WEBVTT 00:00:00.000 --> 00:00:02.359 Okay, picture this for a second. You're on the 00:00:02.359 --> 00:00:05.019 highway, and in the lane next to you, there's 00:00:05.019 --> 00:00:09.039 this old, beat -up 2005 Toyota Tacoma. Right. 00:00:09.500 --> 00:00:12.119 Seen better days. Exactly. Yeah. But there's 00:00:12.119 --> 00:00:14.679 no person driving it. There's a humanoid robot 00:00:14.679 --> 00:00:18.199 in the driver's seat, hands at 10 and 2, physically 00:00:18.199 --> 00:00:20.140 pressing the pedals. And the owner's in the back, 00:00:20.179 --> 00:00:22.719 just taking a nap. Yes. And the owner is just 00:00:22.719 --> 00:00:24.620 napping in the backseat. It sounds like total 00:00:24.620 --> 00:00:28.059 science fiction. But as of today, February 4th, 00:00:28.059 --> 00:00:31.620 2026, that's not fiction anymore. That's actually 00:00:31.620 --> 00:00:33.880 the plan for this year. Welcome back to the Deep 00:00:33.880 --> 00:00:37.179 Dive. Today, I think we need to slow down a little. 00:00:37.259 --> 00:00:40.359 We're standing here in early 2026 and things 00:00:40.359 --> 00:00:42.780 are moving so fast. They really are. We're working 00:00:42.780 --> 00:00:45.740 from a report by Max Ahn, nine biggest AI trends 00:00:45.740 --> 00:00:49.500 for 2026. And honestly, the scope is, it's heavy. 00:00:49.880 --> 00:00:51.880 It feels like a real turning point. It is. And 00:00:51.880 --> 00:00:53.679 just to set the stakes before we even get into 00:00:53.679 --> 00:00:56.560 the details, but projection is that global AI 00:00:56.560 --> 00:00:59.979 spending will hit $2 trillion by the end of this 00:00:59.979 --> 00:01:03.000 year. $2 trillion. $2 trillion. That's the financial 00:01:03.000 --> 00:01:05.400 ground we're standing on. It's a number so big 00:01:05.400 --> 00:01:07.340 it almost loses its meaning. It's just an abstraction. 00:01:07.579 --> 00:01:10.560 So our mission today is to make that concrete. 00:01:10.819 --> 00:01:13.319 Yeah. What does that money actually buy? Right. 00:01:13.900 --> 00:01:15.680 We're going to walk through how this tech is 00:01:15.680 --> 00:01:18.640 moving from our screens into our actual physical 00:01:18.640 --> 00:01:21.439 world and how it's changing what it even means 00:01:21.439 --> 00:01:24.040 to work. It's a journey from software to hardware, 00:01:24.159 --> 00:01:27.099 from the screen to the street. So let's start 00:01:27.099 --> 00:01:29.939 with the money then. Trend number one, the report 00:01:29.939 --> 00:01:34.040 calls it AI buying from AI. For the last hundred 00:01:34.040 --> 00:01:37.920 years, commerce has been a very human thing. 00:01:38.000 --> 00:01:40.700 I see an ad, I feel something, I buy something. 00:01:41.739 --> 00:01:43.540 But that's changing, isn't it? It's shifting 00:01:43.540 --> 00:01:47.120 incredibly fast. The data suggests that by 2028, 00:01:47.280 --> 00:01:49.900 just two years from now, AI agents will handle 00:01:49.900 --> 00:01:52.480 90 percent of business purchases. 90 percent. 00:01:52.599 --> 00:01:55.920 We are talking about 15 trillion dollars in spending 00:01:55.920 --> 00:01:58.560 that never even touches a human hand. Beat 15 00:01:58.560 --> 00:02:03.140 trillion. So. Help me picture this. This isn't 00:02:03.140 --> 00:02:04.920 just me asking my smart speaker to order more 00:02:04.920 --> 00:02:06.900 paper towels. No, no, it's much deeper. Think 00:02:06.900 --> 00:02:09.039 about the smart fridge scenario from the report. 