Vol. 23 No. 1s (2026): Volume 23, Number 1s – 2026
Original Article

Moral Algorithms, Cultural Codes, And Computational Power: Axiology, Artificial Intelligence, And The Re-Engineering Of Meaning In Digital Capitalism

Published 2026-01-12

Keywords

  • Artificial Intelligence, Axiology, Digital Capitalism, Moral Algorithms, Computational Power

Abstract

The approach of artificial intelligence (AI) has become a weapon of dominance in digital capitalism that may carve out new ethical values, cultural sense, and power dynamics with the help of algorithms. This study critically examines the interplay of moral algorithms, cultural codes and computational power, through axiology, critical political economy as well as cultural theory in an attempt to re-engraver meaning in modern societies. The alignment of the qualitative thematic and axiological analysis of the scholarly literature, policy frameworks, and written AI applications, enables the study to show that the algorithm systems are always focused on economic and functional values rather than on human-focused ethics. The results indicate that efficiency (9.5/10), profit maximization (9.0/10), and predictability of behavior (8.5/10) are the leading aspects of AI design and implementation whereas such values as fairness (5.0/10), transparency (4.5/10), and human autonomy (4.0/10) are implemented more weakly. The study also shows that algorithms are cultural infrastructures, which define the social visibility, identity formation, and moral norms with high influencing potential in both systems of recommendation and ranking (8.59.0/10). The power of data control and computational power are found to be a key source of power, and data control and algorithmic governance already have a high-intensity score of over 9.0 /10. The study also develops the current concerns by positioning axiology as the core of AI ethics by comparing results with related existing research. It comes to the conclusion that a deep reconsideration of computational power towards dignity, cultural plurality, and democratic responsibility is necessary to have meaningful and just AI systems.