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What will AI actually change in 2026—and what’s being wildly misunderstood?

Episode 59 · 28 January 2026 · 36 min

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AI Predictions 2026: What Will AI Actually Change, and What Is Being Misunderstood?

AI predictions for 2026 are everywhere. Randy Lorensen, Dr. John Oberg and Anthony Marino work through UX researcher Jakob Nielsen's 18 predictions one by one, pushing back where real-world experience says otherwise. Then they share where they want AI to go next, from a personal tutor to a Jarvis of their own.

In this episode of Tales of Abundance, Randy, Dr. John, and Anthony break down 18 major predictions about where artificial intelligence is heading, based on a widely discussed forecast by UX researcher Jakob Nielsen—then challenge it with real-world experience, skepticism, and optimism.

They explore how fast AI is truly accelerating, whether AI agents will actually replace jobs, why energy and power—not chips—may be the real bottleneck, and how AI could reshape creativity, education, apprenticeships, and even human identity. The conversation spans from Jarvis-style personal AI assistants to workforce disruption, AI manipulation risks, privacy concerns, and what it will take to ensure AI becomes a force for abundance rather than dystopia.

This episode is less about hype and more about what’s already happening, what’s coming next, and how individuals and businesses should prepare.

How Will AI Change in 2026? AI Agents, Generative UI and the Power Bottleneck

What you'll discover:

  • Why change keeps accelerating, and what "smarter than humans" actually means
  • No moat for AI labs, and why power and compute are the real bottleneck
  • AI agents, generative UI and dark patterns moving into the model layer
  • The two-tier AI world, one-to-one targeting, robots and the return of apprenticeships
  • Will people still pay for human-made content?
  • Randy's prompt for a 30-day AI course built around your own goal, and John's caution about trusting AI

Timestamps

  • [00:00] Welcome: Jakob Nielsen's 18 AI predictions for 2026
  • [01:16] Prediction: relentless, accelerating change
  • [02:52] What does "smarter than humans" mean, and the Jarvis benchmark
  • [04:35] A new AI scaling law and continuous learning
  • [06:00] No moat for AI labs: everyone catches up
  • [07:20] The compute crunch and the power-grid bottleneck
  • [09:02] AI agents and the delegated interface
  • [11:20] Generative UI that adapts to the user
  • [12:05] Dark patterns move to the model layer, and where security lives
  • [15:09] Multimodal AI: voice, vision and imagination combined
  • [17:20] Easier AI image editing and longer AI video
  • [19:53] The two-tier AI world: free vs. premium users
  • [20:23] One-to-one targeting and the risk of manipulation
  • [22:22] Physical AI: robots get a body
  • [22:57] Apprenticeships return
  • [23:48] Will people pay for human-made content?
  • [26:20] Break: AG1 and Premium Cabinets business opportunity
  • [27:46] The hosts' own hopes for AI: a personal tutor
  • [29:34] Randy's prompt: a 30-day AI course built around your own goal
  • [31:00] John's caution: AI can sound certain and still be wrong
  • [33:02] John's year: finding the highest-impact uses for AI
  • [33:54] Building a personal Jarvis, and the privacy trade-off
  • [36:06] Wrap-up

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About the hosts

This is a hosts-only episode with no guest: Randy Lorensen, Dr. John Oberg and Anthony Marino. (Host bios are on the host pages linked below.)

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Meet the hosts: Randy Lorensen · Dr. John Oberg · Anthony Marino

Transcript

A full transcript is below. It comes from the episode recording and has speaker labels, but no time markers. It hasn't been proofread, so expect some errors in names and terms.

Dr. John Oberg: Foreigners.

Randy Lorensen: Welcome to Tales of Abundance. Thank you for being here as always. I'm with Anthony and Dr. John. How are we doing today, gentlemen?

Dr. John Oberg: Can we say peachy is. Is peachy and allowed in today's day and age. We shouldn't say that, should we?

Randy Lorensen: Your dad jokes and phrases can go anywhere.

Dr. John Oberg: So it's not a dad joke. Wow, tough crowd today. Tough crowd.

