1 00:00:01,120 --> 00:00:06,000 Speaker 1: Seven o two for weekend Breakfast and parenting with Nicky Bush. 2 00:00:06,120 --> 00:00:08,720 Speaker 2: It's thirteen minutes after eight o'clock. Welcome back to seven 3 00:00:08,720 --> 00:00:10,879 Speaker 2: o two weekend breakfast. Time for us to talk parenting 4 00:00:11,440 --> 00:00:14,560 Speaker 2: and one of the big topics there's always something coming 5 00:00:14,600 --> 00:00:19,960 Speaker 2: out of this particular space is artificial intelligence. Last week 6 00:00:20,200 --> 00:00:23,720 Speaker 2: we heard from China Ali Baba has developed an AI 7 00:00:23,800 --> 00:00:27,240 Speaker 2: model that's going to be put into robotics, which means 8 00:00:27,240 --> 00:00:30,480 Speaker 2: we're now going to have physical AI. We've seen companies 9 00:00:30,520 --> 00:00:37,040 Speaker 2: like Microsoft, like Meta make huge investments in generative AI, 10 00:00:37,479 --> 00:00:41,000 Speaker 2: and it is expected that artificial intelligence will touch all 11 00:00:41,040 --> 00:00:44,959 Speaker 2: countries and all industries, which if you're a parent with 12 00:00:45,040 --> 00:00:48,080 Speaker 2: a young person in school, you're probably thinking, so, what 13 00:00:48,200 --> 00:00:50,800 Speaker 2: does the future of work look like for my kids? 14 00:00:51,080 --> 00:00:53,400 Speaker 2: How do my kids stay ahead? Because the space is 15 00:00:53,440 --> 00:00:56,440 Speaker 2: also moving so quickly, So that's what we're looking at 16 00:00:56,440 --> 00:00:59,560 Speaker 2: this morning. What could your child be studying in this 17 00:00:59,680 --> 00:01:03,400 Speaker 2: fast changing AI world, especially as we are still yet 18 00:01:03,440 --> 00:01:07,560 Speaker 2: to see the big disruptions of artificial intelligence. Perhaps you've 19 00:01:07,600 --> 00:01:09,319 Speaker 2: been thinking about this as well. We'd love to hear 20 00:01:09,360 --> 00:01:11,840 Speaker 2: your thoughts on double one, eight three or seven oh two. 21 00:01:12,000 --> 00:01:14,080 Speaker 2: Send us an SMS on three one seven oh two, 22 00:01:14,560 --> 00:01:16,440 Speaker 2: and you are Tapps on No. Seven two, seven oh 23 00:01:16,440 --> 00:01:18,959 Speaker 2: two one seven oh two. Joining us in studio is 24 00:01:18,959 --> 00:01:22,479 Speaker 2: our residence, Human Potential and printing expert Nikki Bosh Nikki. 25 00:01:22,520 --> 00:01:25,320 Speaker 3: Good morning, Good morning googs, and to all our listeners, 26 00:01:25,400 --> 00:01:27,880 Speaker 3: and how are we this morning? We are so well 27 00:01:27,959 --> 00:01:31,279 Speaker 3: and very excited because after the sum off to speak 28 00:01:31,280 --> 00:01:34,040 Speaker 3: at a school and on the very topic we're discussing 29 00:01:34,080 --> 00:01:36,760 Speaker 3: this morning, right, which is really what does the future 30 00:01:36,760 --> 00:01:39,000 Speaker 3: look like and how do we equip our children for 31 00:01:39,080 --> 00:01:44,440 Speaker 3: that future that is incredibly fast changing. And you already 32 00:01:44,520 --> 00:01:48,440 Speaker 3: mentioned that around the world AI is a disruptor, and 33 00:01:48,520 --> 00:01:52,000 Speaker 3: in fact, this past week we started to see that 34 00:01:52,280 --> 00:01:57,880 Speaker 3: agentic AI is threatening people in tech jobs. So about 35 00:01:57,920 --> 00:02:00,480 Speaker 3: sort of ten fifteen years ago, we were saying your 36 00:02:00,560 --> 00:02:04,040 Speaker 3: children should study programming and coding because that's going to 37 00:02:04,040 --> 00:02:06,760 Speaker 3: get them a job in the future. And that thought 38 00:02:06,840 --> 00:02:11,400 Speaker 3: is almost defunct today because now machines are doing the 39 00:02:11,440 --> 00:02:14,760 Speaker 3: coding and the programming. So people who are employed in 40 00:02:14,800 --> 00:02:19,040 Speaker 3: the tech industry are starting to be replaced by AI. 41 00:02:19,440 --> 00:02:21,920 Speaker 2: And it's interesting that that's happening because I was reading 42 00:02:22,919 --> 00:02:27,480 Speaker 2: the World Economic Forum. I'm glad you also haven't twisted 43 00:02:27,600 --> 00:02:31,800 Speaker 2: moment in the morning and the Jobs of the Future report. 