Data colonialism

The rapid expansion of the AI sector has increased global demand for data annotation and content moderation. Companies outsource data-labeling tasks—such as tagging images, transcribing audio, and classifying text—to workers in low-income countries. Reporting has documented how countries including Kenya, the Philippines, and Venezuela have become hubs for this type of labor, often performed for extremely low wages.{{cite news |last=Hao |first=Karen |last2=Hernández |first2=Andrés P. |title=How the AI industry profits from catastrophe |date=20 April 2022 |work=MIT Technology Review |url=https://www.technologyreview.com/2022/04/20/1050392/ai-industry-appen-scale-data-labels/}}

The rapid expansion of the AI sector has increased global demand for data annotation and content moderation. Companies outsource data-labeling tasks—such as tagging images, transcribing audio, and classifying text—to workers in low-income countries. Reporting has documented how countries including Kenya, the Philippines, and Venezuela have become hubs for this type of labor, often performed for extremely low wages.{{cite news |last=Hao |first=Karen |last2=Hernández |first2=Andrés P. |title=How the AI industry profits from catastrophe |date=20 April 2022 |work=MIT Technology Review |url=https://www.technologyreview.com/2022/04/20/1050392/ai-industry-appen-scale-data-labels/}}

Recent scholarship situates data colonialism within global development dynamics, arguing that data extraction can reinforce structural dependencies between regions and reproduce asymmetries in control over digital infrastructure and knowledge production.{{cite journal |last= |first= |date=2025 |title= |url=https://www.tandfonline.com/doi/full/10.1080/09614524.2025.2609155 |journal=Information Technology for Development |publisher=Taylor & Francis |doi=10.1080/09614524.2025.2609155}} Critics further argue that these practices reproduce neocolonial economic structures: wealthier nations and corporations extract value from workers with limited bargaining power. At the same time, the benefits of AI technologies primarily accrue in the Global North. This dynamic has sparked debates about ethical sourcing of data, digital rights, fair compensation, and global inequalities within the AI economy.

Recent scholarship situates data colonialism within global development dynamics, arguing that data extraction can reinforce structural dependencies between regions and reproduce asymmetries in control over digital infrastructure and knowledge production.{{cite journal |last= |first= |date=2025 |title=Data colonialism and digital sovereignty in the Global South |url=https://www.tandfonline.com/doi/full/10.1080/09614524.2025.2609155 |journal=Information Technology for Development |publisher=Taylor & Francis |doi=10.1080/09614524.2025.2609155}} Critics further argue that these practices reproduce neocolonial economic structures: wealthier nations and corporations extract value from workers with limited bargaining power. At the same time, the benefits of AI technologies primarily accrue in the Global North. This dynamic has sparked debates about ethical sourcing of data, digital rights, fair compensation, and global inequalities within the AI economy.

==See also==

==See also==