Medium: How Figma's AI features are changing the way designers work in 2026

Ryan Almeida’s article on Medium walks through seven Figma AI features that have become part of everyday professional practice in 2026 and explains how each one affects the actual shape of a designer’s day. Rather than cataloguing capability, the piece frames each feature around the workflow phase it addresses — from early ideation through handoff — and draws on Figma’s own State of the Designer 2026 research to ground the claims in real adoption data.

What the article covers

The seven features examined are First Draft, Replace Content, Make an Image and Vectorize, Rename Layers, Add Interactions, Figma Sites, and Figma Make. Each is described in terms of where in the process it saves time and where human judgment still has to carry the work.

First Draft generates initial UI layouts from a text prompt and is most useful during early direction-setting, when the goal is to produce several rough options quickly rather than one polished version. Replace Content swaps placeholder text for contextually appropriate copy, which is particularly valuable before client reviews. Make an Image converts text prompts into custom visuals and can vectorize raster images into editable paths — useful for brand asset work when stock libraries fall short. Rename Layers is a one-click step that produces developer-readable file structure and has quietly become a standard pre-handoff habit. Add Interactions suggests prototype connections based on the components in a file, giving designers a starting point rather than a blank state when building click-through demos. Figma Sites brings no-code publishing into the same environment, and Figma Make generates UI from prompts that reference a design system, keeping generated output on-brand.

Context and scale

The State of the Designer 2026 report, which Almeida cites throughout, found that 72 percent of designers now use generative AI tools, 89 percent report working faster with AI assistance, and 91 percent say AI improves the quality of their designs overall. Designers who regularly use AI tools are 25 percent more likely to report job satisfaction. These figures cover a survey base that spans roles and company sizes, which suggests the shift is not limited to large studios with dedicated tooling budgets.

The central distinction

The key framing in the article is that AI addresses specific categories of work well and others not at all. As Almeida writes: AI handles the repetitive, the generative, and the structural — designers handle the strategic, the emotional, and the intentional. Layer naming and content replacement are good examples of the first category. Deciding which interaction feels right or whether a layout conveys the right tone are examples of the second.

Who this is useful for

The article is aimed at product and interface designers who use Figma daily and want to understand which AI features are worth incorporating into existing processes, as opposed to how these tools are typically presented in demo contexts. It is also useful for design leads thinking about where to adjust team expectations as AI-assisted steps become standard in shared workflows.