A Complete Guide about the AI in Design Industry

AI is gradually transforming the design industry in ways we could not predict just a few years ago. AI in the design industry is not only regarding robots and algorithms or anything—the idea is to let out what is mind-blowing with the AI design tools. 

Imagine this: They are even capable of proposing shades and colours that resonate the right chord; or even layout design that is most appropriate for your brand. Indeed, a survey on 1,000 creative workers conducted by Adobe found that 62% of the respondents assume that AI will affect their work in the next few years. On the same note, 41% of people want brands to adopt and incorporate generative AI in their customer experience in today’s society. Also, the perception of consumers with regards to the possibilities of brands using generative AI in the future as a way of enhancing interactivity and inventiveness and making products and services cheaper was positive. 

However, AI in design industry is not restricted to automatism of some sort of tasks as well as augmentation of efficiency. What has been said here is creative freedom, which means that designers should be allowed to be even more creative or, in other words, design even more complex objects while routine work can be trusted to the robots. Feeling the desire that with the help of a couple of clicks you can refine a 3D model? Done. Do you require UIs to be smarter and faster? You are in the right place; AI has got you covered.  

Referring to this guide it is possible to find out various aspects of using AI in the design industry. Idealogic team of Professionals will dissect the routes through which Artificial Intelligence is rewriting the landscape in certain critical areas of design, unveil to you current state of the art AI solutions that are shaping design today and explain how creative industries can use these technologies as part of their creative process. 

If you are a designer interested in the new possibilities that you can explore with help of AI-related programs and apps, or a newcomer who wants to know what trends will define the design business in the near future, this guide will introduce you to the basics of this technology so that you’d be ready for what’s to come. 

Are you ready for deeper search? Let’s jump in!

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AI in Design Industry: Areas of Transformation

The mechanism of design industry is gradually growing and artificial intelligence has a huge role in it as well. AI Frees up time for work that can only be done by a human being handling many functions such as automating repetitive tasks and supplying specific data which enhances the designers’ work in various designing fields. A survey by McKinsey states that 79% of the firms have implemented the use of AI to one degree or the other, and the arts industry is not immune to the trend. 

Let us discuss certain design industries in the influence of the contemporary AI design tools.

AI in Graphic Design 

In graphic design specifically, AI is already rewriting the entire creative canvas from scratch. Thus, it takes care of the mundane and the drudgery giving the designers a deeper sense of joy when practicing creativity.

Take Adobe Sensei, for instance. This AI design assistant looks at your work and specifically recommends layout options that complement your company’s image to give you the best outcome in a few minutes instead of hours. What about Canva’s Magic Resize? It instantly adapts designs to multiple formats, freeing you from manual resizing and letting you focus on the fun part: crafting a compelling visual narrative.  

Image generation has also expanded and also taken a creative leap forward. The applications, NVIDIA’s GauGAN and DALL·E, both based on deep learning, can generate photorealistic images from scratch starting from a text description. It is like having the ability to pour out your imagination but on the computer and have it create a different world completely, with few strokes of the keyboards.

Adobe's research reveals that Creative persons are already using AI to deal with their daily responsibilities in a 54%/32% split, with the former using it as a means of handling the routine tasks.

However, it does not end with all that. Metaphorically, picture a pen, which not only captures the attendants’ demographics and interest preferences but also recommends what colour caught their attention and what brand triggers them. Through predictive analytics, the designers are able to predict trends and design logos, and the entire visual brand appeal that communicates directly to the intended audience. By feeding it smart and useful tips on composition and readability, designers can make their visions much more effective.

AI in Product Design 

To be more concrete, the application of AI in combining fast product design with the high quality of the end product is an outstanding innovation in the industry. Machine learning and other advanced IT solutions give designers tools to analyze the outcomes, optimize time-consuming and non-core activities, and bring visionary ideas to market. The McKinsey report identified that organizations that apply AI in design and product development have realized a 30–40% improvement on time to market, and here is how it occurs. 

