AI won't kill agencies.
The speaker argues that AI will not kill agencies because there has always been a gap between possessing knowledge and executing it. People have historically paid others to perform tasks they could learn but choose not to, and this dynamic will continue regardless of the technology involved.
Summary
In this brief clip, the speaker makes the case that agencies will continue to thrive despite advances in AI technology. The core argument rests on a fundamental and enduring human behavior: people consistently pay others to do things they theoretically could learn themselves, but choose not to invest the time or effort to master. The speaker frames this as a timeless principle, drawing a historical comparison from ancient skills like shaping stone into wheels all the way to modern AI automations. The implication is that the specific skills in demand change over time, but the underlying dynamic — paying for executed knowledge rather than acquiring it yourself — remains constant. The speaker concludes with confidence that agencies, as a business model, will continue to work.
Key Insights
- The speaker argues that there will always be a discrepancy between possessing knowledge and having it executed, which is the fundamental reason agencies remain viable.
- The speaker claims that people have always paid others for tasks they could learn themselves but choose not to, because they don't want to invest the time to acquire the skills.
- The speaker draws a historical analogy — from ancient skills like grinding stone into wheels to modern AI automations — to argue that the specific skill set changes but the payment dynamic does not.
- The speaker explicitly states that AI automations are simply the current iteration of skills people will pay others to handle, placing them in a long lineage of specialized crafts.
- The speaker concludes with a direct assertion that agencies as a business model will continue to work, regardless of how powerful AI technology becomes.
Topics
Transcript
[0:00] No matter how powerful technology gets, I think that fundamentally there's always going to be a discrepancy between no knowledge and executed knowledge. And people for the longest time ever have been paying people for things that they could do but have decided not to learn cuz they don't want to invest the time to get the skills. And no matter what the skills of the day are, maybe a few thousand years ago it was how to, you know, ground a big square blab of concrete into a wheel and now it's AI automations. I think they're still going to pay. I think that agencies are going [0:30] to work.
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