as a result of self-checkout: (1) Working at self-checkout involved parallel demands from multiple customers, (2) self-checkout work was more problem-oriented (including monitoring and policing customers), and (3) traditional checkout began to become more demanding as easier transactions were filtered to self-checkout. As their interactions with customers became more focused on problem solving and rule enforcement, cashiers were often positioned as adversaries to customers at self-checkout. To cope with perceived adversarialism, cashiers engaged in a form of relational patchwork, using techniques like scapegoating the self-checkout machine and providing excessive customer service in order to maintain positive customer interactions in the face of potential conflict. Our findings highlight how even under pseudo-automation, workers must engage in relational work to manage and mend negative human-to-human interactions so that machines can be properly implemented in context.

Federica Mascolo, Nora Bearth, Fabian Muny et al.

Active labor market policies are widely used by the Swiss government, enrolling over half of all unemployed individuals. This paper evaluates the effectiveness of Swiss programs in improving employment and earnings outcomes using causal machine learning and rich administrative data on unemployed individuals in 2014 and 2015, including detailed labor market histories and other covariates. The findings for Swiss citizens and immigrants with permanent residency indicate a small positive average effect of a Temporary Wage Subsidy program on employment and earnings in the third year after program start. In contrast, Basic Courses, such as job application training, exhibit negative effects on both outcomes over the same period. No significant impacts are found for Employment Programs conducted outside the regular labor market or for Training Courses such as language or computer classes. The programs are most effective for individuals with a non-EU migration background, while Temporary Wage Subsidies also benefit those with lower educational attainment. Finally, shallow policy trees provide practical guidance for improving the targeting of program assignments.

Povilas Lastauskas, Julius Stakėnas

Do labor market policies initiated in periods of loose monetary policy yield different outcomes from those introduced when monetary tightening prevails? Using data from 11 euro-area members up to 2010 -- and extending to 17 countries up to 2020 -- we analyze three labor market policies: replacement rates, spending on active labor market policies (ALMPs), and employment protection. We find that these policies deliver different macroeconomic outcomes in low- and high-interest rate environments. In particular, ALMPs reduce unemployment if implemented under a loose monetary policy but not otherwise, whereas higher employment protection delivers expansionary effects under a tight monetary policy. These findings highlight that the effectiveness of labor market policies is significantly influenced by the monetary policy environment, emphasizing the need for coordinated policy design. Methodologically, we contribute by proposing to average local projections using Mallow's $C_{p}$ criterion, allowing for inferences that are robust to mis-specification and accommodate non-linearities.

Marjan Petreski, Stefan Tanevski, Alejandro D. Jacobo

Using a Taylor rule amended with official reserves movements, we derive country-specific monetary shocks and employ a local projections-estimator for tracking gender-disaggregated labor-market responses in 99 developing economies from 2009 to 2021. Results show that women experience more negative post-shock employment responses than men, contributing to a deepening of the gender gaps on the labor market. After the shock, women leave the labor market more so than men, which results in an apparently intact or even improved unemployment outcome for women. We find limited evidence of sector-specific reaction to interest rates. Additionally, we identify an intense worsening of women-s position on the labor market in high-growth environments as well under monetary policy tightening. Developing Asia and Latin America experience the most significant detrimental effects on women's employment, Africa exhibits a slower manifestation of the monetary shocks-impact and developing Europe shows the mildest effects.

Jun Dai, Guanqing Shi, Xiaoke Xie et al.

Chinese-style modernization involves the modernization of a large population, requiring top-level design in terms of scale and structure. The population perspective in Xi Jinping's Thought on Socialism with Chinese Characteristics for a New Era serves as the fundamental guide for population policies. The three-child policy and delayed retirement will affect the supply of labor in China and challenge the previous assessments of China's Lewis Turning Point. This study examines the rural surplus labor transfer from 2013 to 2022 based on urban and rural data. The results indicate that China's overall wage levels have continuously increased, the urban-rural income gap has narrowed, and the transfer of surplus rural labor has slowed. China has passed the first turning point and entered a transitional phase. Factors such as the level of agricultural mechanization, urbanization rate, and urban-rural income gap are more significant in influencing the transfer of surplus labor than the normal working-age population ratio. The delayed retirement policy has a more immediate impact on the supply and transfer of rural surplus labor than the three-child policy. Additionally, delayed retirement can offset the negative impact of the reduced relative surplus labor supply caused by the three-child policy, although the three-child policy could increase the future absolute surplus labor supply.