Randy Lorensen: All right, so let's jump right in. John, you shared an article with us. I believe it's 18 predictions of where AI is going. So yeah, you want to kind of take us through that. I think we all thought that was really interesting and there's some good insight. I don't know if I agree with 100% of it, but that's what we'll discuss.

Dr. John Oberg: Yeah. So once a week I get together with some people who are pretty innovative in AI and we talk for 15 minutes about the kind of the state of affairs with artificial intelligence. And this article came up in one of these conversations. And this guy who's not part of the group wrote an article Jacob Nielsen on. He talks about UX primarily so user experience, but he had 18 predictions for 2026. I was just going to walk you through his predictions real quick and get your reaction to them fast. And so the first prediction he has is that accelerating, relentless change in 2026 will continue to accelerate. And he talks about how things that used to take seven months in model design are now taking four months. And he basically says that end of 2030, we'll be able to do in one day what humans would take 100 years of work to do collectively. And so the question is, what would 100 years of work be? It would be a group of people working on a mid budget movie like Bollywood. Takes about 100 person years of work to put that together. And he's suggesting that what might be a $9 million Bollywood movie today will be a $200 movie with one day of effort by the end of 2030. So that's how fast we're accelerating reactions.

Randy Lorensen: I don't like. I can't disagree with that one. I think it's happening and I think it's happening, it's happening accelerating faster all the time. Right. Like I think, whatever, it's funny, a lot of times as humans, we're bad at predicting how long and we tend to think things are going to get here faster. I know I've certainly been guilty of that. With a few different technologies, AI is moving faster than I, than even I expected. Like it, it's, it's Almost moving so incomprehensibly fast that I would say that people that are in it all day have a hard time keeping up.

Dr. John Oberg: What? Yeah, one chief technology officer said to Deloitte in the article. He said that it takes longer to research the new technology than the amount of time that technology stays relevant. Wow.

Randy Lorensen: Well, I've heard. I've heard it's smarter than all humans on earth combined. Right. Like that's, that's one definition I've heard. I've also heard that it is just smarter than one really smart human and maybe not in that person's expertise. But all told, if that's the definition, we're there, right?

Dr. John Oberg: Yeah, I think this is. I think. I think this is more about being able to kind of work intelligently, autonomously, creatively without getting, you know, without hallucinating, getting off track, being, you know, telling me what I want to hear. So right now, AI predicts the next one word that it should say to accomplish an outcome versus truly, you know, solving a problem. I'll give you a great example. In our medical practice, we go out and look for medical data online and we find lots of problems with them. Medical data in the broad universe of intelligence versus what's known in the scientific community. And AI can't parse those things out today where a doctor can. So we're not there yet. I don't think we're gonna get there in the next year, number three.

Randy Lorensen: So my, My definition would be going back to. I always say I'm looking for Jarvis from our Iron Man.

Dr. John Oberg: There you go.

Randy Lorensen: Right?

Dr. John Oberg: Yeah.

Randy Lorensen: And that would be my definition to people that haven't seen Iron Man. It's Tony Starks computer that he talks to. And it just. While he's working on something, it's solving bigger problems and assisting him. And they're working side by side. To me, that's. To me, that would be what I would think of. And I just don't think we're that far away. I don't know if it's going to hit this year, but I don't think it's going to be that long.

Dr. John Oberg: He says not this year. I tend to agree with him. I'll go to. I'll go to number three. And number three says the new AI scaling law. And so basically he says we'll get a new paradigm this year for AI scaling so that we get, you know, just more continuous learning. I don't even understand what this prediction is, but he's saying new breakthroughs, investments increasing. I don't know Everything scales faster as it goes. That's been technology since Moore's Law. I just, I'd have a hard time pushing back against that one.

