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

What does our relationship with work actually mean? This was the central question explored on France 24’s The Debate, where DiPLab’s own Antonio Casilli, Professor of Sociology at Institut Polytechnique de Paris, joined a panel of experts to dissect the evolving landscape of work in an age of AI, gig economies, and generational upheaval. Professor Casilli brought his extensive research on digital labor and platform economies to the conversation, offering crucial context on how technology is reshaping not just what work we do, but how we think about work itself. The debate, facilitated by journalist François Picard, brought together diverse perspectives including Dipty Chander (President of E-mma), Benjamin Chaminade (CEO of Reboot-inc), and economist Gilles Saint-Paul. Alongside Casilli, they explored whether humans should still define themselves by how they earn their keep, and what we can expect as inequality grows and technology accelerates.

DiPLab is proud to announce that the documentary In the Belly of AI, directed by Henri Poulain and co-written by DiPLab’s Antonio Casilli together with Julien Goetz and Lili Fernandez, has been awarded the 44th International URTI (International Radio and Television Union) Grand Prix for Author’s Documentary. This distinction is one of the most prestigious international awards in public broadcasting. It recognizes the depth and urgency of the stories the film brings to light. Based on DiPLab’s long-term research into digital labor and the hidden workforce behind artificial intelligence, In the Belly of AI has already been broadcast across numerous countries, including France, Japan, Canada, Spain, Belgium, and Finland. The URTI Grand Prix gives renewed momentum to the documentary’s global journey, at a time when the themes it explores are becoming more pressing every day. The team extends its gratitude to France Télévisions, whose public service mission remains essential to making such investigations possible, and to Federation Studios, whose international distribution work has allowed the film to reach audiences around the world.

In a recent article on Radio France Internationale (RFI), to which DiPLab’s co-founder Antonio Casilli contributed on behalf of the research group, readers encounter detailed testimonies from AI’s data workers across Kenya, Nigeria, Egypt, Togo, Uganda, Ghana, and South Africa who have performed data annotation and AI-training tasks for companies such as Outlier, Appen, and Mindrift. These stories confirm a structural reality: while generative AI has exploded, it has made AI’s hidden labor more indispensable than ever. Moreover, the working conditions behind the scenes remain precarious. Workers describe how, after years of continuous tasks on online platforms, work has dried up, accounts have been abruptly closed, and only short, unstable tasks remain. Others relate juggling multiple platforms and projects (LLM evaluation, text and image annotation, audio labelling) because earnings from any single platform are not sufficient. Across the African continent, the boom in AI has not reduced human labor needs; on the contrary, as DiPLab’s data shows, the growth of generative systems requires more human re-training and fine-tuning, not less. The testimonies gathered also echo the long history of “digital labor” in Africa: fragmented, piecemeal work distributed by global companies seeking inexpensive and highly flexible labor. The scandals surrounding Sama (a Kenyan company that moderated content for Meta and OpenAI before workers exposed traumatic working conditions) illustrate the human toll: exposure to extreme content, unstable contracts, and pressure to meet performance targets, sometimes for salaries that do not cover basic living expenses. This pressure is also felt in creative domains. Designers and illustrators in African countries report collapsing compensation as generative tools flood the market, while their own creative output is used to train the models that now compete with them. As Casilli notes, creative professionals have been “pulled into the orbit of AI,” both feeding and being displaced by the same systems. The article ultimately highlights a central contradiction of the AI industry: its glamorous narratives depend on a concealed workforce operating under poor conditions. Through ongoing documentation and research, DiPLab aims to ensure that these workers are not forgotten, and that the future of AI is built on fair and transparent labor practices, not disposable digital workers.

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RTS, Switzerland’s national television channel, broadcast a report on data annotation platforms between Europe and Africa. As part of the program “A Bon Entendeur,” journalist Linda Bourget interviewed Antonio Casilli, professor at the Institut Polytechnique de Paris and co-director of DiPLab. > ChatGPT, Gemini, Claude: generative artificial intelligence is all around us. > But the power of this technology relies heavily on humans. Behind these tools > are millions of workers who are never talked about. Who are they? What do they > do? Why are they invisible? A report from Geneva to Nairobi. > > All these tasks outsourced abroad help improve the artificial intelligence we > use here. But you may have noticed that some of the answers provided by tools > such as ChatGPT and others are very local. To achieve this result, annotators > are also recruited in Switzerland. Another face of the precariousness of AI > workers.

