1 00:00:00,000 --> 00:00:01,600 Welcome back, deep divers. 2 00:00:01,600 --> 00:00:02,520 Ready for another deep dive? 3 00:00:02,520 --> 00:00:03,360 Always. 4 00:00:03,360 --> 00:00:05,800 Okay, so today we're gonna be tackling AI 5 00:00:05,800 --> 00:00:07,400 and the future of jobs. 6 00:00:07,400 --> 00:00:08,520 Ooh, interesting. 7 00:00:08,520 --> 00:00:10,960 Yeah, we've got the super interesting interview 8 00:00:10,960 --> 00:00:12,720 with Gilbert Hungbo. 9 00:00:12,720 --> 00:00:13,560 Okay. 10 00:00:13,560 --> 00:00:14,680 He's the director general 11 00:00:14,680 --> 00:00:17,360 of the international labor organization, the ILO. 12 00:00:17,360 --> 00:00:18,480 Right, right. 13 00:00:18,480 --> 00:00:20,880 And by the end of this deep dive, 14 00:00:20,880 --> 00:00:22,560 I think we'll have a much better understanding 15 00:00:22,560 --> 00:00:25,960 of how AI is going to reshape the career landscape. 16 00:00:25,960 --> 00:00:26,800 I'm ready. 17 00:00:26,800 --> 00:00:27,960 All right, so right off the bat, 18 00:00:27,960 --> 00:00:29,640 Hungbo doesn't sugarcoat anything. 19 00:00:29,640 --> 00:00:31,280 He's like, yeah, AI is gonna lead 20 00:00:31,280 --> 00:00:33,440 to millions of jobs being lost. 21 00:00:33,440 --> 00:00:34,840 Wow, he just puts it out there, huh? 22 00:00:34,840 --> 00:00:36,120 But, and here's the thing. 23 00:00:36,120 --> 00:00:39,680 He also says that AI is gonna create millions of jobs. 24 00:00:39,680 --> 00:00:41,680 Okay, so it's kind of, it's a double-edged sword then. 25 00:00:41,680 --> 00:00:43,640 It is, he calls it a job churn. 26 00:00:43,640 --> 00:00:45,400 A job churn, so it's not just a simple, 27 00:00:45,400 --> 00:00:46,920 like robots are taking over. 28 00:00:46,920 --> 00:00:47,760 No, no. 29 00:00:47,760 --> 00:00:49,680 It's more nuanced, like a shift. 30 00:00:49,680 --> 00:00:51,920 Exactly, yeah, some jobs go away, 31 00:00:51,920 --> 00:00:53,440 but different ones are created. 32 00:00:53,440 --> 00:00:54,880 Like a wave, you know? 33 00:00:54,880 --> 00:00:55,720 Okay. 34 00:00:55,720 --> 00:00:56,760 Like a big wave hitting the shore. 35 00:00:56,760 --> 00:00:57,600 Okay. 36 00:00:57,600 --> 00:00:59,240 And some people, unfortunately, they get swept away. 37 00:00:59,240 --> 00:01:00,080 Yeah. 38 00:01:00,080 --> 00:01:01,520 But some people learn how to ride that wave. 39 00:01:01,520 --> 00:01:02,800 I like that analogy. 40 00:01:02,800 --> 00:01:04,240 And they find new opportunities. 41 00:01:04,240 --> 00:01:05,640 And that's really what he's emphasized. 42 00:01:05,640 --> 00:01:06,480 Yeah. 43 00:01:06,480 --> 00:01:09,560 Like being adaptable and always learning new skills. 44 00:01:09,560 --> 00:01:11,760 Like you have to be ready to learn new things 45 00:01:11,760 --> 00:01:12,840 your whole career. 46 00:01:12,840 --> 00:01:16,360 Exactly, it's not enough to just learn one thing and be set. 47 00:01:16,360 --> 00:01:18,560 And this isn't just about factory jobs, right? 48 00:01:18,560 --> 00:01:19,520 Right, not at all. 49 00:01:19,520 --> 00:01:21,240 This is impacting everyone. 50 00:01:21,240 --> 00:01:22,680 Absolutely, it's across the board. 51 00:01:22,680 --> 00:01:24,240 Yeah, so Hungbo gives some examples. 52 00:01:24,240 --> 00:01:27,320 He talks about interpreters, like translators, 53 00:01:27,320 --> 00:01:31,000 being replaced by AI powered translation tools. 54 00:01:31,000 --> 00:01:31,840 Yeah, that makes sense. 55 00:01:31,840 --> 00:01:34,880 And then recruiters using AI to like go through tons 56 00:01:34,880 --> 00:01:35,720 of resumes. 