The Organization of Work within a New Institutional Architecture

This paper proposes an alternative institutional model for organizing the labor market, grounded in three interrelated elements: the functional autonomy of the economic actors involved, contractual–procedural coordination, and the use of artificial intelligence in a strictly assistive role. These elements are treated as components of a unified structure, in which the functioning of each depends on its relation to the others. Functional autonomy refers to the capacity of actors to make decisions relevant to their activities and to adapt execution in response to context, within the limits of an explicit procedural framework. Contractual–procedural coordination designates the organization of interactions through rules, agreements, and verifiable procedures, without recourse to direct hierarchical control. Assistive artificial intelligence is employed exclusively as cognitive and operational support, without substituting human decision-making. In the context of the limitations associated with dominant organizational frameworks—whether hierarchical or algorithmic—the research examines the possibilityof reconciling systemic efficiency with the cognitive protection and well-being of actors involved in the labor process. This reconciliation is articulated without resorting to mechanisms of extensive surveillance or forms of automated decision-making control. The issue is not located at the level of the technology itself, but at the level of how relationships between actors are structured and how the decision-making process is organized. The proposed model approaches work organization through a staged analysis of the actors involved, following the sequence of processes that structure the professional relationship: the initiation of the relationship, search and recruitment activities, and the configuration and execution of operational scenarios. Within this framework, the first level of the architecture is represented by a digital service platform with an institutional role, designed as an infrastructure for the initial mediation between labor supply and demand, operating at scale. The platform facilitates the flexible allocation of activities, ensures procedural traceability of interactions, and contributes to the clear delineation of roles between the technological infrastructure and the contractual parties involved. Explicitly, it does not exercise decision-making functions over the content of activities and does not substitute the actors involved; rather, it establishes the procedural framework within which they operate. Within the proposed architecture, assistive artificial intelligence is integrated exclusively as an operational support tool, intended to support activities and clarify the distribution of responsibilities without substituting human decision-making. The model explicitly distinguishes between the use of technology as support and its use as a decision-making mechanism, maintaining decision authority within the sphere of human actors and excluding its externalization to technological systems. The functioning of the model is based on the structural separation of three distinct levels: the decision-making level, the execution level, and the technological support level. Artificial intelligence provides cognitive and procedural support, human actors perform decision-making, and execution takes place within procedurally defined rules. This separation prevents the implicit transfer of control and enables coordination without reliance on hierarchical control. At the same time, work organization is oriented toward maximizing individual autonomy and adaptability in the context of transformations generated by artificialintelligence in the labor market. Autonomy is not treated as the absence of coordination, but as a form of action compatible with explicit and verifiable rules. The analysis suggests that this institutional framework may contribute to mitigating certain dysfunctions of the labor market, such as the loss of autonomy, income volatility, and the high costs associated with support structures and extended hierarchical mechanisms. This mitigation is achieved through the redistribution of responsibilities to the actors involved, increased procedural transparency, and the reduction of opaque intermediation. The model supports increased responsibility and engagement among economic actors, as well as the strengthening of economic sustainability through a clearer distribution of roles and obligations. Within this structure, the emergence of a distinct type of economic actor—integrated into the institutional infrastructure and accountable for assumed outcomes—indicates the model’s potential to function in contexts characterized by uncertainty, without compromising autonomy or the cognitive well- being of individuals. This type of actor is defined through its relation to the procedural framework rather than through integration into a hierarchical structure, marking a distinction between formal status and effective function within the system. The model is not conceived as a universal substitute for existing forms of work organization, but as an alternative applicable in domains compatible with functional autonomy and contractual–procedural coordination. This limitation defines its scope of applicability and prevents unjustified generalization. By integrating technology as cognitive and procedural support, without substituting human decision-making, the paper offers a theoretically grounded and application-oriented framework for organizing work in a manner characterized by flexibility, efficiency, and balance. This framework is compatible with contemporary requirements for performance, stability, and well-being, without implying increased control or reduced autonomy for the actors involved.