DiPLab continues its collaboration with Valori.it, the Italian editorial hub specializing in ethical finance and sustainable economy issues. After Antonio Casilli’s Interview with the Oblò podcast on the risks and fears associated with artificial intelligence, this month we spoke with Unchained about another facet of automation: cashierless stores. Behind the ‘smart’ shop windows and cameras that recognize products, there is in fact an invisible army of ‘data workers’ – often in India or countries where labor is cheap and union protections are weaker – who correct, label, and sometimes mimic the systems to make the experience seem completely automatic.

Has artificial intelligence truly outgrown its “Global South data sweatshop” phase? The recent deluge of “AI tutor” job advertisements on LinkedIn targeting highly qualified candidates with advanced degrees might suggest so. When Sam Altman claims his chatbot is “PhD-level smart,” one might assume this reflects a genuine shift toward elite expertise in AI training. However, groundbreaking investigative reporting published by Africa Uncensored reveals a more troubling reality: these recruitment campaigns represent elaborate investor-facing theatrics rather than meaningful industry evolution. DiPLab applauds the exceptional work of data journalists and Pulitzer Center Artificial Intelligence Accountability fellows Kathryn Cleary and Marché Arends, whose year-long investigation exposed a curious case study in modern AI labor practices. Their research focused on companies like Mindrift and Scale AI’s Outlier, which have been flooding professional networks with advertisements for highly qualified and relatively well-compensated “AI tutors” and “trainers,” primarily targeting workers in high-income countries across North America and Europe. These positions appeared to target elite specialists rather than the typical pool of low-paid data annotators traditionally associated with AI training. The recruitment campaigns seems to suggest that major tech companies, in their aggressive push toward Artificial General Intelligence (AGI), are now seeking only the most brilliant minds to train sophisticated chain-of-thought models. The Africa Uncensored investigation reveals a starkly different reality. Once recruited, these qualified workers—many holding advanced degrees in physics, philology, and other specialized fields—were left idle for months, barely managing to earn double-digit wages. They were essentially serving as props in an elaborate performance of AI progress, carefully staged to impress investors and signal scalability to potential big tech clients. Meanwhile, on platforms targeting workers in the Global South, such as Mindrift’s sister platform Toloka, recruitment for poorly paid microtasks continued under largely exploitative conditions. This parallel system reveals the persistent nature of what researchers have termed “digital sweatshops.” For DiPLab and its research community, these findings represent “old wine in new bottles.” For nearly a decade, DiPLab researchers have been encountering and interviewing data workers who hold Master’s and Doctoral degrees—experts in their own right across diverse disciplines. Many of these highly qualified individuals remain unemployed due to dysfunction in traditional job markets, or find themselves forced to accept data work that neither matches their specialization nor provides adequate compensation. According to DiPLab co-founder Antonio Casilli, interviewed along prof. Edemilson Paranà and dr. Adio Dinika, in the exposé: “This is the biggest waste of social capital in human history. These people would be, should be, destined to the best jobs because they are probably the best and the brightest of their generation.” The mass recruitment strategy serves a specific economic function within what researchers call “labor hedging”—a tactic where companies amass large pools of workers primarily to signal scalability and attract major contracts. As the investigation revealed, Mindrift alone posted over 5,770 job listings across 62 countries in just four months, yet provided minimal actual work opportunities. This approach allows platforms to maintain what they euphemistically term “talent pools”—readily available workforces that can be presented to potential clients as evidence of operational capacity. When a major tech company inquires about access to specialized expertise, these platforms can point to their extensive databases of pre-vetted candidates as proof of their ability to deliver at scale. DiPLab’s research situates these practices within the broader context of platform capitalism surrounding AI development. The current AI boom and the associated recruitment theater serve as crucial signals in this speculative environment. As Casilli noted, “Investors are on LinkedIn too, they see this [mass recruitment], it is a signal for them. This looks more like a communications operation.” These platforms understand that LinkedIn functions not merely as a talent acquisition tool, but as a visibility platform for investor audiences. The courageous reporting by Cleary and Arends, supported by Africa Uncensored, an outlet willing to publish investigations that major US and European media often avoid, highlights the critical need for continued scrutiny of AI labor practices. --------------------------------------------------------------------------------

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.