1 00:00:01,333 --> 00:00:03,200 welcome to money is freedom 2 00:00:03,200 --> 00:00:04,133 a podcast 3 00:00:04,133 --> 00:00:07,266 exploring how finance and freedom connect in our lives 4 00:00:08,233 --> 00:00:10,100 created from thoughtful research 5 00:00:10,100 --> 00:00:12,466 and narrated by Notebook LM AI 6 00:00:12,566 --> 00:00:14,500 this series brings you clear 7 00:00:14,500 --> 00:00:17,200 meaningful insights into finance and beyond 8 00:00:17,366 --> 00:00:21,166 welcome to Episode 7 Today on Election Day 9 00:00:21,166 --> 00:00:23,566 we're shifting gears to explore a topic 10 00:00:23,566 --> 00:00:25,800 reshaping Industries Worldwide 11 00:00:25,800 --> 00:00:28,700 Artificial Intelligence in this episode 12 00:00:28,700 --> 00:00:32,333 we'll dive into the latest insights from the 2024 AGM 13 00:00:32,333 --> 00:00:36,333 Maritec Market Report narrated by Notebook LM AI 14 00:00:37,000 --> 00:00:39,200 this report reveals AI's profound 15 00:00:39,200 --> 00:00:41,400 impact on public and private markets 16 00:00:41,400 --> 00:00:44,033 its transformative potential and software 17 00:00:44,133 --> 00:00:45,600 and what it means for businesses 18 00:00:45,600 --> 00:00:47,466 navigating this new landscape 19 00:00:47,966 --> 00:00:50,566 so take a break from the election buzz 20 00:00:50,566 --> 00:00:53,200 and join us for a look at the future of AI 21 00:00:53,200 --> 00:00:55,266 and its role in reshaping the market 22 00:00:55,300 --> 00:00:57,900 welcome back everyone we're diving deep today 23 00:00:57,933 --> 00:01:00,933 into how artificial intelligence is transforming 24 00:01:00,933 --> 00:01:03,733 the world of software sounds pretty complex 25 00:01:03,733 --> 00:01:06,100 it is but it's also incredibly exciting 26 00:01:06,100 --> 00:01:07,433 you know we've got market analysis 27 00:01:07,433 --> 00:01:09,400 investment trends oh wow 28 00:01:09,400 --> 00:01:10,433 and some really interesting 29 00:01:10,433 --> 00:01:12,533 expert predictions to unpack today okay 30 00:01:12,533 --> 00:01:13,566 sounds good yeah 31 00:01:13,566 --> 00:01:15,233 we're gonna try to answer some big questions too 32 00:01:15,233 --> 00:01:19,000 like what what is AI actually living up to all the hype 33 00:01:19,000 --> 00:01:21,433 yeah is it all just hype or exactly yeah 34 00:01:21,433 --> 00:01:23,700 or is it a real game changer right 35 00:01:23,700 --> 00:01:26,366 and you know we'll look at our startups 36 00:01:26,366 --> 00:01:28,933 actually challenging the big players in this space yeah 37 00:01:28,933 --> 00:01:31,233 that's a good one and ultimately 38 00:01:31,233 --> 00:01:33,233 and this is the most important part okay 39 00:01:33,433 --> 00:01:35,233 what does this all mean for you 40 00:01:35,366 --> 00:01:38,200 you know regardless of whether you're a tech expert 41 00:01:38,200 --> 00:01:40,633 right or just someone who uses software every day 42 00:01:40,633 --> 00:01:41,600 yeah that's a big one 43 00:01:41,600 --> 00:01:43,133 I think it's something everyone wants to know 44 00:01:43,133 --> 00:01:45,433 exactly what does this actually mean for me 45 00:01:45,433 --> 00:01:46,666 exactly yeah 46 00:01:46,833 --> 00:01:50,533 so to kick things off one thing that's really striking 47 00:01:50,533 --> 00:01:51,133 is that 48 00:01:51,133 --> 00:01:53,500 we're not just talking about incremental changes here 49 00:01:53,500 --> 00:01:56,166 the research really suggests that AI 50 00:01:56,166 --> 00:02:00,433 is gonna completely redefine how software is made wow 51 00:02:00,433 --> 00:02:03,200 how it's marketed and even how we use it yeah 52 00:02:03,200 --> 00:02:05,333 it feels like change is happening so fast 53 00:02:05,333 --> 00:02:07,500 it really is and the data backs it up 54 00:02:07,500 --> 00:02:08,933 oh how so 55 00:02:08,933 --> 00:02:09,966 well just look at this 56 00:02:09,966 --> 00:02:12,000 nine tech and AI companies 57 00:02:12,000 --> 00:02:15,500 just nine I count for 34% 58 00:02:15,533 --> 00:02:18,433 why of the entire SMP 5 hundreds marketcap 59 00:02:18,500 --> 00:02:20,433 that's a huge chunk it is 60 00:02:20,433 --> 00:02:22,400 it's massive and get this okay 61 00:02:22,400 --> 00:02:23,966 there's actually data showing that 62 00:02:23,966 --> 00:02:27,333 just by mentioning AI during earnings calls 63 00:02:27,366 --> 00:02:28,800 like name dropping it yeah 64 00:02:28,800 --> 00:02:31,233 basically companies are seeing their stock prices go up 65 00:02:31,233 --> 00:02:32,100 oh wow 66 00:02:32,100 --> 00:02:33,733 so the markets really paying attention 67 00:02:33,733 --> 00:02:35,733 they are laser focused on AI 68 00:02:35,733 --> 00:02:36,966 that's interesting 69 00:02:36,966 --> 00:02:38,900 but here's where things get a little more interesting 70 00:02:38,900 --> 00:02:40,900 okay when we look at the private markets for like 71 00:02:40,900 --> 00:02:42,166 venture capital and stuff 72 00:02:42,166 --> 00:02:44,833 exactly we see a bit of a different story hmm 73 00:02:44,833 --> 