57 00:01:35,720 --> 00:01:36,760 Right, to sort through them all. 58 00:01:36,760 --> 00:01:40,240 And even speech writers feeling the pressure of AI. 59 00:01:40,240 --> 00:01:42,800 Speech writers, so even creative jobs. 60 00:01:42,800 --> 00:01:44,360 Yeah, yeah. 61 00:01:44,360 --> 00:01:45,200 That's why. 62 00:01:45,200 --> 00:01:47,360 It's a little unsettling to me, honestly. 63 00:01:47,360 --> 00:01:49,480 I mean, I work in communications. 64 00:01:49,480 --> 00:01:50,320 Right. 65 00:01:50,320 --> 00:01:53,040 So the idea of like an AI writing a speech first, 66 00:01:53,040 --> 00:01:54,720 it's a little scary. 67 00:01:54,720 --> 00:01:57,160 Is it really that good though, these AI writers? 68 00:01:57,160 --> 00:01:59,320 Well, I mean, they're getting better all the time. 69 00:01:59,320 --> 00:01:59,920 Yeah, that's true. 70 00:01:59,920 --> 00:02:01,040 Technology is always changing. 71 00:02:01,040 --> 00:02:02,640 But the important thing to remember 72 00:02:02,640 --> 00:02:05,480 is that for now, it's more about augmentation, not 73 00:02:05,480 --> 00:02:06,160 replacement. 74 00:02:06,160 --> 00:02:07,320 So AI is like a tool. 75 00:02:07,320 --> 00:02:08,040 Exactly. 76 00:02:08,040 --> 00:02:08,760 Not a replacement. 77 00:02:08,760 --> 00:02:11,480 Like a powerful tool that we can use to be more efficient. 78 00:02:11,480 --> 00:02:12,400 OK, I like that. 79 00:02:12,400 --> 00:02:16,000 Like think of it like a carpenter with a new power foe. 80 00:02:16,000 --> 00:02:16,720 OK, yeah. 81 00:02:16,720 --> 00:02:19,600 It makes their job e-ear, but it doesn't replace the carpenter. 82 00:02:19,600 --> 00:02:21,320 Right, the carpenter still has to know what they're doing. 83 00:02:21,320 --> 00:02:22,000 Exactly. 84 00:02:22,000 --> 00:02:24,120 They just have a new tool to help them do it better. 85 00:02:24,120 --> 00:02:26,760 So it's more about humans and AI working together. 86 00:02:26,760 --> 00:02:27,400 Like a partnership. 87 00:02:27,400 --> 00:02:28,600 Yeah. 88 00:02:28,600 --> 00:02:30,640 But I do wonder about how this will 89 00:02:30,640 --> 00:02:32,400 affect different groups of workers. 90 00:02:32,400 --> 00:02:33,360 Oh, yeah, for sure. 91 00:02:33,360 --> 00:02:36,440 Humbo actually expresses concern about women 92 00:02:36,440 --> 00:02:38,680 being disproportionately impacted. 93 00:02:38,680 --> 00:02:39,600 Oh, that's interesting. 94 00:02:39,600 --> 00:02:40,480 Why? 95 00:02:40,480 --> 00:02:43,120 Well, he points out that a lot of women currently 96 00:02:43,120 --> 00:02:44,680 have clerical jobs. 97 00:02:44,680 --> 00:02:45,320 OK. 98 00:02:45,320 --> 00:02:47,160 Like administrative work. 99 00:02:47,160 --> 00:02:49,840 And those are the jobs that could be most easily automated. 100 00:02:49,840 --> 00:02:50,360 Exactly. 101 00:02:50,360 --> 00:02:53,600 If you think about a big company and all the admin tasks, 102 00:02:53,600 --> 00:02:55,280 a lot of those could be done by AI. 103 00:02:55,280 --> 00:02:57,920 And that could lead to job losses in those areas. 104 00:02:57,920 --> 00:02:58,240 Right. 105 00:02:58,240 --> 00:03:00,320 And if women are predominantly holding those jobs, 106 00:03:00,320 --> 00:03:02,400 then they would be the one that most affected. 107 00:03:02,400 --> 00:03:03,240 It's a real concern. 108 00:03:03,240 --> 00:03:03,640 Yeah. 109 00:03:03,640 --> 00:03:05,760 That raises a lot of quenches about how 110 00:03:05,760 --> 00:03:09,720 we can ensure a fair transition as AI becomes more integrated. 111 00:03:09,720 --> 00:03:10,240 Absolutely. 112 00:03:10,240 --> 00:03:11,720 And this is where he talks about the ILO's 113 00:03:11,720 --> 00:03:12,960 tripartite structure. 