Randy Lorensen: Yeah, I mean, look, Tesla just launched a nonster, what's it called, Colossus or something or not. Tesla Xai Grok basically just had a 1 gigawatt training cluster, which is the biggest. And at about the same time, Chat GPT had one that was like, you know, three quarters that size. I mean, they're massive, massive training structures. We, we were talking before we jumped on John, AI has been really slow for me lately. Right. Like I. This morning I have refreshed chat GPT about 50 or 100 times trying to get some stuff done and it just, it's struggling for bandwidth right now.

Dr. John Oberg: Yeah.

Randy Lorensen: You know, like the real. I don't know if it's chips or energy or what it is, but it's struggling to keep up right now, so.

Dr. John Oberg: Oh, and that's going to show up. That's going to show up in a couple of these later predictions in really important ways too. Prediction number four was no moat for AI labs, meaning that, you know, a particular AI lab like OpenAI or Gemini, with Google, they're not going to have a sustainable competitive advantage because of their model, because whenever they release something, the other. The others will just add that to their model within a few months. And so basically it's like he's saying that if it's really important to you to use the latest and greatest model, then you have to build your infrastructure so that you can change models pretty rapidly. And if you're okay with being a few months behind, then everyone's going to catch up eventually. Is his prediction.

Randy Lorensen: Can't argue. I mean, I can't argue with any of that. It's interesting because when all of this started, everybody just assumed that Google was going to be the leader. Right. And all of a sudden when Chat GPT came on the scene, I feel like Google might have been slow playing the technology. Like, I think Google has internal technology that they've been using for quite a while and they haven't released it to everybody else. They were trying to keep it in house and all of a sudden when somebody else came out, I think it forced them to step up their game. I still think Google's ahead in my personal opinion, they're just, I still think they're slow playing us, but that's just my theory. It's based on nothing but gut instinct.

Dr. John Oberg: Well, number seven, we're only, we're not even halfway done yet. The compute crisis continues. You've got, you know, lots of these companies are vertically integrating into nuclear and other types of power deals. I think we've covered that already, but I think, you know, continuing vertical integration. And also, you know, the chip shortage continues to be a problem. Is one of the. That seems like a pretty mom and apple pie kind of prediction. Like, duh. Right.

Anthony Marino: Well, you know, I listened to Musk yesterday on a podcast talk about that. The chip shortage is not. Is not a problem. It's the. The problem is going to be the ability to turn those chips on, is the way he framed it. You know, the lack of, you know, trend. You have to have transformers for the transformers, you know, just the hardware to bring the. The level of electricity, the gigawatts down to whatever and so on. But he believes that this is going to be a big, big, big problem for the United States, not so much for China. He believes that China is putting, you know, a lot of. A lot of effort into expanding their grids and delivering their. Their power through all different sources, including his favorite, which is solar, of course.

Dr. John Oberg: Yeah.

Anthony Marino: So this could be a game changer in terms of who wins the race, if there is such a thing as a race. So it's a big deal.

Dr. John Oberg: Yeah. Next prediction number eight was AI agents. This guy says 2025 AI agents didn't really fulfill the entire promise, but he thinks that 2026, you will see AI agents will evolve and will start to have a conversational UI and a delegated UI assigning AI a goal. And he's saying that we will start to see agents fulfilling a promise that actually functionally changes how the workforce is organized. And so I tend to think that maybe that won't happen entirely in 2026, but we're going to take big steps in this direction. Randy, you're muted, so.

Randy Lorensen: Sorry. Somebody in my house ran the printer while we were going, which is behind me. But anyway, it's already happening. Right. Like, I mean, if we look at what companies are doing and profits without hiring new people, productivity is increasing, profits are increasing. So to some level, it's happening. I just think most people don't know how to program it, make it work. I'm using it, you know, probably not the way some of these companies are using it, but I'm doing that now. But I. There's, you know, for me, there's huge, obvious advances that could make that a lot easier.

Dr. John Oberg: Yeah, I think.

Anthony Marino: I think I was listening.

Dr. John Oberg: Oh, go ahead. Sorry, Anthony. No, no, I was going to take us to the Next one. Go ahead.