00:02:45,833 venture capital funding 74 00:02:45,833 --> 00:02:48,433 it's actually remained pretty strong okay 75 00:02:48,433 --> 00:02:52,100 and AI is attracting a huge chunk of that funding 76 00:02:52,100 --> 00:02:53,800 so there's still a lot of confidence there 77 00:02:53,800 --> 00:02:54,633 oh absolutely 78 00:02:54,633 --> 00:02:55,500 in fact okay 79 00:02:55,500 --> 00:02:58,100 almost half of all new unicorns 80 00:02:58,100 --> 00:03:00,900 unicorns meeting those billion dollars startups right 81 00:03:00,900 --> 00:03:01,500 right yeah 82 00:03:01,500 --> 00:03:03,766 almost half of them are AI focused 83 00:03:03,766 --> 00:03:06,933 wow so investors are still pouring money into AI 84 00:03:06,933 --> 00:03:09,333 they are but there's a paradox 85 00:03:09,333 --> 00:03:10,400 oh what's that 86 00:03:10,633 --> 00:03:14,966 the number of tech ipos so companies going public 87 00:03:14,966 --> 00:03:17,733 right has actually plummeted to a 15 year low 88 00:03:17,733 --> 00:03:18,700 oh wow 89 00:03:18,700 --> 00:03:20,500 that doesn't sound good it's interesting right 90 00:03:20,500 --> 00:03:21,233 it's like 91 00:03:21,233 --> 00:03:25,500 investors are happy to fuel these AI ventures early on 92 00:03:25,500 --> 00:03:27,533 right but they're hesitant 93 00:03:27,533 --> 00:03:30,433 to fully commit when it comes to the public markets 94 00:03:30,433 --> 00:03:32,600 so maybe some doubts are creeping in 95 00:03:32,633 --> 00:03:33,833 it's possible yeah 96 00:03:33,833 --> 00:03:34,900 that makes sense yeah 97 00:03:34,900 --> 00:03:36,733 you know there are concerns about regulations 98 00:03:36,733 --> 00:03:38,866 about market volatility 99 00:03:39,133 --> 00:03:41,033 and maybe some are worried that the AI 100 00:03:41,033 --> 00:03:42,400 hype is a little overblown 101 00:03:42,400 --> 00:03:43,733 yeah I could see that 102 00:03:43,733 --> 00:03:46,133 so it's a dynamic landscape for sure definitely 103 00:03:46,133 --> 00:03:46,733 but you know 104 00:03:46,733 --> 00:03:48,166 despite all that uncertainty 105 00:03:48,166 --> 00:03:50,966 yeah a lot of experts are saying that AI 106 00:03:50,966 --> 00:03:54,100 is the next big wave of innovation 107 00:03:54,100 --> 00:03:57,400 bigger than the cloud like even bigger than that 108 00:03:57,400 --> 00:03:58,300 they're actually saying 109 00:03:58,300 --> 00:04:00,500 it could be even bigger than cloud computing 110 00:04:00,500 --> 00:04:01,533 wow okay 111 00:04:01,533 --> 00:04:03,233 so what's making them so confident 112 00:04:03,500 --> 00:04:03,733 well 113 00:04:03,733 --> 00:04:06,566 I think it comes down to this sheer scale of what AI 114 00:04:06,566 --> 00:04:07,633 can do oh okay 115 00:04:07,633 --> 00:04:08,766 what do you mean by that well 116 00:04:08,766 --> 00:04:10,933 it's not just about automating tasks 117 00:04:10,933 --> 00:04:11,566 you know right 118 00:04:11,566 --> 00:04:15,066 it's about completely new ways of doing business 119 00:04:15,300 --> 00:04:18,933 hmm like one of the most interesting ideas is this 120 00:04:18,966 --> 00:04:21,200 concept of services software 121 00:04:21,200 --> 00:04:23,733 services software I haven't heard that one before 122 00:04:23,733 --> 00:04:25,000 it's pretty wild basically 123 00:04:25,000 --> 00:04:27,100 the idea is that AI agents 124 00:04:27,166 --> 00:04:29,233 AI agents like a little AI worker yeah 125 00:04:29,233 --> 00:04:30,966 basically they can act independently 126 00:04:30,966 --> 00:04:34,366 so without us even needing to tell them what to do 127 00:04:34,366 --> 00:04:36,500 exactly they can complete tasks 128 00:04:36,500 --> 00:04:39,000 without us needing to interact with software directly 129 00:04:39,000 --> 00:04:42,600 so like no more clicking around in apps or websites 130 00:04:42,600 --> 00:04:43,566 potentially yeah 131 00:04:43,566 --> 00:04:46,233 it's like imagine your AI handling things like 132 00:04:46,233 --> 00:04:48,400 let me guess booking travel 133 00:04:48,433 --> 00:04:49,166 yes exactly 134 00:04:49,166 --> 00:04:50,733 or managing investment yes 135 00:04:50,733 --> 00:04:52,466 even composing emails 136 00:04:52,566 --> 00:04:54,533 all without you ever opening an app 137 00:04:54,933 --> 00:04:57,033 that's kind of mind blowing when you think about it 138 00:04:57,033 --> 00:04:57,700 it is 139 00:04:57,700 --> 00:05:00,100 and here's another key difference from cloud computing 140 00:05:00,100 --> 00:05:01,333 okay remember how 141 00:05:01,333 --> 00:05:03,566 there's a lot of resistance to cloud computing 142 00:05:03,566 --> 00:05:04,533 early on yeah 143 00:05:04,533 --> 00:05:06,566 people were skeptical exactly 144 00:05:06,566 --> 00:05:09,966 but with AI it's almost the opposite really 145 00:05:09,966 --> 00:05:12,333 it's being embraced across pretty much every industry 146 00:05:12,333 --> 00:05:14,966 so companies are really buying into this 147 00:05:14,966 --> 00:05:18,566 they are they see it as a way to streamline operations 148 00:05:18,566 --> 00:05:19,833 