114 00:03:12,960 --> 00:03:13,800 OK, what's that? 115 00:03:13,800 --> 00:03:15,960 So they bring together governments, employers, 116 00:03:15,960 --> 00:03:18,600 and trade unions to discuss these issues 117 00:03:18,600 --> 00:03:20,840 and find solutions that work for everyone. 118 00:03:20,840 --> 00:03:22,600 So it's like everyone has a C at the table. 119 00:03:22,600 --> 00:03:22,840 It is. 120 00:03:22,840 --> 00:03:24,120 It's like a three-legged stool. 121 00:03:24,120 --> 00:03:25,720 You need all three legs to be strong. 122 00:03:25,720 --> 00:03:26,280 I see. 123 00:03:26,280 --> 00:03:28,680 So governments can set policies, employers 124 00:03:28,680 --> 00:03:29,920 can invest in training. 125 00:03:29,920 --> 00:03:30,640 OK. 126 00:03:30,640 --> 00:03:32,960 And unions can fight for workers' rights. 127 00:03:32,960 --> 00:03:34,520 So it's not just about the technology. 128 00:03:34,520 --> 00:03:36,120 It's about the social impact. 129 00:03:36,120 --> 00:03:36,680 Exactly. 130 00:03:36,680 --> 00:03:40,040 We have to develop new models of work, education, 131 00:03:40,040 --> 00:03:41,160 and social safety nets. 132 00:03:41,160 --> 00:03:44,160 So everyone benefits from this revolution. 133 00:03:44,160 --> 00:03:44,400 Right. 134 00:03:44,400 --> 00:03:45,760 Not just to select few. 135 00:03:45,760 --> 00:03:47,560 I bet some people are listening and thinking, 136 00:03:47,560 --> 00:03:50,360 well, if AI is such a threat, why haven't we 137 00:03:50,360 --> 00:03:52,120 seen mass layoffs yet? 138 00:03:52,120 --> 00:03:53,400 Yeah, that's a good point. 139 00:03:53,400 --> 00:03:55,560 Like, where is the evidence of this happening? 140 00:03:55,560 --> 00:03:56,920 Well, Hungbo acknowledges that. 141 00:03:56,920 --> 00:03:57,240 OK. 142 00:03:57,240 --> 00:03:59,320 He argues that the changes are already happening. 143 00:03:59,320 --> 00:03:59,880 OK. 144 00:03:59,880 --> 00:04:02,120 But they're often subtle and gradual. 145 00:04:02,120 --> 00:04:04,280 So it's not enmermatic as we might imagine. 146 00:04:04,280 --> 00:04:04,560 Right. 147 00:04:04,560 --> 00:04:07,240 He gives the example of international organizations 148 00:04:07,240 --> 00:04:08,680 replacing interpreters. 149 00:04:08,680 --> 00:04:09,400 With AI. 150 00:04:09,400 --> 00:04:11,120 Yeah, with AI-powered tools. 151 00:04:11,120 --> 00:04:14,280 So it's not mass layoffs, but it's a shift in demand. 152 00:04:14,280 --> 00:04:15,160 It's like a slow burn. 153 00:04:15,160 --> 00:04:16,160 It's a gradual process. 154 00:04:16,160 --> 00:04:16,760 Exactly. 155 00:04:16,760 --> 00:04:19,320 He describes it like a fast-moving train that's 156 00:04:19,320 --> 00:04:20,440 picking up steam. 157 00:04:20,440 --> 00:04:22,240 Ooh, I like that visual. 158 00:04:22,240 --> 00:04:23,840 You might not see the full impact 159 00:04:23,840 --> 00:04:25,120 until it's right in front of you. 160 00:04:25,120 --> 00:04:26,120 Wow. 161 00:04:26,120 --> 00:04:28,200 So just because we don't see those big headlines 162 00:04:28,200 --> 00:04:29,440 about job losses. 163 00:04:29,440 --> 00:04:30,400 That doesn't mean it's not happening. 164 00:04:30,400 --> 00:04:31,000 Exactly. 165 00:04:31,000 --> 00:04:32,320 It might just be less obvious. 166 00:04:32,320 --> 00:04:32,800 Yeah. 167 00:04:32,800 --> 00:04:33,600 It's a little happening. 168 00:04:33,600 --> 00:04:36,440 And that makes it even more important to be proactive. 169 00:04:36,440 --> 00:04:37,000 Absolutely. 170 00:04:37,000 --> 00:04:38,440 We can't just wait and react. 171 00:04:38,440 --> 00:04:40,600 We need to prepare for these changes. 172 00:04:40,600 --> 00:04:41,280 Exactly. 