We are excited to share an important milestone in our research: the publication of a new article just published in a special issue of the journal Globalizations by DiPLab co-founder Paola Tubaro, introducing and developing the concept of the “dual footprint”: the idea that every digital process leaves both a data work imprint and a material, environmental one. The impacts of artificial intelligence on the natural and social surroundings that supply resources for its production and use have been studied separately so far. Tubaro employs the “dual footprint” as a heuristic device to capture the commonalities and interdependencies between them. She uses two in-depth case studies – international flows of raw materials and of data work services between Argentina and the United States on the one hand, and between Madagascar, France and East Asia on the other. They portray the AI industry as a value chain that spans national boundaries and perpetuates inherited global inequalities. The countries that drive AI development, mostly in the Global North, generate a massive demand for inputs and trigger social costs that, through the value chain, largely fall on more peripheral actors. The arrangements in place distribute the costs and benefits of AI unequally, resulting in unsustainable practices and preventing the upward mobility of more disadvantaged countries. If you want to cite this article: > Tubaro, P. (2025). The dual footprint of artificial intelligence: > environmental and social impacts across the globe. Globalizations, 1–18. > https://doi.org/10.1080/14747731.2025.2589571 You can access the preprint version here: DualFootprint_12072025Download The dual footprint grasps how the environmental and social dimensions of AI production emanate from similar underlying socio-economic processes and geographical trajectories. This framework helps us better understand the true costs of digitalization and the global inequalities it reproduces. It also constitutes the foundation of SEED – Social and Environmental Effects of Data Connectivity, a new project that investigates how data extraction and material extraction are deeply interconnected. It stems from a collaboration with the Núcleo Milenio FAIR at the Pontificia Universidad Católica de Chile and compares data and material infrastructures between Europe and South America.

Succede che quando si spegne una luce, altre si accendano. Per rimediare al buio, innanzitutto. Ma anche perché prende avvio una sorta di trasmissione di energia e di afflati vitali, di propagazione e diffusione di potenza. Come nei vasi comunicanti, il contenuto non sparisce ma viceversa tracima e si distribuisce. Eravamo sulle scale di [...]

At the WORK2025 conference in Turku, Finland, DiPLab co-founders Antonio Casilli and Paola Tubaro presented the results of their ongoing research documenting the human labor networks that power artificial intelligence systems worldwide. Casilli’s keynote (video 00:29-1:36:00), “Where does AI come from? Global circulation of data and human labor behind automation,” emphasized that AI systems are fundamentally built upon hidden human labor—specifically digital annotation, verification, transcription, moderation, and impersonation of data. This labor is fragmented, precarious, and carried out through digital platforms, predominantly by workers in the Global South who remain unrecognized in dominant AI discourses. Casilli presentation starts with an excerpts from the documentary In the Belly of AI (co-written with Julien Goetz and directed by Henri Poulain), describing the working conditions of women annotating data and producing AI from Finnish prisons for 3 euros per day. In the rest of his keynote speech, drawing from the decade-long research of the DiPLab program, Casilli explored how data work is organized across Africa, Asia, Latin America, as well as Europe and North America, revealing models that support different types of data tasks while reinforcing enduring inequalities in wages, job security, and working conditions that particularly affect Global South workers. He highlighted the increasingly convoluted nature of these supply chains involving several intermediaries—from global tech firms to local freelancers—spanning continents, making it extremely challenging to trace accountability and working conditions. Tubaro’s presentation, “Women in the loop: the gendered contribution of data workers to AI,” examined who actually performs this crucial but undervalued work, focusing on women’s participation as the market has expanded. While data work appears theoretically well-suited for women since it can be performed remotely from home and platforms generally limit direct gender discrimination, statistical evidence reveals mixed patterns with women exceeding 50% of data workers in only four documented cases. Her research showed that in crisis-stricken countries like Venezuela, international platforms attract highly qualified workers in fierce competition, often dominated by young men with STEM backgrounds who crowd out women constrained by care responsibilities or fewer technical qualifications. Conversely, in more dynamic economies like Brazil, local job markets absorb highly skilled professionals, leaving platform work to more disadvantaged groups where women with family duties become more visible. This creates a paradox where women may be equally educated but lack time to cultivate advanced STEM skills, and as platforms demand longer, more specialized tasks, men increasingly gain advantages even in countries where women were once the majority. Both presentations converged on a critical insight: platform design treats workers as abstract entities, stripped of socio-economic and cultural contexts that shape real inequalities, while competition combined with local conditions deepens gender and regional disparities. sq