Anthony Marino: No, I was listening to the CEO of Templeton Investing this morning and she, in her discussions with CEOs and CIOs across, you know, big companies basically said nobody really knows what the heck they're doing yet. You know, the ability of the technology has exceeded people's capacity to use it. And she says in the next, the winners are going to be the guys and women who figure out how to create agents and how to become far more productive than they are now. And she thinks there's going to be a shift to very few are going to win this race quickly. And she's trying to figure out who they are so she can bet on them.

Dr. John Oberg: Sure. Well, number nine is about generative ui. So the generative user interface, where the static user interface that we're also used to having is going to make way for a generative user interface in a high trust environment. Saying that the AI is going to adapt to the person and the situation, which is really cool in terms of customization, I think it has some problems in terms of like people learning how to do the same thing over and over again. Could be some problems there. But it'd be super cool if the AI kind of reacted to the person instead of the person having to learn all the different new user interfaces. That would be cool.

Randy Lorensen: I got nothing to add there.

Dr. John Oberg: All right, number 10, dark patterns moved the model layer. This is where we kind of go back to what Anthony said about how, you know, AI can be used for, For. For not good. And so one of the things it talks about is like the AI giving you false urgency to get you to buy something, or the AI making it more difficult to cancel a subscription or like all these things you can have an AI agent doing that are, you know, not helpful to the consumer and opposite of what the consumer wants because the AI model has been told to do that on the back end, not by the user themselves. This is the kind of. The dark patterns and them coming up in the models start to be manipulative with people, which could really be negative in the, in the marketplace.

Randy Lorensen: Again, I'm gonna, I'm gonna stick with we need good to outweigh, we need good to beat evil, and we just need more people doing the right thing. And I think if we go back to what Anthony said earlier about this becoming. He didn't use these words, but democratized, right? And cheap enough. If it becomes cheap enough, there will be a choice of whatever you want. And I think that's where this is going, right? It gets it'll get more and more efficient and you may not be able to run the full model, but if you can run one that's 95 or 98% of the full model and have it have the beliefs, the values, the outcomes that you want, I think that's where we're going. I'm not saying we're going there this year in 2026, but that's, that's where it's heading.

Dr. John Oberg: Well, the question for me is where is the security going to live? Right? So like, you know, back in the 90s, I was installing like Norton's utilities to make sure that I didn't get, you know, malware on my computer and that exists in some form or fashion today. And so is that going to be a third party AI that I've got to use that sits over the top of my experience, or will I purchase a model that, that built in? Will I be able to adjust that? Who do I trust is going to be a big question for the future.

Anthony Marino: So I guess what I was talking about wasn't so much that as, as, you know, what does AI create, create on its own, you know, that we, we don't realize it's creating, you know, we're giving AI access to medical records and financial records and so on and so forth. And I just, it just if, if it's at the pace it's moving and what it's capable of doing is is it capable on its own to create something that we're going to have a tough time dealing with? And I just, I don't know what that is, but it's just, it just seems like some even not a person, a thing, the thing doing its own thing.

Dr. John Oberg: Well, and how much transparency are we going to get about what's what, how it's being told to treat us? That's going to be a question for the future that I didn't see in this article. Maybe it' but I think that's going to be a question for people is like how is it being programmed to treat me and how much transparency do I have into that and is that going to be a third party technical audit? So it's going to be interesting. Number 11 was the multimodal AI, where right now we have primarily text AI interface today with you can speak into it and it can transcribe. But this guy thinks that Again, Jacob Nielsen, PhD, thinks that 2026 is going to move into a system that speaks, listens, sees, imagines, all of it, so that we don't have just a text based AI but we're going to be having, you know, all of those ways of interacting with the AI come to be regular in this coming year. That's a big step forward if that happens.

Randy Lorensen: I mean, don't we already have a lot of that? I think John, you and I use screenshots and images all the time. Right? And I think you, you said recently you do that as well.