Thus, AI algorithms can gather large data and discover patterns and trends that will assist product designers to fit their creations into the marketplace. In this case, rather than designing a product and then take a guess-work whether the customers will enjoy specific features, designers get to have a heads-up of which features to include, which minimize the cases of design failures. For instance, the automotive industry where firms such as BMW utilize artificial intelligence in the design industry to identify customer preferences and future trends resulting into development of what the driver would desire next, sleek cars that are differently designed. 

AI has also affected the prototyping process in a big way. Among the most beneficial techniques is generative design, a technique that makes an algorithm analyze numerous potential viewpoints given that designers can set certain inputs, to then study the endless potential designs that would be difficult to design by hand. Such tools as Autodesk’s Dreamcatcher, produce tens of thousands of designs that are archived in terms of optimization to meet certain targets, such as reducing the part’s weight or gauging its material usage. It means that designers are able to cycle through designs at a fast pace and discover a period when optical design is equal to, for instance, electrical design in regards to cost-efficiency. 

Another important category is personalization and here, AI shows excellent results. Thus, utilising the concepts of AI, one is able to consider product design which is modular to suit the particular user profile. Nike is among the big organizations that rely on this technique whereby the company provides customers with shoes with some elements that are fully personalized to suit their personalities. 

Besides this, nowadays there is a great number of product design companies that can assist in applying the power of AI and creating great products. In this case, you are in luck because Idealogic is your perfect fit. Our experienced team and necessary tools are here to provide the best service. With our help, you and your company can create the products as masterpieces, which will be loved by the consumers and will revolutionize the market.

AI in Design: Top 14 AI-Driven Design Tools

Today we are surrounded with fantastic AI-based instruments that impact the work, the thinking, and even the existence of designers. Have a look at the some of the most popular AI design tools that is currently in the market and trending.

1. Adobe Sensei

Embedded on the Adobe Creative Cloud, Sensei has a machine learning functionality to perform repetitive and time-consuming activities such as image optimization, metadata assignment, and pagination. It evaluates your creativity and gives smart suggestions where, without suggestions, many hours might be spent on editing. For example, it can seamlessly erase unwanted subjects from the pictures or recommend the proper fonts that match your company’s identity. 

Currently, Sensei, AI and machine learning developed by Adobe exclusively for use in Adobe products, is already used in many aspects of Creative Cloud applications. Adobe Photoshop can also detect the subject and easily categorize them for sorting as well as perform intensive image manipulation such as colour adjustment, erasure of objects, and many others. Adobe XD is a tool where Sensei guides the designers to design layouts and manage them through the smart grid alignment feature to resize work properly. The AI in this case adapts to the way you work and choose content based on the smart context making it even more efficient in enhancing creative work.

2. Canva

One of the most famous design tools today is Canva, and although it is famous for the drag-and-drop interface, its AI is hidden here. With the help of such tools as “Magic Resize”, one can adjust the size of designs for the numerous Social Media formats, or “Design Suggestions”, which offers the necessary templates depending on the topic or category of the project. Even Canva’s AI helps in making changes to a picture and helps in searching for suitable stock photos or illustrations that would suit the overall design.

3. Figma Plugins

Figma is an efficient collaboration design platform and with the incorporation of AI plugins, it is even more efficient. For instance, the “Remove BG” plugin uses Artificial Intelligence Machine Learning technology to remove the backgrounds images at first instance. ”Font Preview” is useful in helping designers to arrive at the most appropriate font to use depending on the tastes they have. Other plugin integrates AI for drawing wireframes, selection of colors, and even generation of a prototype for a design, adding a lot of value to the design.  

4. Autodesk Dreamcatcher

Dreamcatcher is Autodesk’s new generative design tool that works as a model for product designers to create as many as thousands of design solutions based on the input criteria provided by the user. Designers establish objectives such as usage of less material, reduction of weight or strong and sturdy design and Dreamcatcher creates ideal design solutions.