DiPLab researchers Paola Tubaro and Antonio Casilli recently completed a research mission to Santiago, Chile, participating in key academic events that advanced understanding of artificial intelligence’s social and environmental dimensions. Tubaro delivered a keynote address at the 4th annual workshop of the Millennium Nucleus on the Evolution of Work (M-NEW), where she serves as a senior international member. The interdisciplinary workshop convened labor scholars from across Latin America and internationally to examine contemporary work transformations. Her presentation drew on DiPLab’s multi-year research program investigating the invisible human labor underlying global AI production. Tubaro’s analysis traced the evolution of this work form over two decades, demonstrating that while core functions in smart system development have remained consistent, the scope and volume of these tasks have expanded significantly. Tubaro and Casilli also participated in the inaugural meeting of SEED (“Social and Environmental Effects of Data connectivity: Hybrid ecologies of transoceanic cables and data centers in Chile and France”), a new collaborative research project between DiPLab and the Millennium Nucleus FAIR (“Futures of Artificial Intelligence Research”). The project has received joint funding from the ECOS-SUD programme (France) and ANID (Chile) to analyze the complete AI value chain, examining production, development, employment impacts, usage patterns, and environmental consequences through comparative study of the Valparaíso-Santiago de Chile and Marseille-Paris corridors. In their SEED presentations, Tubaro and Casilli introduced the concept of the “dual footprint” as an analytical framework for understanding the interconnected environmental and social impacts of AI systems. This heuristic device captures commonalities and interdependencies between AI’s effects on natural and social environments that provide resources for its production and deployment. DiPLab researchers framed the AI industry as a transnational value chain that perpetuates existing global inequalities. Countries driving AI development generate substantial demand for inputs while externalizing social costs through the value chain to more peripheral actors. These arrangements distribute AI’s costs and benefits unequally, resulting in unsustainable practices and limiting upward mobility for disadvantaged countries. The dual footprint framework demonstrates how environmental and social dimensions of AI emerge from similar structural dynamics, providing a unified approach to understanding AI’s comprehensive impact on global resource systems.

On 16-17 May 2025, DiPLab’s Paola Tubaro was invited by the French Institute in Argentina to participate in its landmark event “Night of Ideas.” At world-famous Teatro Colón in Buenos Aires, she spoke in panels that provocatively questioned the “new voluntary servitude” of platform work and asked whether “in AI we trust?” On 20 May, she gave a talk on “The Future of Work and AI” at the prestigious University of Buenos Aires. She presented some results of her research on digital labor and its role in AI production, developed in the framework of the DiPLab research program. No Caption No Caption No Caption No Caption

DiPLab researcher Paola Tubaro recently completed a research and outreach mission to Argentina, participating in multiple academic and policy events. This mission represents DiPLab’s continued commitment to international research collaboration and knowledge transfer. Through presentations to policy makers, academic audiences, and students, the trip facilitated the dissemination of DiPLab’s research on digital labor, platform economics, and AI governance to diverse stakeholders in the Argentine academic and policy communities. On May 12, Tubaro participated in the conference “Manipulación Informativa e Injerencia Extranjera: Desafíos Globales y Respuestas Democráticas,” organized by the European Union Delegation in Argentina in collaboration with several embassies, including France. In the panel “Cómo contrarrestar la desinformación respetando la libertad de expresión y el derecho a la información,” Tubaro presented research findings on the economic mechanisms underlying disinformation, specifically examining how advertising markets sustain false information dissemination across digital platforms. She addressed the regulatory challenges surrounding these markets and discussed the role of scientific research in developing evidence-based policy responses, referencing ongoing work within the EU-funded AI4TRUST project. On May 13, Tubaro delivered presentations on internet disinformation to journalism students at two Argentine institutions: Universidad Nacional de Avellaneda and Universidad Abierta Interamericana,. These sessions focused on the intersection of digital platforms, information verification, and journalistic practice in the contemporary media landscape. During May 16-17, Tubaro participated in three panels within the “Noche de las Ideas” program, an annual initiative of the French Institute held at Teatro Colón in Buenos Aires. The 2024 theme was “El poder de actuar” (The Power to Act). Her contributions included: the opening session addressing the annual theme, a panel discussion “¿Nuevas servidumbres voluntarias? Jóvenes y precariedad” examining digital platform labor conditions and youth employment, and the panel “‘In A.I. we trust?’ Actuar con y en contra de las nuevas tecnologías” analyzing artificial intelligence governance and regulation On May 20, Tubaro presented “Universidad Nacional de Avellaneda y en la Universidad Abierta Interamericana,” (The Future of Work and AI) as part of the UBA Digital lecture series at Universidad de Buenos Aires. The presentation featured research findings from DiPLab’s ongoing investigation into digital labor and its role in artificial intelligence production systems. The session was hosted by the Faculty of Dentistry, which also provided a tour of their clinical facilities.

