Can Designers Rely Too Much on AI? Risks, Realities & Best Practices

Ever since the advent of Artificial Intelligence, or AI, there has been no stopping it. AI has spread all across the world like an electrical fire. It has seeped into industries, influenced how companies operate, and changed our lives for better or for worse. What it has especially done is impact the employment of people in most industries, designers included.

Design, as a profession, is about planning and creating solutions, systems, or objects to solve problems. The design of a product will not only make it more aesthetic but also efficient. For example, a chair, no matter how it’s designed, will always need to be comfortable to sit on. The numerous designs will only make each of them aesthetically pleasing.

The need for design only comes about if there is a problem that requires solving. Designers only step in to identify the problem at first, analyze it in every possible manner, and then try to provide the solution. In most design fields or specializations, several mundane or repetitive tasks usually require manual labor.

Traditionally, in the absence of AI or any kind of computer data, these tasks had to be done by employees hired by the company. They would not require much design-thinking, and would be a tedious task done repeatedly. This kind of work can now be done with the aid of AI for a much lower price. That serves as a huge problem for a lot of employees.

But keeping the impact of AI on jobs aside, AI is also being used by designers to help them think and make decisions. That too can cause a lot of problems for the designers. Relying on AI can be a slippery slope. But the slip happens over a very long period of time, and one finds themselves deep in the swamp before it’s too late.

In other words, you won’t notice that AI is affecting your thinking capacity, design acumen, or problem-solving ability at first, since it’s making your job really easy. However, since this reliance will continue, as it’s advantageous and there is nothing to stop it, designers will never need to find themselves in tough spots. It will be a very comfortable job. But finding themselves in tough spots had its hidden advantages.

Designers, for the most part, were doing the work themselves without much aid. This enabled efficiency, thought-provoking, and coming up with solutions all by themselves. It was an effective way to learn, grow, and adapt to newer challenges. With AI, that tough spot has been replaced with comfort.

This stunts learning and thereby growth in designers. So, once again, while designers can rely too much on AI, they need to be cautious of these slow-paced dangers, which might be irreparable. Habitual change is the easiest thing to slip into, but the toughest thing to get out of.

When designers rely too much on AI, they risk a variety of factors, such as weaker core skills, less originality, and a hollow design process by skipping essential learning stages. These are the factors that may hinder a designer’s skills if they start using AI a lot:

How Overusing AI Can Weaken a Designer’s Skills?

1. Poor Fundamentals:

While a designer can’t lose all his/her skill set, they may get extremely weak over a period of time. Skipping manual iteration with AI stunts growth in core skills like composition, typography, and problem-solving.

2. Lack of Originality:

AI generates from existing data, remixing old ones rather than truly novel ones. This is where human intervention proves priceless.

3. Lacks a Storytelling:

Every single design, be it a product or experience, tells a story that is unique to that product and that brand. Take the iPod, for example. However, those stories and the deep understanding behind a design are lost once AI is brought into the picture. It turns it into a hollow process.

4. Diminished Critical Thinking:

Excessive dependence can reduce a designer’s ability to think critically and generate novel ideas independently.

5. Loss of Human Touch:

Empathy, cultural context, and emotional depth are just some of the most important features in design. AI-use devoid of human touch strips a designed product of these features.

What could be the solution to this reliance on AI, that may soon turn into an overreliance?

As it turns out, the best possible solution going forward for designers would be to collaborate with AI. A human-led, AI-assisted approach is the ideal way to maintain creativity, empathy, and strategic depth. Over-reliance can turn designers into mere curators. It hinders deep problem-solving and genuine innovation, and leads to generic outputs and skill gaps.

Here’s how the human-AI collaboration may work:

• AI as a Tool, not a Crutch – Use AI to do the mundane and repetitive tasks, and that will free up time for you to do other important things. You can spend more time on design-thinking.
• Humans lead with Vision – Strategic thinking, empathy, creative direction, and ethical judgment come from designers and not AI.
• Slight Change in Role – Instead of getting completely replaced, humans become strategic thinkers, curators, and facilitators.
• The Why-How Role Division – As AI will take care of the ‘How’ part of things in design, such as generating options, humans can rely on the ‘Why’ part of things, such as strategic intent and user needs.

Even with the reliance on AI and with the collaboration part of it, there are still some design jobs that are at high risk of being replaced by AI. While other design jobs are still thriving and might not be affected by AI, some are even going to get better with AI.

Jobs such as Production Designer and Illustration Designer are at a high risk of getting replaced by AI. The latter (Illustration) stands at a far higher risk than the former. Production Design is simply going to get vulnerable. Graphic Design and UI/UX Design have an average risk of being affected by AI.

If the designers in these fields are smart and tactful enough, they could either use it to their benefit by collaborating with it, or they could simply keep it as an aid. Finally, Brand Design and Creative Art Design might only get better with AI.