The Impact of Artificial Intelligence on Web UI Development

Yurii Bezhentsev

Citation: Yurii Bezhentsev, "The Impact of Artificial Intelligence on Web UI Development", Universal Library of Engineering Technology, Volume 03, Issue 01.

Copyright: This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The article examines how generative artificial intelligence is reshaping Web UI development, primarily by reconfiguring the infrastructure layer, interface component libraries, and design systems, thereby transforming not the speed of layout implementation but the economics of reusable artefacts. The aim of the study is to provide a conceptual explanation of why, under the mass adoption of LLM-based assistants and intelligent interface methods, legacy monetization models based on selling ready-made themes, templates, screen collections, and even paid access to components begin to lose stability. The relevance of the work stems from the fact that contemporary web development functions as a dependency network of package ecosystems, where component libraries act as channels for scaling practices, while AI drastically reduces the cost of obtaining a first working version and reproducing standard solutions, simultaneously increasing the variability of results and the risk of divergence between teams. The novelty of the article lies in shifting the focus from the technological effect of generation to the shift in the unit of value: it is shown that in conditions of commoditization of form, market power moves toward what cannot be generated in a single pass, toward the manageability of the design system, verifiable contracts (tokens, standards, rules of composition), design–code integrations, automated quality control, and guarantees of compatibility and predictable updates. The main conclusion is that the winners are not vendors of yet another button, but platforms that sell trust, disciplined change, and reproducible UI evolution. The article is intended for developers, design leads, product managers, and creators of design systems who are choosing strategies for sustainable monetization in the era of generative AI.


Keywords: Artificial Intelligence, Generative Models, Web UI, Design Systems, Component Libraries, Monetization.

Download doi https://doi.org/10.70315/uloap.ulete.2026.0301010