173 00:04:41,280 --> 00:04:42,320 And that's what we're going to talk about next. 174 00:04:42,320 --> 00:04:42,640 OK. 175 00:04:42,640 --> 00:04:43,040 I'm ready. 176 00:04:43,040 --> 00:04:45,480 So it feels like we're at this crossroads. 177 00:04:45,480 --> 00:04:45,960 You know? 178 00:04:45,960 --> 00:04:48,920 Like, we've got this amazed to technology AI. 179 00:04:48,920 --> 00:04:50,800 But there's all this anxiety about what 180 00:04:50,800 --> 00:04:54,680 it means for jobs, for society. 181 00:04:54,680 --> 00:04:56,680 Like a real tension, right? 182 00:04:56,680 --> 00:04:58,040 And I think Honbo, he gets that. 183 00:04:58,040 --> 00:04:59,200 He acknowledges it. 184 00:04:59,200 --> 00:05:02,720 He's not like, oh, Ro-Ra, AI is going to fix everything. 185 00:05:02,720 --> 00:05:04,840 But he's also not like doom and gloom. 186 00:05:04,840 --> 00:05:05,000 Yeah. 187 00:05:05,000 --> 00:05:06,240 He's looking for that balance. 188 00:05:06,240 --> 00:05:06,880 Exactly. 189 00:05:06,880 --> 00:05:07,120 Yeah. 190 00:05:07,120 --> 00:05:09,440 He's saying, embrace the innovation. 191 00:05:09,440 --> 00:05:11,000 But be aware of the risks. 192 00:05:11,000 --> 00:05:11,440 Right. 193 00:05:11,440 --> 00:05:12,120 Exactly. 194 00:05:12,120 --> 00:05:14,320 And there's this really interesting thing he brings up 195 00:05:14,320 --> 00:05:17,520 about AI, maybe not just increasing productivity, 196 00:05:17,520 --> 00:05:20,240 but actually reducing working hours. 197 00:05:20,240 --> 00:05:20,560 Oh, wow. 198 00:05:20,560 --> 00:05:22,800 While keeping salaries the same. 199 00:05:22,800 --> 00:05:23,000 Yeah. 200 00:05:23,000 --> 00:05:24,760 That's a different perspective. 201 00:05:24,760 --> 00:05:24,960 Yeah. 202 00:05:24,960 --> 00:05:28,560 It's like, whoa, what does AI actually gave us more free time? 203 00:05:28,560 --> 00:05:30,720 Instead of just making us work harder and faster. 204 00:05:30,720 --> 00:05:31,440 Exactly. 205 00:05:31,440 --> 00:05:34,000 Like, it challenges the whole idea of work-life balance. 206 00:05:34,000 --> 00:05:34,640 It does. 207 00:05:34,640 --> 00:05:35,320 It really does. 208 00:05:35,320 --> 00:05:38,480 Like, what if work was just one part of a fulfilling life, 209 00:05:38,480 --> 00:05:39,920 not the whole thing? 210 00:05:39,920 --> 00:05:43,200 It's like, AI could give us the tools to rethink everything. 211 00:05:43,200 --> 00:05:43,760 Yeah. 212 00:05:43,760 --> 00:05:45,280 But I'm sure some people will be like, no way. 213 00:05:45,280 --> 00:05:46,120 That'll ruin the economy. 214 00:05:46,120 --> 00:05:46,640 I'll be different. 215 00:05:46,640 --> 00:05:48,600 Like, less work equals less productivity. 216 00:05:48,600 --> 00:05:49,720 That's the traditional thinking. 217 00:05:49,720 --> 00:05:50,160 Right. 218 00:05:50,160 --> 00:05:50,520 Right. 219 00:05:50,520 --> 00:05:53,120 But Hongbo is saying, let's at least have the conversation. 220 00:05:53,120 --> 00:05:54,560 We can challenge those assumptions. 221 00:05:54,560 --> 00:05:54,840 Yeah. 222 00:05:54,840 --> 00:05:56,400 Like, what do we actually value? 223 00:05:56,400 --> 00:05:58,000 Is it just about working all the time? 224 00:05:58,000 --> 00:05:58,720 That's a good question. 225 00:05:58,720 --> 00:06:01,120 Or is it about, like, living a good life? 226 00:06:01,120 --> 00:06:01,440 Right. 227 00:06:01,440 --> 00:06:03,240 And maybe AI can help us achieve that. 228 00:06:03,240 --> 00:06:05,520 And I think a lot of people are worried that, you know, 229 00:06:05,520 --> 00:06:07,640 AI is just going to make inequality worse. 230 00:06:07,640 --> 00:06:08,360 Oh, absolutely. 