Is artificial intelligence (AI) ready to completely replace writers and designers? Is it enough to use Jasper instead of finding an essay writer for free to do writing needs? These and other questions are being in the air lately, but with the constant evolution of technology, it is a question that deserves an updated and detailed answer.
A recent IBM study found that 75% of executives surveyed believe AI will enable them to gain or maintain a competitive advantage in the marketplace.
Furthermore, the global AI market reached $39.9 billion in 2019 and is expected to reach $126 billion by 2025.
With these “encouraging numbers”, in this article, we will look at whether AI can completely replace writers and designers, and if so, when we might expect to see this change in the industry.
We’ll also explore how AI is currently being used in content creation and graphic design and what implications it would have for creative professionals.
HOW DOES AI WORK IN CONTENT CREATION?
AI content creation involves the use of algorithms and machine learning models to generate text and/or images that resemble the work of a human writer or designer.
The technology behind AI in content creation is complex and is based on natural language processing (NLP), which is the set of techniques and algorithms that enable machines to understand and produce human language.
The algorithms and machine learning models used for content creation vary by software vendor.
For text, some algorithms focus on content structure and consistency, while others focus on keyword optimization to improve SEO.
Large data sets and supervised learning algorithms are used to train AI to generate quality content. The goal is to teach the AI how to develop text with a particular tone of voice and consistent structure.
This is achieved through constant feedback and correction, allowing the AI to learn from its mistakes and improve over time.
AI REPLACE THE WORK OF A WRITER OR DESIGNER?
The million-dollar question I’ll answer quickly. AI can NOT replace the human touch. AI programs can perform some of the most tedious tasks of copywriters and designers.
For example, it can automate tasks that would otherwise require human intervention: finding stock photos from keywords; creating headlines based on user preferences, and formatting text in different sizes.
However, while AI has made great strides in recent years in terms of its understanding of language (especially English), its ability with other languages remains poor, although it is improving.
Factors come into play that would be a plus for writers and designers:
The simple matter of replicating something like creativity, machines alone cannot yet replicate.
Emotions AI cannot capture, which humans can do very well.
Empathy and our ability to connect with other humans cannot be easily imitated, which is why, in most cases, it gets excellent results.
The question here is how to use AI as a complement to our process and not as an end in itself. There will be many designers and writers who will be out of work, but they will be the ones who do not adapt to the new changes. Just as they did not adapt to those fired because they were replaced by a robot in the mass production industries, a robot that can manufacture a thousand things in 30 seconds takes 1,000 people 30 minutes. Based on that example, today, we are experiencing the same thing but from a closer and smaller point of view.
ADVANTAGES AND DISADVANTAGES OF USING AI TO CREATE CONTENT
With the above in mind, AI has proven to be a powerful tool in creating text and graphic content, and its use is steadily increasing. While its use has clear advantages, it is also important to mention the potential disadvantages of this currently fashionable technology.
- Increased efficiency and speed in content creation.
- Ability to analyze data and predict trends to create more relevant content.
- Cost reduction in content creation.
- Ability to customize content according to user interests.
- Reduced human error in content creation or artwork.
- Lack of creativity and originality in AI-generated content.
- Inability to understand human context and emotions in content creation
- Risk of plagiarism and legal issues associated with the use of AI-generated content.
- Potential for bias and discrimination in content creation based on data used by AI
- Loss of jobs and opportunities for professionals who do not adapt to change.
We need to know the different AIs for each area and to adapt because AI is here to stay full.