00:02:09.340 --> 00:02:11.840 Your fridge notices you're low on tomatoes and 00:02:11.840 --> 00:02:13.949 chicken. It doesn't just send you a notification. 00:02:14.250 --> 00:02:17.270 While you're asleep, it checks prices at local 00:02:17.270 --> 00:02:20.310 stores, compares availability, places the order, 00:02:20.490 --> 00:02:23.090 and schedules the delivery. So it's machines 00:02:23.090 --> 00:02:26.969 selling to other machines. Exactly. One AI writes 00:02:26.969 --> 00:02:29.909 the invoice, another AI reads it, checks it against 00:02:29.909 --> 00:02:32.770 a budget, and then pays it. All that human friction 00:02:32.770 --> 00:02:36.590 is just gone. Okay, but hang on. If my fridge 00:02:36.590 --> 00:02:39.270 is doing the buying, what happens to advertising? 00:02:40.119 --> 00:02:42.080 That's the fascinating question. I mean, you 00:02:42.080 --> 00:02:44.659 can't run a Super Bowl ad to convince my refrigerator 00:02:44.659 --> 00:02:47.300 to buy Coke instead of Pepsi. You can't. Marketing 00:02:47.300 --> 00:02:49.919 completely shifts. It moves away from emotional 00:02:49.919 --> 00:02:52.460 persuasion, you know, buy this and feel cool, 00:02:52.599 --> 00:02:55.699 to pure data optimization. If you're a brand 00:02:55.699 --> 00:02:58.099 and your data isn't easily readable by an AI 00:02:58.099 --> 00:03:00.379 agent, you basically don't exist. You're invisible. 00:03:00.699 --> 00:03:03.199 It feels, I don't know, efficient but sterile. 00:03:03.280 --> 00:03:06.340 So if the AI does the shopping. What is the human 00:03:06.340 --> 00:03:09.199 actually doing? We stop ordering. We start configuring 00:03:09.199 --> 00:03:11.479 the settings and monitoring the savings. So we 00:03:11.479 --> 00:03:13.439 become the manager. We're managing the shopper. 00:03:13.479 --> 00:03:16.060 You're orchestrating the outcome. Orchestrate. 00:03:16.259 --> 00:03:17.819 I feel like we're going to come back to that 00:03:17.819 --> 00:03:20.620 word a lot today. And this doesn't stop at groceries. 00:03:20.860 --> 00:03:23.000 The report says this intelligence is bleeding 00:03:23.000 --> 00:03:25.680 into our homes. Right. Trend number two. The 00:03:25.680 --> 00:03:27.979 smart home idea isn't new, but apparently the 00:03:27.979 --> 00:03:30.240 way it works is fundamentally changing. Yeah. 00:03:30.259 --> 00:03:32.699 The keyword isn't smart anymore. It's connected. 00:03:33.469 --> 00:03:35.629 For a long time, a smart home just meant you 00:03:35.629 --> 00:03:37.610 could turn on a light with your phone. Which 00:03:37.610 --> 00:03:40.409 is really just a fancy remote control. Exactly. 00:03:40.409 --> 00:03:43.569 Not intelligence. The market, which is hitting 00:03:43.569 --> 00:03:46.830 almost $200 billion this year, is moving towards 00:03:46.830 --> 00:03:49.469 systems where all the devices talk to each other. 