231 00:06:08,360 --> 00:06:09,320 That's a huge concern. 232 00:06:09,320 --> 00:06:11,280 Like, the rich get richer, the poor get poorer. 233 00:06:11,280 --> 00:06:11,480 Yeah. 234 00:06:11,480 --> 00:06:13,520 And Hongbo talks about the digital divide. 235 00:06:13,520 --> 00:06:14,040 The what? 236 00:06:14,040 --> 00:06:14,960 The digital divide. 237 00:06:14,960 --> 00:06:19,480 So, like, not everyone has equal access to technology and data. 238 00:06:19,480 --> 00:06:20,120 Ah. 239 00:06:20,120 --> 00:06:20,400 OK. 240 00:06:20,400 --> 00:06:23,680 So if AI is built on data from wealthy countries, 241 00:06:23,680 --> 00:06:26,280 then it's likely that those countries will benefit the most. 242 00:06:26,280 --> 00:06:27,680 And everyone else gets left behind. 243 00:06:27,680 --> 00:06:28,520 It's a real danger. 244 00:06:28,520 --> 00:06:29,000 Yeah. 245 00:06:29,000 --> 00:06:30,480 So it's not just the tech itself. 246 00:06:30,480 --> 00:06:32,160 It's who has access to it. 247 00:06:32,160 --> 00:06:33,320 That's a crucial point. 248 00:06:33,320 --> 00:06:33,840 Absolutely. 249 00:06:33,840 --> 00:06:35,280 Well, it's not all bad news, right? 250 00:06:35,280 --> 00:06:35,600 No. 251 00:06:35,600 --> 00:06:35,880 No. 252 00:06:35,880 --> 00:06:36,400 Not at all. 253 00:06:36,400 --> 00:06:39,240 Hongbo does highlight some positive examples. 254 00:06:39,240 --> 00:06:39,520 Oh, good. 255 00:06:39,520 --> 00:06:40,080 Like what? 256 00:06:40,080 --> 00:06:42,960 He talks about this partnership in France 257 00:06:42,960 --> 00:06:46,120 between Mistral AI and the employment agency. 258 00:06:46,120 --> 00:06:46,600 OK. 259 00:06:46,600 --> 00:06:49,640 And they're using chat bots to help people find jobs. 260 00:06:49,640 --> 00:06:50,080 Interesting. 261 00:06:50,080 --> 00:06:50,920 How does that work? 262 00:06:50,920 --> 00:06:53,040 So imagine you're looking for a job. 263 00:06:53,040 --> 00:06:53,200 Yeah. 264 00:06:53,200 --> 00:06:55,440 And you don't have time to look through all the job boards. 265 00:06:55,440 --> 00:06:56,720 It can be so overwhelming. 266 00:06:56,720 --> 00:06:56,920 Yeah. 267 00:06:56,920 --> 00:06:59,800 So this chat bot talks to you, figures out your skills. 268 00:06:59,800 --> 00:07:00,320 OK. 269 00:07:00,320 --> 00:07:02,480 And then matches you with potential jobs. 270 00:07:02,480 --> 00:07:03,680 Oh, that's actually really cool. 271 00:07:03,680 --> 00:07:03,920 Yeah. 272 00:07:03,920 --> 00:07:05,440 It could be a really helpful tool. 273 00:07:05,440 --> 00:07:07,400 Especially if it's accessible to everyone. 274 00:07:07,400 --> 00:07:08,320 Exactly. 275 00:07:08,320 --> 00:07:09,120 That's the key. 276 00:07:09,120 --> 00:07:12,560 Like, it has to be designed in a way that's fair and equitable. 277 00:07:12,560 --> 00:07:14,880 So it's not about the AI being good or bad. 278 00:07:14,880 --> 00:07:16,160 It's about how we use it. 279 00:07:16,160 --> 00:07:17,360 It's a tool. 280 00:07:17,360 --> 00:07:19,280 And we have to use it responsibly. 281 00:07:19,280 --> 00:07:19,480 Right. 282 00:07:19,480 --> 00:07:21,120 We have to think about the consequences. 283 00:07:21,120 --> 00:07:23,000 And that brings us back to those conversations 284 00:07:23,000 --> 00:07:25,720 between governments, employers, and unions. 285 00:07:25,720 --> 00:07:25,960 Right. 286 00:07:25,960 --> 00:07:28,320 That tripartite structure that Humbo emphasized. 287 00:07:28,320 --> 00:07:28,520 Yeah. 288 00:07:28,520 --> 00:07:30,200 Like, everyone needs to be involved. 289 00:07:30,200 --> 00:07:32,120 To ensure that AI benefits everyone. 