AI image tools are genuinely impressive now
It's worth saying this clearly: AI image generation has improved more in the last two years than almost any other category of AI tools. What used to produce nightmare hands and incoherent backgrounds now produces work that routinely fools people.
But there are still clear limits. Knowing them will save you a lot of frustration.
What AI image tools are genuinely great at
Concept visualisation
Need to see what a product might look like before you build it? A room layout before you renovate? A logo concept before you hire a designer? AI image tools are fast and cheap for this.
Backgrounds and textures
Abstract backgrounds, textured surfaces, environmental scenes with no people — this is where AI image tools consistently shine. Low risk of the problems that plague other uses.
Stylised illustration
Flat design, retro, watercolour, isometric — stylised illustration is another strong suit. When you're not trying to be photorealistic, the results are often excellent.
Mood and atmosphere
For blog headers, social media covers, or editorial images where you need a feeling rather than specific content, AI tools are fast and effective.
What they still can't do reliably
Accurate text in images
Getting readable, correctly spelled text inside an AI-generated image is still unreliable in most tools. Ideogram is the exception — it's built specifically to solve this — but it's still not perfect.
Specific real people
Generating accurate likenesses of real people is both technically difficult and ethically fraught. Don't try to use AI to put real people in scenarios they didn't consent to.
Hands and complex anatomy
The hands problem is much better than it was. It's not solved. Anything requiring anatomically precise human figures still needs human review and often human touch-up.
Consistent characters across images
Generating the same character across multiple images — same face, same clothes, same proportions — remains genuinely hard. Tools like Midjourney's --cref flag help but it's still inconsistent.
The practical advice
Use AI image tools where they're strong. Don't fight their weaknesses unless you enjoy the challenge. And always check what you're putting out into the world — impressive-looking AI images can still have subtle errors that damage credibility.