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Marketing School - Digital Marketing and Online Marketing Tips

We Did 320 Predictions, And The Results Just Came Back..

Marketing School - Digital Marketing and Online Marketing Tips

Eric Siu and Neil Patel

Business, Marketing, Careers

4.61.4K Ratings

🗓️ 20 April 2026

⏱️ 22 minutes

🧾️ Download transcript

Summary

Eric and Neil break down how they used AI and the YouTube API to analyze 320 episodes worth of predictions, score who was more accurate over time, and uncover the deeper pattern behind why the podcast works. They also get into why marketers need to stop protecting their opinions, how APIs can surface content opportunities faster, why speed now matters more than polish, and what today’s “AI-forward” operators are still getting wrong. Key takeaways ◾ AI is great at spotting patterns across large content datasets. ◾ The best marketers use data to challenge their assumptions, not defend them. ◾ Speed matters more than polish when you can launch, learn, and optimize fast. ◾ “Quick and decent” beats waiting weeks for something perfect. ◾ A rough-looking website can still convert if the offer is strong enough. ◾ Many “AI-forward” marketers still have very little real execution. Chapters (00:00) AI scores 320 predictions (03:02) Why APIs are so useful for marketers (06:04) What aggressive marketers can teach you (10:48) Why an “AI slop” website still converted (14:35) The real problem with “AI-forward” marketers (17:09) Why better marketers are worth paying for

Transcript

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0:00.0

So, Neil, I did something funny with AI the other day. I basically had it look through the last

0:05.4

six months of our YouTube channel. I used the YouTube API for this. And I asked it to look at the

0:11.5

predictions you made and the predictions I made and score us over time. How do you think you did

0:16.1

with your predictions? I have no idea. Call it six out of ten, seven out of ten. Okay, so check this out. So it, it basically, okay, so let me, I basically, here's the prompt that I use for everyone here. Okay. So, if you use the YouTube API for the Marking School podcast over the last six months, how has Neal's predictions been versus Eric's predictions over time, right? And I looked at 320 videos over the last six months, okay? And I looked through all the transcripts. Okay, so where Neil was right. Number one, SEO isn't dead is shifting to transactional and revenue keywords. Okay, that's number one. Number two, AEI is overhyped in the short term. Okay,

0:55.4

the verdict is yes, he's correct. Number three, you still need humans in a loop for paid media.

1:01.0

Creative is the mode. Yes. And then number four, economy is starting to turn around,

1:04.8

partially right. And then number five, multiple AI platforms will win. Okay. So it scores you on

1:10.2

these things. And then it looks at it basically it basically gives me, like, it looks at your things and it looks at my things too, right? And so basically here's the key takeaway here. And I'm gonna give you a couple of YouTube API use cases, but I just thought this would be funny to mention a Neil because he's traveling right now. So, um, Eric, where he's been wrong. Um, so number one, I said Madness will take over in 2026. I overshot. Okay. Um, well, AI beat human IQ in 26 directly right on benchmarks, uh, but framing was sensational. Okay. And then I said, UBI is going to happen deflationary utopia timeline, right? Too early.

1:48.5

So where I'm generally wrong is I will overshoot my predictions, right?

1:54.2

Now, for you, where Neil has been wrong, Neil underestimates the speed of AI displacement and then downplaying the coding revolution, right?

1:57.0

So it gives all these quotes here.

1:58.7

So overall scorecard, to your point, Neil, you said six out of ten.

2:02.1

It said Neil is batting about 65%.

2:04.7

Strength is market structure calls, so multi-platform, SEO, shifting, not dying, creative

2:09.9

as a mode.

2:10.5

He reads the macro correctly.

2:12.3

Weakness is he's consistently six, 12 months behind Eric on AI velocity.

2:15.9

Eric, I'm batting about 72%.

2:18.3

My strength is technology trajectory calls are generally correct.

2:21.8

He's a practitioner, not just a commentator.

2:23.9

His best calls come from first-hand usage.

2:25.8

Weakness is he tendency to extrapolate personal experience into universal timelines.

...

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