290 00:07:32,120 --> 00:07:35,480 He said that companies are, like, generally open to these ideas. 291 00:07:35,480 --> 00:07:36,040 OK. 292 00:07:36,040 --> 00:07:36,440 That's good. 293 00:07:36,440 --> 00:07:38,880 But actually putting them into action, that's the hard part. 294 00:07:38,880 --> 00:07:39,200 Yeah. 295 00:07:39,200 --> 00:07:40,560 It's always easier said than done. 296 00:07:40,560 --> 00:07:43,240 And I think education has a big role to play here. 297 00:07:43,240 --> 00:07:44,040 Oh, absolutely. 298 00:07:44,040 --> 00:07:44,800 On multiple levels. 299 00:07:44,800 --> 00:07:45,000 Yeah. 300 00:07:45,000 --> 00:07:47,520 Like, preparing young people for these new jobs. 301 00:07:47,520 --> 00:07:48,320 That's essential. 302 00:07:48,320 --> 00:07:50,280 But it's also about educating everyone. 303 00:07:50,280 --> 00:07:51,000 But AI. 304 00:07:51,000 --> 00:07:51,320 Yeah. 305 00:07:51,320 --> 00:07:53,440 Like, regardless of your age or job. 306 00:07:53,440 --> 00:07:55,240 So we can all understand what's happening. 307 00:07:55,240 --> 00:07:57,480 And participate in shaping the future of AI. 308 00:07:57,480 --> 00:07:59,160 It's like we need a new kind of literacy. 309 00:07:59,160 --> 00:08:00,080 AI literacy. 310 00:08:00,080 --> 00:08:00,560 I love that. 311 00:08:00,560 --> 00:08:01,520 AI literacy, yes. 312 00:08:01,520 --> 00:08:04,520 So we can be informed, engaged citizens. 313 00:08:04,520 --> 00:08:06,400 And advocates for responsible development. 314 00:08:06,400 --> 00:08:08,240 And we can start by asking questions, right? 315 00:08:08,240 --> 00:08:08,760 Absolutely. 316 00:08:08,760 --> 00:08:11,520 Like, what are the potential biases in AI? 317 00:08:11,520 --> 00:08:13,840 How do we make sure it benefits everyone? 318 00:08:13,840 --> 00:08:15,120 Those are the important questions. 319 00:08:15,120 --> 00:08:15,520 Yeah. 320 00:08:15,520 --> 00:08:16,920 And they're not easy to answer. 321 00:08:16,920 --> 00:08:18,800 No. But we have to grapple with them. 322 00:08:18,800 --> 00:08:20,880 If we want AI to make the world a better place. 323 00:08:20,880 --> 00:08:21,400 Exactly. 324 00:08:21,400 --> 00:08:22,280 That's the goal. 325 00:08:22,280 --> 00:08:24,200 And that brings us to another big question. 326 00:08:24,200 --> 00:08:24,720 What's that? 327 00:08:24,720 --> 00:08:28,200 What about the impact of AI on education itself? 328 00:08:28,200 --> 00:08:28,640 Oh, yeah. 329 00:08:28,640 --> 00:08:30,760 Like, are robots going to replace teachers? 330 00:08:30,760 --> 00:08:33,080 Will our kids be learning from algorithms? 331 00:08:33,080 --> 00:08:34,640 That's a scary thought for some people. 332 00:08:34,640 --> 00:08:34,880 Yeah. 333 00:08:34,880 --> 00:08:37,600 And Hanungo, he doesn't think human teachers are going away 334 00:08:37,600 --> 00:08:38,400 anytime soon. 335 00:08:38,400 --> 00:08:38,760 OK. 336 00:08:38,760 --> 00:08:39,680 That's good to hear. 337 00:08:39,680 --> 00:08:42,760 But he does think AI will transform education. 338 00:08:42,760 --> 00:08:44,240 So how will it change? 339 00:08:44,240 --> 00:08:47,280 Well, imagine personalized learning. 340 00:08:47,280 --> 00:08:47,760 Oh, wow. 341 00:08:47,760 --> 00:08:51,080 Where AI tailors the content to each student. 342 00:08:51,080 --> 00:08:52,720 Like a personal tutor for everyone? 343 00:08:52,720 --> 00:08:53,200 Yeah. 344 00:08:53,200 --> 00:08:54,960 And it could make education more accessible. 345 00:08:54,960 --> 00:08:56,960 To people who maybe can't go to traditional schools? 346 00:08:56,960 --> 00:08:57,600 Exactly. 347 00:08:57,600 --> 00:08:59,960 Like in remote areas or conflict zones. 