Best AI Design Tools: Useful for Drafts, Risky for Final Artwork

Most design software now includes some form of AI, and standalone generators are common too. The useful question is not whether AI can make an image. It is whether a particular tool helps you do a specific job more reliably, and at what cost in checking time, licence risk and brand consistency. This roundup looks at the main options by task.

AI features in creative software change quickly, and many depend on plan, region and usage allowances. The assessments here describe typical behaviour and what to check. Confirm current availability and terms with each vendor before relying on a feature in client work.

Integrated tools inside design software

Adobe Firefly and Photoshop generative features

Firefly is Adobe’s generative model family, and it appears across Photoshop, Illustrator and Express. Generative Fill and Generative Expand are the most useful features for working photographers and retouchers, because they sit inside a layered workflow. Adobe describes its models as trained on licensed and public-domain content, and it offers indemnification for some enterprise customers. Read the terms for your plan before using the output commercially.

Canva’s AI tools

Canva’s AI features generate images, text and layout suggestions inside its editor. They are most useful for social variations and drafts, and less dependable for legible text inside images or precise brand art. Check the plan that covers AI features and the licence terms for generated output.

Figma’s AI features

Figma includes AI tools that help with placeholder content, layout suggestions and image generation inside designs. They are useful for exploration and filling in test content. Real product copy and accessibility decisions still need human review, and some features are metered on plans.

Standalone image generators

Midjourney

A widely used image generator known for atmospheric, stylised output. It is a strong tool for concept exploration and mood boards. Its outputs are not designed for editable layouts, and its terms, commercial rights and community sharing settings need careful reading before client use.

Ideogram

A generator that handles text inside images better than many tools, which makes it useful for posters, title treatments and drafts with words. Check the terms on commercial use and on what happens to prompts and outputs under each plan.

What AI design tools do well

• Exploration. Quick directions for mood, palette or composition before committing time.
• Placeholders. Realistic temporary images and copy that let a layout be tested.
• Variations. Several versions of a layout or background for review.
• Cleanup. Removing objects, extending backgrounds and fixing small problems in photographs.

Where they fail

• Legible text. Even good generators misspell or distort words, especially small text and logos.
• Brand consistency. Generated imagery often drifts from a brand’s actual colours, type and style.
• Hands, reflections and product detail. Fine details still break in obvious ways at full resolution.
• Vector cleanliness. Generated vectors often have messy paths and need rebuilding for production.

Summary table

A practical rule

Use AI to get to a decision faster, not to skip the decision. Generate options, choose one, rebuild it in your professional tools, check it against the brief and the licence, then deliver. Our AI features guide sets out a checklist for that process. For a broader view of the tools in creative software, read our Canva review and Figma review.