00:03:49.689 --> 00:03:51.650 There was that one example in the notes about 00:03:51.650 --> 00:03:54.830 a smart scale and a fridge that, I'll be honest, 00:03:55.030 --> 00:03:58.210 I kind of hated. The accountability loop. Yes. 00:03:58.449 --> 00:04:02.069 Walk us through that. So the idea is this. Your 00:04:02.069 --> 00:04:04.669 smart scale talks to your smart fridge. You tell 00:04:04.669 --> 00:04:07.250 a scale, my goal is to lose 10 pounds. Later 00:04:07.250 --> 00:04:09.789 that night, you try to order ice cream through 00:04:09.789 --> 00:04:11.949 the fridge's interface, and the fridge basically 00:04:11.949 --> 00:04:16.769 refuses. Or it suggests a healthier option because 00:04:16.769 --> 00:04:18.930 it knows your goal. See, that's where I have 00:04:18.930 --> 00:04:20.629 a problem with it. That feels like a loss of 00:04:20.629 --> 00:04:22.790 my own agency. If I've had a bad day and I want 00:04:22.790 --> 00:04:25.230 some ice cream, I don't want my appliances to 00:04:25.230 --> 00:04:27.500 stage an intervention. It is a trade -off, for 00:04:27.500 --> 00:04:29.360 sure. You're trading some of that autonomy for 00:04:29.360 --> 00:04:32.420 discipline. But from a purely technical view, 00:04:32.759 --> 00:04:35.000 it shows that these devices are no longer isolated. 00:04:35.139 --> 00:04:38.300 They're sharing data. So what is the fundamental 00:04:38.300 --> 00:04:40.980 shift in how these devices operate? They stop 00:04:40.980 --> 00:04:43.180 being isolated gadgets and start functioning 00:04:43.180 --> 00:04:45.980 as a unified, aware system. A unified system 00:04:45.980 --> 00:04:49.139 that might bully you into eating a salad. Okay, 00:04:49.459 --> 00:04:52.600 let's move to work. Everyone gets an AI assistant. 00:04:53.160 --> 00:04:56.980 The report calls it a personal Jarvis. But we've 00:04:56.980 --> 00:04:59.959 heard this promise for years, right? Siri, Alexa, 00:05:00.300 --> 00:05:02.680 they were all supposed to be assistants and they've 00:05:02.680 --> 00:05:04.639 all been, you know, pretty underwhelming. Why 00:05:04.639 --> 00:05:07.699 is 2026 different? It's all about context and 00:05:07.699 --> 00:05:09.800 integration. This is finally addressing what 00:05:09.800 --> 00:05:12.420 they call admin overload. Right. The stats say 00:05:12.420 --> 00:05:14.540 we spend something like 60 % of our work time 00:05:14.540 --> 00:05:17.860 on admin, email, scheduling, updating project 00:05:17.860 --> 00:05:21.480 management tools. And the trend for 2026 is that 00:05:21.480 --> 00:05:23.959 we just stop doing that because the AI agents 00:05:23.959 --> 00:05:25.980 can finally connect all those apps together and 00:05:25.980 --> 00:05:28.600 do it for us. So this isn't just me typing a 00:05:28.600 --> 00:05:31.699 prompt into a chat bot. No, this is an agent 00:05:31.699 --> 00:05:33.720 that knows your voice. It knows your priorities. 00:05:33.959 --> 00:05:36.800 The example they use is a morning routine. You 00:05:36.800 --> 00:05:39.699 wake up. Your AI has already seen two of your 00:05:39.699 --> 00:05:42.379 meetings conflict, so it rescheduled one. It's 00:05:42.379 --> 00:05:44.839 drafted 15 emails, and it's already sent the 00:05:44.839 --> 00:05:47.360 eight easy ones. And updated your Trello board. 00:05:47.560 --> 00:05:49.860 And updated your Trello and Asana boards, all 00:05:49.860 --> 00:05:51.980 before you've had your first cup of coffee. It 00:05:51.980 --> 00:05:56.899 uses tools like N8n or Zapier as the... The plumbing. 