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In January 2022, I returned from my exchange, and everybody was talking about generative AI tools. It was something new for me, but many of my classmates had already heard about it and had even used it. I became very curious after the conversations I had with them, and I decided to try it out when I got home. It was such an eye-opener.

Using generative AI tools such as ChatGPT and Microsoft Edge’s AI powered browser has changed a lot for me. They are convenient and have helped me while studying and preparing for my exams. Many questions I had were easily answered by these AI tools, saving me a lot of time. Emailing these questions to the professor or asking fellow classmates was unnecessary. Furthermore, AI tools are great for brainstorming. Sometimes when you have an idea but do not know how to implement it, an online AI guide could help. This decreases the time spent on brainstorming, which can lead to higher productivity.

Besides the advantages of AI tools, they also have disadvantages, especially in education. Users, such as students, could become highly dependent on AI tools since they help to answer questions and solve problems. They could rely on it and stop thinking of their own ideas, which could result in plagiarism. Also, not all answers are reliable since AI uses pre-existing data. If the wrong data is inputted into the AI tool, it could lead the user in the wrong direction, which could cause unnecessary issues.

Therefore, improvements need to be made when it comes to AI tools. To reduce these possible issues, AI tools could be more personalized. Rather than only answering questions, it would be beneficial if they could also ask the user questions to make the experience more personalized. Another improvement would be to encourage users to generate their own ideas before AI tools give them an answer. This could stimulate critical thinking and help reduce the risk of fraud or plagiarism.

Generative AI tools are becoming an important part of our lives. People are becoming more familiar with them because they are convenient, save time, and provide help when needed. However, further improvements are needed to achieve better results and outcomes for users. The more data AI has access to, the better its results will be. AI tools could then be used in more fields, increasing productivity. People could have more free time to do what they want to do. The more advanced AI becomes, the less effort users will need to put in. AI usage is increasing, but what comes next?

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The abbreviation “AI” (artificial intelligence) is no longer new. It is becoming increasingly familiar and influential as an emerging technology across various industries. Even in the fashion industry, it is gaining popularity, growing, and continuously evolving. The global AI in the fashion industry reached 1.58 billion USD, and it is estimated to increase to 49.07 billion USD by 2033, with a compound annual growth rate of 41% from 2024 to 2033 (Precedence Research, 2024).

Traditionally, fashion trends were predicted by analyzing data from various sources such as social media, fashion blogs, online retail sites, and even global fashion events. Today’s fashion businesses are using AI tools to generate trends. These tools can generate an enormous amount of data from social media, e-commerce platforms, and fashion blogs. For instance, brands like Burberry now use AI to analyze social media data (Plahonina, 2024). Furthermore, AI can leverage algorithms to analyze historical data and identify trends such as current popular themes, colors, and patterns in the fashion industry. Another great benefit of AI is that it can analyze consumer behavior and segment the market based on demographics. It can also understand what is successful in the market and how competitors are performing (Christou, 2024).

Besides being used internally, AI also has an external impact. AI influencers are becoming a disruptive force in the fashion industry. The global virtual influencer market size was estimated at 4.58 billion USD in 2023, and it is estimated to grow at a compound annual growth rate of 38.9% from 2024 to 2030 (Virtual Influencer Market Size &Amp; Outlook, 2030, 2024). Characters are created and powered by artificial intelligence. These AI influencers are programmed with personalities and behaviors that align with brand identities. Influencers nowadays can represent the perfect picture of beauty standards. It becomes easier for brands since they can prepare marketing campaigns tailored 100% to the brand’s needs. Furthermore, AI influencers can provide 24/7 service because they do not have the limitations of humans, which means they can perform tasks that real people need to do during the day (Baukh, 2024). Bigger brands such as Chanel, Alexander McQueen, Prada, and more already use AI influencers to promote their brands. You may know Lil Miquela, a virtual influencer with more than 2.5 million followers on Instagram.

AI influencer Lil Miquela posing for Chanel, 2018.

However, there are also challenges. Since AI relies heavily on data patterns, it may lack the creativity and originality that human influencers bring, making campaigns feel repetitive or too predictable. Additionally, if reviews are given by AI influencers, is the information actually useful? Since it could be tailored to what companies want, leading to a lack of transparency (Capital Advertising, 2024).

AI can no longer be ignored in the fashion industry, as it comes with both advantages and disadvantages. But looking ahead, will human influencers be replaced by AI influencers? Will the fashion industry become too dependent on AI?

References:

Baukh, O. (2024, September 13). How Artificial Intelligence is Revolutionizing  the Fashion Industry. Techpacker Blog. https://techpacker.com/blog/design/how-artificial-intelligence-is-revolutionizing-the-fashion-industry/

Capital Advertising (2024, May 23). The rise of AI influencers – Capital Advertising. Capital Advertising. https://capitaladvertising.nl/en/blogs/ai-influencers

Christou, L. (2024, July 15). Artificial Intelligence in Fashion: Reshaping the Entire Industry. 3DLOOK. https://3dlook.ai/content-hub/artificial-intelligence-in-fashion/

Plahonina, M. (2024, July 17). How known brands are using AI models to revolutionize fashion | REVERB. REVERB | Full Service Marketing. https://reverbico.com/blog/how-known-brands-are-using-ai-models-to-revolutionize-fashion/#:~:text=Burberry%20uses%20AI%20to%20analyze,create%20more%20targeted%20marketing%20campaigns.

Precedence Research. (2024, February 23). AI in Fashion Market Size to Hit USD 49.07 Billion by 2033. https://www.precedenceresearch.com/ai-in-fashion-market

Virtual Influencer Market Size & Outlook, 2030. (2024, August 28). https://grandviewresearch.com/horizon/outlook/virtual-influencer-market-size/global