44 00:02:31,840 --> 00:02:34,680 Speaker 2: They were saying that broadening digital access is expected to 45 00:02:34,680 --> 00:02:39,040 Speaker 2: be the most transformative both across technology related trends and 46 00:02:39,160 --> 00:02:43,639 Speaker 2: overall sixty percent of employers expecting it to transform their business, 47 00:02:43,960 --> 00:02:50,200 Speaker 2: particularly AI and process in eighty six percent is what's expected, 48 00:02:50,800 --> 00:02:53,000 Speaker 2: that's what it's going to account for. And so we 49 00:02:53,040 --> 00:02:56,440 Speaker 2: haven't even begun to see what it would look like. 50 00:02:56,480 --> 00:03:00,160 Speaker 2: So parents are trying to forecast, kind of plan and 51 00:03:00,240 --> 00:03:03,160 Speaker 2: capacitate their kids for a thing we're not even sure 52 00:03:03,480 --> 00:03:03,799 Speaker 2: what it. 53 00:03:03,720 --> 00:03:04,799 Speaker 1: Will look like exactly. 54 00:03:05,000 --> 00:03:06,640 Speaker 3: But you know this has always been the case, So 55 00:03:06,720 --> 00:03:09,800 Speaker 3: let calm parents down for a moment. We actually have 56 00:03:09,960 --> 00:03:14,320 Speaker 3: never really been able to predict the future accurately, and 57 00:03:14,400 --> 00:03:15,320 Speaker 3: we can't say for. 58 00:03:15,360 --> 00:03:17,360 Speaker 1: Sure what the jobs will look like. 59 00:03:17,960 --> 00:03:20,720 Speaker 3: But we need to give our children the best possible 60 00:03:20,960 --> 00:03:26,040 Speaker 3: chance of becoming successful and happy in a world that 61 00:03:26,120 --> 00:03:30,600 Speaker 3: we can't imagine by giving them the right foundations. So 62 00:03:31,320 --> 00:03:34,240 Speaker 3: at the get go, we can honestly say, there isn't 63 00:03:34,600 --> 00:03:39,160 Speaker 3: one specific degree or qualification you can go and get 64 00:03:39,200 --> 00:03:41,800 Speaker 3: that is going to prepare yourself or your child for 65 00:03:41,840 --> 00:03:46,120 Speaker 3: the future, because things are changing so rapidly. In fact, 66 00:03:47,080 --> 00:03:50,240 Speaker 3: one qualification is not going to prepare you for life. 67 00:03:50,880 --> 00:03:53,800 Speaker 3: So we need to be on a continuous learning journey. 68 00:03:53,800 --> 00:03:56,960 Speaker 3: And when I say we, I'm actually using the Royal 69 00:03:57,040 --> 00:04:00,720 Speaker 3: WI because this applies to both the adults listening right 70 00:04:00,760 --> 00:04:05,160 Speaker 3: now as well as to their children. We need to 71 00:04:05,280 --> 00:04:09,640 Speaker 3: own this learning journey. We need to constantly be enhancing 72 00:04:09,760 --> 00:04:13,160 Speaker 3: what we can do with micro certifications. And if you 73 00:04:13,240 --> 00:04:17,080 Speaker 3: are employed right now, and if you are being offered 74 00:04:17,080 --> 00:04:21,960 Speaker 3: the opportunity to upskill, to learn about AI, to improve 75 00:04:22,000 --> 00:04:27,120 Speaker 3: your digital skills, to do anything that might actually better 76 00:04:27,160 --> 00:04:31,200 Speaker 3: prepare you for a fast changing world, grasp those opportunities 77 00:04:31,240 --> 00:04:36,120 Speaker 3: with both hands, because we need to augment what we 78 00:04:36,200 --> 00:04:40,159 Speaker 3: already know with what we don't know. And I think 79 00:04:40,200 --> 00:04:45,400 Speaker 3: what's very interesting and important to note is that the 80 00:04:45,480 --> 