Antonio Casilli, professor and researcher at DiPLab, appeared in a recent episode of Le Iene, Italy’s well-known investigative television program, as part of an in-depth report on the working conditions of people who train artificial intelligence systems in Nairobi, Kenya. The report focuses on the human infrastructure behind AI technologies: […]

DiPLab is proud to announce the publication of our latest research report: Data Work in Egypt: Who Are the Workers Behind Artificial Intelligence? This new study, led by Dr. Myriam Raymond with Lucy Neveux, Prof. Antonio A. Casilli, and Dr. Paola Tubaro, provides the first comprehensive examination of Egyptian data workers training AI systems for tech giants worldwide. How to cite this report: > Myriam Raymond, Lucy Neveux, Antonio A. Casilli, Paola Tubaro (2025). “Data > Work in Egypt. Who are the Workers Behind Artificial Intelligence”. DiPLab > Report. <https://hal.science/hal-05417930> > > Tweet Rapport DiPLab Egypte-DefcDownload KEY FINDINGS AT A GLANCE Our survey of over 600 Egyptian platform workers reveals a troubling reality: * Three-quarters depend on platform income to pay their bills * Average monthly earnings: $58.76 (less than half Egypt’s minimum wage of $147) * Hourly rate: $1.22 (compared to global average of $4.43 in 2018) * 76% identify as men, 74% are between 18-34 years old * 60% hold bachelor’s degrees in science or technical fields * 83% work on platforms out of financial necessity Both male and female data workers tend to be younger than the general Egyptian workforce A WORKFORCE IN CRISIS While Silicon Valley celebrates AI breakthroughs, our research exposes the human cost behind these innovations. Egyptian workers perform essential tasks—labeling images, transcribing audio, evaluating content, annotating data—that train machine learning models used globally. Yet they earn poverty wages for skilled work requiring technical knowledge and multilingual literacy. “We were struck by the contradiction,” says lead researcher Dr. Myriam Raymond. “These are highly educated individuals—60% hold bachelor’s degrees in science or technical fields—yet they’re earning $1.22 per hour on average, working for global tech companies that profit enormously from their labor.” Our data reveals severe income volatility. Rather than providing stable supplemental income, platform work traps Egyptian workers in a cycle of precarity: Most workers experience volatile or extremely volatile income, with earnings fluctuating dramatically month to month When we asked how workers used their last month’s platform earnings, the results were stark: the overwhelming majority spent their income immediately on rent, food, and clothes. Only a tiny fraction had the financial security to use earnings for hobbies or savings. Platform work serves as a lifeline rather than a source of financial flexibility CONDITIONS WORSE THAN SEVEN YEARS AGO Comparing our findings with the International Labor Organization’s 2018 global study reveals a disturbing trend: conditions for data workers have deteriorated significantly. * Increased education requirements: 70% now hold bachelor’s degrees vs. 57% globally in 2018 * Hourly rates dropped 72%: from $4.43 (2018 global average) to $1.22 (Egypt 2025) * Workforce demographic shift: from married adults with children to precarious single young people OUR RECOMMENDATIONS DiPLab’s report concludes with actionable policy recommendations: For Governments: * Improve measurement of data work in official statistics * Promote financial inclusion for platform workers * Simplify activity registration to encourage formalization * Ensure social security coverage For Platforms: * Implement transparent payment systems with minimum wage requirements * Disclose task allocation criteria clearly * Establish fair conflict resolution mechanisms * Provide dedicated worker support

Italy’s national broadcaster Rai 1 has shined a light on a crucial but often overlooked aspect of artificial intelligence in their program “Codice.” Their recent report reveals the essential truth: AI is built on real human work. As you might expect, this report bears the fingerprints of our team at DiPLab Rai 1, with DiPLab’s co-founder Antonio Casilli being interviewed among the experts of AI supply chains.

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.