Generative AI for Images

Generating an image in seconds is impressive, but for professional use the questions pile up: actual quality, brand consistency, rights, and honesty toward your audience.

This article helps you use it usefully and carefully. See artificial intelligence.

01 — Strengths and weaknesses

Where it helps, where it disappoints

• Strengths: visual ideation, backgrounds, textures, format variations, editing (cutouts, image extension).
• Weaknesses: text within the image, hands and fine detail, keeping a character consistent across images, accuracy of a real product.

02 — Reasonable professional uses

Complementing, not replacing

• Illustrations for blog posts and social media.
• Mockups and moodboards before a real photo shoot.
• Edits and adaptations of existing visuals.
• Abstract graphic elements (backgrounds, patterns).

03 — Rights

Still shifting ground

The legal status of generated images varies by country and tool, and some licenses limit commercial use. Check the tool's terms, avoid reproducing an identifiable style, and never generate the image of a real person without their consent.

04 — Editorial honesty

Saying so when it matters

To represent your team, your premises, your products, a real photo builds more trust. If an image is generated and could mislead, say so.

05 — Frequently asked questions

Frequently Asked Questions

Can I use an AI image commercially?

It depends on the tool and the country. Read the license, keep a record of the generation, and avoid identifiable styles or people.

Are AI images detectable?

More and more tools add an invisible watermark, and detectors exist. Don't rely on undetectability for a misleading use.

Should you give up real photography?

No. For anything that genuinely represents the company, an authentic photo remains the best choice.

06 — Resources & links

Where to go, concretely