make things more efficient 149 00:05:19,833 --> 00:05:21,366 cut costs of course 150 00:05:21,366 --> 00:05:21,800 right 151 00:05:21,800 --> 00:05:25,233 but also to create entirely new products and services 152 00:05:25,233 --> 00:05:27,966 so it's not just about doing the old things better 153 00:05:27,966 --> 00:05:30,000 it's about doing completely new things 154 00:05:30,000 --> 00:05:31,433 exactly that's pretty exciting 155 00:05:31,433 --> 00:05:32,533 it is but 156 00:05:32,533 --> 00:05:33,966 let's talk about what this means 157 00:05:33,966 --> 00:05:35,966 for existing software companies okay 158 00:05:35,966 --> 00:05:37,833 especially those sauce companies right 159 00:05:37,833 --> 00:05:39,600 yeah the software is a service companies 160 00:05:39,600 --> 00:05:42,966 yeah seems like they might be in for some big changes 161 00:05:42,966 --> 00:05:44,600 definitely could be a real shake up 162 00:05:44,600 --> 00:05:46,366 how so we'll think about it 163 00:05:46,366 --> 00:05:48,333 okay their traditional strength 164 00:05:48,733 --> 00:05:51,733 things like having a really user friendly interface 165 00:05:51,733 --> 00:05:53,433 right make it easy to use 166 00:05:53,433 --> 00:05:55,900 and high switching costs yeah 167 00:05:55,900 --> 00:05:57,600 making it hard for customers to leave 168 00:05:57,600 --> 00:05:59,100 yeah that lock in effect 169 00:05:59,100 --> 00:06:01,966 those might become less important as AI 170 00:06:01,966 --> 00:06:04,000 takes on more complex tasks 171 00:06:04,033 --> 00:06:07,166 so their old advantages might not work as well anymore 172 00:06:07,166 --> 00:06:08,933 exactly hmm 173 00:06:08,933 --> 00:06:10,500 that sounds like bad news for them 174 00:06:10,500 --> 00:06:13,100 it could be but it's not all dooming gloom 175 00:06:13,433 --> 00:06:16,733 oh while there are definitely challenges yeah 176 00:06:16,733 --> 00:06:19,200 the overall market for software 177 00:06:19,200 --> 00:06:21,233 is actually projected to explode 178 00:06:21,233 --> 00:06:23,133 thanks to AI oh interesting 179 00:06:23,133 --> 00:06:25,700 so a bigger pie overall exactly 180 00:06:25,700 --> 00:06:25,900 you know 181 00:06:25,900 --> 00:06:29,966 AI's ability to automate tasks and create new services 182 00:06:29,966 --> 00:06:32,500 yeah it's opening up a ton of new possibilities 183 00:06:32,500 --> 00:06:34,900 so there's still a lot of opportunity out there 184 00:06:34,900 --> 00:06:37,233 tons of it's also like a modern day gold rush 185 00:06:37,233 --> 00:06:38,600 I like that analogy yeah 186 00:06:38,600 --> 00:06:40,666 there will be winners and losers sure 187 00:06:40,933 --> 00:06:43,366 but the overall market is gonna grow like crazy 188 00:06:43,366 --> 00:06:46,133 so the key is to be on the right side of that growth 189 00:06:46,133 --> 00:06:48,533 exactly and that's where things get really interesting 190 00:06:48,533 --> 00:06:49,566 okay tell me more 191 00:06:49,566 --> 00:06:52,200 because you have these established giants right 192 00:06:52,200 --> 00:06:53,400 like well 193 00:06:53,400 --> 00:06:55,233 think about a company like Adobe right 194 00:06:55,233 --> 00:06:56,800 the creative software exactly 195 00:06:56,800 --> 00:06:59,700 they successfully navigated the transition to the cloud 196 00:06:59,700 --> 00:07:01,166 yeah they did a good job with that 197 00:07:01,166 --> 00:07:04,566 and now they're well positioned to adapt to AI 198 00:07:04,566 --> 00:07:06,233 makes sense they have the resources 199 00:07:06,233 --> 00:07:07,966 exactly but on the other hand 200 00:07:07,966 --> 00:07:10,500 yeah you have all these super agile 201 00:07:10,500 --> 00:07:13,066 ambitious startups like the up incomers 202 00:07:13,133 --> 00:07:16,200 yeah and they're building their entire foundation on AI 203 00:07:16,200 --> 00:07:18,433 from the get go they don't have all that baggage 204 00:07:18,433 --> 00:07:21,166 no legacy systems no old ways of doing things 205 00:07:21,166 --> 00:07:22,866 that could be a huge advantage 206 00:07:23,000 --> 00:07:25,066 it could so the question is 207 00:07:25,166 --> 00:07:26,700 the Giants are the disruptors 208 00:07:26,700 --> 00:07:30,533 exactly who comes out on top in this AI powered world 209 00:07:30,700 --> 00:07:32,100 that's a tough one to call 210 00:07:32,100 --> 00:07:34,766 it is and it makes things really exciting 211 00:07:34,766 --> 00:07:36,333 I bet you know because 212 00:07:36,333 --> 00:07:39,400 some sources are predicting that certain companies okay 213 00:07:39,400 --> 00:07:41,733 they're gonna achieve record breaking profits 214 00:07:41,733 --> 00:07:44,000 yeah thanks to AI wow 215 00:07:44,000 --> 00:07:46,700 while others while others might struggle to survive 216 00:07:46,700 --> 00:07:49,300 so the stakes are high incredibly high 217 00:07:49,500 --> 00:07:51,833 and there's this massive pool of investment 218 00:07:51,833 --> 00:07:53,433 capital waiting to be deployed 219 00:07:53,433 --> 00:07:55,500 like a powder keg yeah 220 