
Written By: Dr Alshaimaa Bahgat Ezzat Alanadoly, Senior Lecturer at The Design School Faculty of Innovation & Technology of Taylor University
Since April 2023, #AIFashion has been gaining significant traction highlighting the world’s first-ever ‘AI Fashion Week’ held in New York City, organised by the creative studio Maison Meta. Fully designed by generative AI (artificial intelligence) tools, the screens showcased designs like standard catwalk images in bustling halls and shooting environments. AI Fashion Week was not a typical fashion week, instead, it provided an avenue for winning designers to bring their AI-generated designs to life and transformed them into capsule collections.
Generative AI, powered by machine learning, is an extraordinary technology capable of creating novel content across multiple mediums, including images, text, videos, and sound. By training on vast datasets and processing massive amounts of information, generative AI learns patterns, styles and nuances ingrained within the data. It then harnesses this knowledge to generate diverse and captivating content based on input received, opening up limitless possibilities for creative expression that pushes the boundaries of human imagination.
From a designer’s standpoint, the initial stages of the design process involve searching, exploring and brainstorming ideas. This includes sketching, drafting, collaborating with colleagues and conducting draping experiments, ultimately leading to sampling and prototyping. Often, these early design stages account for around 80% of the collection development process.
Enhancing the Creative Process
Collaborating with generative AI enhances the humanised creative process, fostering greater creativity and significantly shortening production timelines. Designers contribute their unique blend of subjective judgment, artistic vision, human intuition, cultural understanding and trend forecasting, while AI accelerates creative ideation to unprecedented levels within minutes. While AI generates and combines ideas, designers meticulously consider essential design elements such as fabric choices, garment details, wearability, and market demand.
Fashion design encompasses not only aesthetically pleasing creations but also understanding consumers’ needs and desires and creating cohesive collections while capturing the essence of a brand.
Although generative AI still struggles to conquer the humanised critique, AI still proves to be a valuable tool when wielded by skilled designers—fuelling inspiration and remixing existing concepts to generate a sense of innovation. Besides, business practitioners are expanding the definition of a “designer” to include mastery of generative AI tools.
Moreover, generative AI tools bring substantial value to the fashion industry in terms of sustainable and ethical practices, and accurate market predictions – capturing consumer trends and enabling better decision-making to meet actual market demands. For example, renowned Levi Strauss & Co (Levi’s) addressed diversity concerns in fashion modelling by utilising AI models, facilitating more ethical and sustainable communication of their collections. They joined other brands that made significant investments in AI, leveraging virtually created models to photograph their collections to foster e-retailing, virtual try-on, and highly immersive marketing campaigns.
The Potential to Revolutionise an Industry
The potential for generative AI tools to revolutionise the fashion industry worldwide is imminent. As technology advances, the intersection of AI and fashion presents intriguing possibilities as fashion companies can streamline their collections, expedite processes at a reduced cost, and adopt more sustainable practices.
However, generative AI tools will always remain as tools as it is crucial to recognise stylists, planners, designers, and other fashion stakeholders’ skills and contributions that extend far beyond the output displayed on a screen.


Archive
- October 2024(44)
- September 2024(94)
- August 2024(100)
- July 2024(99)
- June 2024(126)
- May 2024(155)
- April 2024(123)
- March 2024(112)
- February 2024(109)
- January 2024(95)
- December 2023(56)
- November 2023(86)
- October 2023(97)
- September 2023(89)
- August 2023(101)
- July 2023(104)
- June 2023(113)
- May 2023(103)
- April 2023(93)
- March 2023(129)
- February 2023(77)
- January 2023(91)
- December 2022(90)
- November 2022(125)
- October 2022(117)
- September 2022(137)
- August 2022(119)
- July 2022(99)
- June 2022(128)
- May 2022(112)
- April 2022(108)
- March 2022(121)
- February 2022(93)
- January 2022(110)
- December 2021(92)
- November 2021(107)
- October 2021(101)
- September 2021(81)
- August 2021(74)
- July 2021(78)
- June 2021(92)
- May 2021(67)
- April 2021(79)
- March 2021(79)
- February 2021(58)
- January 2021(55)
- December 2020(56)
- November 2020(59)
- October 2020(78)
- September 2020(72)
- August 2020(64)
- July 2020(71)
- June 2020(74)
- May 2020(50)
- April 2020(71)
- March 2020(71)
- February 2020(58)
- January 2020(62)
- December 2019(57)
- November 2019(64)
- October 2019(25)
- September 2019(24)
- August 2019(14)
- July 2019(23)
- June 2019(54)
- May 2019(82)
- April 2019(76)
- March 2019(71)
- February 2019(67)
- January 2019(75)
- December 2018(44)
- November 2018(47)
- October 2018(74)
- September 2018(54)
- August 2018(61)
- July 2018(72)
- June 2018(62)
- May 2018(62)
- April 2018(73)
- March 2018(76)
- February 2018(8)
- January 2018(7)
- December 2017(6)
- November 2017(8)
- October 2017(3)
- September 2017(4)
- August 2017(4)
- July 2017(2)
- June 2017(5)
- May 2017(6)
- April 2017(11)
- March 2017(8)
- February 2017(16)
- January 2017(10)
- December 2016(12)
- November 2016(20)
- October 2016(7)
- September 2016(102)
- August 2016(168)
- July 2016(141)
- June 2016(149)
- May 2016(117)
- April 2016(59)
- March 2016(85)
- February 2016(153)
- December 2015(150)