Dr. John Oberg: 100% I do. I use voice, I use, I use audio, I use all of that. I think getting it to be a place where it actually interacts with you more naturally in that way would be the big jump forward. Right. So I think that'll be very interesting. 12 is that single mode AI providers are bought up by multimodal AI labs. So if you're really good at one kind of AI, you're going to get bought up by that goes back to your point, Anthony. And so your question, like can Anthony AI do all this? Sure, probably. But it's going to get soaked up by OpenAI or by, you know, Google or X or someone. Probably. Probably, yeah.

Anthony Marino: And for people out there that are, that are listening to us, that are, that have the talent, you know, if you create the right an application, small, medium, large, that's where some, you know, serious acquisitions could take place. I mean, you know, Instagram was bought for a billion dollars and I think at the time there were 60 people working there. You know, so what is the, what is the version of an AI application that would be parallel or equate to what Instagram or Snapchat or these things are? So there's opportunity out there for the right people. I'm sure people are working on all that stuff right now. So startups all over the place.

Dr. John Oberg: Yep, that's right. Let's see next here we've got editing AI generated images. He thinks that it's going to be much easier to edit images this year where it's going to be much more, you know, little tweaks versus having it re render the entire image. And so the AI editing is going to be easier to deal with. I mean that's not my world. I don't use it that often, so I can't really speak to that one. It'd be super cool if we could do it.

Randy Lorensen: I've been experiment, I've been experimenting, playing with some things there and it's. Gemini is really good. The others suck at it from my experience, but Gemini is really, really good at that and getting better. We talked about this a month or two ago and it's significantly better now. Than it was a month or two.

Dr. John Oberg: Ago when we're seeing much longer stream. Like, I think I just saw clips of like 20 second video sessions coming out or used to be eight seconds and they're getting longer. And so we're going to see more and more of that type of AI happening. Number four. Cool.

Anthony Marino: That's cool stuff. That's cool stuff.

Dr. John Oberg: Yeah.

Anthony Marino: That's what people. That's what people want. You know, they want fun and they want entertainment. So yeah, I can see a lot.

Randy Lorensen: Of that eventually when it's long enough. I really believe when we go to Netflix we are not gonna like now how you scroll through. I believe that at some point you will create your own personalized AI content. It knows. John likes this type of hero. Anthony likes.

Dr. John Oberg: Yeah, I don't know.

Randy Lorensen: This type of woman is, is, is appealing to him or this storyline. And I think it will create stories, shows in the context that people want, I think is inevitable. I don't, I'm not saying this year that's still a ways away, but that's coming.

Dr. John Oberg: That'll solve a big problem for me. I just went and saw a movie at the theater that Rotten Tomatoes had it like 98% or something ridiculous. And I would have given it 2% and so clearly I was not on the same page as Rotten Tomatoes for this one.

Randy Lorensen: You always look at the popcorns, never the tomatoes. They got the popcorns and the tomatoes and the popcorns are from the fans. I always look at the popcorns.

Dr. John Oberg: You know about that content though, beyond video, Randy, which I've got literally a banker's box full of like audio, video and written stuff from my grandfather. And I didn't get a chance to really interact with my grandfather past the age of like 20. And he had a lot of things in his career that could have been really helpful to me in my adult life. I really am looking forward to the day where I can dump that into an AI. AI with relative ease, which we're not that far from that today, and then have a conversation and see how that AI reacts. I think at this point the, the constraint's not the AI. The constraints, my time and willingness to go set that up. But we're, we're pretty close. So. Number 14, the two tier AI world. I'm already experiencing this. There's going to be a have and have nots. There's the free AI users and the ultra premium AI users and the level of difference between the experience. I mean, I saw it today. I couldn't get deep research to do Something on a low tier paid account. I went to a different account where I have high tier paid account and it spit it out immediately.

Randy Lorensen: Yeah, so again this comes back to energy chips. I mean the bandwidth so same, it's really the same thing.

Dr. John Oberg: But 1515 was about niche targeting, how we're going to have one to one data and ads and everything promoted to us, which I think is great in the sense we get served up exactly what we want. I think the opportunity for manipulation becomes very high unfortunately. So we're going to have to have some hopefully very functionally emotionally mature adults to be able to offset I think the onslaught of emotional attempts to sell things. I think that's going to get ugly.

