AI design is now severely disrupting numerous professions and is being heralded as the future of many businesses. There is no question that artificial intelligence (AI) has advanced rapidly in recent years. AI is now expected to write, make data-driven forecasts, and even create art. But, with all the enthusiasm, are we overlooking the obvious facts of what AI cannot do? In this blog, we’ll look at what artificial intelligence can’t achieve — at least not yet.
The Limitations of AI
Despite major advances in artificial intelligence (AI) technology, there are still a number of things AI cannot perform for agencies and enterprises.
The human divide
The ability of AI to grasp human emotions and empathy, which are critical for effective communication and relationship-building, is the first and most evident limitation. We all know this, yet we frequently overlook how it applies to business. While chatbots and virtual assistants powered by AI can provide customer care and assistance, they cannot completely replace human connection. Similarly, AI writing tools are incapable of seeing into the customer’s experience and addressing their deeper issues and worries.
The gap in creativity
Second, AI is not creative in the same way that humans are. It cannot develop fresh ideas or creative material unless it is trained on current data. This inhibits its capacity to develop one-of-a-kind and original solutions, which are frequently vital for corporate success. Even the most advanced artificial intelligence content production systems must rely on what humans have already developed.
The mental chasm
Some claim that AI is smarter than humans, although this is only true in certain situations, such as computing numbers. Human leaders’ strategic thinking and decision-making ability cannot be replaced by AI. While artificial intelligence (AI) may deliver data-driven insights and suggestions, it cannot completely grasp complicated business circumstances and make judgments based on knowledge and experience.
The ethical chasm
This is one that corporations are likely to be less concerned about when using AI to streamline activities. However, it is a very slippery slope. What does adopting AI imply if customer trust is one of the most important determinants of brand longevity? We’re already witnessing concerns with data privacy, and AI is going to open up a slew of new ethical cans.
We’re in a world where things like equity and diversity are more important to consumers than ever before. But AI systems are only as unbiased as the data they are trained on. Thus they may not always make decisions that align with human values and principles.
AI has already been accused of perpetuating harmful stereotypes in various ways. The Amazon AI controversy was just one such incident. In another, AI was caught in a gender bias.
Can AI create graphics?
If you’ve been browsing the internet recently, you’ve probably come across some great instances of AI design. AI at its best can generate stunning photos at the push of a button. There are examples on all of the major AI art platforms, such as Nightcafe:
But, if you’re reading this, you’re undoubtedly intrigued about the flip side of the coin — what AI can’t accomplish. There are various aspects to consider in the world of design, especially if you want to use AI for a business or design project.
One of the most significant disadvantages of AI is that it is hit or miss. What AI cannot do is reliably produce visuals to specs. There are dozens of unsuccessful efforts at making the same thing for every great design you see uploaded online. This may be seen in a number of hilarious AI design failures:
In other words, simply because you enter a prompt into an AI generator does not guarantee that you will receive anything useful in return.
AI cannot comprehend the context or intent of a design on a deeper level. AI systems are only as good as the data on which they are trained, and therefore cannot be relied on to convey the desired message. A aesthetically appealing AI-generated design may fail to elicit the necessary emotional response from the viewer.
Another way AI can mess up graphic design is by being overly formulaic and lacking creativity. AI-powered design tools often rely on pre-existing templates and algorithms, which can result in repetitive and uninspired designs that lack originality. This is particularly problematic for brands and businesses that want to stand out and differentiate themselves from their competitors. Even more worrisome in a legal sense, AI art generators have come suspiciously close to copying real artists’ work – a potential copyright issue in the future. Even bigger companies are already filing lawsuits.
To summarize, while technology may absolutely help to speed certain elements of the creative process, there are many qualitative things AI cannot achieve. An AI design tool will never be able to understand your brand standards or produce inside a consistent theme.