00:07:55,500 --> 00:07:57,933 and the question is where is it all gonna go exactly 221 00:07:57,933 --> 00:08:00,766 who's gonna benefit most from this AI revolution 222 00:08:00,766 --> 00:08:02,233 that's what investors are trying to figure out 223 00:08:02,233 --> 00:08:02,933 right now yeah 224 00:08:02,933 --> 00:08:05,366 exactly and they need to be smart yeah 225 00:08:05,366 --> 00:08:07,966 it's not just about jumping on the AI bandwagon right 226 00:08:07,966 --> 00:08:09,933 it's about identifying those companies 227 00:08:09,933 --> 00:08:12,333 that are truly harnessing AI's potential 228 00:08:12,333 --> 00:08:13,766 the real deal exactly 229 00:08:13,766 --> 00:08:14,300 that makes sense 230 00:08:14,300 --> 00:08:17,333 so it's not just about any company that mentions AI 231 00:08:17,333 --> 00:08:19,500 right it's about the ones that are really using it 232 00:08:19,500 --> 00:08:20,966 in a meaningful way right 233 00:08:20,966 --> 00:08:22,400 and figuring that out yeah 234 00:08:22,400 --> 00:08:24,000 that's gonna be key for investment totally 235 00:08:24,000 --> 00:08:26,566 it sounds like a lot of research is gonna be needed 236 00:08:26,566 --> 00:08:28,966 absolutely to separate the wheat from the chaff 237 00:08:28,966 --> 00:08:30,366 couldn't have said it better myself 238 00:08:30,366 --> 00:08:31,133 well there you go 239 00:08:31,133 --> 00:08:33,100 but you know what let's zoom out for a second okay 240 00:08:33,100 --> 00:08:36,000 because we've talked about the excitement competition 241 00:08:36,000 --> 00:08:38,000 the potential rewards yeah 242 00:08:38,000 --> 00:08:39,566 but let's think about the bigger picture 243 00:08:39,566 --> 00:08:41,600 like the real world impact 244 00:08:41,600 --> 00:08:45,433 exactly how is AI actually gonna affect our lives 245 00:08:45,433 --> 00:08:47,200 yeah that's the big question 246 00:08:47,200 --> 00:08:49,133 it is and the prediction okay 247 00:08:49,133 --> 00:08:50,933 is that AI is gonna become 248 00:08:50,933 --> 00:08:55,133 so integrated into almost every aspect of software wow 249 00:08:55,133 --> 00:08:57,700 that it's gonna redefine industries 250 00:08:57,966 --> 00:08:59,833 and create entirely new ones 251 00:08:59,833 --> 00:09:01,733 like we can't even imagine yet 252 00:09:01,833 --> 00:09:04,100 it's hard to fathom but think about this 253 00:09:04,400 --> 00:09:06,200 imagine a world where 254 00:09:06,233 --> 00:09:09,833 outcome based services become the norm 255 00:09:09,833 --> 00:09:11,566 outcome based what does that mean 256 00:09:11,566 --> 00:09:13,766 so instead of buying software right 257 00:09:13,766 --> 00:09:17,133 you're buying the specific result that the software 258 00:09:17,166 --> 00:09:19,833 powered by AI can deliver hmm 259 00:09:19,833 --> 00:09:22,100 I'm not sure I follow okay 260 00:09:22,100 --> 00:09:23,933 let's see your small business owner okay 261 00:09:23,933 --> 00:09:25,500 you could subscribe to an AI 262 00:09:25,500 --> 00:09:27,433 service that manages your inventory 263 00:09:27,433 --> 00:09:28,400 oh okay 264 00:09:28,400 --> 00:09:31,333 handles your marketing even does customer service wow 265 00:09:31,333 --> 00:09:33,700 all automatic all power by AI 266 00:09:33,700 --> 00:09:35,933 leaving you free to focus on the bigger picture 267 00:09:35,933 --> 00:09:39,633 so the AI is handling the day to day stuff exactly 268 00:09:39,633 --> 00:09:42,966 that's pretty amazing or imagine needing legal advice 269 00:09:42,966 --> 00:09:45,533 okay instead of hiring a lawyer and paying hourly 270 00:09:45,533 --> 00:09:47,366 yeah you could subscribe to an AI 271 00:09:47,366 --> 00:09:49,766 legal service that guarantees a specific outcome 272 00:09:49,766 --> 00:09:51,166 like winning a case yeah 273 00:09:51,166 --> 00:09:53,366 or successfully negotiating a contract 274 00:09:53,366 --> 00:09:55,033 so you're paying for the result exactly 275 00:09:55,033 --> 00:09:57,933 it's not just about making things faster or cheaper 276 00:09:57,933 --> 00:10:00,000 right it's about fundamentally changing 277 00:10:00,000 --> 00:10:01,633 how we interact with technology 278 00:10:01,633 --> 00:10:03,966 and achieve our goals that's a huge shift 279 00:10:03,966 --> 00:10:04,733 it is yeah 280 00:10:04,733 --> 00:10:08,666 and the potential economic impact of this shift yeah 281 00:10:08,966 --> 00:10:10,300 it's predicted to be 282 00:10:10,300 --> 00:10:12,366 even greater than that of cloud computing 283 00:10:12,366 --> 00:10:14,133 wow that's saying something 284 00:10:14,133 --> 00:10:16,033 it is especially as AI 285 00:10:16,033 --> 00:10:17,966 expands into more service sectors 286 00:10:17,966 --> 00:10:19,933 and automates even more tasks 287 00:10:20,533 --> 00:10:21,833 this is all really fascinating 288 00:10:21,833 --> 00:10:24,533 but I have to admit it's also a little overwhelming 289 00:10:24,533 --> 00:10:25,966 I get it it's a lot to take in 290 00:10:25,966 --> 00:10:28,300 and we haven't even teached on the potential