1 00:00:00,000 --> 00:00:02,320 Okay. So are you ready to dive into the future? 2 00:00:02,640 --> 00:00:03,280 Always. 3 00:00:03,720 --> 00:00:08,080 All right. Well, today we're looking at the future of work, specifically how emerging 4 00:00:08,080 --> 00:00:12,120 technologies might change the job market landscape as we know it. 5 00:00:12,720 --> 00:00:15,800 You guys have sent in some pretty interesting reports and projections. 6 00:00:15,800 --> 00:00:16,800 Yeah, this is going to be fun. 7 00:00:16,920 --> 00:00:18,120 We're going to try to break them down for you. 8 00:00:18,480 --> 00:00:21,240 We've got two main sources that we're going to be pulling from today. 9 00:00:21,600 --> 00:00:25,760 The first maps out projected economic growth. 10 00:00:25,760 --> 00:00:29,480 You know, and this is linked to different jobs and different occupations. 11 00:00:29,880 --> 00:00:34,560 The second breaks down emerging tech sectors in terms of projected revenue, 12 00:00:35,320 --> 00:00:36,520 projected job openings. 13 00:00:36,520 --> 00:00:37,640 I mean, really the whole picture. 14 00:00:37,640 --> 00:00:38,480 The whole enchilada. 15 00:00:38,760 --> 00:00:42,600 So the big question that we're going to be focusing on in this deep dive is what 16 00:00:42,840 --> 00:00:47,960 skills and fields should you be paying attention to as these technologies kind of 17 00:00:48,680 --> 00:00:49,320 come into their own? 18 00:00:49,320 --> 00:00:52,560 Yeah. You know, what's really interesting about all this is we're not really talking 19 00:00:52,560 --> 00:00:55,760 about some far off like science fiction future. 20 00:00:56,160 --> 00:00:58,600 We're looking at an economic engine that's already running. 21 00:00:58,600 --> 00:00:59,520 It's already riving up. 22 00:00:59,960 --> 00:01:03,000 And it's about understanding how you can be a part of that. 23 00:01:03,160 --> 00:01:03,840 Yeah. OK. 24 00:01:03,840 --> 00:01:05,600 So let's get into some of the nitty gritty here. 25 00:01:05,600 --> 00:01:06,640 Let's get visual. 26 00:01:06,840 --> 00:01:09,880 One of the reports that you guys sent in shows the projected revenue 27 00:01:09,880 --> 00:01:12,840 from emerging technologies by 2030. 28 00:01:14,240 --> 00:01:16,240 Let me tell you, these numbers are mind blowing. 29 00:01:16,360 --> 00:01:20,800 Cloud computing is at the top of the list and estimated to hit five thousand 30 00:01:20,800 --> 00:01:22,600 four hundred seventy million dollars. 31 00:01:22,600 --> 00:01:23,200 Wow. 32 00:01:23,760 --> 00:01:28,120 Then we have autonomous systems coming in at four thousand three hundred thirty 33 00:01:28,120 --> 00:01:29,360 one million. Yeah. 34 00:01:29,360 --> 00:01:33,840 And then the Internet of Things or IOT clocking in at three thousand three 35 00:01:33,840 --> 00:01:35,080 hundred and fifty three million. 36 00:01:35,280 --> 00:01:37,320 I mean, think about what that kind of growth means. 37 00:01:37,320 --> 00:01:42,160 We're talking about companies needing an army of skilled workers to manage, 38 00:01:42,280 --> 00:01:46,040 to build, to innovate in these sectors that are just exploding. 39 00:01:46,040 --> 00:01:48,880 And I think it's really easy to get caught up in those numbers and kind of 40 00:01:48,880 --> 00:01:50,920 forget that this is actually impacting people. 41 00:01:50,920 --> 00:01:52,640 These aren't just abstract numbers on a page. 42 00:01:52,800 --> 00:01:54,920 These are real opportunities for you listening to this. 43 00:01:54,960 --> 00:01:57,600 Absolutely. To be a part of this change, to be a part of this future. 44 00:01:57,880 --> 00:02:00,840 So speaking of opportunities, let's move to our second image here, 45 00:02:01,400 --> 00:02:04,200 which shows projected job growth by occupation. 46 00:02:04,320 --> 00:02:05,160 All right. Let's see it. 47 00:02:05,160 --> 00:02:06,400 So the top three here. 48 00:02:07,160 --> 00:02:10,680 Cloud computing is king with a projected two hundred and forty four 49 00:02:10,680 --> 00:02:12,320 thousand three hundred openings. 50 00:02:12,480 --> 00:02:17,000 Wow. Cyber security is not far behind at one hundred and fifty three thousand nine 51 00:02:17,000 --> 00:02:21,280 hundred and autonomous robots rounds out the top three with one hundred and 52 00:02:21,280 --> 00:02:23,160 thirty seven thousand four hundred. 53 00:02:23,240 --> 00:02:26,760 Okay. So you can't just look at the number of openings, right? 54 00:02:26,760 --> 00:02:30,040 Because this image also shows us the average annual 55 00:02:30,040 --> 00:02:31,520 salaries for these different occupations. 56 00:02:31,680 --> 00:02:34,680 That adds a whole other, a whole other layer to the story. 57 00:02:34,680 --> 00:02:35,200 Absolutely. 58 00:02:35,200 --> 00:02:39,200 So for instance, cybersecurity, while it has fewer projected openings than 59 00:02:39,200 --> 00:02:43,280 cloud computing actually boasts a slightly higher average annual salary. 