How AI Content is Shaping the Future of Content Writing

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The evolution of technology over the past 10 years has been exponential. Having started in machinery, it has now conquered all industries. Although many may disagree with the benefits that technology and artificial intelligence bring to an industry, they cannot ignore them.

Technology has seen the phenomenon of accelerating change, giving us by-products like artificial intelligence.

Artificial intelligence has transformed mundane activities into an automated process. With the click of a button or a voice command, you can collect information from anywhere in the world. Similarly, you can automate tasks in healthcare, education, transportation, and more. According to the PwC Global Report, AI will bring around $15.7 trillion to the global economy.

AI’s indulgence is not limited to tangible metric sectors. You can also leverage the benefits of AI-powered software in creativity horizons by using it as inspiration to create ideas for design, critical thinking, and content writing.

That’s right, AI content writers do exist!

AI content writers are software that can create articles, blogs, advertisements or marketing campaign ideas through a computerized system. They can be very helpful in formulating engaging content.

Let’s understand the scope of AI content writers and how they actually work.

What are AI content writers and how do they work?

As we discussed earlier, AI content writers use computerized content creation systems to articulate information based on given prompts. Now the question is how can they generate information from nothing? For this, we will have to dig deeper into the software machinery. Machine Learning for AI Content Writers is divided into two sections;

  • NLP – Natural Language Processing
  • NLG – Natural Language Generation

Natural language processing (NLP) refers to the transformation of input data into a textual form. For example, when you use voice input for Google or Alexa, you are inserting intangible voice data. NLP breaks it down into segments and understands what the data refers to. This process solely revolves around understanding the data provided to the software. Hence, it is also called NLU (Natural Language Understanding).

Now comes the second part of AI content writing software, here the machine learning used is called Natural Language Generation (NLG). NLG expands understanding of NLP and generates content. For example, when your voice types into an app, NLP will break down the data, and NLG will take that separate data and analyze it to generate insights.

Most AI content writing tools now also use the GPT-3 language. Generative Pre-Trained Transformer 3 (GPT-3) uses an autoregressive language model. This means that it performs deep machine learning to analyze data from timelines to generate authentic and factually correct content.

Sometimes these software tend to misinterpret the data and that’s when you see a difference in the output that you expected. This is mostly seen in autocorrect software. However, most AI content writers are accurate in their delivered content. AI content writing software or tools ask you to provide some basic information about how you want the output to sound and appear.

For example, you want to write an email to your boss. You will add a formal and informative tone to your writing. However, if you write an e-mail to your subordinate, you will use an authoritative tone. This information is intended to be mentioned when generating content with these tools.

Once you have entered the data, the software will generate the output and you can modify or rewrite it. To better understand the AI ​​Content Writing Tools, you can refer to our article on Best AI content writing tools and software.

Do we need AI content writers?

Now, we’ve discussed how AI content writers work, but do we really need them, or are they just too hyped? Let’s understand how AI content writers can make a difference in the content generation industry.

Error-free and optimized content generation

AI content writers help create fact-based and grammatically correct articles. Generally, when a content writer produces content, they tend to unintentionally make mistakes in their article.

This can be grammatical or in sentence structuring, which can make the article sound abrupt and require further editing. However, you remain assured that an AI content writer will not make such mistakes and can deliver optimized content. You can add keywords and phrases and the software will generate the content around it.

Content automation speed

With AI Content Writers, you can automate your prompts and generate content in no time. AI content writing tools like Jarvis and any word can generate long-form content like blogs, reports, and articles in minutes.

Whereas a content writer would take a day or two to research and then write. For example, you want to write a blog about Keto Diet. You will add all your keywords and the reference to the audience you are targeting; say, beginners.

With this basic information, these AI content writing tools can generate factual and engaging content in seconds.

Accelerating content is the king model

Over the years, content has become an integral part of marketing strategies for any type of business. To stand out, you need the backing of an impactful content pipeline. AI content writers not only generate content, but also provide suggestions for slogans, plans, blog ideas, and more.

Companies have now developed the content-first ideology. Therefore, you need to constantly build mass high quality content appeal to consumers and visitors. AI writers can help you create and follow a content generation plan for such a requirement.

If we consider content creators and authors, AI content writers can also help create engaging stories and scripts.

AI content writing tools like Jarvis have created compelling stories that have been published on various platforms. 1 per road and The day a computer wrote a novel are examples of novels written by AI Content Writers.

Challenges for AI content writers

We’ve discussed the importance of AI content writers, but every coin has two sides. Let’s discuss the challenges that AI content writers bring with them.

Limitations in tone of content

AI content writers provide content tones, but they are limited to formal and generic means of publishing content. There are limits to generating reports that can be considered humane.

The content created by AI content writers is mostly monotonous and streamlined. Therefore, it works well for business. In the creative attributes, it still needs to be tweaked.

Lack of experience and spark

There is no doubt that content generated by AI content writing tools is engaging, but here it is all about being high quality for website conversion rates.

AI content writers tend to generate content only around topics. They will not use references or examples to clarify or make the article interesting. Therefore, they somehow lack experience in storytelling.

Limited understanding of target audience

As mentioned earlier, AI content writers fit into a box of given prompts. When a content writer creates a write-up, they channel their audience, but they create the content in such a way that others can be enticed.

This is how you can create high-level content. However, AI content writers will only stick to the given audience niche and not explore a wider horizon.

Will AI content generation replace writers?

Overall, we have discussed all aspects of AI content writing and this is what we can conclude. AI content writers are able to generate high-quality content in minutes. They can certainly pass for an assistant to a content writer but do not have the skills to become one.

The main reason we say this is the need for human intervention in content generation via AI Content Writers.

Without someone providing the basic data to create a plan or an article for the AI ​​content writer, he cannot generate content. There will always be a need for a content writer to give instructions and guidelines to content creation tools.

This alone tells us that AI content writers are part of the workforce, not the entire workforce. You need experienced writers to automate these tools. Therefore, you can accurately determine that the chances of total domination by AI content writers are quite tricky.

Scott R. Banks