Anthony Marino: You know, countries are in states are, you know, limiting access for younger, younger folks to social media. What's the difference between what's being served in social media? What's the difference between AI and social media? And is there a difference? And that this, this would, should frighten people who are concerned about the influence technology has on its youth.

Randy Lorensen: Well, I think you're, you're right. It is the same thing. Right? Like, like these are, these are these algorithms that AI creates to keep you engaged in rage baiting and all this stuff. I mean that, that's what it is.

Anthony Marino: Yeah, we're going to regulate, we're going to regulate AI.

Dr. John Oberg: I don't know if we can or not. I think parents need to certainly be really high on that list. And you know, the people this, in this article the guy says that the, you know, one of the very few types of roles that will maintain its humanness, human necessity in the short term is that of a teacher. And I think from like a teaching, the technical teaching part, that's probably not true. I think AI is going to be a better teacher of the information. But in terms of like the humanity of teaching, I think teachers are going to take on a new role and an important one as our parents going forward. So. All right, a couple more before we wrap this part up. Number 16, physical AI. The brain gets a body. I think we all agree that robots are coming. I think there's going to be some really easy ways they show up in the world. And so, you know, in Austin, where we live, one of the easiest ones we see is the kind of the robot taxi. You know, Tesla's got a robot taxi. We have Waymo here in town. We've got a number of different, you know, automated. Yeah, there's four or five of them here. So I think that's already happening. I think we're going to keep seeing that. I think the thing that I'm looking forward to is more than just the humanoid robot, but all the different form factors we're going to see over time. So 17 is the apprenticeship comeback. Like, I think everyone knows it takes an experienced person to get the best results out of AI. And right now AI has caused a lot of junior jobs to go away. So we're going to have to rethink how we bring new, unexperienced people, inexperienced people into the workforce. And 2026 is going to be the year that we really think through that. Is that what this person says? I don't know if that's going to happen, but I'm hopeful that it does. I think it's the right approach. It's the approach I'm trying to take with my family and my companies, but. So I don't know if he's right in terms of prediction, but certainly it's important to me.

Randy Lorensen: I completely agree. Right. Like, I hope it happens. I want it to happen. And I don't think it's going to happen in 2026. I just don't think we're, we're ready to abandon the way we've been doing it for, you know, decades now.

Dr. John Oberg: The last prediction he has is that human luxury is not human touch is not going to be a luxury that people want to pay for. You know, that at some point we're going to be OK watching a Hollywood movie that wasn't written by a person, we're going to be okay listening to music or reading a comic strip that wasn't written by a person. And I think that at the end of the day, that's right. I think we're going to, you know, I think a lot of people are going to be need to rethink their careers in the same way that has happened throughout history over thousands of years.

Randy Lorensen: So, yeah, this is one of these things where humans lie to themselves. I think I, I think I watch this a lot in AI and they're like, AI is never going to be able to blank. And usually I'm not so sure. Right. You know, I've watched this inside of one of my companies, you know, this week working on this product to be able to take Facebook messages and sell off of them. And I've watched the evolution of my team working on it, going from kind of thinking this is just something extra and it's, you know, to being like, oh my God, this is already better than humans. And like they, they kind of thought the human was needed as as little as half a week ago. And now they're like, oh, the human's a hindrance and kind of in the way.

Dr. John Oberg: Yeah. I mean, I don't, for me, I recognize the ethical challenges and the dilemmas that come up for individuals who may have to rethink their career. And well, I think that for society as a whole is probably going to be okay. The individuals themselves may not be. And I mean, look, this is a problem as old as time itself. Like, there are times that a species acts in the species best interest, but not in the best interest of the individual member of the species. And so this is not a new problem. It's one that I hope people get sensitive to and I hope that we can kind of help each other through it. But I think that to say that it's not a problem or that we can regulate that problem away are what did someone tell me earlier in my career? That's like trying to push water uphill with nothing but your hand. All right, there it is.

Randy Lorensen: Break.

