Generative AI and large language models (LLMs) have made significant advancements in the creative industries, but there are still limitations to their reliability. While AI tools like Midjourney, DALL-E, ChatGPT, Claude, and Adobe’s Firefly have proven useful in various applications, their results may not always meet expectations.
For example, when using Photoshop to remove an image background, it may create a completely unrelated scene instead. Similarly, Illustrator might generate an image that bears no resemblance to the requested subject. These instances can disrupt workflows and highlight the need for human intervention and expertise.
Unlike text models, visual AI must understand complex elements like color harmony, spatial balance, and stylistic consistency. This is where human designers, illustrators, and photographers remain essential. Their ability to capture human depth, emotions, challenges, and dreams sets them apart from AI-generated content. While AI can handle certain tasks like writing B2B blog copy, the prospect of AI writing novels may be met with resistance.
Fortunately, the adoption of AI has been slower than initially predicted, providing a window of opportunity for human workers to remain competitive. It is crucial for individuals in creative fields to master relevant AI tools, work efficiently, and maintain fair compensation for their labor. By getting involved in shaping the conversation around AI and advocating for protections in creative work, we can ensure that authenticity and originality are prioritized. Together, we can create an industry where technology complements, rather than replaces, human creativity.