downsides 291 00:10:28,300 --> 00:10:29,766 right like what could go wrong 292 00:10:29,766 --> 00:10:31,500 well that's a conversation for another time okay 293 00:10:31,500 --> 00:10:32,733 so stay tuned exactly 294 00:10:32,733 --> 00:10:34,166 because we're gonna delve into those challenges 295 00:10:34,166 --> 00:10:35,633 in the next part of our deep dive 296 00:10:35,633 --> 00:10:36,833 looking forward to it me too 297 00:10:36,833 --> 00:10:39,000 it's gonna be a good one I bet 298 00:10:39,100 --> 00:10:40,500 so make sure you come back for that 299 00:10:40,500 --> 00:10:41,933 can't wait awesome 300 00:10:42,300 --> 00:10:45,566 so we've explored how AI 301 00:10:45,566 --> 00:10:49,500 has the potential to really revolutionize software 302 00:10:49,500 --> 00:10:50,166 right yeah 303 00:10:50,166 --> 00:10:51,533 create new markets 304 00:10:51,600 --> 00:10:54,400 even disrupt those traditional businesses exactly 305 00:10:54,400 --> 00:10:56,300 but we also talked about you know 306 00:10:56,300 --> 00:10:57,433 feed for guidelines yeah 307 00:10:57,433 --> 00:11:00,000 ethical guidelines and those safeguards right 308 00:11:00,000 --> 00:11:03,300 because AI is becoming so integrated into our lives 309 00:11:03,300 --> 00:11:05,200 it is and now in this part 310 00:11:05,200 --> 00:11:07,966 okay let's shift gears a bit and look ahead 311 00:11:07,966 --> 00:11:10,333 the future exactly yeah 312 00:11:10,333 --> 00:11:13,366 what might the world actually look like 313 00:11:13,366 --> 00:11:15,333 as AI continues to evolve 314 00:11:15,333 --> 00:11:17,633 that's the million dollar question 315 00:11:17,833 --> 00:11:21,433 it is it's both exciting and maybe a little bit scary 316 00:11:21,433 --> 00:11:24,233 you know definitely there are a lot of unknowns 317 00:11:24,333 --> 00:11:27,100 there are but one thing we need to consider 318 00:11:27,100 --> 00:11:29,900 yeah is the potential downsides right 319 00:11:29,900 --> 00:11:31,733 we can't just focus on the positive 320 00:11:31,733 --> 00:11:32,433 we can't 321 00:11:32,433 --> 00:11:35,200 and one of the biggest concerns is the future of work 322 00:11:35,200 --> 00:11:36,433 jobs yeah 323 00:11:36,433 --> 00:11:37,633 exactly yeah 324 00:11:37,633 --> 00:11:40,133 you know as AI becomes more sophisticated 325 00:11:40,400 --> 00:11:41,833 there's this fear that it's gonna 326 00:11:41,833 --> 00:11:44,633 automate a lot of the jobs that humans currently do 327 00:11:44,633 --> 00:11:47,033 yeah I've heard a lot of people talking about that 328 00:11:47,100 --> 00:11:48,533 it's a valid concern you know 329 00:11:48,533 --> 00:11:50,733 people are worried about losing their jobs to robots 330 00:11:50,733 --> 00:11:52,600 right it's understandable 331 00:11:52,633 --> 00:11:53,433 it is but 332 00:11:53,433 --> 00:11:54,433 I think it's important to 333 00:11:54,433 --> 00:11:56,566 approach this with a balanced perspective okay 334 00:11:56,566 --> 00:11:57,733 what do you mean well 335 00:11:57,733 --> 00:12:00,366 while some jobs will definitely be automated yeah 336 00:12:00,366 --> 00:12:02,566 AI is also gonna create new jobs 337 00:12:02,566 --> 00:12:04,533 and transform existing ones 338 00:12:04,600 --> 00:12:06,366 so it's not all doom and gloom 339 00:12:06,366 --> 00:12:09,633 not at all I think the key is gonna be adaptation 340 00:12:09,633 --> 00:12:10,366 adaptation yeah 341 00:12:10,366 --> 00:12:13,833 you know being willing to learn new skills okay 342 00:12:13,833 --> 00:12:16,900 so like what kind of skills are we talking about 343 00:12:17,000 --> 00:12:20,100 well skills that are gonna be in demand in an AI 344 00:12:20,100 --> 00:12:21,366 driven world right 345 00:12:21,366 --> 00:12:23,333 because the job markets gonna look different 346 00:12:23,333 --> 00:12:24,766 it is so we need to be prepared 347 00:12:24,766 --> 00:12:26,500 make sense and you know what's interesting 348 00:12:26,533 --> 00:12:29,600 a lot of experts are saying that those 349 00:12:30,800 --> 00:12:33,366 uniquely human skills okay 350 00:12:33,366 --> 00:12:36,133 the ones that AI can't replicate like what 351 00:12:36,133 --> 00:12:37,600 things like critical thinking 352 00:12:37,600 --> 00:12:40,033 complex problem solving right 353 00:12:40,033 --> 00:12:42,000 creativity emotional intelligence 354 00:12:42,000 --> 00:12:43,766 yeah those are hard to teach a machine 355 00:12:43,766 --> 00:12:45,000 they are and those are 356 00:12:45,000 --> 00:12:45,566 the skills that 357 00:12:45,566 --> 00:12:47,700 are gonna be even more valuable in the future 358 00:12:47,700 --> 00:12:50,200 so it's not just about robots taking over 359 00:12:50,200 --> 00:12:53,633 no it's more about humans and AI working together 360 00:12:53,633 --> 00:12:55,033 collaboration exactly 361 00:12:55,033 --> 00:12:56,700 in new and innovative ways 362 00:12:56,700 --> 00:12:57,766 that's a good way to put it 363 00:12:57,766 --> 00:13:00,033 but beyond job skills right 364 00:13:00,033 --> 00:13:03,700 there