The secret to viral content that AI can't copy #marketing #growth

23 Oct 2026 · 1 min

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0:38

In this segment of a YouTube interview, Eric Siu discusses the stark difference between his own manually written X (formerly Twitter) posts and content generated or repurposed by AI on his team. He notes that his personally crafted posts have achieved massive reach—hundreds of thousands to over a million views—after hours of thoughtful writing and iterative editing. In contrast, AI‑generated or AI‑repurposed posts typically garner only 10,000–15,000 views and require repeated retweeting and quote‑tweeting to incrementally boost their performance. Siu argues that audiences can sense the authenticity and depth of human‑created content, making it far more effective for viral growth.

Chapters

I think having AI create content, it just doesn't work.
Earlier in the year, I wrote some X articles. Some of them got like a million views or a couple hundred thousand views or so. Those were completely written by me, right? Now I have someone on my team who is repurposing a lot of stuff, and you can tell it's AI-generated. And these X articles, they do okay, right? They're still getting like 10,000, 15,000 views, but he has to keep retweeting it, retweeting it, quote tweeting it over and over to like slowly jack the views higher and higher on each one. Whereas when it's something that it's fully backed by me and it's like I've clearly thought about it, it takes you hours, right, to write something really good. And sometimes you have to keep going back and editing it, but that raw human thing, people can tell, right?