Will ChatGPT steal your job? Let’s put it to the test


Whether or not you work in the content industry, every single person and their mother has an opinion on ChatGPT. Mostly because it is supposed to form a threat to jobs in publishing, journalism and content creation. Occupations you’ll find in almost any organization in any industry nowadays.

If you listen to the hyperbole, copywriters will lose their contracts, journalists will be replaced by bots, and marketing agencies will become obsolete. Since we’re not unfamiliar with writing, publishing and creating our own content, we thought let’s put it to the test. Will ChatGPT be the end of human content creation?

But first...

What is ChatGPT?

ChatGPT is a conversational AI model developed by OpenAI. It is based on transformer architecture and has been trained on a massive dataset of text from the internet, allowing it to generate human-like text. ChatGPT can be used for a variety of natural language processing tasks, including text generation, text classification, and question answering. The "GPT" in ChatGPT stands for "Generative Pre-trained Transformer".

In a conversational setting, ChatGPT can be used to build chatbots that can interact with users and answer questions. The model has been designed to understand context and maintain coherence in long conversations, making it well-suited for building conversational AI applications.

How well suited? The above two paragraphs are written by ChatGPT. You may criticize the writing — a human writer might wonder why the adjective "massive" is used for something non-physical, and the sentence structure tends toward dreadful — but it does answer the question. And in the end, this is just an opinion.

GPT falls under a subcategory of machine learning known as "Generative AI". This type of AI examines large amounts of data and trains models that have the ability to produce new items.

For instance, when provided with millions of works of art, a generative-AI program can learn to produce its own art, much like OpenAI's popular creation, DALL-E.


Similarly, when given a substantial amount of computer code, a generative-AI program is capable of generating code of its own.


The Hype of ChatGPT

As seen around any new technology, it is all very exciting. AI has sparked imagination in everyone, eager to learn how it can make things better, faster, and cheaper. Our customers are very interested in the topic, as we discovered during one of our monthly partner webinars.


To help us understand the current hype around AI, it helps to look at this graph from consulting firm Forrester. It lays out the stages for any emerging technology.

A lot of the big tech breakthroughs over the past three decades, like the internet, the smartphone, and cloud computing, have been tracked using this cycle.


Source: Forrester

Let's take the internet, for example. The "technology trigger" was when the World Wide Web was first publicly demonstrated in '89 - it was interesting, but not many people paid attention to it, and even fewer saw its potential.

Then in the '90s, things got wild - the internet exploded with all sorts of crazy and sometimes far-out ideas, fueled by the dot-com bubble. That's when we hit the top of the awareness hump. Everyone knew about the Internet, was caught up in the buzz, and had inflated expectations of what it could deliver.

But what goes up must come down. The bubble burst, and we found ourselves in the acceptance stage, where development slowly took off. People started to think the internet was just hype and some companies were wiped out.

But here's the thing - the internet didn't go away. It just needed time to mature.

And that's what happened during that last part of the graph. Developers and investors started focusing on practical applications and improving the user experience. Mobile web launched, and before we knew it, the modern internet - which is basically the backbone of our economy - was in full blooming stage.


  • Visionaries will dominate dawning phase trends as they drive point inventions to address specific business organizations’ opportunities.
  • Fast followers will discover the limits of point solutions in the awareness phase and begin to work through them.
  • Enterprises will shift investment toward integrating capabilities across the customer life cycle in the acceptance phase.

So where's ChatGPT now on this cycle?

Since ChatGPT hit the scene, more people are jumping on the generative-AI bandwagon, and checking out other tools like Lensa AI. And according to the Harvard Business Review, this latest ChatGPT version is a "tipping point" for AI - like, it's finally ready for a whole bunch of new uses.

But before we get too excited. This also means we're inching closer to the top of that ‘investment appetite hump’ full of inflated expectations. And that means - people are starting to see all the ways that ChatGPT falls short.


It’s biased, spreads misinformation and gives harmful instructions. OpenAI is open about its shortcomings themselves.

For long-form copy - it lacks all but the most basic understanding of human search intent. So whilst it may be able to answer individual questions adequately, it isn't equipped to create engaging, informative articles at present. Longer AI-generated content feels like a student padding out an essay to get to the minimum word count. There's quantity but no quality.

The process of content creation. Does ChatGPT save time?

Eager as we are, we all couldn't wait to try the new way of ways to streamline our workflows and produce engaging content. We started feeding ChatGPT a few prompts and were amazed by how quickly it was able to generate responses. It was like having a virtual writing assistant at our fingertips.

"Great, let's save on the costs of copywriting, freelancers, journalists, and photographers all together and fully invest in AI," said no qualified leader. But many might think ChatGPT is the answer to a tight budget. Is this true?

Below you will find a test to see if you can spot the AI over human writing and compare quality. Go through the six cards, and count how many you can get right:

Not all the steps in content creation can be automated or executed by a bot. Especially during the research phase and the creation phase, ChatGPT might come in as a helpful addition.

Content creation, written blog posts in these examples, is an open ended cycle that repeats itself. Each step takes time depending on the topic.

  1. Research - SEO, compare, use tools, aim for uniqueness
  2. Ideation - Find a unique point of view
  3. Placement - Decide which channel is used and do external outreach
  4. Creation - Take time to produce quality content
  5. Publication - Decide on lay out, supporting images and uploading
  6. Promotion - Use all available and fitting channels and plan ahead
  7. QA - Do not ignore published content, optimize, build backlinks and re use.

“Personally I don't use ChatGPT. It's an interesting development but I still like the human touch and creativity, in every sense of the word. I don't just write text for my customers, but also help them figure out where they stand, what their audiences are looking for and how they can optimize the use of created content to get the desired response.”

Aranka Aarsman
Content creator

Now let’s sum up and look at why ChatGPT still can’t replace your content team

As mentioned, ChatGPT acknowledges their own shortcomings. Looking at the results and the fact that using the bot as an extra tool, the technology will only cost you more money and is considered a gadget at most, when we ask our own content creators.

As Tom Pijsel (VP of product management at WoodWing) advises customers in the company’s Help Center for WoodWing Assets and WoodWing Studio:

“It doesn’t mean these solutions can be of great value for a content writer, it can for example assist you with summarizing text, creating social snippets and headlines, help to create interview questions, translate content, gather content, set up FAQ’s or make a draft plan.”

In our experience this adds time and thus money to the steps of quality assurance and research phase of content production instead of saving any. Extra steps, even, are taken to check if written content is not ChatGPT generated with extra tools. We’ll need a human to take those actions. And we get paid.

The technique behind ChatGPT is nonetheless very helpful, interesting and sparks imaginations in any of us. WoodWing will definitely keep an eye on the possibilities these new techniques bring for our own solutions.


This content is written by a human being. Some parts of sentences may be generated with the help of ChatGPT.

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Saskia de Koning, Content and SEO manager

As a content creator, with over ten years of experience in SEO, Saskia makes sure content will be found over and over again. From metadata to readability, and from tone of voice to H1 - she's got it all covered. She's passionate about personal growth and child development, and weaves these topics into her writing when it's relevant. Don't miss out and connect with her on LinkedIn.