INTEGRATION OF AI IN FIGMA: TOOLS AND PRACTICAL CAPABILITIES

Authors

DOI:

https://doi.org/10.32782/uad.2025.5.8

Keywords:

artificial intelligence, design, Figma AI, generative technologies, creativity

Abstract

The article examines the evolution of modern design in the context of integrating artificial intelligence, which is gradually transforming from an auxiliary tool into an equal participant in the creative process. The focus is on analyzing the capabilities of Figma AI Beta (2025), representing a new stage in the development of the concept of «AI-assisted design». The presented features – Make Sites, Grid, Draw, Buzz, and Slides – demonstrate the shift from mechanical automation to cognitive interaction between human and algorithm.For instance, Make Sites allows the creation of fully functional web pages based on textual prompts, Draw converts sketches into ready-made layouts, and Buzz generates collections of current design trends by analyzing open design projects. According to the study by Wang, Zhao & Lee (2024), the use of such tools reduces interface development time by 30–40% without compromising UX quality, confirming the effectiveness of integrating analytical and generative approaches.It is emphasized that artificial intelligence does not replace the designer but expands their capabilities by providing deeper personalization, analytics, and optimization of creative decisions. Within the humanistic paradigm of «human-centered AI design», it is proven that AI forms a new model of creative production that unites technology, analytics, and aesthetics. The conclusion highlights that the development of intelligent systems in design requires the renewal of educational approaches, ethical standards, and the formation of interdisciplinary competencies necessary for effective human–algorithm interaction.

References

Chui M. та ін. The economic potential of generative AI. 2023. URL: https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier

Filippi S. Measuring the impact of ChatGPT on fostering concept generation in innovative product design. Electronics. 2023. № 16. 3535 р. DOI: 10.3390/electronics12163535.

Grunde-McLaughlin M. M. et al. Designing LLM Chains by Adapting Techniques from Crowdsourcing Workflows. arXiv preprint. 2023. arXiv:2312.11681. DOI: 10.48550/arXiv.2312.11681.

Johansson‐Sköldberg U., Woodilla J., Çetinkaya M. Design thinking: Past, present, and possible futures. Creativity and Innovation Management. 2013. № 2. С. 121–146. DOI: 10.1111/caim.12023.

Liedtka J. Why design thinking works. Harvard Business Review. 2018. № 5. С. 72–79. URL: https://hbr.org/2018/09/why-design-thinking-works

Meron Y., Araci Y. T. Artificial intelligence in design education: evaluating ChatGPT as a virtual colleague for post-graduate course development. Design Science. 2023. № 9. 30 р. DOI: 10.1017/dsj.2023.28.

Новаковський А., Яловега І. Упровадження технологій генеративного штучного інтелекту в творчу діяльність: розроблення структурної моделі дизайн-мислення. Сучасний стан наукових досліджень та технологій в промисловості. 2024. № 2(28). С. 108–120. DOI: 10.30837/2522-9818.2024.2.108.

Rösch N., Tiberius V., Kraus S. Design thinking for innovation: context factors, process, and outcomes. European Journal of Innovation Management. 2023. № 7. С. 160–176. DOI: 10.1108/EJIM-03-2022-0164.

Saadi J. I., Yang M. C. Generative Design: Reframing the Role of the Designer in Early-Stage Design Process. Journal of Mechanical Design. 2023. № 145. 41411 р. DOI: 10.1115/1.4056799.

Tholander J., Jonsson M. Design ideation with ai-sketching, thinking, and talking with Generative Machine Learning Models. Proceedings of the 2023 ACM Designing Interactive Systems Conference. 2023. С. 1930–1940. DOI: 10.1145/3563657.3596014.

Яловега І. Г. Витоки дизайн-мислення: евристика в перший та другий етапи розвитку філософії та науки. Фізико-математична освіта. 2019. Вип. 4 (22). С. 150–156. DOI: 10.31110/2413-1571-2019-022-4-023.

Зуб С., Яловега І. Розвиток евристичних методів на початку третього етапу історії філософії та науки. Фізико-математична освіта. 2020. № 2. С. 58–65. DOI: 10.31110/2413-1571-2020-024-2-008.

Published

2025-11-28

How to Cite

Kormych Л. А. (2025). INTEGRATION OF AI IN FIGMA: TOOLS AND PRACTICAL CAPABILITIES. Ukrainian Art Discourse, (5), 68–73. https://doi.org/10.32782/uad.2025.5.8

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