Authors:

Kuldeep Kumar

Abstract:

The rapid ascent of generative artificial intelligence (GAI), which utilizes diffusion and large language models, has profoundly disrupted the visual arts ecosystem. This research article examines the mechanisms through which AI manipulates art—defined here as algorithmic processes of style transfer, content generation from textual prompts, and assimilation of vast datasets of existing human artwork. This study investigates a critical dichotomy: whether this technological manipulation constitutes a beneficial evolution of creative tools or a detrimental threat to the livelihood and integrity of human artists. Through an analysis of current technologies, legal challenges regarding copyright, and evolving workflows, this study argues that AI represents a dual-edged sword. It offers unprecedented democratization and efficiency in creative expression while simultaneously posing existential economic threats to commercial artists and raising significant ethical questions regarding data ownership and devaluation of human skill. The findings suggest that the future of art will likely be defined not by replacement but by a complex, often contentious, hybridization of human intent and machine capability.

Keywords:

Generative AI, Stable Diffusion, Copyright Law, Style Transfer, Machine Creativity, Digital Art Economy

Vol & Issue:

VOL.18, ISSUE No.1, March 2026