How Do AI Models Work? 

These platforms operate through machine learning, analyzing vast databases to identify patterns, styles, and visual characteristics. Based on this data, they generate images using textual descriptions provided by users. The issue lies in the fact that many of the images used to "train" these algorithms are sourced online without proper licensing, potentially infringing copyright laws.

This scenario creates a legal deadlock. Creators whose works have been used without permission have begun suing AI companies. The lack of consent for using these images is one of the main grievances, especially when the resulting creations are commercialized. 

Market Responses 

Some companies are seeking solutions. Platforms are adopting strategies to avoid legal conflicts by using only licensed images. Here are a few examples:

• MidJourney: Formed partnerships with image banks such as Shutterstock and Getty Images to ensure the legality of the content used.

• Adobe Firefly: Exclusively uses the Adobe Stock image library, avoiding non-licensed sources.

• Freepik: Implemented the use of authorized images to train and generate AI-powered content.

These initiatives not only reduce legal risks but also ensure compensation for original creators, fostering a sustainable creation model.

A Personal Perspective 

In my view, AI should be seen as a tool that accelerates experimentation and the discovery of new possibilities, not as a threat to creativity. Artists can use AI to generate initial sketches, explore new compositions, or discover unexpected visual elements. From there, the human creative process takes over, refining, personalizing, and imprinting emotional and subjective marks on the final piece. In this scenario, AI doesn’t eliminate the artist’s role; it enhances it by offering new tools for innovation. 

The Future of the Sector