Let's get this out of the way: AI's impact on web design has been overblown. Designers won't be replaced by anthropomorphized AI bots named Molly and Sacha— at least not anytime soon.
But hyperbole shouldn't dismiss promise. Web design is a complicated, creative process with sub-problems that AI can address.
Peter O'Donovan researches design intelligence at Adobe. He shared a few potential solutions to some of these sub-problems:
Exploration— trying different layouts in order to see how they feel— is a critical but labor-intensive part of design. Donovan created Designscape, a tool that helps designers with exploration.
Designscape uses a subset of AI called machine learning to suggest layout variations— letting designers shuffle through alternative designs as a way to explore and brainstorm:
Choosing a font is intimidating— the wrong font can lead to ridicule. At the same time, the interface for choosing fonts has never changed. It's always been a dropdown:
But machine learning could suggest fonts— especially if the intent and aesthetic behind the design is known.
For example, a designer with a preference for clean layouts (aesthetic), working on an architecture website (intent) might be suggested Helvetica or Gotham:
Choosing colors is another difficult design problem. I've been designing websites for fifteen years and choosing a color still intimidates me.
But if we know the intent (example: wedding website) and aesthetic (example: muted) a color picker powered by machine learning should be able to make intelligent suggestions.
Maybe one day, but not anytime soon.
The Grid is the most well-known company promising this. It generated enormous hype by promising an AI website builder named Molly that "could design websites from scratch." It was covered by Wired and Forbes. Fast Company called it "the website of the future."
Unfortunately The Grid has been a total flop. It ranks dead last in customer satisfaction among website builders:
The Grid demonstrated a strong public desire for AI website builders— so other website companies have follow suit.
Wix launched ADI, an "Artificial Design Intelligence" tool, in 2016. They claimed it would "set a new standard for web design."
But two years later, their goals seem much more modest. Mostly ADI is used as a way to personalize existing templates. Nitzan Achsaf, Head of Wix ADI told me he sees AI as more of "a means-to-an-end and not the end."
But like ADI, Dolphin is mostly a personalization wizard— it customizes website templates with personalized content:
Sure. But the truth is, creating an AI bot that takes over design is really, really hard.
Part of the problem is it's difficult to understand the structural semantics on any webpage. Ranjitha Kumar, professor and creator of Webzeitgeist, explained to me that "the web is a mess. Even though a web pages DOM is a structured document, it's very difficult to infer the structural semantics of what is being presented."
Basically it's remarkably hard to tease out meaning from a design. Is a wide DIV container with a background image and text a hero image or just a regular content section?
In Ways To Think About Machine Learning, Benedict Evans explains that in the 1950s people imagined all-purpose, humanoid robots doing housework— but what they actually got was specialized appliances: washers and dryers.
He could have just as easily been talking about AI and web design.
One day AI bots may completely replace designers— but that day is not here yet. In the meantime, there are promising ways that AI could help designers and make their job less labour intensive.
Subscribe for more posts on the future of web design: