1 00:00:00,000 --> 00:00:02,600 Welcome back, everybody, to the Deep Dive. 2 00:00:02,600 --> 00:00:05,320 You know, AI is everywhere these days, right? 3 00:00:05,320 --> 00:00:07,880 But today, we're not just talking about robots 4 00:00:07,880 --> 00:00:08,880 taking over the world. 5 00:00:08,880 --> 00:00:10,480 Right, we're going way deeper than that. 6 00:00:10,480 --> 00:00:12,120 It's more like we're on this treasure hunt 7 00:00:12,120 --> 00:00:14,940 for how AI is really changing things. 8 00:00:14,940 --> 00:00:17,240 Like how we work, the art we make. 9 00:00:17,240 --> 00:00:19,600 Even how doctors diagnose diseases. 10 00:00:19,600 --> 00:00:21,560 And the clues we're following. 11 00:00:21,560 --> 00:00:24,440 Industry reports, news from the Financial Times, 12 00:00:24,440 --> 00:00:26,840 even a robot artist at Sotheby's. 13 00:00:26,840 --> 00:00:29,400 Okay, that last one is definitely intriguing, 14 00:00:29,400 --> 00:00:32,320 but let's start with a clue from the Financial Times. 15 00:00:32,320 --> 00:00:34,900 Companies are using AI, it seems, 16 00:00:34,900 --> 00:00:38,520 to solve skills gaps and keep employees from leaving. 17 00:00:38,520 --> 00:00:41,200 Sounds promising, but is it that easy? 18 00:00:41,200 --> 00:00:42,520 Well, take Johnson & Johnson. 19 00:00:42,520 --> 00:00:44,000 They've got this AI system, right? 20 00:00:44,000 --> 00:00:47,680 And it rates employees on these future-ready skills. 21 00:00:47,680 --> 00:00:48,600 Future-ready skill. 22 00:00:48,600 --> 00:00:51,720 I mean, even I's asked, can a computer really decide that? 23 00:00:51,720 --> 00:00:52,540 Exactly. 24 00:00:52,540 --> 00:00:54,120 What skills are we talking about here? 25 00:00:54,120 --> 00:00:55,740 And is an algorithm the best way 26 00:00:55,740 --> 00:00:57,600 to measure something as human as skill? 27 00:00:57,600 --> 00:00:59,160 It's like trying to, I don't know, 28 00:00:59,160 --> 00:01:01,120 measure someone's creativity with a ruler. 29 00:01:01,120 --> 00:01:04,920 And get this, this same AI is also being used 30 00:01:04,920 --> 00:01:07,200 to figure out which employees 31 00:01:07,200 --> 00:01:09,200 might be about to quit their jobs. 32 00:01:09,200 --> 00:01:10,280 Oh, wow. 33 00:01:10,280 --> 00:01:12,760 Yeah, that feels a little big brother-ish, doesn't it? 34 00:01:12,760 --> 00:01:13,600 Definitely. 35 00:01:13,600 --> 00:01:14,600 And what if it's biased? 36 00:01:14,600 --> 00:01:15,520 Oh, absolutely. 37 00:01:15,520 --> 00:01:16,760 That's a huge concern. 38 00:01:16,760 --> 00:01:19,600 There's a lot of potential for bias in these systems. 39 00:01:19,600 --> 00:01:21,320 And here's another puzzle piece. 40 00:01:21,320 --> 00:01:24,280 70% of managers, they don't want their employees 41 00:01:24,280 --> 00:01:26,160 to move to different jobs within the company. 42 00:01:26,160 --> 00:01:27,080 Really? 43 00:01:27,080 --> 00:01:28,840 70%, that's a lot. 44 00:01:28,840 --> 00:01:30,440 Yeah, it's from our research. 45 00:01:30,440 --> 00:01:32,280 Huh, I wonder why. 46 00:01:32,280 --> 00:01:35,080 If AI is supposed to help people find the perfect job, 47 00:01:35,080 --> 00:01:37,800 shouldn't managers be encouraging these moves? 48 00:01:37,800 --> 00:01:39,040 Right, it makes you think, 49 00:01:39,040 --> 00:01:40,900 are they just trying to protect their own teams, 50 00:01:40,900 --> 00:01:42,320 or is there something else going on? 51 00:01:42,320 --> 00:01:44,160 Maybe they don't trust the AI's judgment, 52 00:01:44,160 --> 00:01:45,880 or maybe there's this underlying fear 53 00:01:45,880 --> 00:01:48,640 that AI is gonna disrupt the whole power structure 54 00:01:48,640 --> 00:01:49,480 of these companies. 55 00:01:49,480 --> 00:01:50,640 Yeah, who knows? 56 00:01:50,640 --> 00:01:53,640 Okay, so we've got AI being used to evaluate skills, 57 00:01:53,640 --> 00:01:57,420 predict who's gonna quit, and even facilitate career moves. 58 00:01:57,420 --> 00:02:00,160 But at the same time, there's this resistance 59 00:02:00,160 --> 00:02:02,280 from the people who are supposed to be benefiting from it. 60 00:02:02,280 --> 00:02:04,520 It's like we're missing a piece of the puzzle here. 61 00:02:04,520 --> 00:02:05,560 We definitely are. 62 00:02:05,560 --> 00:02:08,080 To find it, maybe we need to look at a different clue. 63 00:02:08,080 --> 00:02:10,280 Yeah, let's switch gears for a second. 64 00:02:10,280 --> 00:02:13,040 What about this robot artist, I. Day? 65 00:02:13,040 --> 00:02:14,340 Oh yeah, the one whose paintings 66 00:02:14,340 --> 00:02:15,480 are being sold at Subdees. 67 00:02:15,480 --> 00:02:16,400 Exactly. 68 00:02:16,400 --> 00:02:17,400 And one of her pieces, 69 00:02:17,400 --> 00:02:20,440 a portrait of Alan Turing called AI God, 70 00:02:20,440 --> 00:02:24,800 it's estimated to sell for, get this, $180,000. 71 00:02:24,800 --> 00:02:27,880 Wow, that's more than some human artists make 72 00:02:27,880 --> 00:02:29,160 in their entire careers. 73 00:02:29,160 --> 00:02:30,000 Right. 74 00:02:30,000 --> 00:02:30,960 But here's the thing, 75 00:02:30,960 --> 00:02:34,800 I. Day uses cameras and algorithms to create her art. 76 00:02:34,800 --> 00:02:35,640 So it makes you wonder, 77 00:02:35,640 --> 00:02:39,160 where does human creativity end and AI begin? 78 00:02:39,160 --> 00:02:40,420 Right. 79 00:02:40,420 --> 00:02:43,400 Is it really art, or just a super fancy technical trick? 80 00:02:43,400 --> 00:02:44,800 It's kinda like watching a magic show. 81 00:02:44,800 --> 00:02:45,640 Yeah. 82 00:02:45,640 --> 00:02:46,460 You're impressed by the illusion, 83 00:02:46,460 --> 00:02:48,440 but you also kinda wanna know how it works. 84 00:02:48,440 --> 00:02:50,760 But in this case, the stakes are much higher. 85 00:02:50,760 --> 00:02:52,640 I mean, if a machine can create art 86 00:02:52,640 --> 00:02:54,200 that's worth that much money, 87 00:02:54,200 --> 00:02:56,040 what does it mean for human artists? 88 00:02:56,040 --> 00:02:58,440 Are we gonna see a future where museums are filled 89 00:02:58,440 --> 00:03:01,380 with AI generated art while human artists struggle 90 00:03:01,380 --> 00:03:02,640 to make a living? 91 00:03:02,640 --> 00:03:06,720 Or will AI actually inspire new forms of human creativity? 92 00:03:06,720 --> 00:03:09,120 And what about the whole concept of originality? 93 00:03:09,120 --> 00:03:09,960 Right. 94 00:03:09,960 --> 00:03:13,560 If an AI can create thousands of variations on a theme, 95 00:03:13,560 --> 00:03:17,420 does that make a human artist's unique vision less valuable? 96 00:03:17,420 --> 00:03:18,800 These are some big questions. 97 00:03:18,800 --> 00:03:19,640 Huge. 98 00:03:19,640 --> 00:03:21,120 It's not just about the future of art, 99 00:03:21,120 --> 00:03:24,160 it's about the future of human expression itself. 100 00:03:24,160 --> 00:03:25,760 We've got more clues to follow. 101 00:03:25,760 --> 00:03:28,560 AI's impact on education, for one. 102 00:03:28,560 --> 00:03:30,680 But for now, let's leave you with this puzzle. 103 00:03:30,680 --> 00:03:33,600 Is AI a tool for artistic expression, 104 00:03:33,600 --> 00:03:37,160 a threat to human artists, or something else entirely? 105 00:03:37,160 --> 00:03:39,160 It really makes you think, doesn't it? 106 00:03:39,160 --> 00:03:41,520 But AI isn't just changing the art world, 107 00:03:41,520 --> 00:03:44,460 it's also having a huge impact on things like, 108 00:03:44,460 --> 00:03:45,320 well, the energy sector, 109 00:03:45,320 --> 00:03:46,960 especially when it comes to solar power. 110 00:03:46,960 --> 00:03:47,800 Solar power. 111 00:03:47,800 --> 00:03:48,620 How so? 112 00:03:48,620 --> 00:03:50,320 Well, imagine being able to predict 113 00:03:50,320 --> 00:03:52,720 exactly how much solar energy you're gonna produce. 114 00:03:52,720 --> 00:03:55,160 Not just like a rough estimate, but down to the kilowatt. 115 00:03:55,160 --> 00:03:56,600 Wow, that would be incredible. 116 00:03:56,600 --> 00:03:58,360 And that's what AI is making possible. 117 00:03:58,360 --> 00:04:00,440 It can analyze weather patterns, 118 00:04:00,440 --> 00:04:03,320 historical energy use, even satellite images, 119 00:04:03,320 --> 00:04:05,280 to tell us exactly when and where 120 00:04:05,280 --> 00:04:07,000 the sun's gonna be shining the brightest. 121 00:04:07,000 --> 00:04:09,320 So instead of just hoping for a sunny day, 122 00:04:09,320 --> 00:04:11,600 energy companies can actually plan ahead 123 00:04:11,600 --> 00:04:13,940 and make the most of their solar farms. 124 00:04:13,940 --> 00:04:15,200 That's pretty amazing. 125 00:04:15,200 --> 00:04:16,040 Right. 126 00:04:16,040 --> 00:04:17,920 And it's not just about efficiency either. 127 00:04:17,920 --> 00:04:21,120 AI can revolutionize the entire energy grid. 128 00:04:21,120 --> 00:04:23,360 Imagine AI balancing supply and demand, 129 00:04:23,360 --> 00:04:25,440 like a conductor leading an orchestra. 130 00:04:25,440 --> 00:04:26,840 Keeping everything in sync, 131 00:04:26,840 --> 00:04:29,680 making sure there's always enough clean energy flowing. 132 00:04:29,680 --> 00:04:32,800 But wait, doesn't AI use a ton of energy itself? 133 00:04:32,800 --> 00:04:35,440 I mean, all those massive computers and algorithms. 134 00:04:35,440 --> 00:04:36,600 That's a good point. 135 00:04:36,600 --> 00:04:38,440 And you're right, training those AI models 136 00:04:38,440 --> 00:04:40,680 does take a lot of energy upfront, 137 00:04:40,680 --> 00:04:42,420 but it's an investment, you know? 138 00:04:42,420 --> 00:04:45,440 The potential benefits in terms of optimizing energy systems 139 00:04:45,440 --> 00:04:48,160 and reducing our dependence on fossil fuels, 140 00:04:48,160 --> 00:04:50,160 they outweigh those initial costs. 141 00:04:50,160 --> 00:04:51,300 So it's kinda like we're building 142 00:04:51,300 --> 00:04:53,140 a more energy efficient future, 143 00:04:53,140 --> 00:04:56,880 but the construction process itself is energy intensive. 144 00:04:56,880 --> 00:04:57,880 Okay, that makes sense. 145 00:04:57,880 --> 00:05:00,880 But we can't ignore the potential downsides of AI, right? 146 00:05:00,880 --> 00:05:02,080 Like, what about jobs? 147 00:05:02,080 --> 00:05:03,000 Oh, absolutely. 148 00:05:03,000 --> 00:05:04,160 We've all heard those stories 149 00:05:04,160 --> 00:05:06,400 about robots taking over the world. 150 00:05:06,400 --> 00:05:08,040 And while we're not quite there yet, 151 00:05:08,040 --> 00:05:10,360 AI is definitely gonna change the job market 152 00:05:10,360 --> 00:05:12,080 and in some pretty big ways. 153 00:05:12,080 --> 00:05:14,200 Yeah, it's like this game of musical chairs 154 00:05:14,200 --> 00:05:15,360 where the music keeps changing 155 00:05:15,360 --> 00:05:17,160 and some of the chairs are disappearing altogether. 156 00:05:17,160 --> 00:05:18,720 That's a perfect analogy. 157 00:05:18,720 --> 00:05:21,820 It really highlights the need for people to be adaptable, 158 00:05:21,820 --> 00:05:24,200 to keep learning new skills. 159 00:05:24,200 --> 00:05:25,600 Because the jobs of tomorrow, 160 00:05:25,600 --> 00:05:27,080 they might not even exist today. 161 00:05:27,080 --> 00:05:28,880 Right, it's not about being scared of robots, 162 00:05:28,880 --> 00:05:31,060 it's about learning to work with them. 163 00:05:31,060 --> 00:05:33,640 So let's shift gears again and talk about finance. 164 00:05:33,640 --> 00:05:37,120 Ooh, yes, finance. 165 00:05:37,120 --> 00:05:39,800 AI is making waves in the financial world, 166 00:05:39,800 --> 00:05:42,820 like with JPMorgan's index GPT. 167 00:05:42,820 --> 00:05:46,400 It's changing how investors approach thematic investing. 168 00:05:46,400 --> 00:05:47,240 Thematic investing. 169 00:05:47,240 --> 00:05:49,640 Yeah, it's basically investing in companies 170 00:05:49,640 --> 00:05:51,240 that are aligned with certain themes, 171 00:05:51,240 --> 00:05:54,280 like sustainability or artificial intelligence itself. 172 00:05:54,280 --> 00:05:55,120 Oh, I see. 173 00:05:55,120 --> 00:05:56,000 So instead of sticking 174 00:05:56,000 --> 00:05:58,560 to these old school sector classifications, 175 00:05:58,560 --> 00:06:01,920 index GPT can identify emerging trends. 176 00:06:01,920 --> 00:06:02,760 Oh, wow. 177 00:06:02,760 --> 00:06:04,180 So it's like having an AI advisor 178 00:06:04,180 --> 00:06:05,800 who tells you exactly where to put your money. 179 00:06:05,800 --> 00:06:08,000 Exactly, but it's not just picking stocks. 180 00:06:08,000 --> 00:06:11,480 AI is being used to manage risk, catch fraud, 181 00:06:11,480 --> 00:06:14,160 and even improve customer service and banking. 182 00:06:14,160 --> 00:06:16,040 Remember, Bank of America's Erika. 183 00:06:16,040 --> 00:06:18,160 Oh yeah, Erika, the virtual assistant 184 00:06:18,160 --> 00:06:20,440 that can answer millions of customer questions, 185 00:06:20,440 --> 00:06:21,520 like 2047. 186 00:06:21,520 --> 00:06:23,720 Yep, and that's just a beginning. 187 00:06:23,720 --> 00:06:25,960 AI is transforming finance, 188 00:06:25,960 --> 00:06:28,760 from loan approvals to algorithmic trading. 189 00:06:28,760 --> 00:06:32,440 It's a fast-paced world, and AI is how you keep up. 190 00:06:32,440 --> 00:06:34,760 It sounds exciting, but also a little scary. 191 00:06:34,760 --> 00:06:36,480 I mean, are we heading towards a future 192 00:06:36,480 --> 00:06:38,940 where banks are run entirely by algorithms? 193 00:06:38,940 --> 00:06:40,880 That's the million dollar question, isn't it? 194 00:06:40,880 --> 00:06:44,240 But I don't think it's a simple yes or no answer. 195 00:06:44,240 --> 00:06:46,660 AI can automate a lot of tasks, 196 00:06:46,660 --> 00:06:48,600 but it can't replace human judgment, 197 00:06:48,600 --> 00:06:51,440 intuition, or creativity, at least not yet. 198 00:06:51,440 --> 00:06:53,060 So it's all about finding the right balance, 199 00:06:53,060 --> 00:06:55,880 using AI to make us better, not replace us entirely, 200 00:06:55,880 --> 00:06:58,140 like having a co-pilot in the cockpit, 201 00:06:58,140 --> 00:06:59,560 someone who can help us navigate, 202 00:06:59,560 --> 00:07:01,320 but not take over the controls. 203 00:07:01,320 --> 00:07:03,000 It's like we've been on this whirlwind tour 204 00:07:03,000 --> 00:07:06,220 of the AI landscape, from robot artists to solar farms, 205 00:07:06,220 --> 00:07:08,440 from Wall Street algorithms to, 206 00:07:08,440 --> 00:07:10,280 well, maybe even robot doctors someday. 207 00:07:10,280 --> 00:07:11,880 Who knows what the future holds? 208 00:07:11,880 --> 00:07:12,800 But speaking of healthcare, 209 00:07:12,800 --> 00:07:15,160 that's one area where AI could really change the game. 210 00:07:15,160 --> 00:07:16,000 Oh yeah, for sure. 211 00:07:16,000 --> 00:07:17,920 I mean, think about all the potential. 212 00:07:17,920 --> 00:07:20,280 Right, like in diagnostic imaging. 213 00:07:20,280 --> 00:07:25,280 Imagine AI systems that can analyze X-rays, MRIs, CT scans. 214 00:07:26,280 --> 00:07:30,000 Way faster and more accurately than any human doctor could. 215 00:07:30,000 --> 00:07:32,240 Exactly, it's like having a second pair of eyes, 216 00:07:32,240 --> 00:07:34,240 but these eyes are powered by algorithms. 217 00:07:34,240 --> 00:07:36,280 They could spot tiny details, 218 00:07:36,280 --> 00:07:38,600 things that even the most experienced radiologist 219 00:07:38,600 --> 00:07:39,420 might miss. 220 00:07:39,420 --> 00:07:41,080 Wow, that's incredible. 221 00:07:41,080 --> 00:07:42,760 And think about what that could mean 222 00:07:42,760 --> 00:07:44,920 for people in rural areas or places 223 00:07:44,920 --> 00:07:46,400 where there aren't enough specialists. 224 00:07:46,400 --> 00:07:49,140 Absolutely, it could really democratize access 225 00:07:49,140 --> 00:07:50,120 to healthcare. 226 00:07:50,120 --> 00:07:52,600 And it's not just about speed and accuracy either. 227 00:07:52,600 --> 00:07:55,400 AI could help standardize diagnoses, 228 00:07:55,400 --> 00:07:57,640 reduce the variation between different doctors. 229 00:07:57,640 --> 00:07:59,440 So everyone's getting the same quality of care 230 00:07:59,440 --> 00:08:00,560 no matter where they live. 231 00:08:00,560 --> 00:08:01,780 That's amazing. 232 00:08:01,780 --> 00:08:03,480 But what about the human touch? 233 00:08:03,480 --> 00:08:07,800 Will doctors become obsolete in this AI-powered future? 234 00:08:07,800 --> 00:08:08,920 That's a big question, 235 00:08:08,920 --> 00:08:11,000 but I think it's more complicated than just, 236 00:08:11,000 --> 00:08:12,840 you know, robots replacing doctors. 237 00:08:12,840 --> 00:08:14,280 Yeah, it's not like AI can just step in 238 00:08:14,280 --> 00:08:15,480 and do everything a doctor does. 239 00:08:15,480 --> 00:08:18,840 Right, AI can be a powerful tool for diagnosis, 240 00:08:18,840 --> 00:08:21,020 but it can't replace a doctor's judgment, 241 00:08:21,020 --> 00:08:23,820 their intuition, their ability to connect with patients. 