Is Generative AI Going to Be the Death of Creative Design Jobs?

The Intersection of Technology and Art

Generative AI is far from the first revolution in creative expression. The printing press, the roller brush, and the first computers all met backlash from established artists and writers. When photography was invented in the 19th century, many painters feared it would render their skills obsolete. Instead, photography emerged as a new artistic medium, pushing painters to explore other forms of expression like Impressionism and Abstract art. Similarly, the introduction of digital tools in the late 20th century transformed graphic design and animation, creating new opportunities for media that weren’t previously possible.

The current rise of generative AI is the next chapter in this ongoing history. Just like previous technologies expanded artists’ toolkits, creative AI is proving to do the same. The invention of the camera did not eliminate painting; it changed the nature of visual art. The ability to instantly generate art, music, and design elements offers a new medium for brainstorming and testing.

The integration of AI into creative fields continues this tradition, allowing artists to blend traditional design with cutting-edge techniques to produce unique and compelling works. This historical perspective reassures us that, while technology evolves, it doesn’t have the same spark that can create original styles and movements. These tools cannot and should not be a replacement for human ingenuity.

AI as a Tool for Artists

The emergence of creative AI tools has radically transformed what artists can achieve in video editing, animation, logo design, and more. These tools offer new ways to expedite the artistic process, including faster ways to create variations of frames and shots. Let’s explore three key techniques that are saving artists time and resources: inpainting, outpainting, and image-to-image manipulation (img2img).

Inpainting

Inpainting involves using AI to fill in missing parts of an image. This technique allows artists to remove sections of an image and have the AI generate multiple options on how to fill it. These text prompts might include everything from color correction to changing the composition. For example, an artist might start with a rough sketch and use inpainting to explore different models of the finished piece. In this sense, the tools act as a shortcut for visualization.

Outpainting

Outpainting, also known as “uncropping,” enables artists to extend an image beyond its original borders. By providing an existing image and a text prompt, AI can imagine and render the surrounding context, effectively expanding the artwork. Outpainting can help artists flesh out backgrounds and landscapes, illustrating a new perspective and adding depth to their creations. For digital artists, this resource is a game-changer that can quickly match image dimensions across multiple platforms.

Image-to-Image (img2img)

Image-to-image techniques involve generating new graphics from existing ones guided by text. Think of it as connecting the dots between two different works. This option lets artists take a preliminary sketch or an AI-generated image and iteratively refine it into a polished draft. Artists can experiment with different styles and concepts quickly, seeing real-time changes as they adjust the input. This workflow mirrors traditional art processes, where artists start with a basic idea and gradually develop it into a final piece, but with the added speed and versatility of AI.