5. DeepArt.io

This tool is based on the neural network that allows using artistic styles on images as a painter would. DeepArt. io breaks famous artworks and uses the same type of artistic techniques to the user’s uploaded photographs, so it combines styles. Graphic designers can choose less standard combining options in addition to turning their works of art into masterpieces with an extra touch of creativity.

6. UIzard

UIzard reduces the time required for moving from a paper sketch to a digital mock-up. Designers either draw their wireframes on paper, capture and save the photo in the UIzard application. The AI translates the layout, and with the click, to the digital UI elements. The platform also supports teamwork and rapid design iterations which make it suitable for the UI/UX specialists who want to share designs and develop proofs of concepts fast.

7. Designify

This is an image enhancement tool that removes the background of images, and introduces enhancements using machine learning algorithms. Designers can just upload the image, and Designify will recommend alterations such as colour correction, shadow, and lighting. The AI modifies the last output for it to appear professional, a task which in normal situations may require to use photoshop. But most of all it is helpful for making a lot of high-quality product images for the e-commerce or any kind of presentation.

8. Lumen5

This is a video creation tool that helps you convert your blog posts, articles, or any textual material into striking videos. Incorporated in it are features that involve the use of artificial intelligence whereby it analyses and associates key themes with suitable visuals, graphics, and soundtracks to create short, marketing and promotional social media videos. The interface of this tool is user-friendly and the editor can be dragged and dropped and users can fine-tune the content, making it easy even for a layman to build videos.

9. Sketch2Code

Launched by the Microsoft, Sketch2Code uses the capability to generate functional HTML from hand-drawn wireframes. Information can be either handwritten on paper, photographed, and then uploaded to Sketch2Code or any other interface can be drawn with a pencil, photographed, and loaded to the program by a designer. The AI learns from the sketches and produces the working HTML templates that can be optimized at the same time. This increases the pace at which web design takes place and guarantees that concepts are rapidly transformed into web format. 

10. Remove.bg

Remove.bg focuses on subject extraction from background, which is a routine but necessary process in graphic design. The tool operates with the help of the Machine Learning Technology and the process of separating the subject from the background takes just a few seconds. It is ideal for artists who develop minimalistic clean look product images or for those whose work requires cutting and isolation of people/objects to use in collages and advertising.

11. LogoMakr

LogoMakr is user-friendly and the first step, which is the AI quiz, is aimed at collecting information about your brand and industry. It has a wide variety of logo designs that the user can use freely. The logo creator is further divided into 3 categories; colours, icons and font styles where the AI helps in selecting proper combinations and designing a good looking logo even for the non designers.

12. Khroma

Khroma assists designers on colour schemes that are related to their style and flair. Once the application is learned the favourite colour combinations, it offers the user palettes, gradient pairs and offers text to background colour combinations. It is easy to use and the user can save their preferred blend and use it in generating different projects in Khroma.

13. Looka

Looka is another powerful logo creator that also operates in branding services. It enables you to give basic information about your favoured style of your brand and the preferred audience and provides a lot of logo designs and other facilities such as colours and fonts that your brand will be decorated with. Apart from logos, Looka is useful in creation of business cards, social media profiles, and website designs to ensure steady branding.

14. Let’s Enhance

This image enhancement application deploys deep learning to portray original images with increased brightness in a way that does not downgrade the picture quality. Based on the analyzed patterns and textures of an image, the new pixel data that AI generates is natural and smooth. That is why Let’s Enhance is useful for designers who use low-quality images or improve outdated photos for work.  

In combination, these tools provide a variety of features that can drastically alter the user’s designing experience. Never forget that Idealogic can assist you in applying the most optimal application of many of these various AI design tools that can enhance your work process and deliver superior designs pertinent for today’s lively fields.