00:05:57.019 --> 00:05:58.759 Right, the digital plumbing. It connects the 00:05:58.759 --> 00:06:01.279 email pipe to the calendar pipe. It feels like 00:06:01.279 --> 00:06:03.420 magic, but it's just logic. Exactly. The busy 00:06:03.420 --> 00:06:06.339 work just evaporates. So if the AI handles all 00:06:06.339 --> 00:06:09.399 the admin, the scheduling, the follow -ups, how 00:06:09.399 --> 00:06:11.720 does the definition of work actually change for 00:06:11.720 --> 00:06:14.819 us? We shift from managing tasks to managing 00:06:14.819 --> 00:06:17.439 outcomes and strategic thinking. Managing outcomes. 00:06:17.720 --> 00:06:19.600 Okay. Let's look at the business side of this. 00:06:19.759 --> 00:06:23.410 Trend four is no more waiting on hold. This is 00:06:23.410 --> 00:06:26.149 really the end of business hours. The data from 00:06:26.149 --> 00:06:29.810 IBM and Zendesk is pretty clear on this. AI can 00:06:29.810 --> 00:06:33.250 now handle about 80 % of routine customer questions. 00:06:33.730 --> 00:06:35.870 The example from the report was a gym, right? 00:06:36.009 --> 00:06:38.829 Right. Say you want to book a class, but it's 00:06:38.829 --> 00:06:41.310 6 a .m. or maybe 10 p .m. at night. The office 00:06:41.310 --> 00:06:43.870 is closed. Historically, that's just a lost customer. 00:06:43.949 --> 00:06:47.370 A lost lead. You move on. But now an AI answers, 00:06:47.509 --> 00:06:49.430 handles your questions, and books you into the 00:06:49.430 --> 00:06:52.860 class instantly. No bad hold music. Beyond just 00:06:52.860 --> 00:06:54.720 the convenience for the customer, what does this 00:06:54.720 --> 00:06:57.459 actually mean for a business owner? Leads don't 00:06:57.459 --> 00:06:59.899 vanish just because the office is closed. Zero 00:06:59.899 --> 00:07:02.259 missed opportunities. Zero missed opportunities. 00:07:02.259 --> 00:07:04.660 That's a huge shift. But let's take this further. 00:07:04.860 --> 00:07:07.420 Trend number five moves from AI answering the 00:07:07.420 --> 00:07:10.220 phone to, well, to running the whole department. 00:07:10.589 --> 00:07:12.250 This is where the corporate structure itself 00:07:12.250 --> 00:07:14.990 starts to change. The old way to grow was to 00:07:14.990 --> 00:07:17.250 just hire more people. The new way is to deploy 00:07:17.250 --> 00:07:20.009 more agents. They mentioned a tool. Hello, Frank 00:07:20.009 --> 00:07:23.089 AI. Acting is basically an entire finance department. 00:07:23.430 --> 00:07:26.170 Yes. So instead of a team of people processing 00:07:26.170 --> 00:07:28.250 invoices, you just have a software layer that 00:07:28.250 --> 00:07:30.810 does it automatically. The estimate is that 30 00:07:30.810 --> 00:07:33.769 % of all U .S. work hours could be automated 00:07:33.769 --> 00:07:36.680 by 2030. I have to push back on this a little 00:07:36.680 --> 00:07:39.060 bit. That sounds great for the company's bottom 00:07:39.060 --> 00:07:41.740 line. But if I'm a junior accountant just starting 00:07:41.740 --> 00:07:44.939 out, where do I start? If all the entry -level 00:07:44.939 --> 00:07:47.360 work is gone, how do you even learn the ropes? 