00:04:49,880 Speaker 3: destination is different and so it is so is the 81 00:04:49,960 --> 00:04:53,719 Speaker 3: route that our children must take into the future. So 82 00:04:53,880 --> 00:05:00,800 Speaker 3: don't default into the thinking of optimizing what you know 83 00:05:01,640 --> 00:05:06,320 Speaker 3: right now that maybe lawyers, doctors and accountants earn the 84 00:05:06,360 --> 00:05:11,000 Speaker 3: most money, because that may not hold water in ten 85 00:05:11,160 --> 00:05:14,520 Speaker 3: or fifteen years time. So if you've got a child 86 00:05:14,640 --> 00:05:17,680 Speaker 3: who is, say in primary or high school right now, 87 00:05:18,279 --> 00:05:22,200 Speaker 3: it's very easy to default to that thinking and kind 88 00:05:22,240 --> 00:05:26,800 Speaker 3: of start steering your child in that direction, and that 89 00:05:26,960 --> 00:05:31,480 Speaker 3: might be the biggest error you make, just as maybe 90 00:05:31,520 --> 00:05:35,159 Speaker 3: we need to start reframing the question what should my 91 00:05:35,320 --> 00:05:38,720 Speaker 3: child study, because we know when people ask that they're 92 00:05:38,720 --> 00:05:43,520 Speaker 3: saying what degree should my child go and do at university? 93 00:05:44,640 --> 00:05:49,520 Speaker 3: That thinking may also be flawed into the future. And 94 00:05:49,880 --> 00:05:52,760 Speaker 3: in a country like South Africa, where we've been sold 95 00:05:52,920 --> 00:05:57,120 Speaker 3: by the new dispensation in our country many years ago, 96 00:05:57,440 --> 00:06:00,360 Speaker 3: if you can get your child to university, that's the panason, Yeah, 97 00:06:01,200 --> 00:06:05,400 Speaker 3: your child will then be successful. That doesn't necessarily hold 98 00:06:05,440 --> 00:06:10,880 Speaker 3: water today, and we are seeing universities scrabbling to reinvent 99 00:06:10,960 --> 00:06:14,640 Speaker 3: the kind of careers, kind of degrees that they're offering, 100 00:06:15,440 --> 00:06:20,680 Speaker 3: and it's not happening fast enough, obviously because big machines 101 00:06:20,839 --> 00:06:22,440 Speaker 3: are very slow to change. 102 00:06:23,720 --> 00:06:25,920 Speaker 1: But the overall advice. 103 00:06:26,160 --> 00:06:29,680 Speaker 3: That we're giving to parents today is that we need 104 00:06:29,880 --> 00:06:37,080 Speaker 3: tea thinkers, children who think at the intersection between technology, humanities, 105 00:06:37,520 --> 00:06:42,679 Speaker 3: and sciences. So if we were to give some advice today, 106 00:06:43,080 --> 00:06:46,640 Speaker 3: and all of this is extremely fluid, I might add, 107 00:06:46,680 --> 00:06:51,240 Speaker 3: because it's changing so quickly, we do advise that you're 108 00:06:51,279 --> 00:06:55,839 Speaker 3: looking at something that will enable your children to think 109 00:06:56,000 --> 00:06:59,800 Speaker 3: broadly so I'm going to throw a few things out 110 00:07:00,800 --> 00:07:03,599 Speaker 3: that might surprise people. 111 00:07:04,279 --> 00:07:06,320 Speaker 1: So, you know, we're talking about a. 112 00:07:08,360 --> 00:07:11,200 Speaker 3: Generation of children who are going to have to create 113 00:07:11,720 --> 00:07:16,360 Speaker 3: solutions and cures for diseases that our generation hasn't yet 114 00:07:16,400 --> 00:07:17,280 Speaker 3: managed to crack. 115 00:07:18,080 --> 00:07:18,280 Speaker 1: That. 116 00:07:19,120 --> 00:07:22,360 Speaker 3: We are going to have to come up with new 117 00:07:22,440 --> 00:07:27,800 Speaker 3: solutions for disabilities, and what about water scarcity, We haven't 118 00:07:27,800 --> 00:07:28,720 Speaker 3: cracked that yet. 119 00:07:29,040 --> 00:07:30,480 Speaker 1: I mean, look, we live in Joeburg. 