are brighter societal implications to consider 365 00:13:03,933 --> 00:13:04,633 oh right 366 00:13:04,633 --> 00:13:05,900 like the big picture stuff 367 00:13:05,900 --> 00:13:09,233 yeah because as AI gets more integrated into our lives 368 00:13:09,233 --> 00:13:10,033 uh huh 369 00:13:10,100 --> 00:13:12,200 we need to make sure it's being developed and used 370 00:13:12,200 --> 00:13:14,200 responsibly responsibly yeah 371 00:13:14,200 --> 00:13:15,300 that's key it is 372 00:13:15,300 --> 00:13:18,300 so it's not just about the technology itself right 373 00:13:18,300 --> 00:13:21,500 it's about creating a framework for its ethical use 374 00:13:21,500 --> 00:13:23,966 so like rules and guidelines exactly 375 00:13:23,966 --> 00:13:27,600 for example we need to be really careful about bias 376 00:13:27,966 --> 00:13:31,366 and AI algorithms bias hmm 377 00:13:31,366 --> 00:13:32,766 how does that work well 378 00:13:32,766 --> 00:13:37,000 if an AI system is trained on biased data okay 379 00:13:37,133 --> 00:13:40,433 it can actually perpetuate and amplify those biases 380 00:13:40,433 --> 00:13:40,933 oh wow 381 00:13:40,933 --> 00:13:42,633 that's not good it's not 382 00:13:42,633 --> 00:13:44,666 it can lead to unfair outcomes 383 00:13:44,733 --> 00:13:45,100 you know 384 00:13:45,100 --> 00:13:47,566 so like discriminating against certain groups of people 385 00:13:47,566 --> 00:13:48,100 exactly 386 00:13:48,100 --> 00:13:50,466 and we've already seen real world examples of this 387 00:13:50,566 --> 00:13:51,166 oh really 388 00:13:51,166 --> 00:13:53,000 well like in hiring processes 389 00:13:53,000 --> 00:13:54,633 loan applications oh wow 390 00:13:54,633 --> 00:13:57,533 so AI was making biased decisions in some cases 391 00:13:57,533 --> 00:13:59,800 yes and that's why it's so important to have clear 392 00:13:59,800 --> 00:14:00,833 guidelines right 393 00:14:00,833 --> 00:14:02,566 regulations to make sure AI 394 00:14:02,566 --> 00:14:04,800 is used fairly and ethically 395 00:14:04,833 --> 00:14:07,200 and who's responsible for creating those guidelines 396 00:14:07,200 --> 00:14:08,733 well it's gonna take a lot of collaboration 397 00:14:08,733 --> 00:14:09,566 a collaboration yeah 398 00:14:09,566 --> 00:14:11,333 between governments industry leaders 399 00:14:11,333 --> 00:14:12,100 researchers 400 00:14:12,100 --> 00:14:14,466 so a lot of different stakeholders need to be involved 401 00:14:14,766 --> 00:14:15,300 absolutely 402 00:14:15,300 --> 00:14:17,433 and I think public awareness is important too yeah 403 00:14:17,433 --> 00:14:18,733 get people talking about it 404 00:14:18,733 --> 00:14:19,966 exactly because 405 00:14:19,966 --> 00:14:22,733 we need to have open discussions about AI's 406 00:14:22,733 --> 00:14:25,133 impact on society it affects everyone 407 00:14:25,133 --> 00:14:26,600 it does and at the end of the day 408 00:14:26,600 --> 00:14:29,433 it's important to remember that AI is a tool 409 00:14:29,900 --> 00:14:31,600 a tool and like any tool 410 00:14:31,600 --> 00:14:33,300 it can be used for good or for bad 411 00:14:33,300 --> 00:14:34,833 so it depends how we use it 412 00:14:34,833 --> 00:14:35,233 it does 413 00:14:35,233 --> 00:14:38,900 it's our responsibility to shape its development okay 414 00:14:38,900 --> 00:14:41,733 and make sure its benefits are shared widely right 415 00:14:41,733 --> 00:14:44,200 but also mitigate those potential risks exactly 416 00:14:44,200 --> 00:14:45,833 it's a balancing act it sounds like it 417 00:14:45,833 --> 00:14:49,533 it is so we've talked about potential job displacement 418 00:14:49,533 --> 00:14:51,166 the ethical guidelines right 419 00:14:51,166 --> 00:14:52,100 are there any other challenges 420 00:14:52,100 --> 00:14:53,133 we should be thinking about 421 00:14:53,133 --> 00:14:55,200 yeah there's another one that comes to mind okay 422 00:14:55,200 --> 00:14:57,200 what is it privacy and security 423 00:14:57,200 --> 00:14:57,966 oh right 424 00:14:57,966 --> 00:14:59,300 that's huge it is 425 00:14:59,300 --> 00:15:01,800 and with AI the risks are even greater 426 00:15:02,733 --> 00:15:03,800 how so well 427 00:15:03,800 --> 00:15:07,033 AI systems are gathering and analyzing 428 00:15:07,033 --> 00:15:09,133 massive amounts of data yeah 429 00:15:09,133 --> 00:15:10,500 that's how they learn exactly 430 00:15:10,500 --> 00:15:12,433 and the more data they have access to 431 00:15:12,433 --> 00:15:13,300 the smarter they get 432 00:15:13,300 --> 00:15:15,833 but also the more vulnerable we become right 433 00:15:15,833 --> 00:15:18,333 because if that data is misused or compromised 434 00:15:18,333 --> 00:15:19,766 oh that's a scary thought 435 00:15:19,766 --> 00:15:20,566 it is and 436 00:15:20,566 --> 00:15:22,133 we've already seen data breaches 437 00:15:22,133 --> 00:15:23,633 and privacy violations yeah 438 00:15:23,633 --> 00:15:24,766 those are happening all the time 439 00:15:24,766 --> 00:15:27,866 they are and AI could make those problems