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How Can AI Use Data to Predict Design Trends?

Written by: Danesh Ramuthi

Nov 09, 2023

Predict Design Trends

Imagine a world where the next big design trends are foreseen through the lens of AI.

In this article, I will explore this potential, discussing how AI, with its ability to analyze complex data, could be key to anticipating shifts in design trends.

I will also look into understanding the integration of AI in design, envisioning the design landscape of 2024 shaped by AI and AI-driven creativity tools and the ethical debates they ignite. 

Join me as I explore the exciting potential of AI as a future trendsetter in the creative industries.

Click to jump ahead:

Understanding AI in the design

AI’s integration in design is multifaceted, enhancing creative processes, changing organizational dynamics and requiring a strong focus on human’s creative input. 

Here are some key insights to understand AI better when it comes to its unquestionable role in design: 

1. Evolving role in problem-solving and adaptability

Design is increasingly seen as a problem-solving activity for people, rather than just a visual or aesthetic task. AI’s role in design has been transformative, continuing the tradition of technology influencing design practices. As AI takes on more tasks, designers are advised to remain intentional in their work, adapt and learn alongside technological advancements.

2. Flattening of organizational structures

AI is predicted to flatten organizational structures within design teams, allowing for more individual autonomy and creativity. Generative AI, particularly in product design, can expand possibilities for exploration and creativity, leading to more innovative results.

3. Generative AI and creativity

Dall e homepage

Source: Screenshot from OpenAI

Generative AI algorithms that create new content from existing data are increasingly popular. Known models like LLMs, GPT-3 and DALL-E have gained mainstream exposure, demonstrating AI’s ability to mimic human creativity. In 2024, generative AI is expected to be used more frequently for creating synthetic data for various business purposes.

4. Creative input as key to unlocking AI’s potential

The creative input of humans is seen as essential in utilizing generative AI effectively. Designers and writers are considered co-pilots in interpreting and refining AI-generated content. The emphasis is shifting towards the core creative idea, as AI enhances the production process, especially in smaller agencies and for freelancers

How can AI identify emerging trends in design using data?

It’s true that not many experts are talking about how AI can use data to guess what the next big things in design will be. 

A quick online search shows there’s not much out there on this topic. In fact, most of them talk about the tools and how it can be more efficient etc. 

But it’s really important to look into this. 


Because knowing what might be popular before everyone else does can give you a big advantage, especially if you work in design. 

What I am about to share here are some smart and creative ways, specially made for using AI to figure out what design trends might pop up next. 

Here are some ideas that could actually work:

  1. Using pattern recognition and analysis

AI systems are adept at identifying patterns in large datasets. By analyzing past and current design trends across various industries, AI can identify recurring patterns and predict future trends. 

For instance, AI can analyze color schemes, shapes and materials that have been popular in the past and project their relevance in future designs.

AI algorithms, through the examination of vast data sets, can detect connections, dependencies and repeated patterns. 

This valuable insight assists designers in comprehending user behaviors, spotting emerging trends and foreseeing future preferences.

  1. Social media and online content analysis

AI can scour social media platforms and online content for emerging design preferences. It can analyze posts, hashtags, likes and shares related to design to gauge public interest and predict upcoming trends. This method is particularly effective in capturing real-time shifts in consumer preferences.

 Geostyle Homepage

Source: Screenshot from Geostyle

For example, let’s talk about the GeoStyle tool. It uses convolutional neural networks to analyze millions of social media images, identifying regional trends and styles in fashion. 

The tool can also be modified to identify trends in design or people can create a similar tool for our use cases. 

  1. Consumer behavior analysis

AI can analyze consumer behavior data, including purchase history, online browsing patterns and feedback, to understand what designs resonate with the audience. 

Such analysis is instrumental in anticipating future popular design elements.

  1. Collaboration with design tools

Integrating AI with design software and tools enables the provision of real-time suggestions and alterations based on current styles and user preferences. 

This synergy aids designers in crafting products that align with anticipated trends.

For example, when a user designs a marketing brochure, the AI suggests color schemes, fonts and a lot more, helping the user create a more appealing and trendy design.

  1. Sentiment analysis

AI conducts sentiment analysis on customer reviews, forum discussions and social media conversations to understand public opinion on specific design elements. 

Leveraging this feedback, AI can predict the reception of future design styles.

  1. Market analysis

AI evaluates market data, including sales statistics, demographic details and economic trends, to discern successful designs across different market segments. Through this evaluation, it will become easier to forecast which design elements will resonate with specific demographic groups in the future.

  1. Competitor analysis

AI keeps a vigilant eye on competitors’ design choices and trends. 

Insights gained from this monitoring assist in predicting which design features are gaining industry momentum and are poised to shape future trends.

Here’s a practical example for clearer visualization. 

A branding agency uses AI to monitor the branding strategies and design choices of leading competitors. 

The AI identifies a shift towards minimalist logos and brand identities. 

The agency adapts this insight into their work, creating more refined and simplistic brand designs for their clients.

  1. Combining diverse data sources

By integrating and analyzing data from various sources – including fashion shows, design exhibitions, interior design magazines and architectural trends – AI can provide a comprehensive view of the design landscape and predict future trends with higher accuracy.

AI & design trends for 2024

As we look into the year 2024, there are some really interesting changes coming up in AI and design. 

I am excited to share these with you and invite you to read about them. 

