AI Is About to Feel Too Easy

On this channel, we review all of the leading AI tools and advancements, basically what's happening in the space that you as a professional or business owner need to know about. But for the next few minutes in this one, I want to take a step back and philosophize with you about, I think, the frame in terms of productivity and the shift that we're starting to see, which will make you most productive and the best way for you to internalize how you can start to become more productive in the era of AI. So plug in some headphones, go for a walk. This is a fun one, for sure. And let's hear a word from my sponsor and then we'll get into it. So before we get back into it, I want to show you something that will actually change how you think about creative work with AI, and that is Luma agents. And the issue with AI for creative work right now is not ideas, it's tool management. You're switching between an image model, a video model, this audio app, slack threads, and project files, and who knows what else. And by the time you stitch it all together, your original creative vision is buried somewhere in tab 47. So Luma just launched Luma agents, a new class of AI creative collaborators built on what they call unified intelligence. So instead of chaining together separate models for language, vision, video, and audio, it's one unified multimodal architecture that reasons across all of those verticals together. So Luma agents are not one-shot generators. You don't just give it a prompt and cross your fingers. When you create with Luma, you direct and then the agents execute and you iterate together across the full scope of the vision and project. So they hold context, they route the right models under the hood, and then advance those multiple creative directions in parallel, while you on the human focus on what you should be focusing on, things like the taste, the intent, and the overarching direction. Now it's already been deployed across major agency groups like publicists and service plan, and it's built for marketing teams, content creators, and anyone should be in more creative work who wants more output and more productivity without sacrificing quality. So if you want to try Luma agents, you can sign up at this link on the screen or in the description, or this QR code on the screen. Either way, make sure to check it out, and let's get back to the video. So you may have experienced something that I did as well, which I think was most viscerally experienced with something like vibe coding when that first became a thing, which is a very material abstraction from the act of coding itself. No longer are you typing out the brackets and the commands. You are telling something else to do it, and it goes and writes it. It's a very clear abstraction. That's kind of one level up where the work is being done, and you are telling the thing how to go and do the work. And it's a weird kind of feeling because you're getting the work done, but something else is doing it for you. But what's interesting about this is that it still feels... but what's interesting about that is that it felt weird, and that is because it's new. And then when we think about the world through that frame of abstraction, of the work just being done by something else, it's only weird when it's new. And then it's so ubiquitous that we don't notice it. And I can give you some examples there. I think a calculator app. If you went back 150 years, and there were a bunch of people sitting in a room doing calculations by hand, and then you handed them a calculator, that calculator was doing the same work they did. And that would be extremely weird for them. They'd be like, this is magic. What's going on here? It would also make them a lot more productive, but it would feel odd. And then today, we're using calculators. We don't think about that. That is just our standard for abstraction from math itself. And there's plenty of other examples of that. I think ride-sharing is a good one. You're not driving. You just tell someone else. They come pick you up. They drop you off. That's also very normalized. A lot of these things are normalized, and even vibe coding has become normalized. It's a very normal thing now to just kind of talk with your AI, and things just get built. But then what's really interesting, and kind of, again, the shift that I've personally started to experience in the past few months, is that degree of abstraction starting to become present in a lot of other workflows, which more represent the entire white-collar professional suite. Things like your sheets, your docs, email. I can feel myself, not in some situations, where I absolutely don't use AI, but for the ones where AI is relevant, and is a value-add. I can feel myself abstracting from all of it, kind of going one layer up. And it feels very odd to just kind of let go, and let the AI do the work that used to be done not very long ago, a few weeks or months ago, by itself. It almost feels too easy. It should have to be regulated by a human. If you did it, and it was hard for you, you feel a need to kind of be in there, and still manage it. And I'm on the front end of that whole wave. I use these tools a lot. I talk a lot about it. So I think you, or your team, or your business, you're going to start to get this in a few months, where you too will kind of abstract, just like with vibe coding, and how that's gone over the past year. Not just from coding, but from all of the entire suite of white-collar platforms, and work that have been present since the internet came about. Your Microsoft suite, your spreadsheets, your data analysis. We're levering up in terms of productivity. In some cases, we shouldn't. In some cases, we should do it a lot more. And in all cases, the tools are getting a lot better. So all of this will become a lot more easier to kind of sink into over time. And you see examples out there of people kind of going two levels up, of having the base work getting done by an agent, or by a set of agents that are instructed by other agents that you're managing. Maybe that's the future as well. But for now, I think what I'm observing, and what I'm feeling, is again that general shift across a whole lot of these very standard professional workflows, and systems, and processes. Now I think that's a really good thing in some ways. Because it means a lot of that promise of agents, and of AI doing the work for you, is starting to come into fruition. Because this is not something that I was doing six months ago. It is a relatively recent thing in terms of the fluidity, the degree of quality, kind of the manner by which I can take a step back, and don't have to hyper-regulate every little thing that these bots, or this AI does. And that really does vary widely by the type of work that you do. In some cases, people can just automate their whole job, and kind of just step back from it. In other cases, you still do absolutely have to do all of it by hand, and you should. But the fact that we're at a point now, I think, we're starting to get to this point, and I think this will apply more generally again, toward the latter end of 2026, into early 2027. Whereas you can cut down the volume of work that you used to have to do by 10, or 20, or 30x, and just fully level up, kind of a layer up, or level two layers up potentially, is pretty incredible. Now something that I've talked about on this channel before, is the notion of keeping the big thing, the big thing. Whereas whatever makes what you do as a professional, as a business owner, unique, what keeps the business, and business, kind of the core idea, or insider process, or for what you do at your job, right? Keep that thing human. Keep that thing you, and use AI to make you better at that, and to keep that big thing, or I guess the way to phrase it is, make that big thing bigger. I think that's the proper frame for it. Because if you start to AI out that thing, you have no moat. Anyone can come in and do the exact same thing, because these tools cost 20 bucks a month. And if there's value in the way that you organize the systems, which do that thing, and that's remote currently, that'll start to get outmoded over time, relatively quickly, because the agents will just internalize their own abstraction. They will start to have sub-agents, have sub-systems integrate on their own, et cetera, et cetera. I think the single best way to pair, right, the human professional, or business, and AI currently, is as a magnifier on what that human is really good at. Maybe that's the ideas they have. Maybe that's their connections. Maybe it's distributing their product, or service, which has some kind of physical moat. And that's as opposed to just end-to-end AI does everything. But for the thing outside of that big thing, for all the work that's supplementary, or just needs to get done for the big thing to function, that is where I think you just want to put your foot all the way down, and you want to abstract as much as you can. Just rip out the manual work, let the AI do it, within quality, and safety, and privacy bounds. But within those bounds, just hands off, level up, and approach all of that with the frame of, it may feel weird now, but that work that we did six months ago was a human in the floor of a building doing calculations by hand before the calculator. In the forward-looking frame, I think of looking for, what is the new tool that's a calculator for me? What rips out that manual work, and lets me do it with intelligence in the form of compute? I think that's a beautiful thing. It's a crazy world we live in. But for better or worse, that is how you continue to accelerate your productivity, your output, your business. And that is where I'm going to wrap this video. Let me know what your thoughts are. Appreciate you being here, and I will see you in the next one. Cheers.