Against Techno-Feudalism in Academia: Reclaiming Scholarly Autonomy in the Age of AI

Abstract

Generative artificial intelligence, equipped with deep reasoning capabilities, is fundamentally reshaping academic research paradigms. Adopting the perspective of techno-feudalism, this study scrutinizes how digital platforms discipline and erode academic autonomy through mechanisms of data rent extraction, algorithmic behavioral steering, and entrenched path dependence. In response to this challenge, this article explores the potential foundations for maintaining the independence of human intelligence in an algorithmic age. We propose the concept of the “academic nomad” as an ideal subject archetype capable of navigating technology while maintaining a balance between human and machine intelligence. To reclaim academic autonomy, this research develops a synergistic framework for resistance encompassing macro-level institutional provision, meso-level transparent governance, and micro-level individual identity redemption. By establishing clear ethical boundaries for human–machine collaboration, ensuring equitable mechanisms for rights distribution, and enhancing the critical digital literacy of scholars, we aim to foster a new knowledge order grounded in technological negotiation rather than unilateral dependence.