Dr. John Oberg: So 18 predictions Jacob Nielsen, PhD on substack. Check him out. I've never met the guy, but Jacob, if you're listening, certainly appreciate the work you're doing here. J A k O B nielsenphd.substack.com let's take a break.

Randy Lorensen: Perfect. All right. With that, let's go to break. When we come back, we are going to get into our predictions and instead of Jacob's, we're going to talk a little bit about where we're going we think it's going or where we would like to see it go.

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Randy Lorensen: Tales hey, it's Randy from Tales of Abundance. Is starting a business part of your journey? Do you have Ambition, but no clear path. Maybe you feel trapped in your current career. Do you want a real business that can produce $250,000 or more income for you and your family? We have an opportunity for a profitable business that can be part of your path to abundance. I want to personally invite you to see the proven system we've built. It's designed to give you that freedom and control you've been searching for. Visit premiumcabinets.com abundance to learn more. That's premiumcabinets.com abundance Listeners, welcome back. Still here with John and Anthony and we've been talking about AI predictions, where it's going in 2026 and now we just want to give, we've already been giving our opinions clearly. But what, where do you guys really think it's going to go in the next, you know, year, six months, what, however far ahead you can see or, or where do you want to see it going?

Anthony Marino: Well, I know I'll jump in here because I have no idea about predicting where it's going. But I can tell you what I need. You know, I need a teacher, I need a mentor. I need something that's going to guide me through my problem solving. And, and right now it still requires a lot of key banging to get there. So I want to have an interface that I can ask it a question. I'm working on a project. I have a problem I need to solve and I want it to teach me how to do it. I want it to give me videos, I want it to give me, I want it to type out what I need. I want it to do it for me. I want to be able to talk to it and have it do it it for me. You know the, the issue and I spoke about this earlier, the access that we're given these tools is a little scary. I mean if I, if I, if I told, do I ever give these tools access to my folders, to my documents, you know, other than one at a time in an upload, you know, go search my database for such and such. I wonder, I wonder where that's going to go. So Anthony, are we going to do that?

Randy Lorensen: Anthony, I got really good news for you. I have created a prompt. I am going to send it to you. You can literally copy and paste it. So I was coaching one of my guys last week and in his case he was talking, we, we just keep going back to long term motivations. He's doing really well but he never knows where he's going 10 years down the road or has any long Term vision. And anyway, we were talking about AI and he's, and he uses AI every day. But he's like, I got to get better at this. How do I learn? So we went in and we created a prompt on the spot with the initial intention of teaching him AI to make like a 30 day course where he could spend 10 to 20 minutes a day him learning AI and using AI to create the course. But then I added what else do you want to do? How do we make this fun? Like how do we put the AI learning in the background and pick something? Now in his case he picked this 10 year goal, but it could be how to improve your golf game. It could be how to learn Spanish that John wants to work on. I literally. It asks you about eight or ten questions at the beginning to get your goals and your objectives and then it executes the prompt and will create the training.

Dr. John Oberg: Training.

Randy Lorensen: So I will send you this. In fact I'm happy to give it to listeners. We can put it in the show notes. Notes or not in the show notes in the, on the, on the website and you can use this and play with it and it'll create your. It literally will create it for you and it's a great. You can come.

Dr. John Oberg: I would, I do want to caution. I mean I, I do this and I think it's a great thing to do. So I'm fully supportive of this. And, and I think it's really important that we don't just listen to the AI as if it's as certain as it sounds. It's sometimes wrong. And so like last night we were going through some health stuff with, in our family and it pulled up a bunch of stuff and like 80 or 90% of it was accurate. But there were a couple things that were just dead wrong in 180 degrees, the wrong direction and were going to send us the wrong way. It happened to be something I knew something about. So just as listeners, you can't just blindly follow AI. AI is there to teach you. But like any good, you know, learning, you've got to make sure that you are appropriately cautious. But don't let that stop you from doing it. Like I just. Because I'm saying be cautious. I want you to know I do this on the regular.

Randy Lorensen: This is. We, we got the obligatory Dr. John disclaimer, which I appreciate. And.