242 00:08:23,820 --> 00:08:26,440 It's like AI can provide the data, 243 00:08:26,440 --> 00:08:28,920 but the human doctor still needs to interpret it, 244 00:08:28,920 --> 00:08:31,560 consider the patient's individual circumstances, 245 00:08:31,560 --> 00:08:33,920 and ultimately make the best decision for their care. 246 00:08:33,920 --> 00:08:35,480 Exactly, a partnership. 247 00:08:35,480 --> 00:08:37,480 Like having a co-pilot in the cockpit. 248 00:08:37,480 --> 00:08:38,880 But even with that partnership, 249 00:08:38,880 --> 00:08:41,840 there are still some big ethical questions to grapple with. 250 00:08:41,840 --> 00:08:42,680 Oh, for sure. 251 00:08:42,680 --> 00:08:45,200 Like who's responsible if an AI makes a mistake, 252 00:08:45,200 --> 00:08:47,640 and how do we make sure that AI is used fairly 253 00:08:47,640 --> 00:08:50,760 so that everyone benefits, not just a select few? 254 00:08:50,760 --> 00:08:52,400 These are crucial questions. 255 00:08:52,400 --> 00:08:54,680 We can't just blindly embrace AI 256 00:08:54,680 --> 00:08:57,480 without thinking about the potential consequences, 257 00:08:57,480 --> 00:09:00,300 but we also can't afford to ignore 258 00:09:00,300 --> 00:09:02,040 the incredible potential it has 259 00:09:02,040 --> 00:09:04,040 to improve healthcare for everyone. 260 00:09:04,040 --> 00:09:05,240 It's a delicate balance. 261 00:09:05,240 --> 00:09:06,080 Yeah. 262 00:09:06,080 --> 00:09:09,880 And I'm hopeful that we can find a way to use AI for good, 263 00:09:09,880 --> 00:09:11,240 while still protecting our values 264 00:09:11,240 --> 00:09:13,620 and making sure healthcare stays focused on people. 265 00:09:13,620 --> 00:09:14,520 I agree. 266 00:09:14,520 --> 00:09:16,480 And I think the key is to approach AI 267 00:09:16,480 --> 00:09:19,120 with a sense of curiosity, humility, 268 00:09:19,120 --> 00:09:21,400 and a willingness to have open and honest conversations 269 00:09:21,400 --> 00:09:23,680 about the challenges and opportunities that come with it. 270 00:09:23,680 --> 00:09:26,640 And that's exactly what we've tried to do in this deep dive. 271 00:09:26,640 --> 00:09:29,040 We've explored the many sides of AI, 272 00:09:29,040 --> 00:09:30,720 the exciting parts, the scary parts, 273 00:09:30,720 --> 00:09:32,160 the practical applications, 274 00:09:32,160 --> 00:09:33,920 the big philosophical questions. 275 00:09:33,920 --> 00:09:36,600 We've seen how AI is impacting the way we work, 276 00:09:36,600 --> 00:09:39,320 the way we create, how we invest our money, 277 00:09:39,320 --> 00:09:42,320 power our homes, and even receive medical care. 278 00:09:42,320 --> 00:09:44,000 It's a journey that's just getting started 279 00:09:44,000 --> 00:09:45,840 and we're all on it together. 280 00:09:45,840 --> 00:09:49,020 So as we wrap up this deep dive, we wanna hear from you. 281 00:09:49,020 --> 00:09:51,240 What insights struck a chord with you? 282 00:09:51,240 --> 00:09:53,440 What questions are you still pondering? 283 00:09:53,440 --> 00:09:57,040 What hopes and fears do you have about the future of AI? 284 00:09:57,040 --> 00:09:59,960 Keep exploring, keep asking those tough questions 285 00:09:59,960 --> 00:10:01,640 and share your thoughts, 286 00:10:01,640 --> 00:10:03,240 because the future of AI isn't something 287 00:10:03,240 --> 00:10:04,320 that's just happening to us, 288 00:10:04,320 --> 00:10:33,320 it's something we're all creating together.