Linguistic Sovereignty in the AI Age: A Systems-Thinking Laboratory with Lessons from the European Union
Abstract The rapid proliferation of generative artificial intelligence fundamentally alters the dynamics of the linguistic environment, introducing unprecedented techno-cognitive pressures on minoritised languages. These technologies actively alter individual behavioral heuristics, accelerating a non-linear phase transition from active language use to terminal digital mummification. Under these shifting dynamics, linguistic retention is no longer a simple cultural choice, but has evolved into a highly complex arena where cognitive load, real-time computational utility, and institutional latencies intricately intertwine, forcing groups and individuals to balance between monolingual convenience and multilingual challenges. Traditional sociolinguistic frameworks are structurally ill-equipped to capture these multi-tempo, non-linear dynamics. To address this limitation, this paper conceptualises language habitats as complex adaptive systems and deploys a qualitative Causal Loop Diagram (CLD) that bridges technological infrastructure and macro-institutional interventions with micro-level cognitive personal pressures. The study indicates that the long-term resilience of minoritized language habitats depends on establishing a dynamic multilingual equilibrium that balances local cultural retention with global technological integration. Crucially, the optimal balance between a global lingua franca and local linguistic diversity remains fundamentally open and unpredictable. To counter suboptimal systemic homogenization within this uncertain landscape, we outline a strategic, two-tier language-centric sovereign AI architecture for the European Union. Rather than a passive cultural preservation effort, this collective computational infrastructure operates as an active technological shield and foundational evolutionary insurance for global cognitive diversity. Version 1.0 – Preprint, June 2026
Authors
- Cene Bavec
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-06-27
- DOI
- https://doi.org/10.5281/zenodo.20970593
- Primary Topic
- Language and cultural evolution
- Type
- preprint