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@tjrobertson52 TikTok profile avatar

@tjrobertson52

2026-04-15

AI that's "almost as good" is worthless now. The only tools that matter are ones that actually beat humans. ๐Ÿ‘€ Where do you think the bar lands? #AI #AIAutomation #Tech2026 #AITools

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Has anyone else noticed that we've had AI that's about as good as humans at a lot of things for a while now? Almost no reputable companies are actually automating much with AI. And why is that?

Well, I think it's because we're learning that about as good as a human isn't good enough if it's not at least as good of a human. It just feels like AI. It feels cheap, feels impersonal.

As AI just becomes more capable and people become more aware of what AI can do, our expectations go up. We have higher expectations for our software and higher expectations for humans. What seemed magical two years ago is just standard today.

So your vibe coded SAS product that can do an SEO audit of my website almost as well as a human can or can evaluate my tax return almost as well as a real accountant has effectively seen its value drop to zero.

We've reached a point where the only AI tools or processes that have any value are those that can do the job better than a human. And those do exist. We're building them at my agency.

And I know a lot of other companies are doing the same thing, but it's a lot harder.

6, people are realising that there's a lot more applications where AI can now do a better job than humans. And as Claude continues to ship more than one new feature every day, and models keep improving it, that's just gonna keep expanding.

So even though it is really hard to build these tools, you need someone with real domain expertise. You need to iterate on it for many, many hours. It's well worth it, and companies are noticing that, which means there's going to be a ton of competition.

And our standards for what an AI tool needs to do to have any value are going to continue to go up very quickly.

So we're past the days where you can just vibe code a cool project over the weekend and impress everyone. But if you have real domain expertise and you're willing to put in the time, 2026 seems to be the inflection point.

Source Intelligence

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AI tools that are only almost as good as a human may lose value as expectations rise; useful tools need to outperform humans on the task.

2 related signals ยท AI product quality / AI workflow productization

  • Define measurable task-quality bars for AI products and avoid shipping shallow audit or report tools that only approximate expert work.
  • Prioritize expert-led iteration, benchmarks, and QA loops when productizing AI SEO or GEO workflows.

Questions this source answers

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What is this source mainly about?

AI tools that are only almost as good as a human may lose value as expectations rise; useful tools need to outperform humans on the task.

What should an operator take from it?

Define measurable task-quality bars for AI products and avoid shipping shallow audit or report tools that only approximate expert work.

Which topics does it connect to?

This source is connected to AI product quality, AI workflow productization.

What public evidence supports the record?

Has anyone else noticed that we've had AI that's about as good as humans at a lot of things for a while now? Almost no reputable companies are actually automating much with AI. And why is that? Well, I think it's because we're learning that about as good as a human isn't good enough if it's not at least as good of a human. It just feels like AI...