Adena R. Rissman, Ana Fochesatto, Erin B. Lowe et al.

Perennial grasslands, including prairie and pasture, have declined with tremendous environmental and social costs. This decline reflects unequal policy support for grasslands and managed grazing compared to row crops. To create a resource for community partners and decision-makers, we reviewed and analyzed the policy tools and implementation capacity that supports and constrains grasslands and managed grazing in the U.S. Upper Midwest. Risk reduction subsidies for corn and soybeans far outpace the support for pasture. Some states lost their statewide grazing specialist when the federal Grazing Lands Conservation Initiative lapsed. The United States Department of Agriculture, Natural Resources Conservation Service support for lands with prescribed grazing practices declined after 2005 but remained relatively steady 2010–2020. These results reveal the policy disadvantage for grasslands and managed grazing in comparison with row crop agriculture for milk and meat production. Grassland and grazing policies have an important nexus with water quality, biodiversity, carbon and outdoor recreation policy. Socially just transitions to well-managed, grazed grasslands require equity-oriented interventions that support community needs. We synthesized recommendations for national and state policy that farmers and other grazing professionals assert would support perennial grasslands and grazing, including changes in insurance, conservation programs, supply chains, land access, and fair labor. These policies would provide critical support for grass-based agriculture and prairies that we hope will help build soil, retain nutrients, reduce flooding and enhance biodiversity while providing healthy food, jobs, and communities.

Malganova I. G., Dokhkilgova D. M., Saralinova Dzh. S.

The relevance of the issue considered in the article lies in the fact that the structure of labor resources is a determining factor in the economic life of both a single territory and the entire state. At the same time, the formation and characteristics of labor resources are influenced by the economic and social policy of the state, its regulatory activities in the labor market, the amount of payment for the work performed, the demographic situation, and the level of qualification. The article analyzes differences in the structure of labor resources, qualitative and quantitative characteristics in regions such as the Chechen Republic and the Republic of Tatarstan.

T.А. Zaitseva, V.V. Orlova

Relevance. Ensuring employment and promoting professional development of young specialists is one of the main directions of the state youth policy of the Russian Federation. The task of stabilizing the labor market is reflected in social policy of the state, as these indicators also affect the macroeconomic development of the country. However, assessment of the employment of university graduates and their behavior in the labor market demonstrates their low awareness in choosing a profession. This situation affects the formation of control figures for admission of applicants to budget and paid places in universities, the economic component of the country, the inexpedient costs of the state for a certain percentage of young professionals. In the current conditions, the correlation of these indicators is likely to be negative. Aim. To update the authors' career guidance system for youth for comprehensive training of university students and improving the efficiency of their employment with the possibility of its implementation in universities. Methods. Analysis of literature and sources on the research topic, comparative analysis, retrospective analysis of information, closed formalized anonymous survey, pilot testing of the system. Results. The authors have studied the employment of graduates of three Tomsk universities, the situation on the labor market in Russia, in some aspects in the Tomsk region. It is proved that the problem of effective employment is relevant and attracts the attention of the government. The authors updated their career guidance system, which has already been partially implemented in the work of the Tomsk State University of Control Systems and Radioelectronics Career Center. The paper introduces the recommendations for implementing the system. Conclusions. The proposed system can be used at Russian universities. This will improve the quality of employment of young professionals, and therefore the stability of the labor market and the economic and social components of state policy.

M. A. Burda

The article considers migration processes in the post-Soviet space, relative to the Russian Federation, as the main center of migration attraction. Empirical data are introduced into scientific circulation, characterizing some migration indicators in 2022 on the basis of which the features of external labor migration to Russia are revealed. The author analyzes quantitative and qualitative indicators of external migration on the basis of not only statistical data, but also regulatory legal acts, which makes it possible to determine the ratio of migration needs and migration challenges faced by Russian society, which generally negatively perceives the migration model implemented in the state. The conclusion proposes measures that allow, according to the author, to increase the effectiveness of the implemented state migration policy and reduce the conflict potential of external migration.