On May 1st, 2025—Labor Day—France24 hosted a timely televised debate on the fears and opportunities that artificial intelligence presents for workers. Among the guests was Paola Tubaro, co-founder of DiPLab and a researcher at CNRS, who offered a sharp perspective on the discussion. The conversation revolved around a deep contradiction. On one hand, a widespread fear that AI will replace human labor, destabilize job markets, and deepen inequality. Certain jobs—especially those involving routine or precarious tasks—seem to be far more vulnerable than others. On the other hand, AI is also seen as a potential opportunity: the beginning of a “new industrial revolution”, capable of transforming how we work, influencing education, creating new room for social dialogue between employers, governments, and workers. Click here for video Yet Dr. Tubaro urged viewers to go further than surface-level concerns, by shifting the focus toward a more often overlooked question: how AI is produced, and by whom. Behind every “intelligent” machine lies a hidden human infrastructure—thousands of workers labeling data, training algorithms, and moderating online content. These workers, often located in the Global South, remain largely invisible, underpaid, and unprotected. For Tubaro, these workers are among those most overlooked in the AI-driven economy, often bearing the hidden costs of innovation. > “The struggles and union efforts of data workers in the Global South are > especially powerful because they’re not just fighting for better > conditions—they’re putting forward a vision of what AI should be, and what > kind of future it could help us build.” (Paola Tubaro, France24, 1 mai 2025) However, their story does not end there. These same workers are now at the forefront of organizing and resistance, pushing back against the terms of their exploitation and offering alternative visions of an AI-driven world. They are contributing a powerful voice to the global conversation about technology and fairness.

The journal New Technology, Work and Employment just published the article Uninvited Protagonists: The Networked Agency of Venezuelan Platform Data Workers, co-authored by DiPLab’s Paola Tubaro and Juana Torres-Cierpe. New-Technol-Work-Employ-2025-Cierpe-Uninvited-Protagonists-The-Networked-Agency-of-Venezuelan-Platform-Data-Workers Workers in Venezuela are powering AI production, often under tough conditions. Sanctions and a deep political-economic crisis have pushed them to work for platforms that pay in US dollars, albeit at low rates. They constitute a large reservoir for technology producers from rich countries. But they are not passive players. They build resilience, rework their environment, and sometimes engage in acts of resistance, with support from different segments of their personal networks. From strong local ties to loose online connections, these informal webs help them cope, adapt, and occasionally push back. Their diversified relationships comprise an unofficial and often hidden, albeit largely digitised relational infrastructure that sustains their work and shapes collective action. These findings invite to rethink agency as embedded in workers’ personal networks. To respond to adversities, one must liaise with equally affected peers, with family and friends who offer support, etc. Social ties ultimately determine who is enabled to respond, and who is not; whether any benefits and costs are shared, and with whom; whether any solution will be conflictual or peaceful. Social networks are not accessory but constitute the very channel through which Venezuelan data workers cope with hardship. Not all relationships play the same role, though. Venezuelans discover online data work through their strong ties with family, close friends, and neighbours. To convert their online earnings into local currency, they rely on their broader social networks of relatives and friends living abroad and indirect relationships with intermediaries. For managing their day-to-day activities, Venezuelans expand their social networks through online services like Facebook, WhatsApp, and Telegram, connecting with diverse and less-close peers within and outside the country. Different social ties affect the various stages of the data working experience. Overall, no Venezuelan could work alone – and the networked interactions that sustain each of them against hardship have made them massively present, as ‘uninvited protagonists,’ in international platforms. Their massive presence in the planetary data-tasking market is a supply rather than demand-driven phenomenon. This analysis also sheds light on the reasons why mobilisation is uncommon among platform data workers. Other studies noted diverging orientations of workers, unclear goals, lack of focus, and insufficient leadership. Another powerful reason hinges upon the predominance of weak ties in building up online group membership: indeed, distant acquaintances are insufficient to prompt people to action if their intrinsic motivations are low. The article is available in open access here.