00:07:47.600 --> 00:07:49.259 That is the big question. It's like the ladder 00:07:49.259 --> 00:07:51.399 is missing its bottom rungs. You see job titles 00:07:51.399 --> 00:07:54.120 changing now, director of AI. Your job becomes 00:07:54.120 --> 00:07:56.480 orchestrating the system, not managing people's 00:07:56.480 --> 00:07:59.839 time. So if the AI runs the department, where 00:07:59.839 --> 00:08:02.439 does the human value actually lie? Judgment, 00:08:02.560 --> 00:08:05.240 relationships and handling the 10 to 20 percent 00:08:05.240 --> 00:08:07.839 of cases that require nuance. The nuance, the 00:08:07.839 --> 00:08:09.680 human age. It just feels like that's becoming 00:08:09.680 --> 00:08:12.360 a smaller and smaller piece of the pie. OK, we're 00:08:12.360 --> 00:08:14.220 back. We've been in the digital world agents, 00:08:14.439 --> 00:08:17.339 software, customer service. But the report makes 00:08:17.339 --> 00:08:20.000 a really big turn here into the physical world. 00:08:20.180 --> 00:08:23.980 Trend number six is household AI robots. The 00:08:23.980 --> 00:08:26.439 Butler. Yeah, this is the leap from that little 00:08:26.439 --> 00:08:28.500 robot vacuum that gets stuck under your sofa 00:08:28.500 --> 00:08:31.180 to a bipedal robot that can actually fold your 00:08:31.180 --> 00:08:33.799 laundry. We're talking about Tesla's Optimus 00:08:33.799 --> 00:08:38.139 Figure 3 Neo from OpenAI. And the market is projected 00:08:38.139 --> 00:08:41.799 to hit $17 billion just this year. That seems... 00:08:42.420 --> 00:08:44.960 Really fast for hardware. It is aggressive, but 00:08:44.960 --> 00:08:47.340 the capabilities are closing that gap very quickly. 00:08:47.639 --> 00:08:50.100 These robots, they learn by watching a human 00:08:50.100 --> 00:08:52.600 do a task. They can pick up clutter. They can 00:08:52.600 --> 00:08:55.240 load a dishwasher. It's adaptive behavior. It's 00:08:55.240 --> 00:08:56.899 pretty amazing to think about. I mean, you go 00:08:56.899 --> 00:08:58.580 over to a friend's house for dinner this year 00:08:58.580 --> 00:09:01.019 and you just see a robot in the corner quietly 00:09:01.019 --> 00:09:03.460 folding shirts. It feels, I don't know. Almost 00:09:03.460 --> 00:09:05.899 normal, but also deeply strange. It really does. 00:09:05.980 --> 00:09:08.120 It brings up a real sense of wonder. We've seen 00:09:08.120 --> 00:09:10.539 this in cartoons like the Jetsons for our entire 00:09:10.539 --> 00:09:12.919 lives. And now here it is walking around the 00:09:12.919 --> 00:09:15.500 living room, seeing a machine do something so 00:09:15.500 --> 00:09:19.139 human. It's surreal. It's a luxury for sure. 00:09:19.259 --> 00:09:21.559 But these things are expensive. Yeah. So what 00:09:21.559 --> 00:09:23.419 is the real currency being traded here when we 00:09:23.419 --> 00:09:25.700 buy one of these robots? We are buying back time 00:09:25.700 --> 00:09:28.919 time for health, family and creativity. Time. 00:09:29.120 --> 00:09:32.259 The one thing you can't make more of. And that 00:09:32.259 --> 00:09:34.159 leads perfectly into trend number seven, the 00:09:34.159 --> 00:09:36.399 one we opened with, the robot in the Toyota. 00:09:36.700 --> 00:09:39.940 AI robots will drive your car. This is such a 00:09:39.940 --> 00:09:42.620 clever solution to a huge problem. Right. We 00:09:42.620 --> 00:09:44.720 all thought we'd be buying new futuristic self 00:09:44.720 --> 00:09:47.679 -driving cars. But retrofitting the entire world's 00:09:47.679 --> 00:09:50.700 fleet of cars is just, it's impossible. It would 00:09:50.700 --> 00:09:53.629 take decades. So you don't upgrade the car. You 00:09:53.629 --> 00:09:56.750 upgrade the driver. Exactly. Tesla is planning 00:09:56.750 --> 00:10:00.929 to build 50 ,000 Optimus robots in 2026. They 00:10:00.929 --> 00:10:03.070 use the same FSD chips that are in the cars. 00:10:03.370 --> 00:10:05.590 You just put the robot in the driver's seat of 00:10:05.590 --> 00:10:07.710 your old Tacoma. It has cameras for eyes and 00:10:07.710 --> 00:10:10.190 hands for the wheel. It just drives. It's such 00:10:10.190 --> 00:10:12.269 a low -tech solution to a high -tech problem. 