The increasing use of data in various parts of the economic and social systems is creating a new form of monopoly: data monopolies. We illustrate that the companies using these strategies, Datalists, are challenging the existing definitions used within Monopoly Capital Theory (MCT). Datalists are pursuing a different type of monopoly control than traditional multinational corporations. They are pursuing monopolistic control over data to feed their productive processes, increasingly controlled by algorithms and Artificial Intelligence (AI). These productive processes use information about humans and the creative outputs of humans as the inputs but do not classify those humans as employees, so they are not paid or credited for their labour. This paper provides an overview of this evolution and its impact on monopoly theory. It concludes with an outline for a research agenda for economics in this space.

翻译：中文摘要：数据在经济与社会系统各领域日益广泛的应用正催生一种新型垄断形态：数据垄断。研究表明，采用这些策略的企业主体——数据主义者——正在挑战垄断资本理论（MCT）既有的定义框架。与传统的跨国企业不同，数据主义者追求的是另一种垄断控制模式：他们旨在垄断数据资源，以供给其日益由算法与人工智能（AI）驱动的生产流程。这类生产过程将人类信息及其创造性产出作为生产原料，却拒绝将相关人类个体界定为雇员，因此既未向其支付劳动报酬，也未承认其劳动贡献。本文系统梳理了这一演变过程及其对垄断理论的影响，最后勾勒出该领域经济学研究的议程框架。