120 00:07:30,920 --> 00:07:34,000 Speaker 3: You and I live very close together geographically, and we 121 00:07:34,160 --> 00:07:41,560 Speaker 3: have water cuts all the time, extreme weather events, disaster relief, 122 00:07:41,960 --> 00:07:45,960 Speaker 3: logistical challenges. These are all things that our children need 123 00:07:46,000 --> 00:07:50,320 Speaker 3: to come along and rescue the world from. So when 124 00:07:50,560 --> 00:07:56,080 Speaker 3: we think of degrees, let's look at something like cognitive 125 00:07:56,120 --> 00:08:01,440 Speaker 3: science combined with computer science. And what that means is 126 00:08:01,480 --> 00:08:05,760 Speaker 3: that you're sitting at the combination of statistics, computer science, 127 00:08:06,320 --> 00:08:12,640 Speaker 3: and social science, so all three and you're using large 128 00:08:12,640 --> 00:08:20,320 Speaker 3: scale digital trace data to analyze human behavior, social relationships, 129 00:08:20,800 --> 00:08:26,480 Speaker 3: and complex societal phenomena. So we're looking at everything. Then 130 00:08:26,560 --> 00:08:29,600 Speaker 3: you might be looking at behavioral economics. Now. Of course, 131 00:08:29,640 --> 00:08:31,600 Speaker 3: the company that's led the way in that in South 132 00:08:31,640 --> 00:08:35,400 Speaker 3: Africa has been Discovery because they use big sets of 133 00:08:35,520 --> 00:08:40,160 Speaker 3: data to predict health trends and then that in turn 134 00:08:40,480 --> 00:08:46,000 Speaker 3: helps them using their actuurial knowledge to then come up 135 00:08:46,040 --> 00:08:51,839 Speaker 3: with better health care scenarios, treatment plans, incentives, etc. So 136 00:08:51,880 --> 00:08:57,560 Speaker 3: that's about studying psychology howse psychology and social factors and 137 00:08:57,640 --> 00:09:02,160 Speaker 3: emotions influence decision making. And if you think of a 138 00:09:02,200 --> 00:09:06,400 Speaker 3: company like Discovery, it's the decision making around exercise and 139 00:09:06,920 --> 00:09:09,079 Speaker 3: driving and what we eat. 140 00:09:09,320 --> 00:09:11,679 Speaker 1: And saving for retirement and saving for retirement. 141 00:09:12,040 --> 00:09:15,520 Speaker 3: So they're a classic example of the kind of company 142 00:09:15,520 --> 00:09:20,880 Speaker 3: that employs these kinds of people. Then bioinformatics once again 143 00:09:21,160 --> 00:09:25,560 Speaker 3: into disciplinary where we're looking at the combination of biology, 144 00:09:25,679 --> 00:09:31,880 Speaker 3: computer science, maths and stats to analyze an interpret DNA 145 00:09:32,440 --> 00:09:35,520 Speaker 3: and RNA and protein sequences. 146 00:09:36,840 --> 00:09:38,520 Speaker 1: So we really. 147 00:09:38,240 --> 00:09:43,840 Speaker 3: Want people who can think about people skills, how people behave, 148 00:09:43,920 --> 00:09:47,520 Speaker 3: how people think, and combine it with being able to 149 00:09:47,640 --> 00:09:53,640 Speaker 3: use big data to predict things. So that combination is 150 00:09:53,720 --> 00:09:57,320 Speaker 3: going to be important. I've said for many, many years 151 00:09:57,360 --> 00:10:01,120 Speaker 3: that the people who do really well are the people 152 00:10:01,200 --> 00:10:05,640 Speaker 3: who can do both the people and the sciences, or 153 00:10:05,679 --> 00:10:09,319 Speaker 3: the maths and the human side, or the arts and 154 00:10:09,400 --> 00:10:09,920 Speaker 3: the maths. 155 00:10:10,440 --> 00:10:13,120 Speaker 1: It's that interesting combination. 156 00:10:13,600 --> 00:10:17,240 Speaker 3: And then of course, what micro certifications are you doing 157 00:10:17,640 --> 00:10:22,680 Speaker 3: to bolt on are the pieces to make you more 158 00:10:22,720 --> 00:10:29,600 Speaker 3: interesting and more employable, because it's actually the interesting combinations 159 00:10:29,600 --> 00:10:32,760 Speaker 3: that make you interesting for a company to employ. 