Figma AI Review 2025: Is It Worth the Upgrade for Designers?

Figma AI Review 2025: Is It Worth the Upgrade for Designers?

I design UI/UX professionally, and I've been testing Figma's AI features since they rolled out. My assessment is mixed in a specific way: some features are genuinely useful and already part of my daily workflow; others are impressive demos that don't survive contact with real design work.

The honest verdict before we go deeper: Figma AI is worthwhile if you're already on the Professional plan, where many AI features are included. The features I use daily (Rename Layers, Make Grid, First Draft for wireframes) save real time. The features I don't use (AI image generation, some content generation) aren't good enough to change my workflow.

Here's the breakdown.

First Draft: Genuine Wireframing Acceleration

First Draft is the flagship AI feature — describe an interface in text and Figma generates a wireframe.

What it actually produces: Structurally plausible layouts. If you type "a SaaS dashboard with a sidebar navigation, a metrics overview at the top, and a data table below," you get something that looks like a SaaS dashboard — with sidebar, nav items, metric cards, and a table.

What it doesn't produce: Polished, production-ready design. The spacing, typography, and visual hierarchy require significant work. The generated components don't follow your design system — they're generic placeholders.

Where it's genuinely useful:

• Early exploration: when you have a feature request and need 3–4 layout options quickly, First Draft generates starting points in minutes rather than hours
• Client presentations: generating rough concepts to discuss before committing to detailed design
• Explaining a concept to a developer without doing full design work

Where it disappoints:

• Starting from a specific design system (it generates generic, not system-consistent)
• Complex interactions (it generates static layout, not interactive states)
• High-fidelity work (the gap from AI wireframe to production design is substantial)

My usage: I use First Draft for initial exploration on ambiguous features. I'd estimate it saves me 1–2 hours per week on wireframing, which is meaningful.

Rename Layers: Unexpectedly the Most Useful Feature

If you've ever cleaned up a design file with layers named "Group 234," "Rectangle 56," and "Frame 7," you understand the tedium.

Figma AI's Rename Layers analyzes the visual content of each layer and generates a descriptive name. A layer containing a profile picture becomes "avatar." A button with "Submit" text becomes "submit-button." A card container becomes "card-container."

The result: Cleaner layer organization without manual effort. Files are more navigable, handoffs to developers are cleaner, and future-you appreciates the organized file.

Limitation: It's not perfect — complex or ambiguous elements sometimes get generic names. But it's dramatically better than the alternative of naming everything manually or working with "Group 1422."

Time saved: Renaming layers on a complex file used to take 20–30 minutes. With AI, it takes 1–2 minutes of review and minor corrections.

Make Grid: Auto-Layout for Messy Layouts

Select a group of loosely positioned elements and "Make Grid" wraps them in a proper auto-layout grid.

Where it works well: When you've dropped several cards on the canvas without properly organizing them, Make Grid organizes them into a clean auto-layout grid with consistent spacing.

Where it's limited: It makes opinionated choices about grid structure that may not match your intent. Sometimes requires adjustment.

My verdict: Saves 5–10 minutes on file cleanup tasks. Worth using.

Visual Search: Finding Assets Faster

Figma's component library search has historically been name-based. If you named your button component "btn-primary" instead of "Primary Button," search results are inconsistent.

Visual Search lets you search by visual description — "blue pill button" or "three-column card layout" — and returns visually similar components from your libraries.

In practice: More useful than I expected. Searching for "card with avatar and badge" is more intuitive than remembering exact component names.

Limitation: Requires well-organized libraries with reasonable coverage. Works better with large, mature design systems.

AI Content Fill: Useful but Limited

When building UI with placeholder content, Figma can fill text fields with contextually relevant placeholder text — names, dates, product descriptions — rather than "Lorem Ipsum."

The value: "Lorem ipsum" in designs is jarring for stakeholders who can't visualize real content. AI-filled content makes designs feel more realistic in reviews.

The limitation: The generated content is generic. For domain-specific content (medical app, legal platform, financial software), the placeholders often feel wrong for the context.

Image Generation: Where Figma AI Disappoints

Figma includes an AI image generation feature for creating placeholder images directly in designs.

Honest assessment: The quality is mediocre compared to Midjourney, Dall-E 3, or even Stable Diffusion. The images look obviously AI-generated in ways that undermine design presentations.

My recommendation: Use Unsplash integration for placeholder photography, Midjourney for high-quality AI images, and Figma's image generation only when other options aren't accessible.

Figma AI vs. Alternative AI Design Tools

The positioning: Figma AI is best for teams already using Figma who want AI-assisted design process. Framer AI is interesting for web design that goes directly to production. Galileo AI produces higher-fidelity UI generation but is a separate tool from your primary design workflow.

Performance and Reliability

AI features are occasionally slow — First Draft generation takes 5–15 seconds. This is acceptable for exploration tasks but would be frustrating in rapid iteration contexts.

Reliability has been good in my testing over six months. Occasional generation failures (especially under heavy server load) but not frequent enough to be a workflow disruption.

Frequently Asked Questions

What are Figma AI's best features?

First Draft for wireframe exploration, Rename Layers (unexpectedly the most consistently useful), Make Grid for auto-layout, and Visual Search for component library navigation.

How much does Figma AI cost?

Most AI features are included in the Professional plan ($15/editor/month). Some advanced AI features may have usage limits or add-on costs — verify current pricing at figma.com as Figma's pricing was reorganized in 2024.

Can Figma AI replace a designer?

No. It accelerates specific tasks (wireframing, repetitive organization, content placeholder) but doesn't replace design judgment, creative direction, or the work required to produce polished, system-consistent designs.

How does Figma AI compare to Adobe Firefly?

Figma AI integrates AI into the UI/UX design process. Adobe Firefly specializes in generative image creation and photo editing. They address different parts of the workflow and are largely complementary rather than competitive.

Final Thoughts

Figma AI is a meaningful improvement to the design workflow in specific areas — wireframing exploration, file organization automation, and asset discovery. The features I use daily (Rename Layers, First Draft for early exploration, Make Grid) save genuine time.

The generative image features are not competitive with specialized tools. The AI-generated UI quality is improving but not yet at the level where it changes how production UI/UX work happens.

For teams on Figma Professional, the AI features add real value and the price is essentially included. For teams on the free plan evaluating whether to upgrade, the AI features alone are probably not the reason to upgrade — the collaboration features in Professional are more impactful.

The trajectory matters: Figma's AI features are improving rapidly, and the combination of AI wireframing + AI component organization + AI content generation will become increasingly important to the design workflow over the next 1–2 years.

For a comparison of AI tools that affect the developer handoff side of the design workflow, the Cursor IDE review covers the AI coding environment where developers implement what designers create.