AI Didn’t Kill Blogging. Boring Blogs Did.

I let this one sit over a few weekends, which is usually how I know an idea has teeth.

By Wednesday, September 30,
it felt less like a passing thought and more like a useful line in the sand
for how I want Mona’s Media to grow…

When GPT-5.6 came out, I wrote about how it was changing what one person could realistically accomplish. That piece was about capacity:

what happens when one person can research, write, design, code, analyze, and build with tools that used to require a much larger team.

OpenAI introduced GPT-5.6 around stronger performance per dollar, more intelligence from each token, and better end-to-end knowledge work.

Since then, the pricing updates have made the efficiency argument even more obvious.

For a writer, creator, or one-person business, that matters because the amount of work you can reasonably move through in a day changes.

OpenAI’s GPT-5.6 release

For someone like me though?
Writing, editing, designing, managing content, building systems,
researching, and occasionally deciding I apparently need to start an entirely new project at 11 PM, well…. that shift is immediate.

AI has changed the amount of work I can get done,
and it has also made me think harder about what work deserves
to exist in the first place.

Because producing an article is ridiculously easy now.

I can give AI a topic and get 1,500 words in seconds.
I can ask it to research the subject, find competing arguments, suggest SEO keywords, create an outline, write twenty headlines, turn the finished article into social posts,
and draft the email announcing it.

If the first version sucks, I can make another AI bully it.

We have reached an incredible point in human history, and somehow we are still publishing The 10 Best Ways to Increase Productivity.

We Have Plenty of Content

The internet has approximately seventeen billion explanations of how to drink more water. Generative AI is going to add an extraordinary amount of material to that pile because the actual production of content has become incredibly cheap.

That is where things get interesting for writers, creators, and small business owners using AI for content creation. Having something worth saying suddenly carries a lot more weight.

I can ask ChatGPT to explain almost anything to me.
If I want to know what a marketing funnel is, I can get a useful answer without clicking a 2,300-word article designed around the keyword what is a marketing funnel.

That changes what I expect from a blog when I choose to read one.
Teach me something you learned.
Show me what happened when you tried it.
Tell me where the conventional advice falls apart.
Find the weird connection, introduce me to someone who knows something I don’t,
or make me laugh halfway through learning it.

Give me a reason I should have clicked you.

Technically Nothing Is About to Be Everywhere

AI is extremely good at producing acceptable writing.
Sometimes it is great.
Sometimes it gives you an introduction beginning with
“In today’s rapidly evolving digital landscape,” and you have to put it in time-out.

Acceptable writing, though?
We have that covered. Clean grammar, nice headings,
sensible transitions, and a little conclusion at the end about embracing the future.
The article can be correct and completely forgettable at the same time.

That kind of content is the easiest for AI writing tools to swallow first, and frankly, good. A lot of the internet has been built around publishing because a keyword existed, with no real point of view attached to it.

Machines can make that material faster than we ever could.

Let them.

I would rather spend my time on the stuff that requires me to actually be there.

I Still Have to Notice Something

This is probably the biggest thing AI has taught me about writing:

the words were never the entire job.

I use AI throughout my process, and I have no interest in pretending I sit beneath a candle with a fountain pen waiting for divine editorial intervention.

I research with it, argue with it, organize ideas with it, and use it to find holes in things I’m writing. Sometimes I give it a giant pile of thoughts and ask it to help me figure out what the hell I’m actually trying to say.

It saves me an enormous amount of time.
Before any of that happens, something usually catches my attention.

I used GPT-5.6 and noticed how dramatically one person’s working capacity could change. I used Astra and wondered why something being discussed alongside AGI was making me ration my credits. I watch people automate things before deciding whether those things deserve to exist in the first place.

I see a management trend, a weird media story, a product decision, something happening in Houston, something happening online, and my brain starts picking at it.

AI helps me follow the thread.

It did not create the thread.

That is the part of blogging I think becomes increasingly valuable. The future of blogging with AI belongs to people who can notice, test, connect, explain, and decide what is actually worth publishing.

Search Is Messier Now

Blogging spent years deeply attached to Google. Entire businesses were built around understanding what somebody might type into a search box and publishing the page most likely to appear when they did.

SEO still matters. Ahem, I am literally optimizing this article.

Discovery has simply become messier. People search Google, ask ChatGPT, browse Reddit, watch TikTok, use Perplexity, follow links from newsletters, and encounter AI-generated answers before reaching traditional search results.

AI systems themselves are increasingly browsing websites, collecting information, working across applications, and completing tasks. GPT-6 Astra makes that shift particularly obvious because OpenAI designed it around computer use, browsing, research, professional work, and multistep workflows across applications.

OpenAI’s GPT-6 Astra release

We are heading toward an internet where some of the things reading our websites are machines. That gives me even less desire to write like one.

This Has Changed What I Want Mona’s Media to Be

I have thought about this a lot while building this site. I want Mona’s Media to become a library of things worth finding: practical AI workflows, media literacy, creator systems, tool reviews, local culture, and clear explanations for people who are capable but overloaded.

Some of that is practical:

• guides
• systems
• resources
• things that make someone’s day easier

Some of it is analysis because I use a tool, follow an industry,
notice something changing, and want to figure out what it means.

Some of it is culture:

• media literacy
• technology
• work
• the internet,
• creativity
• and the bizarre ways all of those things KEEP crashing into one another

Sometimes I simply find something interesting enough that I want to drag everyone else over and say, look at this.

That is blogging to me. It has always been one of the few formats where curiosity is allowed to be productive.

AI Made Me Want to Write More

That is probably the funniest outcome. I have access to technology capable of generating an entire blog before I finish my coffee, and I care more about writing now.

AI removed friction from parts of the process that used to eat my attention. Research moves faster. I can test an argument before spending hours developing it, organize information quickly, and repurpose finished work without manually rewriting the same idea seven times.

I can run parts of a media operation that would have required several people. That gives me more room for the thing I actually enjoy:

thinking about shit.

It also makes taste incredibly important. AI can give me twenty headlines; I decide which one I would click. It can generate an image; I decide whether it belongs on my site. It can suggest an argument; I decide whether I actually believe it. 

(and yes, I added these semicolons out of pure defiance! I miss using them in my writing) 

It can produce a perfectly polished paragraph that sounds nothing like me, and I get to delete it with extreme prejudice. Those decisions are part of the work. So is knowing when AI genuinely made something better.

Being Human Is Getting Interesting Again

The future of writing does not require everybody to prove they typed every word manually. That sounds exhausting, and I have things to do.

I care much more about whether there was a human reason for making the thing. I want to know what you noticed, learned, tested, experienced, or connected that made the article worth publishing.

Did you care enough to check whether what you are saying is true?
Did you bring anything with you?

That is the standard I am trying to apply here. AI can generate more words than I could ever personally write. Cool. We have established that.

Now actually tell me something.