Data Collectives Are the Next Frontier of Labor Relations.

This article explores the tensions between executives and white-collar workers regarding the impact of AI on jobs and the future of work. It uses the Writers Guild of America strike as an example of workers asserting their influence on AI-related issues. The article suggests that data cooperatives, such as Swash and Gener8, could be a solution by allowing individuals to pool their data and gain bargaining power with companies analyzing their data. It emphasizes the importance of human input in generating new data for AI and proposes that data cooperatives can align the needs of employers and employees. By aggregating data from diverse sources, data cooperatives can lead to the development of new products, services, and business models. Workers who see the monetization of their data are more likely to improve their data collection processes, resulting in better AI outcomes and higher incomes. Data cooperatives operate like providers of training data and empower workers by allowing them to establish shared rules for data use. The article concludes by suggesting that employers and employees should raise their level of data literacy and incorporate data cooperative clauses in employment contracts to shape the future of the digital economy. It emphasizes the importance of workers in keeping AI relevant and encourages business leaders to understand the relationships between capital, labor, and data in order to propose collaborative frameworks for organizations to thrive in the age of AI. [Extracted from the article]