160 00:10:32,559 --> 00:10:35,880 Speaker 2: Right because they think this is the basket or the 161 00:10:36,000 --> 00:10:40,640 Speaker 2: number of skills knowledge that you bring. So you're not 162 00:10:40,679 --> 00:10:45,000 Speaker 2: just bringing one thing. You're able to work across departments. 163 00:10:44,640 --> 00:10:48,520 Speaker 3: Yes, which makes you flexible, Yes, and adaptable because today 164 00:10:48,559 --> 00:10:50,559 Speaker 3: you can start off in a business with X, y 165 00:10:50,720 --> 00:10:55,880 Speaker 3: Z job title. In a year's time, that job may 166 00:10:55,920 --> 00:10:59,920 Speaker 3: not exist anymore because that department closed down. And if 167 00:11:00,120 --> 00:11:04,960 Speaker 3: you're not redeployable, you're out. Yes, And that's actually the 168 00:11:04,960 --> 00:11:09,480 Speaker 3: bottom line. If you cannot be flexible and adaptable, if 169 00:11:09,480 --> 00:11:13,120 Speaker 3: you're not on a continuous learning journey, if you're not 170 00:11:13,400 --> 00:11:18,800 Speaker 3: constantly adding to what you have, where are you nowhere? 171 00:11:19,040 --> 00:11:21,600 Speaker 2: And so that I guess even challenges for parents the 172 00:11:21,679 --> 00:11:25,480 Speaker 2: idea of what a career looks like. Before for many parents, 173 00:11:25,720 --> 00:11:28,800 Speaker 2: you studied a particular thing, maybe you did nursing or 174 00:11:28,840 --> 00:11:32,000 Speaker 2: teaching or law or whatever it is. You got your 175 00:11:32,040 --> 00:11:35,400 Speaker 2: first job at twenty one, twenty two, whenever it was, 176 00:11:35,720 --> 00:11:37,400 Speaker 2: and you held that job. It is the job you 177 00:11:37,440 --> 00:11:40,120 Speaker 2: did for forty years, thirty five years, and then you're 178 00:11:40,120 --> 00:11:43,800 Speaker 2: retired at you know, fifty five, sixty sixty whatever. Now 179 00:11:44,440 --> 00:11:47,839 Speaker 2: that's not how the world of work works anymore. Even 180 00:11:47,880 --> 00:11:50,720 Speaker 2: if you are to go into something like law, AI 181 00:11:50,880 --> 00:11:53,720 Speaker 2: is impacting law. If you go into medicine AIS I 182 00:11:53,760 --> 00:11:57,479 Speaker 2: was seeing just this week, I think India is piloting 183 00:11:57,520 --> 00:12:01,160 Speaker 2: AI doctors, which they're saying, well, just to the medical industry, 184 00:12:01,160 --> 00:12:03,440 Speaker 2: and that's generally considered by parents to be quite a 185 00:12:03,440 --> 00:12:06,520 Speaker 2: safe industry. Go be a doctor, of course, be a lawyer. 186 00:12:06,679 --> 00:12:09,200 Speaker 2: It's a safe job. The money's good, you'll be fine. 187 00:12:09,559 --> 00:12:14,480 Speaker 2: But even there, we're seeing tech disrupting, you know, the 188 00:12:14,600 --> 00:12:16,160 Speaker 2: so called safer. 189 00:12:16,720 --> 00:12:19,679 Speaker 1: Because now we can have virtual doctors. Now we can 190 00:12:19,720 --> 00:12:20,880 Speaker 1: have AI doctors. 191 00:12:21,280 --> 00:12:24,760 Speaker 3: Now we can have virtual surgery where the surgeon doesn't 192 00:12:24,800 --> 00:12:27,640 Speaker 3: have to even be in the country that you live in, 193 00:12:27,920 --> 00:12:31,280 Speaker 3: right because as long as you've got a stable Internet, 194 00:12:32,120 --> 00:12:37,800 Speaker 3: they can control the robot that is now operating on you. 195 00:12:37,840 --> 00:12:41,200 Speaker 3: Just in the past couple of months, we've had stem 196 00:12:41,280 --> 00:12:45,280 Speaker 3: cells used to grow a new esophagus and that's been 197 00:12:45,320 --> 00:12:49,000 Speaker 3: implanted in somebody. So of course we are looking at 198 00:12:49,040 --> 00:12:50,959 Speaker 3: a generation of children who are going to live to 199 00:12:51,000 --> 00:12:54,280 Speaker 3: one hundred and they will work for eighty years of 200 00:12:54,320 --> 00:12:59,320 Speaker 3: the hundred years, they're going to do things we cannot 201 00:12:59,600 --> 00:13:05,360 Speaker 3: even imagine. So robotic surgery allows you to work in 202 00:13:05,440 --> 00:13:08,640 Speaker 3: such tiny spaces that the human hand and the human 203 00:13:08,679 --> 00:13:13,360 Speaker 3: eye would not normally allow you to work in. It's 204 00:13:13,400 --> 00:13:17,360 Speaker 3: got a steadiness of hand that the human hand doesn't have. 205 00:13:18,400 --> 00:13:19,880 Speaker 1: And so when you watch. 