Artificial intelligence in the creative industry: replacement of people or assistant


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The possibilities of neural networks are now being actively discussed in the media space, and artists fear them as competitors for commercial orders. Let’s figure out which business tasks AI is suitable for, and where humans are still indispensable

Artificial intelligence in design: pros, cons, pitfalls

Let’s start with the positives.

Speed. Artificial intelligence (AI) algorithms can complete tasks much faster than any designer, thereby saving significant time and increasing efficiency.

Price. AI algorithms can automate many tasks, reducing the need for manual labor and reducing costs. For example, the automated preparation of technical specifications for designers or the generation of several design options from which a specialist can build.

AI algorithms are capable of performing precise, detail-oriented work, which makes them ideal for solving certain design problems, such as generative graphics creation, brand identity design, website and user interface design, logo design, and so on.

It all depends on the request and the task, but it is important to consider that without understanding the processes, everything is narrowed down to the generation of objects and elements for the sake of those very objects and elements. Therefore, you need to build the right queries and be able to adapt and integrate the resulting solution into the product.

Now to the cons.

Dependence on human participation. AI is currently not capable of inventing anything entirely on its own. Accordingly, like any machine, a neural network must be trained—the system requires direct human participation, including design goals and training data. They are not capable of inventing themselves.

Lack of creativity. AI is not capable of true creativity – their designs are strictly limited to the given parameters on which they learn.

Inflexibility. AI algorithms are limited by their programming and may not be able to adapt to changes or new requirements.

It’s also worth noting that while AI has the potential to revolutionize the design and creative industries, it’s important to understand its limitations and limitations. Although it can perform certain tasks faster and more economically than designers, AI is not capable of true creativity and is directly dependent on human input.

Ultimately, AI is just a tool to help designers, but it is not a replacement for human creativity and intuition. The neural network creates a form that still has an idea behind it.

Where to apply artificial intelligence now

Following the conclusions from the previous part, AI is an effective tool to simplify the designer’s work and reduce time costs. Here are a few tasks where a neural network can help today:

Content Creation

AI can generate design artifacts: images, logos, illustrations, freeing up resources for designers to focus on user experience tasks and spend less time searching for a graphic element.

UX Design

AI can be used to analyze user behavior and make design changes to improve the user experience. Take Invision, for example , which has integrated artificial intelligence technology into its service to enable automated design specifications, image recognition and design proposals based on industry best practices.

Interface design

AI can generate designs based on user preferences, allowing designers to focus on creating the most attractive and convenient experience for users. This is how Uizard integrated AI into their platform to automatically create responsive designs.

Interactive Design

AI can be used to create interactive designs that respond to user behavior in real time, making them more engaging and intuitive. Google has integrated AI into the Flutter platform  , a fun, gamified way for millions of people to train Google’s artificial intelligence and machine learning models, helping products like Google Translate, Maps, and Photos better serve users across different regions and cultures.


AI can be used to generate font styles and layouts, reducing the time designers spend on it.

Font from the Austrian studio Process, created by a neural network (Photo: Process)
AI Type used AI in its platform to automatically generate fonts based on user preferences.

These are just a few examples of how AI is being integrated into the work of designers and companies. Using neural networks, tools are created to optimize work and reduce time costs, while maintaining creative control.

Additionally, it is worth mentioning Midjourney, ruDALL-E and similar services that convert text into a graphic element. A service built on a neural network allows you to create an image quickly, beautifully and effectively, but it cannot independently form the context – the latter always remains on the side of the person. And with the correct work of a specialist, the tool allows you to create excellent graphic elements that can be adapted for a specific task.

What will a neural network not be able to take on in the near future? And what does this mean for professionals and companies?

While artificial intelligence has the potential to revolutionize many aspects of the design and creative industries, there are certain tasks that it is not yet capable of and is unlikely to be capable of in the near future. These tasks require a level of creativity, intuition and empathy that is beyond the capabilities of algorithms.


AI algorithms cannot generate new ideas or concepts, they can only work with what they have been trained to do. Designers and creative professionals will continue to play a major role in developing project concepts.

Emotional connection

AI algorithms are unable to create an emotional connection with an audience through design. Designers bring their own experiences, perspectives and emotions, allowing them to create designs that resonate with their target audience.

Cultural sensitivity

Artificial intelligence is unable to understand cultural codes and its inherent nuances, which means it can create designs that are insensitive or offensive. Designers with a deep understanding of cultural differences will continue to play an important role in ensuring that design is culturally appropriate.

Human-centered design

AI algorithms are unable to take a human-centered approach to design because they are unable to understand the needs, wants, and experiences of users.

These limitations mean that designers and creative professionals will continue to play a critical role in the creative industry—there will always be a place for human intuition in these areas. Companies and organizations must invest both in AI technologies and in the development of their own employees in order to be able to use the benefits of AI to the maximum, thus building a “partnership” interaction between man and machine, where AI can be an excellent tool for saving time and resources for implementation .


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