In the digital age, the social media sector holds immense power. People rely on social media influencers for recommendations, inspiration, and advice across various platforms. A new phenomenon is emerging in this context: the emergence of social influencers created by artificial intelligence (AI).
What are AI-generated social influencers and how do they work?
Also known as digital influencers or AI influencers, these digital personalities have a presence on social media and interact with the world in the first person. They are created by 3D artists using computer-generated imagery, motion capture technology, and AI and are characters designed to mimic real-life human influencers. By doing that, creators can make them look and behave however they want, and their personalities are carefully developed to fit their target audience.
Then these influencers are programmed to create and post content on various social media platforms that can compose engaging captions, design images, and even produce videos. These AI-powered characters interact with their followers by responding to comments, messages, and sometimes collaborating with other influencers in the virtual world.
What are the objectives of AI-generated social influencers?
AI-powered social influence applications have a set of significant goals they aim to accomplish. To begin, their intention is to simplify and streamline the influencer marketing process. This entails automating various tasks like content creation, engagement monitoring, and data analysis. By doing so, these applications save time and reduce the resources required for overseeing influencer campaigns.
Their objective is to render influencer marketing more effective, authentic, and data-driven. Their mission is to assist brands in connecting with the most suitable influencers, evaluating the influence of their campaigns, and broadening their reach to connect with a larger audience. In doing so, they contribute to the advancement and enhancement of influencer marketing strategies.
The advent of AI-generated social influencers is reshaping social media dynamics.
AI-generated creators, such as Lu do Magalu, Lil Miquela, Noonoouri and Milla Sofia are advantageous investments considering their consistent content, engagement, and predictability, bearing in mind that brands can control the content, ensuring it adheres to their principles and values without having to worry about unwanted actions or controversies.
While creating these influencers requires investment initially, it can ultimately save money by eliminating the need for compensation, free products, or complicated contractual arrangements with influencers. In addition, these influencers don’t age, they’re free from “real” scandals and they can be programmed to speak any language, making them ideal to promote brands and products.
Despite their benefits, AI-generated influencers also pose challenges.
In general, for artificial intelligence to work the program is given huge amounts of data to learn from. It is then asked to perform tasks such as speech recognition, computer vision, pattern recognition, and object recognition in an attempt to simulate human responses, and that’s not different when we talk about AI-generated influencers.
In short, AI-generated social influencers represent an exciting development in the world of social media and marketing. They provide benefits such as consistency, predictability, and personalization. However, they also raise pertinent questions regarding authenticity and transparency. As technology continues to evolve, both brands and consumers need to navigate this ever-changing landscape by carefully considering the ethical and practical implications. AI-powered influencers are poised to play an increasingly important role.
Sources:
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En formation en Master 2, Droit de l’Économie Numérique à l’Université de Strasbourg
