Artificial intelligence has transformed the relationship between language, cognition, and culture by turning algorithms into active participants in meaning creation. This study explored how AI-driven linguistic intelligence reshapes global digital narratives through computational semantics, cross-linguistic adaptation, and cultural-context mediation. Using a quantitative research design based on Structural Equation Modeling and multilevel regression, the analysis covered data from 120 countries across 3,500 AI-enabled linguistic systems between 2020 and 2024. Results revealed strong predictive relationships between linguistic intelligence and narrative transformation (β = 0.41 for natural language generation, β = 0.29 for computational semantics, and β = 0.22 for cross-linguistic adaptation), with cultural-context mediation moderating these effects by 31 percent (p < 0.01). The global R² value of 0.68 confirmed that linguistic inclusivity explains major variance in digital narrative diversity. These findings indicate that algorithmic cognition now co-determines how languages evolve and how cultural meaning circulates. This research contributes to theory by extending the Linguistic Relativity Theory through the addition of algorithmic linguistic intelligence, thereby broadening its explanatory scope and offering a refined framework for understanding computational meaning-making in global digital communication. The implications emphasize the need for multilingual AI policy, ethical governance, and inclusive data architecture that preserve cultural nuance across societies. The study concludes that linguistic relativity now operates not only within human cognition but also within AI-mediated systems shaping the world’s semantic future.