We are entering a new era of creativity, where generative AI is expanding access to powerful new workflows and unleashing our most imaginative ideas. Adobe’s Sneaks offer a “sneak peek” into what’s ahead, and at this year’s MAX Sneaks session — hosted by actor and comedian Adam DeVine — Adobe research scientists and engineers demonstrated for the first time several cutting-edge, experimental technologies that could someday become features in Adobe products.
This year, many of the MAX Sneaks leverage generative AI, providing creators with innovative new tools spanning multiple mediums — including photo, video, audio, 3D and design — that can take creativity to a whole new level.
Watch the full Sneaks session and read more about this year’s finalists below.
What are you seeing?
Layered, type-driven design inspired by 1980s advertising is on the rise, and along with it, a worthy opponent (finally) for the sleek, buttoned-up visual world of the last decade. In its purest iteration, the throwback ’80s editorial trend is text-heavy, with layouts comprised of a single, often silhouetted or gradient-backed image, a punchy headline, and supporting narrative copy. The most recognizable component of the trend is arguably its widespread use of condensed serifs like ITC Garamond Condensed or Editorial New—typefaces that just a few years ago would have been relegated to body copy, and certainly never run large as headlines with such tight tracking—as well as the occasional bold sans (a holdover from the Lubalin era) like ITC Kabel.
This aesthetic is most readily associated with 1980s advertisements by Apple, which pioneered the look with its launch campaign for the 1984 Macintosh, along with New Balance (Steve Jobs’ shoe of choice: a coincidence?) and car companies like Honda or Dodge. Arguably, this narrative approach to selling products can be traced back even further, to 1960s advertising titans like William Bernbach and David Ogilvy’s respective work for VW and Schweppes.
LookX
Founded in Shenzhen in 2016, Xkool was among the first AI tools trained specifically for architects, with the English-language version of the platform, LookX, based in Los Angeles.
With the help of deep learning, LookX's tools enable users to generate visualisations of projects with fine-tuned parameters that take account of style, requirements, cost and regulations.
Dezeen recently interviewed LookX co-founder and CEO Wanyu He.
Dozens of AI tools are emerging that could dramatically alter how architects and designers work. As part of our AItopia series, Dezeen rounds up 10 of the most significant.
Architects and designers are used to working with new technologies, but the rapid progress of artificial intelligence promises to usher in a wave of products that could shake-up the creative industries.
According to venture capital firm A/O Proptech, AI startups focused on the built environment have raised $12.3 billion in funding in the last three years.
Below is a list of 10 of the most significant, which was curated with the help of architects and researchers Neil Leach and George Guida.
The Intersection of Technology and Design
As we embrace the digital age, the line between design and technology is becoming increasingly blurred. From AI-powered design tools to VR experiences, technology is changing the way we design and experience the world. In the future, we might see designs that adapt in real-time, or spaces that blend the physical and virtual seamlessly. But no matter how much technology evolves, one thing remains the same - design is about solving problems, and creating meaningful experiences for users. Stay curious, keep exploring!
The Impact of Minimalism in Modern Design
Embracing minimalism has been a transformative trend in modern design. A clean, uncluttered aesthetic not only brings a visual appeal but also enhances user experience, making interactions more intuitive and effortless. But remember, "minimal" doesn't have to mean "cold" or "sparse." Effective minimal design layers elements like color, texture, and negative space to create a design that's both functional and inviting. The challenge is to simplify without losing substance. Less is often more!
💡 "Designing with AI: A harmonious collaboration! Join me on a journey where human creativity and artificial intelligence come together to unlock new realms of innovation. Let's push the boundaries of what's possible in design. #AIDesign #HumanAIcollaboration"
AI has revolutionized various fields, and web design is no exception. It offers a variety of benefits and improvements, enabling web designers to create better, more efficient, and accessible web solutions. Here are a few ways AI is implemented in web design:
Automated Web Design and Development: Platforms like Wix's ADI (Artificial Design Intelligence), Firedrop, and Bookmark use AI to automate the process of web design. They can create a basic website design based on user inputs like site purpose, preferred style, and required features. They greatly reduce the time required to get a website up and running and can often deliver designs that would be complex or time-consuming for a human to implement.
User Experience Personalization: AI can be used to tailor the website experience to individual users, analyzing their behavior to offer personalized content or layouts. It can track user interactions, dwell time, clicks, and more to understand user preferences and customize the website accordingly.
AI Chatbots: AI chatbots have become a popular way to engage visitors, answer their queries, and provide support. They can be designed to learn and improve their responses over time, providing an almost human-like interaction.
Accessibility: AI can make websites more accessible. For example, it can be used to provide automatic image descriptions for visually impaired users, or predict and correct potential accessibility issues in the design phase itself.
A/B Testing: AI can be used to improve A/B testing processes. It can rapidly test different variations of a design element and use machine learning to predict which ones will perform better, reducing the amount of time needed for effective A/B testing.
Predictive Analytics: AI can be used to predict trends and user behaviors, helping businesses to adapt their strategies and web designs accordingly. This might involve using machine learning algorithms to identify patterns in user behavior, or to predict how changes in design elements will affect user engagement.
Search Engine Optimization (SEO): AI can optimize a website's visibility on search engines by analyzing high-ranking content and suggesting adjustments in website content, meta tags, or structure.
UI/UX Design Improvement: Machine Learning algorithms can analyze vast amounts of data about how users interact with a site, and what their preferences are. This data can then be used to automatically generate UI/UX designs that are predicted to be effective for the specific user demographic.
These are just a few examples of how AI is being used in web design. As AI continues to evolve, it's likely that its use in web design will only increase, making web design more efficient, personalized, and user-friendly.
🎨 "Embracing the digital canvas! Today, I'm diving into the world of digital design, where creativity knows no bounds. Join me as we explore the infinite possibilities of colors, shapes, and textures. #DigitalDesign #UnleashCreativity"