AI Resilience Report forArtists and Related Workers, All Other

AI tools can already handle parts of an artist’s job, but they don’t replace the artist’s vision. For example, image AIs (like DALL·E or Midjourney) can turn a text prompt into a picture, and even beginners can quickly generate illustrations this way ^[1]. In practice, many artists use AI to speed up routine tasks.

One survey found about 55% of creators were using AI to edit or enhance images (and ~48% to help brainstorm ideas) ^{[2] [2]}. This shows AI can automate tedious chores like color adjustment or resizing. However, experts say AI outputs tend to recycle existing patterns and lack true originality ^[1].

Many professional artists still need to refine or rework AI-generated drafts. In fact, some concept artists report that AI can even complicate projects: clients sometimes bring an AI image and ask the artist to make “something like this,” which can limit creative freedom ^[3]. In short, AI can assist with artwork (sketches, edits, ideas), but it hasn’t captured the full creative task.

Human traits like imagination, style, and storytelling remain outside AI’s reach, so artists still do the final creative work.

Creative AI tools are widely available and cheap (many are free online), so adoption is growing. In fact, 2025 surveys find 86% of creators already use generative AI in their workflow ^[2]. Most use it for support – e.g. >50% use AI for editing/upscaling images, and about half use it for idea generation ^{[2] [2]}.

This is because AI can save time on repetitive tasks, giving artists faster drafts or edits. But adoption isn’t unlimited. Some artists still worry about costs and quality: 38% say AI tools are expensive and 34% say AI results can be unreliable ^[2].

There are also legal and ethical concerns: many creatives object if AI uses their artwork without permission ^[4]. Importantly, clients and audiences often prefer genuine human creativity. One report notes that even as AI grows, demand for unique creative work has risen, because businesses want the emotion and originality that machines can’t provide ^{[2] [2]}.

In practice, experts see a “hybrid” future: AI handles the easy or repetitive parts, while people guide the final ideas and add personal flair ^{[2] [1]}.