Authors – Why You Should Write Your Own Blogs And Stop Using AI 

Have you ever had that moment of “I used to do/play this is a kid”? Whether it’s picking up a basketball or tennis racket or golf club or whatever it may be and you are about to have your first attempt in many years – you take the shot/swing/hit and FLUMP.

You think ‘what the hell, I used to be way better at this’ as you try again only to be met with the same result? The reason is well known and is often described by the adage ‘if you don’t use it, you lose it’.

This post could take many tangents and could easily be turned into a 5-part series but I’m going to try and keep it as short and succinct as possible.  

It’s 2025 and AI is in full swing, with each week seeming to result in a new model, new feature, new breakthrough, new capability etc. Now don’t get me wrong, I am not anti-AI, it certainly has its uses. As a blog writer, one of those uses that AI offers is the ability to generate blog posts within mere seconds – and boy oh boy is it tempting! BUT, I implore you to resist the urge and here’s why –

Just like with the childhood sport that you became quite good at, then stopped and now you’ve ‘lost the skill’ – writing is no different – it is a learned skill and if you stop doing it, then you lose the skill. Writing is also more than just knowing what grouped letters (words) to put into a line (sentences), it is a fundamental skill that uses your logical reasoning, your imagination, your problem-solving and many other core human specific skills.

The moment you swap out brainstorming, drafting and refining your own work for a simple AI prompt, you are losing your writing skills!

Now, some will argue something to the effect of ‘what use will writing have in the future, learning how to prompt AI correctly will probably be a more useful skill’. There is actually some validity to this argument but I would retort with ‘don’t throw the baby out with the bath water’ – let me explain…

You can continue to write your own content including the brainstorming, drafting and refining process but maybe after you have completed your brainstorming, throw your ideas into AI and see if it has anything else to offer. Same with the drafting and refining, do the work first and then throw the draft into AI to see if it has any refinement suggestions.

This way, you are still using your writing skills but also still leveraging the abilities of AI AND learning a new skill of AI prompting – double win!

Not only does doing it this way mean that you are still continuing to use your writing skill, but it means your blog posts will continue to contain your ‘flavour’ which is super important when it comes to engaging and retaining your audience.

To add some ‘meat to the bone’ of what I am presenting – MIT recently published an article regarding the use of LLMs. The findings included “…while LLMs offer immediate convenience, our findings highlight potential cognitive costs. Over four months, LLM users consistently underperformed at neural, linguistic, and behavioral levels. These results raise concerns about the long-term educational implications of LLM reliance and underscore the need for deeper inquiry into AI’s role in learning.”

We have all seen those stories where a ridiculous piece of art has sold for an even more ridiculous price. I say ‘stories’ (plural) on purpose because it is actually quite a common occurrence – but why?

Usually, it is not the actual piece of art itself that the buyer is interested in, it is the fact that the artist and piece are both unique. The artist will add his/her own quirks and flair to the piece which in itself makes the artist and piece of art unique.

Your own written content is no different – we are all unique, from our fingerprints to our personalities and we leave little pieces of this uniqueness in each of our content pieces. Often without doing so on purpose – whether it be the tone, the wit, the structuring or even the styling, it is almost certain that there will be no other piece exactly like it.

But of course, that doesn’t mean that everyone will like it – which is actually another important point. AI generated content is very bland and sterile, which is not appealing to many. Sure, your unique ‘flavour’ may not appeal to all, but it will appeal to a certain group and it is that group that you want to identify, engage with and nurture.

So here is a bit of an ironic paradox for you – those that use and rely on AI to generate content are contributing to the developmental stagnation of AI while those that do not use AI are contributing to its development.

Confused? Lets dive in.

To understand this paradox we must first (quickly) review what AI is and how it works. The AI type that is used when it comes to generating written content is called ‘Large Language Model’ (LLM’s). Essentially, a massive amount of (human generated) data is loaded onto a database and then using an algorithm, the LLM analyses the data and depending on the prompt that you give it, it returns a specific filtered result. The intent and purpose of the LLM is to return a result that is ‘human like’ (can be read and interpreted by humans).

In order for LLM’s to both improve and for the returned results to remain timely, they require continual uploading of new data. Instead of manually ‘feeding it’ clean data on an ongoing basis which is very cumbersome, the workaround is to give the LLMs access to the internet…

But now that AI generated content is making a presence on the internet, this presents a problem. The LLM starts to access its own content and use it to return prompt specific results – results that end up being posted on the internet, which is then accessed by LLM’s 🔁.

Think of it like a photocopy of an original document (copy 1). Then the next time the document gets photocopied, copy 1 is used in place of the original, which returns a poorer quality result (copy 2). Copy 2 is then used as the original for the next iteration – a copy of a copy of a copy….

So back to the paradox which now hopefully makes more sense – those that use and rely on AI to generate content are contributing to the developmental stagnation of AI (by feeding the recursive cycle) while those that do not use AI are contributing to its development (by feeding it clean data).

My interpretation was a watered down and simplified summary of this article which I highly recommend you read if the paradox has tweaked your interest.

We are in this strange transition period where AI seems to be developing and imposing itself far quicker than the internet, including the ‘big guys’ (Google and Co) can react. How to deal with it is also delicate as these companies are also utilising and implementing their own AI technologies.

I think it would be safe say that the general consensus would be something to the effect of ‘AI has its uses, but human generated content in certain areas are not only important, but essential’.

The changes are already beginning to happen – YouTube recently announced that they would be cracking down on the use of non-original and non-authentic content in their partner program.

Cloudflare has also introduced a “pay per crawl” for AI companies crawling sites. These announcements are pretty clear – AI generated content will not be monetised, but real content will be. 

Watch this space – I believe there will be further announcements and changes in the coming months by the likes of Google that will heavily favour and reward authentic, genuine and verified human created content. I elaborated on this a little more in my previous post.

Well – that’s my thoughts on why authors should continue to write their own blogs instead of getting AI to do it for them.

What do you think Authors? Agree or have a difference in opinion? Let me know in the comments.