CONCEPT
Algorithmic Meta-Capital
Symbolic power that operates across fields by controlling the algorithmic mechanisms distributing visibility and relevance — a form of capital concentrated in platform owners, shaping consecration criteria at computational scale.
Algorithmic meta-capital is the power to determine what is seen, what is recommended, and what is valued across multiple fields simultaneously through the control of algorithmic infrastructure. Unlike traditional forms of capital that operate within a single field, meta-capital operates on the architecture of fields themselves — shaping the criteria by which agents are sorted, the pathways through which recognition circulates, the standards that determine whose work is visible and whose is buried. The companies that build and control AI platforms hold this form of capital at unprecedented concentration. They set the parameters of recommendation algorithms, the training objectives of language models, the default behaviors of widely deployed tools. These design choices are presented as technical optimizations but function as political decisions about the distribution of attention, resources, and symbolic capital.
In The You On AI Field Guide
The concept of algorithmic meta-capital extends Bourdieu's framework into the domain of computational mediation. Traditional gatekeepers — university admission committees, gallery curators, venture capital partners