60 00:02:43,600 --> 00:02:45,560 Interesting. Okay. So this is where it gets really interesting. 61 00:02:45,560 --> 00:02:47,760 There's a category here called simulations. 62 00:02:48,560 --> 00:02:52,000 It has a relatively low number of projected openings, only thirty nine 63 00:02:52,000 --> 00:02:52,960 thousand four hundred. 64 00:02:53,480 --> 00:02:58,200 But the average salary is a whopping eighty seven thousand nine hundred and 65 00:02:58,200 --> 00:02:59,200 sixty one dollars. 66 00:02:59,800 --> 00:03:00,720 So why is that? 67 00:03:00,880 --> 00:03:04,440 Well, I think it's because these simulations are becoming more and more complex. 68 00:03:04,640 --> 00:03:08,200 Right. I mean, think about the simulations that they're using to design aircraft, 69 00:03:08,720 --> 00:03:12,160 modeling climate change, even developing new drugs. 70 00:03:12,160 --> 00:03:15,200 All of this requires very specialized skills. 71 00:03:15,680 --> 00:03:20,960 And that makes the people who have that expertise extremely valuable. 72 00:03:21,000 --> 00:03:24,560 Okay. So it's not just about, you know, finding the job title with the most 73 00:03:24,560 --> 00:03:28,640 openings. It's also about kind of understanding these niches where your 74 00:03:28,640 --> 00:03:32,240 skills and your passions could really allow you to stand out. 75 00:03:32,280 --> 00:03:33,360 Yeah. You got it. 76 00:03:33,800 --> 00:03:37,920 When we look at these two images side by side, it's really like seeing the gears 77 00:03:37,920 --> 00:03:39,800 of the economic engine turning. 78 00:03:40,000 --> 00:03:40,360 Right. 79 00:03:40,360 --> 00:03:43,600 You know, the revenue projections are driving that demand for talent. 80 00:03:43,600 --> 00:03:47,720 So understanding those projections can really help you make strategic decisions 81 00:03:48,160 --> 00:03:50,240 about your career path and your future. 82 00:03:50,240 --> 00:03:52,280 Yeah. It's like having a sneak peek into the future. 83 00:03:52,480 --> 00:03:56,280 But we have to remember that these are projections, not guarantees. 84 00:03:56,440 --> 00:03:58,440 I mean, the tech world is notorious. 85 00:03:58,440 --> 00:03:59,520 It's constantly changing. 86 00:03:59,520 --> 00:04:00,640 Or it's twists and turns. 87 00:04:00,840 --> 00:04:03,680 I mean, remember when we all thought we were going to be flying around and flying cars? 88 00:04:03,680 --> 00:04:04,600 Oh, yeah. Right. 89 00:04:04,600 --> 00:04:05,800 I'm still waiting on that one. 90 00:04:05,840 --> 00:04:08,840 Right. But the big picture, I think is pretty clear. 91 00:04:08,840 --> 00:04:12,200 Emerging technologies are going to reshape the world of work. 92 00:04:13,040 --> 00:04:18,160 And those trends point to some key skills and knowledge areas that are going to be 93 00:04:18,160 --> 00:04:20,880 in high demand no matter what specific jobs emerge. 94 00:04:20,880 --> 00:04:22,640 Yeah. I mean, think about cybersecurity. 95 00:04:22,640 --> 00:04:26,400 That's only going to become more and more important as our lives become increasingly 96 00:04:26,400 --> 00:04:28,840 digital and data analysis. 97 00:04:29,080 --> 00:04:33,840 It's essential to making sense of all the information that we generate every single 98 00:04:33,840 --> 00:04:38,240 day. AI and machine learning are automating tasks, transforming entire 99 00:04:38,240 --> 00:04:40,680 industries and cloud computing. 100 00:04:40,680 --> 00:04:44,360 I mean, that's the infrastructure that underlies so much of modern technology. 101 00:04:44,360 --> 00:04:49,480 So it sounds like the key takeaway here is not just about picking the right job title. 102 00:04:49,480 --> 00:04:54,280 It's about recognizing those underlying skills and trends that are going to have staying power. 103 00:04:54,280 --> 00:04:55,000 Exactly. 104 00:04:55,000 --> 00:04:58,040 You know, as you're thinking about your own career journey, here's a question for you 105 00:04:58,040 --> 00:04:58,640 to think about. 106 00:04:58,880 --> 00:05:04,000 What skills do you already have that could be adapted or even supercharged by these emerging 107 00:05:04,000 --> 00:05:04,560 technologies? 108 00:05:04,560 --> 00:05:09,640 And you might be surprised at how you can carve out your own unique space in this evolving 109 00:05:09,640 --> 00:05:10,320 landscape. 110 00:05:10,480 --> 00:05:12,960 That's a fantastic question to leave our listener with. 111 00:05:13,480 --> 00:05:16,720 And remember, the future is not something that just happens to you. 112 00:05:17,160 --> 00:05:22,000 Your choices and actions today can shape the opportunities that you'll have tomorrow. 113 00:05:22,520 --> 00:05:25,200 Thanks for joining us on this deep dive into the future of work. 114 00:05:25,520 --> 00:05:26,480 We'll see you next time. 115 00:05:26,480 --> 00:05:36,480 See ya.