348 00:08:59,960 --> 00:09:00,880 That would be amazing. 349 00:09:00,880 --> 00:09:02,680 But there are downsides too, right? 350 00:09:02,680 --> 00:09:04,360 Of course we can't forget that them an element. 351 00:09:04,360 --> 00:09:07,760 Like, teachers do so much more than just deliver information. 352 00:09:07,760 --> 00:09:09,760 They nurture critical thinking, empathy, 353 00:09:09,760 --> 00:09:11,040 all those important things. 354 00:09:11,040 --> 00:09:12,360 That AI can't replicate. 355 00:09:12,360 --> 00:09:13,240 At least not yet. 356 00:09:13,240 --> 00:09:15,400 So it's about finding that balance again. 357 00:09:15,400 --> 00:09:15,680 Right. 358 00:09:15,680 --> 00:09:17,800 Technology and humanity working together. 359 00:09:17,800 --> 00:09:19,520 And that's a theme that keeps coming up, right? 360 00:09:19,520 --> 00:09:20,120 It does, yeah. 361 00:09:20,120 --> 00:09:23,440 Like with AI and jobs, AI and education. 362 00:09:23,440 --> 00:09:25,080 It's about finding the right way 363 00:09:25,080 --> 00:09:27,000 to integrate these technologies into our lives. 364 00:09:27,000 --> 00:09:28,920 And Hanungo's final point is really important. 365 00:09:28,920 --> 00:09:29,400 What's that? 366 00:09:29,400 --> 00:09:32,280 He says AI isn't inherently good or bad. 367 00:09:32,280 --> 00:09:32,960 It's a tool. 368 00:09:32,960 --> 00:09:33,800 Exactly. 369 00:09:33,800 --> 00:09:36,120 And it's up to us to decide how we use it. 370 00:09:36,120 --> 00:09:37,480 To shape the future we want. 371 00:09:37,480 --> 00:09:40,160 So deep divers, we've covered a lot today. 372 00:09:40,160 --> 00:09:40,520 We have. 373 00:09:40,520 --> 00:09:41,400 It's been a wild ride. 374 00:09:41,400 --> 00:09:44,200 From the threats to the opportunities of AI. 375 00:09:44,200 --> 00:09:46,560 The ethical dilemmas, the philosophical questions. 376 00:09:46,560 --> 00:09:47,800 And one thing is clear. 377 00:09:47,800 --> 00:09:49,160 AI is here to stay. 378 00:09:49,160 --> 00:09:50,440 It's not science fiction anymore. 379 00:09:50,440 --> 00:09:52,200 It's already impacting our lives. 380 00:09:52,200 --> 00:09:53,800 And it's only going to become more powerful. 381 00:09:53,800 --> 00:09:55,840 So the question is, what are we going to do about it? 382 00:09:55,840 --> 00:09:58,000 How are we going to navigate this new world? 383 00:09:58,000 --> 00:09:59,920 Yeah, it does feel like we're standing on the edge 384 00:09:59,920 --> 00:10:01,440 of this massive change. 385 00:10:01,440 --> 00:10:03,000 Right, like this huge shift. 386 00:10:03,000 --> 00:10:05,360 And it's both exciting and kind of scary. 387 00:10:05,360 --> 00:10:06,160 Yeah, I get that. 388 00:10:06,160 --> 00:10:08,400 So how do we even begin to navigate this, 389 00:10:08,400 --> 00:10:11,320 this new world with AI everywhere? 390 00:10:11,320 --> 00:10:12,760 Well, I think what Humbo is saying 391 00:10:12,760 --> 00:10:15,800 is that we have more power than we think. 392 00:10:15,800 --> 00:10:18,800 It's not like this predetermined future. 393 00:10:18,800 --> 00:10:21,040 We actually get to make choices that shape it. 394 00:10:21,040 --> 00:10:23,000 So we're not just like, along for the ride. 395 00:10:23,000 --> 00:10:24,600 Nope, we're not passive passengers. 396 00:10:24,600 --> 00:10:26,120 We can actually steer the direction of it. 397 00:10:26,120 --> 00:10:26,840 Yeah, exactly. 398 00:10:26,840 --> 00:10:28,600 We can grab the wheel, so to speak. 399 00:10:28,600 --> 00:10:29,600 How do we do that? 400 00:10:29,600 --> 00:10:31,080 Like, how do we take control? 401 00:10:31,080 --> 00:10:33,920 Well, it starts with being informed. 