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A Complete Guide about the AI in Design Industry

Viktor Zhytomyrskyi
·
May 13, 2024

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 UI/UX Design 

In the case of UI/UX design, AI is applied to make the interfaces more intelligent, efficient and engaging to the user. Notably, a Forrester report revealed that firms, which implement AI to individualize the customer relationships, get high revenue growth rates varying between 10-15%. 

It must also be pointed out that AI approach work on the excellent point that it can scale the analysis of user behavior. It is possible to learn from people activity while using applications and web-page in order to define patterns. These things help designers to think about users’ behaviors and design the given site’s paths in such a way that removes obstacles.

Netflix is a prime example: it uses a recommendation engine that adapates to the interests of the viewers and gets them to be loyal to the service. 

AI in design also plays a great role in A/B testing of the interfaces and helps to create the better ones. The traditional setup can take some time; however, with the help of machine learning feedback that is offered by AI, it is easy to cycle through the layouts and enhance the calls to actions, color contrast, or buttons positions as perceived by the eyes of the general public.  

Another application of Artificial Intelligence that can be pointed out is the voice and gestures. Thus, Natural Language Processing (NLP) allows conversational UI to provide responsive human-like interactions. Many service interfaces are now dynamic, responsive and user-friendly such as virtual personal assistants: Amazon Alexa as well as chatbots incorporated into the customer’s service system which imitate a conversation with an actual individual. 

And we should not forget predictive design. AI can predict the future trends and user requirements and with the help of this designers can develop responsive interfaces that go well with the audiences. Having analysed the previous successes and failures of design, AI design tools can offer suggestions that are stricter than the user’s definition of expectations, thus lightening the cognitive load and making the digital design a more pleasant experience.

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AI in Web Development

Today, web development is on the AI side; the accessibility to web development is advanced and knowledgeable more than ever. The need for businesses to deliver enhanced online presence continues to apply artificial intelligence in optimization of online services. According to a survey carried out by HubSpot it was discovered that 63% of organizations reported higher levels of website interaction after the integration of AI functionality.   

Quite evident is website customization or more correctly known as web personalization. AI algorithms analyze user behavior, demographics, and preferences to deliver only content that resonates with individuality of visitors. For example, Amazon employs AI to recommend products that are relevant to the customer’s browsing history; this is effective in conversion rates and customer satisfaction.

The fourth competency that comes into play in web development is automation and here again, AI stands out. Programs, such as Wix ADI and Bookmark’s AiDA, can instantly create functional websites in response to rock-bottom questions about a brand’s identity, its owner’s taste, and its goals.  

AI also adds lots value in dealing with issues that relate to website securities. Cybersecurity tools rely on machine learning algorithms to detect and counter the new patterns such as DDoS or phishing before they can act. Such preventive measures are useful in safeguarding both business information and the users’ data. For instance, Cloudflare uses artificial intelligence to watch traffic performances and look for suspicious traffic activities in real-time. 

Furthermore, the interactive interfaces such as chatbots have also become very useful in enhancing the web development customer experience. Customers’ questions can be answered anytime through AI-powered chatbots while customers are easily led through products and services by AI. Solutions like Drift and Intercom not only allow customers to receive immediate support, but collect useful data to optimize company’s approach to clients. 

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.

Benefits of Using AI in Design Industry

Artificial intelligence has stormed the design industry and this is easily understandable given the benefits. In the development of new exhibits, product designs, website interfaces, and more specific customer-oriented marketing images, AI is helpful in these aspects.

Efficiency and Productivity

Boring and monotonous activities are one of the biggest enemies of creativity. Fortunately, in the modern world, the tasks such as background removal, colour correction, layout adjustment, and many others are easily solved by using AI design tools, thus, freeing up designers for more important and creative solutions. Auto tagging which is intrinsic in Adobe Sensei for example, can prove to be helpful in the arranging of media assets meaning lots of time would be saved. By using data from McKinsey, it is indicated that companies that have integrated AI in to their systems experience a rise in productivity ranging from 30-40%.

Creativity Boost

If the groundwork is controlled by AI technology, designers can spend more time on ideas that would look bright and creative. Generative tools such as Autodesk Dreamcatcher is a form of generative design tools that experiment with thousands of solutions, which could be optimized for and are conforming to a given set of restrictions. It does so by including fresh perspectives and solutions otherwise not possible through other approaches, and in AI in design a solution is generally less rigid and more creative.

Personalization and Customer Focus

Another critical facet of customer orientation applies to many fields, including UI/UX and web design, as the carefully selected and tailored content or well-adapted layout would make a massive difference to a site’s traffic. The use of AI in recommending a show or a product on Netflix, Amazon boosts the satisfaction of the customers. 

Faster Prototyping and Testing

Depending on the domain, with product and web development in particular, rapid prototyping is critical. AI approaches are able to create prototypes in minutes and apply automation to the A/B tests to determine which design performs the best. Based on Microsoft, Sketch2Code is an application that transforms sketches into HTML prototypes and saves the time on coding. On the other hand, AI embedded A/B testing applications such as Optimizely provide real time feedback to designers. 

Consistent Quality and Reduced Errors

Since the use of AI comes with the ability to provide real-time feedback, problems like poor colour contrast or elements misalignment or variations across multiple designs are areas that may arouse concerns with AI feedback. When a style or design is checked automatically with the help of technologies, AI reduces the chance of mistakes and assures that only ideal and accessible designs are developed. 

AI in design industry provides a synergy of effectiveness, innovation, and client orientation. Idealogic simplifies the identification of AI design tools required to adapt the fragile design trends by relating to your imaginative orientation.

Idealogic: Your Best Design Partner

As more and more new AI design tools emerge every month, the question is not only which tools to choose, but also who will successfully accompany in this design transition. Of course, in Idealogic, we believe that it is our duty to comprehend the subtlety of contemporary patterns of AI and their applications to increase the creativity of your team. 

When you work with Idealogic, you will work with a team of actual design enthusiasts who like to implement a creative approach with the help of modern artificial intelligence. With us, the best tools and strategies that can respond to your brand’s need will be selected with your assistance. Whether you need more efficient workflows, want to have a better website, or designed prototypes that customers will enjoy, we are here to help you!

We constantly monitor everything that is taking place within the industry to ensured that your design strategies are not only up to date, but are ready for tomorrow. With Idealogic's support, your team will have the creative freedom to focus on what matters most: creativity and esthetics.

Are you ready to take the next step?

Let Idealogic be your partner in the next generation of design, and together, let’s turn your design processes into the extraordinary! Contact us today to claim your free consultation, and find out how we can implement AI in design for your business.

Hand in hand, we will build a creative future that is different!

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