00:10:12.409 --> 00:10:14.669 It's almost funny. But it bridges the gap. You 00:10:14.669 --> 00:10:17.210 don't need a new $60 ,000 car to get full autonomy. 00:10:17.490 --> 00:10:20.149 You just need the agent. The visual is wild, 00:10:20.230 --> 00:10:22.330 but what problem does this solve for the average 00:10:22.330 --> 00:10:25.220 person? It reclaims the one to two hours of lost 00:10:25.220 --> 00:10:27.840 productivity spent driving every day. One to 00:10:27.840 --> 00:10:30.159 two hours a day? That's life -changing for someone 00:10:30.159 --> 00:10:33.500 with a long commute. Okay, moving on. Cred number 00:10:33.500 --> 00:10:36.440 eight, AI -powered delivery. This is all about 00:10:36.440 --> 00:10:39.320 solving the last mile problem. Getting a package 00:10:39.320 --> 00:10:42.000 from the local warehouse to your front door is 00:10:42.000 --> 00:10:44.379 the single most expensive part of shipping. And 00:10:44.379 --> 00:10:46.759 now we're seeing drones and those little sidewalk 00:10:46.759 --> 00:10:49.940 robots everywhere. They are, yeah. Amazon's goal 00:10:49.940 --> 00:10:52.960 is to deliver 500 million packages a year by 00:10:52.960 --> 00:10:56.480 drone by 2030. That ramp up is starting right 00:10:56.480 --> 00:10:58.799 now. So instead of a delivery window from 9 to 00:10:58.799 --> 00:11:02.120 5, it's just on demand. It's almost instant. 00:11:02.460 --> 00:11:04.740 And because you're not paying a person for that 00:11:04.740 --> 00:11:08.220 last mile, the cost goes way, way down. So how 00:11:08.220 --> 00:11:09.899 does this change the consumer's relationship 00:11:09.899 --> 00:11:13.000 with buying things? Speed and cost are no longer 00:11:13.000 --> 00:11:15.720 tradeoffs. Delivery becomes instant and cheap. 00:11:15.919 --> 00:11:18.309 Instant and cheap. Okay, finally, that brings 00:11:18.309 --> 00:11:20.669 us to trend number nine. And this one kind of 00:11:20.669 --> 00:11:23.429 wraps everything together. Knowing AI is the 00:11:23.429 --> 00:11:26.409 biggest career advantage. This is the so what 00:11:26.409 --> 00:11:28.730 of all of this for everyone listening. The gap 00:11:28.730 --> 00:11:31.529 between people who use AI and people who ignore 00:11:31.529 --> 00:11:34.490 it is getting wider fast. The report says having 00:11:34.490 --> 00:11:37.529 AI skills can boost your salary by up to 56%. 00:11:37.529 --> 00:11:40.070 That's huge. But I want to admit something here 00:11:40.070 --> 00:11:42.210 for a second. Yeah, go for it. I do this show. 00:11:42.330 --> 00:11:44.370 I'm immersed in this stuff. And I still feel 00:11:44.370 --> 00:11:47.960 intimidated sometimes. I look at a tool like 00:11:47.960 --> 00:11:51.360 N810 and it just looks like a mess of code to 00:11:51.360 --> 00:11:53.639 me. Yeah. I think a lot of people feel that knowing 00:11:53.639 --> 00:11:57.460 AI is only for developers. And that's the biggest 