These trends are about mixing new technology with creative ideas in cool ways.

So, let’s check them out together and see what’s new and exciting in the world of design!

  • Quantum AI: Quantum computing is set to make significant strides in AI, particularly in areas requiring complex problem-solving. The advancement could profoundly impact data processing and AI capabilities in design fields​
  • Next generation of Generative AI: AI’s capability to create complex narratives, musical symphonies and even assist in creating bestselling novels is poised to grow. Multi-modal generative AI, which can harmonize various inputs like text, voice and visual cues, could revolutionize design processes by offering integrated, multi-layered creative solutions
  • Immersive 3D design: The integration of 3D elements in graphic design is on the rise, with technology like AR and VR pushing boundaries. With these advancements, designers can create lifelike, immersive experiences, revolutionizing brand communication and user engagement​.
  • Cyberpunk aesthetics: The cyberpunk style, characterized by neon colors and futuristic elements, is expected to gain popularity in graphic design. This trend is ideal for projects aiming to convey a futuristic or edgy vibe​.
  • Typography takes center stage: Creative typography will become a more dominant aspect of graphic design. Experimentation with unique typography styles and kinetic typography will be key trends, adding dynamic elements to designs
  • AI assistance in graphic design: AI is increasingly being used for streamlining design processes like brainstorming, concept creation and generating multiple design variations. 

The future of design: AI-Driven creativity tools

The landscape of design is rapidly evolving with the integration of AI-driven creativity tools. 

These advancements are reshaping how designers approach their work, offering new possibilities and also presenting unique challenges.

Enhanced creativity and efficiency

  1. Automated design processes: AI tools are increasingly capable of automating certain design tasks, such as layout generation, color scheme selection and even some aspects of user interface design.
  2. Data-driven design decisions: AI algorithms can analyze large sets of data and automate data entry tasks to inform design decisions. This includes understanding user preferences, market trends and the effectiveness of certain design elements, leading to more user-centric and successful designs.
  3. Personalization at scale: AI enables the customization of designs at a scale previously unattainable. Whether it’s for marketing materials, website interfaces or product design, AI can tailor experiences to individual user preferences and behaviors.

Collaboration between human and machine

  1. Learning and adaptation: AI tools learn from each interaction and can adapt to a
    designer’s style and preferences over time, becoming more efficient and intuitive to use.
venngge accessible design tool
  1. Accessible design creation: AI-powered solutions, like those offered by Venngage Accessible Design Tool, such as effortless color selection, AI-powered alt-text generation, comprehensive accessibility testing, accessible design examples and templates guarantees that the final products are not only aesthetically pleasing but also universally accessible.

Future prospects

  1. Continued integration and evolution: The integration of AI in design tools is expected to continue, with more sophisticated and intuitive systems being developed.
  2. Education and skill development: As AI tools become more prevalent, there will be a greater need for designers to learn how to effectively collaborate with these tools. Educational institutions and professional training programs will likely adapt to include AI-focused design skills.
  3. New forms of design: AI might lead to entirely new design disciplines or subfields, as the combination of human creativity and machine intelligence opens up previously unexplored avenues.

Debating AI ethics in design

The debate around AI ethics in design encompasses a range of concerns and perspectives, reflecting the multifaceted nature of AI’s impact on design and society. The integration of generative AI into design tools like Adobe Firefly and Gamma has sparked a complex situation for professional designers.

While AI can enhance productivity and enable the creation of new interfaces, there is concern about its impact on the employment opportunities and creative agency of designers. Designers are also grappling with the responsibility of disclosing their use of AI in co-designed digital content​.

From a design perspective, AI’s ability to automate problem-solving and creativity raises questions about the future role of human designers. 

The ease of generating content through AI prompts concerns about the erosion of human creativity and problem-solving skills. This tension is evident in the debate over whether AI-driven design diminishes the uniqueness and authenticity of human creative processes​

On the other hand, some view AI as a tool that can handle repetitive tasks, freeing designers to focus on more strategic thinking. This perspective sees AI as an enabler rather than a replacement for human creativity, suggesting that AI’s limitations in generating original ideas and understanding human desires can be complemented by human designers​.

However, there is a consensus that generative AI may pose more significant challenges for junior designers, as it can perform many of the tasks typically assigned to them, such as creating initial drafts or ensuring design precision.

Regulation is a key aspect of this debate. The EU’s AI Act is an example of an attempt to regulate the use of AI, aiming to ensure transparent and ethical use while maintaining human control over machine intelligence.

The Act proposes banning AI technologies that cause physical or psychological harm, such as social scoring and manipulation.

However, the Act’s implications for business operations, especially in non-personal data areas like risk assessments for commercial loans, are significant, introducing new complexities and requiring a reevaluation of AI’s role in decision-making processes​.

While AI offers significant advantages, its potential to diminish human creativity necessitates careful consideration and regulation.

Wrapping up

In 2024, AI’s role in shaping & predicting design trends is expected to be significant, leveraging vast data sets to identify and anticipate shifts in design preferences and styles. 

AI-driven creativity tools promise to revolutionize the design process, offering new ways to conceptualize and execute ideas. 

However, this technological advancement brings ethical considerations to the forefront. 

Debates around AI ethics in design focus on the impact on human creativity, employment, societal biases and the necessity for appropriate regulation and ethical guidelines. T

The future of design with AI is a balance of embracing innovative tools while navigating the complex ethical landscape they inhabit.