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Um, you know, there's so much we could get into here, Nathan, but really two questions that I
really want to hammer on in this, in this episode here is SEO dead, right? That is the, the number
one question that you probably get every single day at this point from interactions or just online
everywhere. What stays, what's gone, like, what is your response to this whole thing?
Well, SEO, I mean, it's funny. There's kind of this, I feel like there's a journey that most
people go through in this, uh, this kind of like disruption. Okay. So initially you get this
feeling of like, Whoa, there's like, this is dead. Like, like I need to find a new job. Like,
this is way too difficult. But then you go through and like, okay, let me mess around with AI a
little bit. And then you realize you're like, man, this is a lot of opportunity here. And you realize
that, um, and you kind of go through this process. But then when you go deeper into, and as you know,
this as well, who's someone who's very deep in AI. Um, when you go real deep, I'm not talking
service level stuff. I'm talking like you're actually building websites with AI. You're
actually coding. You're building automation. Exactly. The further you go deeper into that,
the more you realize that we're not even close to AGI. When you use a vibe coder for the first time
and you create your site real quickly or a, you know, application like, Oh my gosh, I just unlocked
AI-generated overview
Nathan Gotch describes a psychological "journey" SEO professionals undergo during AI disruption: initial panic ("SEO is dead, I need a new job"), followed by experimentation revealing opportunities, then deeper engagement exposing AI limitations. Surface-level AI usage (like vibe coding to quickly build sites) creates false confidence about AGI arrival, but going "real deep"—actually building websites, coding, creating automation—reveals persistent bugs, broken implementations, and platform failures (like Repl.it deleting entire websites). This hands-on experience demonstrates "we're not even close to AGI" and that "humans are necessary still." Gotch emphasizes that only practitioners who "get their hands really dirty" with AI development understand its current limitations. The progression mirrors the Dunning-Kruger effect: beginners feel omnipotent after initial AI successes, but expertise reveals complexity. He positions deep technical engagement (beyond "service level stuff") as essential for realistic AI capability assessment, contrasting superficial adoption with actual implementation challenges.
SEO professionals undergo a predictable journey during AI disruption: panic ("SEO is dead") → experimentation (discovering opportunities) → deep engagement (recognizing AI limitations).
Surface-level AI usage like vibe coding creates false confidence about AGI arrival—"you create your site real quickly" and feel like you "unlocked the greatest power of all time."
Going "real deep" into AI (actually building websites, coding, creating automation) reveals persistent bugs, broken implementations, and platform failures like Repl.it deleting entire websites.
Hands-on AI development experience demonstrates "we're not even close to AGI" and that "humans are necessary still" despite automation advances.
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