Dr. John Oberg: AI can make people stupid. Randy. Like, like it's true that when AI teaches AI, it gets dumb over time. We don't want that.

Randy Lorensen: Just a joke, John. But it's, it's the disclaimer we always get on this. I'm not. And it's good. I think it's an important disclaimer. My argument on this all the time, though, is that we have way too high of expectations for AI compared to humans, because humans make mistakes all the time, go the wrong way, need to be redirected, need clarity. This is the same process as managing a human, only it talks back less. And, you know, well, it's far more accurate too.

Dr. John Oberg: Right. Like I would say, it's better than talking to you. In a sense. It's much more. It's much more like the percentage of information you get back is higher, but it's not absolute. And to your point, my. My goal is not to tell someone not to do it. My goal is to say, like, it's okay to have higher expectations, but not perfect expectations. Like, you still need to have that, that meter on about, you know, something seems too good to be true, whatever the case may be. Yeah, so. So for me, Randy, I think there's so much great tooling out there in AI this year. So for me, this year it's about how do I identify the highest impact areas that I can bring it into my life, personally and professionally, so that I'm constantly growing. Like, you know, I'm, I'm a. I hope I'm a lifetime learner. And so I want to learn this year how to actually bring it in and execute. And so, like, there's things like, you know, my wife and I have created one cool, like a date night thing that we can actually create exciting date nights, because date night can get a little stale and we want fresh ideas. And so it's a cool way of brainstorming date night for us. And so, you know, we've got other, like, custom GPTs that we use on the regular. So I think for us, it's about using the tooling in places that are either high interest or high impact, personally and professionally. I love your idea of Jarvis. I think offline, I'm going to talk to you about what you've done so far and share with you what I've done and see if I can't move each other forward there. Because having a Jarvis would be amazing. Yeah.

Randy Lorensen: And I've got that. It just needs. I've created Jarvis. I really have. It's just a dumb version of Jarvis. Right. It needs a lot of my feedback along the way, but it still saves me. I bet it saved me 50 or 100 hours last week.

Anthony Marino: I love it.

Randy Lorensen: It saved me more time than you know, I worked, I'm sure.

Dr. John Oberg: But you. You are going to talk about what Jarvis means, because Jarvis in the movie is able to, like, listen in on phone calls, listening to emails, respond back for him. Like, I think we have a lot of the tooling available to do a lot of that. I just haven't set it up for me yet.

Randy Lorensen: Yeah, agreed. And Anthony's thing about privacy, that's a decision everybody has to make. This is. This is. We have Dr. John's warning. This is Randy, the conspiracy theorist's warning, I guess, is, you know, in big government. But, you know, what do you want to give them? And I've kind of come to the.

Dr. John Oberg: Conclusion, what don't they already have? Randy, what don't they already have?

Randy Lorensen: That's my point. They're gonna get. They already have it. So whether I give them extra information, I just don't think it's extra. I think it's. I think it's information they have. It's just getting it through another pipeline. So for me, again, I want the first thing I wrote down, we were talking about this was the Jarvis, that to get better and improve. But for me, a lot of it comes down to sovereignty, making the world a better place and not have it go the dystopian way. Like, to me, that's the really important part, is that we have to win this battle, that it becomes a force for abundance, not a force for a dystopian world, because, you know, we've seen enough movies where that's how it plays out. I just choose to believe that's not the future that we're heading toward.

Unlabeled speaker: So.

Randy Lorensen: And through democratization and everything, getting cheaper. I think that's coming. And as I've said a hundred times, energy is the real bottleneck here. All right, any final thoughts here?

Anthony Marino: I think we're good.

Randy Lorensen: All right, listeners, as always, tell your friends, tell your neighbors, download, subscribe. All of that helps us find more people. We're growing, and I would even say we're growing fairly rapidly. But your help will. Will just send us even faster down that path. So interesting conversation, guys. Have a great day. Listen and subscribe to the podcast wherever you get your podcasts. Click Follow for more content like this or go to talesofabundance.com to join our community and get free tools.