206 00:13:19,920 --> 00:13:25,040 Speaker 3: Virtual surgery or robotic surgery, you're actually watching something that's 207 00:13:25,520 --> 00:13:29,920 Speaker 3: a surgeon who's holding it looks like kind of probes, 208 00:13:29,960 --> 00:13:33,360 Speaker 3: but it's not even in mid air, looks like an 209 00:13:33,440 --> 00:13:39,040 Speaker 3: orchestra conductor, and they're actually conducting the robotic arms. So 210 00:13:39,760 --> 00:13:43,280 Speaker 3: if you think about surgery today, if you've got a 211 00:13:43,320 --> 00:13:48,320 Speaker 3: bit of gaming experience, that'll help you as a surgeon today. 212 00:13:48,960 --> 00:13:53,480 Speaker 3: So there's some very interesting combinations here. Freelance coding and 213 00:13:53,520 --> 00:13:56,560 Speaker 3: gaming design. You can go and do a BSc in 214 00:13:56,640 --> 00:13:59,760 Speaker 3: Gaming ADVITCE that is not to teach you how to 215 00:14:00,240 --> 00:14:03,160 Speaker 3: be a better gamer, but it's to teach you about 216 00:14:03,200 --> 00:14:06,920 Speaker 3: the art and science of gaming and how to apply 217 00:14:07,120 --> 00:14:12,600 Speaker 3: that to industry and business, because industry and business uses 218 00:14:12,679 --> 00:14:16,520 Speaker 3: gaming skills today. So you just have to think about 219 00:14:18,280 --> 00:14:23,360 Speaker 3: learning and development is using gaming in L and D. 220 00:14:24,160 --> 00:14:29,760 Speaker 3: You've got when you go and apply for a job today, 221 00:14:29,920 --> 00:14:32,200 Speaker 3: you may have to do a little bit of gaming 222 00:14:32,320 --> 00:14:35,640 Speaker 3: as part of the job application to pass a test, 223 00:14:37,160 --> 00:14:41,640 Speaker 3: which leads me to something that's a little bit sad, actually, 224 00:14:41,680 --> 00:14:43,640 Speaker 3: and that is that I spoke to somebody yesterday who 225 00:14:43,680 --> 00:14:49,040 Speaker 3: specializes in skills development and BEE and learnerships. Because you 226 00:14:49,080 --> 00:14:51,960 Speaker 3: don't have to go to university today. You can do learnerships. 227 00:14:51,960 --> 00:14:54,640 Speaker 3: And learnerships are great because of course you get paid 228 00:14:54,960 --> 00:14:59,480 Speaker 3: to study and actually do practical work in the field. 229 00:15:00,960 --> 00:15:04,960 Speaker 3: And she was saying, one of the biggest issues in 230 00:15:05,000 --> 00:15:09,320 Speaker 3: a country like ours is that the vast majority of 231 00:15:09,360 --> 00:15:12,200 Speaker 3: our population is not exposed to even owning a computer. 232 00:15:13,360 --> 00:15:15,359 Speaker 1: So one of the first things. 233 00:15:15,080 --> 00:15:17,720 Speaker 3: They do in a learnership is teach people how to 234 00:15:17,760 --> 00:15:21,120 Speaker 3: switch on a computer, how to write a document, how 235 00:15:21,120 --> 00:15:23,240 Speaker 3: to attach the document to an email, how to write 236 00:15:23,240 --> 00:15:25,640 Speaker 3: an email, how to save a document, how to share 237 00:15:25,640 --> 00:15:28,400 Speaker 3: a document. Now, for you and I, that sounds basic, 238 00:15:29,520 --> 00:15:32,120 Speaker 3: but it is one of the biggest barriers to entry 239 00:15:32,440 --> 00:15:36,800 Speaker 3: in our country is basic