even worse 440 00:15:28,033 --> 00:15:29,500 so what can we do about it 441 00:15:29,500 --> 00:15:30,400 well again 442 00:15:30,400 --> 00:15:32,300 it comes down to responsible development 443 00:15:32,433 --> 00:15:35,766 and strong regulations to protect our data exactly 444 00:15:35,766 --> 00:15:37,133 we need to make sure AI 445 00:15:37,133 --> 00:15:39,833 systems are designed with privacy and security 446 00:15:39,900 --> 00:15:43,366 as top priorities so like built in protections right 447 00:15:43,366 --> 00:15:45,900 strong encryption clear consent 448 00:15:45,900 --> 00:15:47,900 protocols for data collection 449 00:15:47,900 --> 00:15:49,633 so people know what they're agreeing to 450 00:15:49,633 --> 00:15:52,433 yes and safeguards against unauthorized access 451 00:15:52,433 --> 00:15:55,833 so our data is safe from hackers and misuse exactly 452 00:15:55,833 --> 00:15:57,966 it's a complex issue it sounds like it 453 00:15:57,966 --> 00:15:59,433 but it's one we need to take seriously 454 00:15:59,433 --> 00:16:01,466 absolutely our privacy is at stake 455 00:16:01,533 --> 00:16:03,566 it is and I think the key takeaway here 456 00:16:03,566 --> 00:16:05,833 okay is that we need to strike a balance 457 00:16:05,833 --> 00:16:08,900 a balance between innovation and responsibility right 458 00:16:08,900 --> 00:16:09,700 we can't just 459 00:16:09,700 --> 00:16:12,400 rush ahead without thinking about the consequences 460 00:16:12,400 --> 00:16:14,900 we can't we need a fostering environment 461 00:16:14,933 --> 00:16:18,100 where we can harness the power of AI yeah 462 00:16:18,100 --> 00:16:21,966 but also safeguard individual rights in societal values 463 00:16:21,966 --> 00:16:23,966 it's a tough challenge it is 464 00:16:23,966 --> 00:16:25,900 but it's one we need to face head on 465 00:16:26,000 --> 00:16:28,000 I agree we can just ignore it 466 00:16:28,000 --> 00:16:29,500 we can't and 467 00:16:29,800 --> 00:16:31,833 you know we've covered some pretty heavy topics here 468 00:16:31,833 --> 00:16:33,900 we have it's a lot to think about 469 00:16:33,900 --> 00:16:36,200 it is but I think these conversations are crucial 470 00:16:36,200 --> 00:16:37,000 crucial yeah 471 00:16:37,000 --> 00:16:40,766 to ensure a future where AI truly benefits humanity 472 00:16:40,766 --> 00:16:41,766 right that's the goal 473 00:16:41,766 --> 00:16:43,766 it is so where do we go from here 474 00:16:43,766 --> 00:16:46,633 good question what's the key takeaway for our listeners 475 00:16:46,633 --> 00:16:49,233 well I think the most important thing to remember yeah 476 00:16:49,233 --> 00:16:53,200 is that AI isn't just some technological advancement 477 00:16:53,200 --> 00:16:55,366 it's bigger than that it's a fundamental shift 478 00:16:55,366 --> 00:16:56,533 a shift yeah 479 00:16:56,533 --> 00:16:58,533 it's gonna reshape our lives 480 00:16:58,533 --> 00:17:00,200 our work our societies wow 481 00:17:00,200 --> 00:17:02,033 that's a big statement it is 482 00:17:02,033 --> 00:17:04,966 and we need to approach it with both enthusiasm 483 00:17:04,966 --> 00:17:06,366 so the possibilities right 484 00:17:06,366 --> 00:17:08,033 but also with vigilance 485 00:17:08,033 --> 00:17:09,700 and make sure we're using it responsibly 486 00:17:09,700 --> 00:17:12,300 exactly because there are risks involved 487 00:17:12,300 --> 00:17:15,133 there are but there's also incredible potential 488 00:17:15,133 --> 00:17:17,400 so it's about finding that sweet spot 489 00:17:17,400 --> 00:17:19,700 between embracing innovation yeah 490 00:17:19,700 --> 00:17:21,500 an ensuring responsible development 491 00:17:21,500 --> 00:17:24,833 I like that finding that balance is not gonna be easy 492 00:17:24,833 --> 00:17:26,033 it's gonna take a lot of effort 493 00:17:26,033 --> 00:17:28,633 it will but it's worth it for the future 494 00:17:28,633 --> 00:17:30,033 for the future of humanity 495 00:17:30,033 --> 00:17:32,033 well said and speaking of the future 496 00:17:32,033 --> 00:17:34,566 okay the final part of our deep dive yes 497 00:17:34,566 --> 00:17:35,366 we're gonna explore 498 00:17:35,366 --> 00:17:37,800 some of the most captivating predictions 499 00:17:37,933 --> 00:17:39,933 about where AI is headed 500 00:17:39,933 --> 00:17:41,333 oh this is gonna be good 501 00:17:41,333 --> 00:17:44,366 it is and we'll discuss what it all might mean for us 502 00:17:44,366 --> 00:17:46,300 as humans can't wait 503 00:17:46,633 --> 00:17:49,600 okay so we've explored the potential of AI 504 00:17:49,733 --> 00:17:52,033 you know to revolutionize software yeah 505 00:17:52,033 --> 00:17:53,100 create new markets 506 00:17:53,100 --> 00:17:55,600 even disrupt those traditional models 507 00:17:55,600 --> 00:17:56,366 absolutely 508 00:17:56,366 --> 00:17:58,866 and we also discuss the need for ethical guidelines 509 00:17:59,033 --> 00:18:02,500 right those safeguards as AI becomes more integrated 510 00:18:02,500 --> 00:18:05,166 exactly but now in this final part 511 