Theoretical model demonstrates an algorithmic feedback controller for sequencing labor automation, indicating a method to optimize economic efficiency and human potential.
The degree of automation - which historically tends to rise and represents the replacement of economic labor with technical operations - is increasingly realized through software rather than hardware. This has a significant impact on the system of the division of labor, which, as part of the economic system, has a relevant function for economic development. This leads to the question of how a controlled or regulated automation of economic labor could be implemented to support the objective of a sustainable, socio-economic development of a human or collective system. To address this, the concept of feedback control-based automation is introduced, and a political-economic algorithm is proposed that - based on labor evaluation, economic sector ranking, techno-economic automation effectiveness, and psychological principles - functions as a collective feedback control process, or more precisely, a controller. This controller determines in which sector, under which conditions, and in what sequence economic labor should be automated, whereby this has to be naturally in accordance with the relatively progressive human needs and states of consciousness.The proposed algorithm provides a new opportunity to reduce economic inefficiency and ineffectiveness while optimally harnessing the skills and potential for competence development of individuals, thereby contributing to systemic sustainability. With established theoretical foundations, the next step can be the real-world implementation of the political-economic algorithm to assess its objective utility on the economic system.
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Eren (2026) studied this question.
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