computer literacy. But if we 240 00:15:36,880 --> 00:15:40,320 Speaker 3: think about the future, we're going to need robotic technicians, 241 00:15:40,360 --> 00:15:45,520 Speaker 3: We're going to need renewable energy installers, cybersecurity operators, drone 242 00:15:45,560 --> 00:15:52,840 Speaker 3: systems operators, electric vehicle servicing. And then we've got Etsy 243 00:15:52,880 --> 00:15:57,920 Speaker 3: style product businesses plus a YouTube channel. So Etsy style 244 00:15:58,000 --> 00:16:03,120 Speaker 3: products are quite sort of homemade. Crochet would work art 245 00:16:03,600 --> 00:16:07,640 Speaker 3: that kind of stuff, but it's sold online. Then sound engineering, 246 00:16:08,520 --> 00:16:11,320 Speaker 3: which can lead you to podcast production, or you're doing both. 247 00:16:11,600 --> 00:16:14,680 Speaker 3: Because we're going to need children who need multiple streams 248 00:16:14,680 --> 00:16:17,240 Speaker 3: of income. It's no longer going to be I'm a 249 00:16:17,320 --> 00:16:21,160 Speaker 3: lawyer and that's all I do. Actually, the important thing 250 00:16:21,280 --> 00:16:24,040 Speaker 3: is how many streams of income do you have? Because 251 00:16:24,040 --> 00:16:26,640 Speaker 3: if one stream of income shuts down, I hope you've 252 00:16:26,640 --> 00:16:31,120 Speaker 3: got another two. I think what we need to do 253 00:16:31,200 --> 00:16:36,760 Speaker 3: as parents is let go of this absolute fixation we 254 00:16:36,840 --> 00:16:40,200 Speaker 3: have that our children must go to university to be 255 00:16:40,240 --> 00:16:44,200 Speaker 3: worth anything, or maybe it looks good for you for 256 00:16:44,320 --> 00:16:47,400 Speaker 3: your child to go to university, and we need to 257 00:16:47,480 --> 00:16:52,080 Speaker 3: change the question from what should my child study to 258 00:16:53,120 --> 00:16:57,000 Speaker 3: what skills and knowledge does my child need to acquire 259 00:16:57,480 --> 00:17:01,560 Speaker 3: in order to survive and thrive in a very new 260 00:17:01,600 --> 00:17:04,520 Speaker 3: look world. And that might be a combination of a 261 00:17:04,560 --> 00:17:08,160 Speaker 3: degree and or maybe no degree at all. And we're 262 00:17:08,200 --> 00:17:10,720 Speaker 3: going to have to be very creative as to how 263 00:17:10,760 --> 00:17:15,720 Speaker 3: we build what I call talent profiles. Beyond just a 264 00:17:15,840 --> 00:17:19,040 Speaker 3: very boring CV, what does your talent profile look like? 265 00:17:19,320 --> 00:17:22,840 Speaker 3: And that'll be a combination of things that you study 266 00:17:22,880 --> 00:17:27,840 Speaker 3: and learn, as well as every experience you have ever had. 267 00:17:28,880 --> 00:17:31,480 Speaker 3: And there was one other piece of advice that this 268 00:17:31,600 --> 00:17:34,960 Speaker 3: woman gave me on the phone yesterday, and she said, 269 00:17:35,920 --> 00:17:38,040 Speaker 3: even if you go and do a degree or whatever 270 00:17:38,080 --> 00:17:39,760 Speaker 3: it is that you study, if you can't find a 271 00:17:39,840 --> 00:17:44,080 Speaker 3: job in the field of study, do not stop working. 272 00:17:44,600 --> 00:17:45,760 Speaker 1: Get a job. 273 00:17:46,080 --> 00:17:50,280 Speaker 3: She said, I don't care whether you are packing groceries 274 00:17:50,320 --> 00:17:54,000 Speaker 3: at Macro or Checkers. She said, gaps and cvs of 275 00:17:54,200 --> 00:17:58,920 Speaker 3: no work are problematic. If you are prepared to do 276 00:17:59,040 --> 00:18:03,320 Speaker 3: just about anything thing to keep away from having gaps, 277 00:18:03,600 --> 00:18:06,280 Speaker 3: it shows you committed. It shows that you're going to 278 00:18:06,320 --> 00:18:09,600 Speaker 3: show up. It shows that you're determined. It shows that 279 00:18:09,640 --> 00:18:14,200 Speaker 3: you're flexible and adaptable. You know, even people with degrees 280 00:18:14,480 --> 00:18:17,560 Speaker 3: are probably going to be guaranteed moments and periods of 281 00:18:17,600 --> 00:18:20,320 Speaker 3: time of unemployment today as. 282 00:18:20,119 --> 00:18:22,959 Speaker 1: They navigate the world between jobs. 283 00:18:23,600 --> 00:18:26,000 Speaker 3: And so the other thing is that we really need 284 00:18:26,000 --> 00:18:28,880 Speaker 3: our kids to be financially savvy and from the earliest 285 00:18:28,920 --> 00:18:33,880 Speaker 3: of days to be putting money into wealth generating investments. 286 00:18:34,119 --> 00:18:35,879 Speaker 3: That does not mean you have to be putting fifty 287 00:18:35,920 --> 00:18:38,359 Speaker 3: thousand rand a month away. It can start with one 288 00:18:38,400 --> 00:18:42,320 Speaker 3: hundred round a month. Because money in the market over 289 00:18:42,400 --> 00:18:45,600 Speaker 3: time is going to give you options, because money grows 290 00:18:45,880 --> 00:18:48,160 Speaker 3: over time if it's invested. 291 00:18:47,720 --> 00:18:50,879 Speaker 1: In the right way and as as possible. 292 00:18:50,520 --> 00:18:52,399 Speaker 3: As early as possible, And so if you're going to 293 00:18:52,400 --> 00:18:54,760 Speaker 3: have periods of unemployment, you might need to tide yourself 294 00:18:54,800 --> 00:18:58,920 Speaker 3: over while you're upskill and reskill for the next big thing. 295 00:19:00,119 --> 00:19:02,560 Speaker 3: It's going to be a very interesting world our children 296 00:19:02,600 --> 00:19:05,520 Speaker 3: move into, and I think it's going to be very 297 00:19:05,560 --> 00:19:10,720 Speaker 3: exciting because it's not a linear world anymore, which means 298 00:19:10,720 --> 00:19:16,280 Speaker 3: that even our neurodiverse populations are disabled populations are likely 299 00:19:16,760 --> 00:19:20,280 Speaker 3: to get way more interesting jobs and access to market 300 00:19:20,320 --> 00:19:26,080 Speaker 3: than ever before. So we've democratized work in a way, 301 00:19:26,480 --> 00:19:28,040 Speaker 3: the world of work in a way that it was 302 00:19:28,040 --> 00:19:33,639 Speaker 3: never democratized before, as knowledge has been democratized. So hold 303 00:19:33,720 --> 00:19:37,840 Speaker 3: on to your horses and your hats, because the change 304 00:19:37,840 --> 00:19:39,040 Speaker 3: is going to be hard and faster. 305 00:19:39,119 --> 00:19:41,440 Speaker 2: Yeah, it's going to be a rind Nikki always a 306 00:19:41,440 --> 00:19:43,399 Speaker 2: great pleasure. Chadden to you, Thank you so much for 307 00:19:43,440 --> 00:19:44,600 Speaker 2: your time this morning. 308 00:19:44,520 --> 00:19:45,600 Speaker 1: Thanks for having me googs. 309 00:19:45,640 --> 00:19:48,680 Speaker 3: And of course there's lots of information in the book 310 00:19:48,880 --> 00:19:52,080 Speaker 3: Growing Graham Codrington and I wrote called future Proof Your 311 00:19:52,200 --> 00:19:54,040 Speaker 3: Child for the twenty twenties and beyond. 312 00:19:54,320 --> 00:19:57,879 Speaker 2: That's our resident human potential and parenting experts Nikki Bush, 313 00:19:58,160 --> 00:20:00,359 Speaker 2: where in a short moment we'll have a look at 314 00:20:00,400 --> 00:20:03,560 Speaker 2: what's happening in the arts. We will start at the 315 00:20:03,800 --> 00:20:07,359 Speaker 2: Joberg Theater where we talk about a new production that 316 00:20:07,520 --> 00:20:13,440 Speaker 2: celebrates Motown's influence. Will speak to Margaret Mozache, whose musical director. 317 00:20:13,840 --> 00:20:16,640 Speaker 2: But first, it's twenty seven minutes before nine o'clock. Let's 318 00:20:16,680 --> 00:20:18,520 Speaker 2: check in with your latest. I witness a new sport 319 00:20:18,600 --> 00:20:19,560 Speaker 2: with underneath shader