00:11:57.460 --> 00:11:59.559 misconception. That's the vulnerability that 00:11:59.559 --> 00:12:03.100 I think we all have to push past. The strategy 00:12:03.100 --> 00:12:06.240 the report suggests is simple. Use AI to learn 00:12:06.240 --> 00:12:09.720 AI. So you ask ChatGPT to teach you how to use 00:12:09.720 --> 00:12:12.740 ChatGPT. Exactly. Ask it to teach you step by 00:12:12.740 --> 00:12:15.500 step how to build a simple automation. Don't 00:12:15.500 --> 00:12:17.960 wait to take a course. Just ask the tool to teach 00:12:17.960 --> 00:12:20.019 you how to use the tool. Because if you don't, 00:12:20.019 --> 00:12:22.340 the alternative isn't great. What is the harsh 00:12:22.340 --> 00:12:25.000 reality for those who choose to ignore this shift? 00:12:25.259 --> 00:12:27.080 They don't just fall behind. They get replaced. 00:12:27.340 --> 00:12:30.340 The gap becomes permanent. Wow. The gap becomes 00:12:30.340 --> 00:12:32.460 permanent. That is a sobering thought. It is, 00:12:32.539 --> 00:12:34.919 but it's also an invitation. Okay, so let's zoom 00:12:34.919 --> 00:12:38.679 out. We've talked about nine huge trends. Smart 00:12:38.679 --> 00:12:41.600 fridges, robot butlers, robot chauffeurs. What's 00:12:41.600 --> 00:12:44.419 the one big idea that connects all of this? I 00:12:44.419 --> 00:12:46.559 think the big idea is a fundamental shift in 00:12:46.559 --> 00:12:50.340 agency. We are moving from a world where we operate 00:12:50.340 --> 00:12:54.220 tools, you know, a hammer, a keyboard, a steering 00:12:54.220 --> 00:12:57.399 wheel, to a world where we orchestrate agents. 00:12:57.879 --> 00:13:00.000 Orchestration. There's that word again. Yeah. 00:13:00.120 --> 00:13:02.039 I mean, think about the progression. It starts 00:13:02.039 --> 00:13:04.419 with the smart fridge ordering groceries, then 00:13:04.419 --> 00:13:06.299 it's your office assistant handling your emails, 00:13:06.519 --> 00:13:09.080 then a robot is folding your laundry, and it 00:13:09.080 --> 00:13:11.860 ends with a robot driving your car. The common 00:13:11.860 --> 00:13:14.820 thread is autonomy. The tools are doing the work 00:13:14.820 --> 00:13:18.220 for us, not just with us. And 2026 is the year 00:13:18.220 --> 00:13:21.279 that distinction becomes crystal clear. You have 00:13:21.279 --> 00:13:23.320 to decide this year if you're going to be an 00:13:23.320 --> 00:13:25.360 orchestrator of these new agents or if you're 00:13:25.360 --> 00:13:27.740 going to keep doing the manual work that is very, 00:13:27.799 --> 00:13:30.139 very quickly being automated away. That is the 00:13:30.139 --> 00:13:32.919 fork in the road. The report ends with a pretty 00:13:32.919 --> 00:13:35.679 blunt call to action. It says the next 18 months 00:13:35.679 --> 00:13:38.559 are critical. And then it says beliefs that hurt 00:13:38.559 --> 00:13:40.759 your future aren't worth keeping. I love that 00:13:40.759 --> 00:13:42.759 line. So. For everyone listening, here's the 00:13:42.759 --> 00:13:45.620 task. Commit to learning one new AI skill this 00:13:45.620 --> 00:13:49.100 week. Not next month. This week. Start with a 00:13:49.100 --> 00:13:52.419 better prompt. Move to a simple automation. Just 00:13:52.419 --> 00:13:55.240 begin. The tools are there. You just have to 00:13:55.240 --> 00:13:56.440 pick them up. See you in the future.