Transcript generated automatically by AI and may contain errors.
Chapter 1: Why is adopting AI crucial for businesses today?
Wake up. AI is here. Open Claw moment happened over President's Day weekend and it started a month earlier and it was already acquired for a billion dollars by OpenAI. If you're not paying attention to this, then you will be left behind.
Chapter 2: How can businesses shift from role-based to workflow-based thinking?
That being said, I am not here to fearmonger. I'm here to try and prepare you for what I think is going to be the biggest shift that's going to happen in Main Street, not just the tech businesses. If you're still even doubting this at all, this is kind of my news flash for you, is that AI will never be worse than it is right now.
Chapter 3: What is the future of business with AI integration?
And if you assume any rate of improvement over any reasonable time period, learning how to use AI should become your number one priority, your number two priority, number three priority, and your number 10 priority.
Chapter 4: How should businesses effectively train AI systems?
And so that's why in this video, I'm going to share some ways to think about AI and use cases right now that you can deploy today or by the end of this video to make significant changes in your business or star one or how you work within a larger business because I'll show you how to safeguard your role there too, because I think it's important. This is also for my team.
So there's never been a better time to start an AI-first business to disrupt an existing market because all the people in that existing market are so busy running their business rather than learning AI and using words like AI-first rather than actually being AI-first.
and so the advantage that you have if you're starting out is that you have time but the thing is is that every single skill you're able to stack into your ability to use ai is going to give you disproportionate leverage over your competitors and so having started some companies in this period of time that i'm not as public about we have companies that revenue per employee we're talking about in the millions per year per head because day one we started that way because as much as people say they're ai first if you have a big organizational chart of people
It's very hard, one, to get people to do stuff that's new and uncomfortable, which technology typically is. And then also because people aren't willing to make the hard conversations of saying, hey, we automated away this role.
Chapter 5: What impact will AI have on labor and industries?
Now what people then think is, oh, well, let's find something else for Danny to do. But the thing is, is that I would encourage you to raise the bar for the whole company and the people who can meet that new bar get to stay and the people who don't, don't. And I'm sorry, and I know that's ugly and that's harsh, but like, this is reality, right? And like,
There was basically, let me play a little thing by Jerome Powell.
Chapter 6: What practical advice can help businesses thrive in an AI-driven world?
He just said this, I think yesterday, two days ago, about how there was zero jobs growth in the private sector. Think about how weird that is. Not that the economy is not doing well.
Chapter 7: What action plan should businesses follow to automate tasks?
It's that people are automating jobs away. All right. Now, again, this video is not to scare you, but this video hopefully at least motivates you to take some action because I think that it won't happen and then it will happen very quickly. So in game theory, the most flexible system survives.
And so it's very much like business Darwinism, if you will, which is that the people who can adapt are the ones who survive. It's not the strongest or the smartest. People are the most adaptable. And so that means that when there's a change in the environment right now, you have to change. You have to adapt. And learning how to use the tools is the first and best way that you can do it.
For those of you who are scared to use AI, first off, get over it. But beyond that, you often risk more by not adopting new technology than by fearing the potential downside that a small percentage of people experience. So some people are like, what about AI safety and all these different things?
Chapter 8: What are the long-term implications of AI on business success?
I'm worried that AI is going to take my credit card and go spend it. Of course, there's weird edge cases where someone gave too many permissions to an agent and they didn't have enough guardrails installed. But it's like saying, I got hacked on the internet, so I should never use the internet again. It's not good reasoning. Right. And so why don't more people adopt AI?
Well, the reason is more like complacency. Right. There's a short term cost that you have to incur in order to learn a new thing, period. So it's just like training an employee. If you're thinking to yourself, well, I don't want to train this employee because it's going to take me time to do that when I could be doing the work.
It's like, yeah, but as soon as you train them, then they can do the work forever. right? It makes sense to do it. But when you think too short term, which most humans do, then you end up losing to people who can think even a little bit more long term. And I will repeat this tweet that I've said before, because I think it's so relevant right now.
It takes about 20 hours to become proficient in any new skill, but people delay the first hour decades. And so I promise you, if you take a weekend and say, Saturday, Sunday, I'm going to sit in front of this computer, I'm going to figure out how to do that. I'm going to figure out how to get an agent to do something for me.
If by the end of the weekend, you haven't completely built something, but you actually tore the wrapper off, you actually got your hands in it, your understanding of it will increase more than any amount of articles that you can read that are fear-mongering and baiting you in, that are just getting for views and impressions.
Let's shift to what this actually looks like within an organization, whether you're working at one or you're leading one or you own one, is that you have to stop thinking in role-based thinking and start thinking in workflow-based thinking. So let's break this down tactically. For every hire that you're considering,
You wanna write down the four to six things or eight things or 10 things that that person actually does, does with their hands and their eyes and like in their mouth, does stuff, all right? And then ask whether each of those activities could live inside of a workflow instead of headcount. And so the old thinking or the old paradigm is I need to hire an editor.
The new thinking or paradigm is what are these five things an editor actually does that creates a video? And each one of those things should be a workflow. So let me just give you a visual to kind of drive this home. So let's say that you have an organization that looks like this, okay? Very simple. Each of these roles has tasks underneath of them, or at least they should, right?
Of course, they should. But all of these is to organize humans, not to organize the inputs and outputs. Because in an organization, if we were to do something perfectly, we would have it much more like a manufacturing business. Now, what does that mean? Every business at its most basic level takes raw inputs, adds some special sauce, and then you get an output that's more valuable.
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