做行銷的我，用 AI 產內容一年後的真實檢討

I'm a marketer. When AI can generate posts, copy, and blog content with the click of a button, I was excited like many of my peers - finally, no more anxiety about daily content. A year later, I want to honestly review this. The conclusion is a bit counterintuitive: AI makes content production super fast, but it also made me re-examine what content is really for.

At first, I crazily produced content

At the beginning, I was thrilled. Using AI, I could produce over a dozen social media posts and several blog posts in a day, and schedule them all in advance. The numbers were great, content production increased several times, and my supervisor thought our team was "very productive".

Back then, I really thought that the pain point of marketing had been solved. Not enough content? Just produce more.

Then I discovered, no one was reading

The problem was, after two or three months, I looked at the data.

I was posting a lot, but engagement and reach didn't improve much, and because I was posting too much with varying quality, I even lost some followers. I then realized: I solved the problem of "output quantity", but marketing has never been about quantity, it's about "whether anyone cares". A hundred posts that no one reads are not as valuable as one post that resonates with people.

Those contents produced in large quantities by AI were often "correct but boring" - grammar was correct, information was correct, but there was no perspective, no warmth, and they looked just like those of our competitors. It's reasonable that algorithms didn't recommend them and readers scrolled past.

How I adjusted later

After the pain, I changed my approach.

Now AI is an "accelerator" for me, not a "ghostwriter". I use it to draft, come up with angles, organize data, and correct grammar - to save me from the pain of facing a blank page. But the final layer of "perspective" and "human touch", I make sure to add myself. The core insight of a post, the sentence that makes people want to share, the unique tone of our brand - AI can't provide, and shouldn't.

I also shifted from "quantity" to "quality". Instead of posting ten canned posts a day, I'd rather post one that really has an idea and a story. I post less, but each post is worth reading. The data actually got better.

A risk that many people overlook

There's another thing I want to remind my peers: if everyone uses AI to generate content, your content will become more and more like everyone else's.

AI learns from existing things, you use it, your competitors use it, and the output will converge to the "average". The result is a plethora of similar content that no one remembers. In this environment, "having your own perspective and voice" becomes the most scarce and valuable thing. This is a bit ironic - the more AI is popularized, the more human touch is valued.

My sincere words to fellow marketers

AI is a good tool, I won't stop using it. But the biggest lesson I learned this year is: it helps you solve "speed", but it can't solve "goodness". And in the content industry, "goodness" is the key to success.

Treat AI as the assistant that helps you draft and save time, and use the saved time to think about "what you really want to tell your readers and why they should care". That part has no shortcut, and it's precisely the reason why you, as a "human", cannot be replaced. To learn more about marketing tools, you can refer to AI sales prospecting tools recommendation.