What Skills Do You Need To Be A Graphic Designer?

What Skills Do You Need To Be A Graphic Designer?

Over the last few years, artificial intelligence (AI) has advanced from the periphery of commercial activity to the foundation of business strategies in almost every industry imaginable. From wellness and shopping through energy and manufacturing, artificial intelligence has unquestionably entered the mainstream.
Although the power of AI is limited only by intuition, it is almost often used to improve processes, maximise efficiency, and minimise costs. This prompted many people to wonder whether they would be affected, and it created confusion regarding job protection.
With no industry left untapped, artificial intelligence is transforming not just administrative, process-based, and repetitive functions. If you’re interested in pursuing a career in graphic, web, or UX UI design, you can enrol in Blue Sky Graphics’ online graphic design course.

Robotics would not be able to take the place of user experience designers.

The UX Designer job would not become obsolete in the face of advanced technologies. AI represents an enormous potential, not a danger. However, one might argue that artificial intelligence would eventually surpass today’s creators and completely transform the job as we know it. If this is so, how will tomorrow’s designers look?

What Skills Do You Need To Be A Graphic Designer
What Skills Do You Need To Be A Graphic Designer

How the function of UX designers has evolved and will continue to evolve

Until the early 1990s, artists held specialised and well-defined roles such as Graphic Designer, Web Designer, and Industrial Designer. Since then, the lines have blurred, and we today have multi-skilled designers with a range of skills in product planning, customer experience, and user interface engineering, both with an emphasis on interaction, understanding, and the end user.

It is anticipated that UX designers will evolve into ‘Systems Designers’ or ‘Behaviour Designers’ in the not-too-distant future, feeding feedback, details, and instructions to AI algorithms through a set of requirements, restrictions, and objectives to determine the behaviour of automated systems.

Is AI really going to fundamentally alter the position of UX designers? Are we at risk of squandering raw manufacturing and production talent and skills?

How Artificial Intelligence Assists User Experience Designers

According to a Pfeiffer survey, 62% of design professionals believe that artificial intelligence and machine learning can be extremely useful in their creative roles. Additionally, 76% of respondents say their creative ability has increased in the last few years.

In many ways, artificial intelligence and user interface design are inextricably linked. For example, just as artificial intelligence is dependent on continuous learning by data analysis, UX architecture is a continuous phase of testing and optimising in response to user feedback.

As AI is integrated into the UX architecture, it performs the optimization process. Technology is capable of quickly collecting and analysing massive amounts of data, even quicker than humans. This expertise may be used to automate A/B testing, to interpret test results, and to make relevant product or design changes. The protocol would then be restarted by testing additional concept elements.
Although it may seem as if artificial intelligence does all the work, it often requires input from the designer. In practise, AI systems and programmers will coexist. The programmers will make the decisions, feeding facts, laws, and requirements to the algorithms, which will then execute the tasks.

With this example in mind, there are many forms in which AI may help designers develop their skills, including the following:

Eliminate repetitive and mundane tasks to increase productivity.

Empower developers to make more informed quality choices through the use of a diverse set of data points
Enhance the capabilities for data processing and optimization
Stabilize concept structures Additionally, for their clients and end users:

Increase the customizability of the user interface

Increased conversion rates as a result of hyper-personalization and the significance of particular users
Indeed, how does this appear?

AI tools that benefit user experience designers

You might also be using artificial intelligence in the production work without being aware of it. For example, regardless of whether you use Adobe applications, you are likely to use Adobe Sensei – a layer of information that enables functionality that leverage artificial intelligence and deep learning to enhance the user experience.

Among the features driven by Adobe AI are the following:

Deep learning enables you to more quickly explore the properties that are most suitable for your idea.
Machine learning will assist you in comprehending how customers behave and anticipating their needs.
Uizard is another tool that leverages AI to expedite the design phase. It converts hand-drawn wireframes to digital drawings, sketch folders, and front-end javascript in seconds, saving UX Designers hours of time.

Download Extensions

Figma recently published over 40 extensions, many of which use deep learning to automate repetitive tasks. Similayer, for example, allows you to choose several layers simultaneously that share the same properties or elements. This enables designers to make more precise adjustments to text, colours, and other design elements.

However, using AI to accelerate or automate UX architecture is not always effective. Consider The Grid, a web design company that attempted to use artificial intelligence and a bot called Molly to ‘assist websites in self-creation.’ After years of development and millions of pounds in expenditures, The Grid failed to keep its promise. Here’s why…

Users were required to choose a colour palette, font, and gui style in order for The Grid or Molly to build a website. The Grid will then add some content and, with these very limited design preferences, build a website.

However, if users are dissatisfied with the outcome, they have few options for modifying Molly’s artificial mind, since they lack the ability to change the design themselves. The designs lacked imagination and were very similar. At the end of the day, customers were unaffected by the lack of choice and control.


Contrary to the inevitable scarecrow, with the examples of how artificial intelligence is used in design, it is clear that it will benefit artists rather than steal their jobs.
Business has grown and will continue to develop as a result of revolutionary and emerging technologies, and in order to remain competitive, we must adapt to our climate.

This implies that colours are relative—we do not view them individually; rather, we perceive them collectively. A colour is said to be red if it is “redder” than its neighbour, and white if it is brighter. For further information on integrating colour into your artwork, check out this informative guide to understanding colour theory.

Shading Digitally

As a beginner, the day will come that you want to increase the sophistication and scale of your artwork. If you’re going to blend, hatch, or stipple, artificial shading can be very relaxing.

Check out our online graphic design course at Blue Sky Graphics, where we walk you through the fundamentals of digital shading using a ribbon illustration. You might be wondering that there is a ribbon. If you master the ribbon, you’ll be prepared to work with more challenging textures and shapes. Understanding the principles of ribbon shading would benefit your practise significantly.