402 00:10:33,920 --> 00:10:36,680 Like, actually understanding how AI works, what it can 403 00:10:36,680 --> 00:10:37,560 and can't do. 404 00:10:37,560 --> 00:10:39,400 So like, doing our own research. 405 00:10:39,400 --> 00:10:41,520 Yeah, and not being afraid to ask questions. 406 00:10:41,520 --> 00:10:43,520 To be critical, to think for ourselves. 407 00:10:43,520 --> 00:10:46,080 Exactly, because there's so much hype around AI. 408 00:10:46,080 --> 00:10:48,000 Yeah, it's hard to know what to believe sometimes. 409 00:10:48,000 --> 00:10:50,680 Right, so we need to develop that critical thinking. 410 00:10:50,680 --> 00:10:52,400 Like, what did you call it before? 411 00:10:52,400 --> 00:10:53,240 AI literacy? 412 00:10:53,240 --> 00:10:54,440 Yeah, AI literacy. 413 00:10:54,440 --> 00:10:56,680 We need to be able to spot the BS. 414 00:10:56,680 --> 00:11:00,560 Exactly, to separate the reel from the exaggerated claims. 415 00:11:00,560 --> 00:11:04,120 OK, so Deep Divers, we've been on this journey today with AI. 416 00:11:04,120 --> 00:11:05,320 We have, we've gone deep. 417 00:11:05,320 --> 00:11:09,440 Explored the potential job losses, the new opportunities. 418 00:11:09,440 --> 00:11:11,000 Talk about the ethical challenges, 419 00:11:11,000 --> 00:11:12,600 the philosophical questions. 420 00:11:12,600 --> 00:11:15,480 And I think we can all agree, AI is here to stay. 421 00:11:15,480 --> 00:11:16,400 It's not going anywhere. 422 00:11:16,400 --> 00:11:18,280 It's already changing the world as we know it. 423 00:11:18,280 --> 00:11:19,760 And it's likely going to get more powerful. 424 00:11:19,760 --> 00:11:22,520 So what does this mean for you listening right now? 425 00:11:22,520 --> 00:11:25,720 What can you do to get ready for this AI-powered future? 426 00:11:25,720 --> 00:11:27,360 Yeah, like, practical steps. 427 00:11:27,360 --> 00:11:28,920 Well, first of all, stay curious. 428 00:11:28,920 --> 00:11:29,420 OK. 429 00:11:29,420 --> 00:11:32,560 Keep learning, read articles, listen to podcasts like this one. 430 00:11:32,560 --> 00:11:33,280 Chainless plug. 431 00:11:33,280 --> 00:11:34,560 Maybe take some online courses. 432 00:11:34,560 --> 00:11:36,640 Yeah, there's so much information out there. 433 00:11:36,640 --> 00:11:38,080 And don't be afraid to talk about it. 434 00:11:38,080 --> 00:11:39,160 Have conversations. 435 00:11:39,160 --> 00:11:41,080 Yeah, with your friends, family, colleagues. 436 00:11:41,080 --> 00:11:42,480 Like, what do you think about all this? 437 00:11:42,480 --> 00:11:44,520 Exactly, because the more we talk about it, 438 00:11:44,520 --> 00:11:45,720 the more prepared we'll be. 439 00:11:45,720 --> 00:11:47,120 And the better choices we can make. 440 00:11:47,120 --> 00:11:49,520 So it's about taking action, not just sitting back 441 00:11:49,520 --> 00:11:50,480 and letting it happen. 442 00:11:50,480 --> 00:11:51,320 Right, we have agency. 443 00:11:51,320 --> 00:11:52,520 We can shape this future. 444 00:11:52,520 --> 00:11:55,080 And ultimately, it's about using AI for good. 445 00:11:55,080 --> 00:11:56,800 To make the world a better place. 446 00:11:56,800 --> 00:11:58,440 And on that note, Deep Divers, we've 447 00:11:58,440 --> 00:12:00,080 reached the end of our Deep Dive. 448 00:12:00,080 --> 00:12:01,880 It's been a pleasure diving deep with you. 449 00:12:01,880 --> 00:12:03,920 We hope you've learned something new today. 450 00:12:03,920 --> 00:12:06,320 And that you feel inspired to take action. 451 00:12:06,320 --> 00:12:07,320 Thanks for joining us. 452 00:12:07,320 --> 00:12:08,000 Until next time. 453 00:12:08,000 --> 00:12:37,000 Bye.