00:18:05,166 --> 00:18:08,133 okay let's shift our focus to the future 512 00:18:08,133 --> 00:18:11,766 the future what might the world look like as AI 513 00:18:11,766 --> 00:18:13,533 continues to evolve well 514 00:18:13,533 --> 00:18:15,333 it's fascinating to try and predict 515 00:18:15,433 --> 00:18:16,366 you know it is 516 00:18:16,366 --> 00:18:17,966 there's so many possibilities 517 00:18:17,966 --> 00:18:21,166 there are but one prediction that stands out okay 518 00:18:21,166 --> 00:18:24,833 is that AI will eventually become so pervasive 519 00:18:24,833 --> 00:18:25,966 pervasive yeah 520 00:18:25,966 --> 00:18:28,433 so seamlessly woven into our lives 521 00:18:28,433 --> 00:18:29,100 right that 522 00:18:29,100 --> 00:18:32,033 we'll cease to think of it as a distinct technology 523 00:18:32,033 --> 00:18:33,566 so like it'll just be there 524 00:18:33,566 --> 00:18:35,333 it'll just be there in the background 525 00:18:35,333 --> 00:18:37,300 like electricity exactly 526 00:18:37,300 --> 00:18:39,433 we don't really think about the infrastructure right 527 00:18:39,433 --> 00:18:42,000 we just flip a switch and expect the lights to come on 528 00:18:42,000 --> 00:18:43,533 yeah it just works 529 00:18:43,533 --> 00:18:45,966 an AI could become just as integrated 530 00:18:45,966 --> 00:18:47,966 wow into our daily lives 531 00:18:47,966 --> 00:18:50,300 so from how we communicate 532 00:18:50,300 --> 00:18:51,600 how we access information 533 00:18:51,600 --> 00:18:53,233 how we work learn 534 00:18:53,233 --> 00:18:55,933 make decisions it'll all be influenced by AI 535 00:18:55,933 --> 00:18:59,166 so it's not just about AI doing things for us right 536 00:18:59,166 --> 00:19:02,233 it's about AI becoming almost like an invisible partner 537 00:19:02,400 --> 00:19:04,766 a silent partner in every aspect of our lives 538 00:19:04,766 --> 00:19:07,133 yeah shaping our world in subtle ways 539 00:19:07,133 --> 00:19:08,633 it's pretty mind blowing concept 540 00:19:08,633 --> 00:19:11,100 it is it raises some interesting questions though 541 00:19:11,100 --> 00:19:11,900 oh like what 542 00:19:11,900 --> 00:19:15,000 well about human agency and control 543 00:19:15,300 --> 00:19:16,433 okay I see what you mean 544 00:19:16,433 --> 00:19:19,566 if AI is subtly influencing our decisions 545 00:19:19,566 --> 00:19:20,800 even in small ways 546 00:19:20,833 --> 00:19:23,466 what does that mean for our free will 547 00:19:23,566 --> 00:19:24,800 yeah our autonomy 548 00:19:24,800 --> 00:19:27,333 those are some deep philosophical questions 549 00:19:27,333 --> 00:19:28,900 they are but for now 550 00:19:28,900 --> 00:19:30,800 okay let's get back to those predictions okay 551 00:19:30,800 --> 00:19:32,400 what else did the research highlight 552 00:19:32,400 --> 00:19:33,700 well another fascinating one 553 00:19:33,700 --> 00:19:36,200 is the rise of outcome based services 554 00:19:36,200 --> 00:19:37,000 oh right 555 00:19:37,000 --> 00:19:38,166 we touched on that earlier 556 00:19:38,166 --> 00:19:40,233 we did but it's worth exploring further 557 00:19:40,233 --> 00:19:44,100 definitely because it goes beyond just automating tasks 558 00:19:44,100 --> 00:19:47,500 right it's about AI guaranteeing specific results 559 00:19:47,500 --> 00:19:48,333 outcomes yeah 560 00:19:48,333 --> 00:19:50,033 so can you give us a concrete example 561 00:19:50,033 --> 00:19:50,500 okay sure 562 00:19:50,500 --> 00:19:52,700 imagine healthcare healthcare 563 00:19:52,700 --> 00:19:55,800 where you're not paying for individual visits 564 00:19:55,800 --> 00:19:57,233 okay or treatments 565 00:19:57,233 --> 00:19:59,166 but for a desired outcome 566 00:19:59,166 --> 00:20:00,833 like what well 567 00:20:00,833 --> 00:20:02,900 say lowering your blood pressure 568 00:20:02,900 --> 00:20:05,566 or managing a chronic condition 569 00:20:05,566 --> 00:20:06,733 you're paying for the result 570 00:20:06,733 --> 00:20:10,933 exactly and AI systems would monitor your health data 571 00:20:11,000 --> 00:20:12,900 okay personalize your treatment 572 00:20:12,900 --> 00:20:15,500 even adjust your lifestyle recommendations 573 00:20:15,500 --> 00:20:16,933 wow all in real time 574 00:20:16,933 --> 00:20:19,700 to ensure you achieve that specific outcome 575 00:20:19,700 --> 00:20:21,700 it's like preventative health care on steroids 576 00:20:21,700 --> 00:20:22,966 it is but of course 577 00:20:22,966 --> 00:20:24,700 there are challenges oh yeah 578 00:20:24,700 --> 00:20:27,166 for sure like access and affordability right 579 00:20:27,166 --> 00:20:28,566 those are big ones they are 580 00:20:28,566 --> 00:20:31,566 but the potential of these outcome based services 581 00:20:31,566 --> 00:20:32,733 yeah it's huge 582 00:20:32,733 --> 00:20:35,700 not just in healthcare but across different fields 583 00:20:35,700 --> 00:20:38,100 education finance transportation 584 00:20:38,100 --> 00:20:41,266 it's like we're moving from a world focused on inputs 585 00:20:41,400 --> 00:20:43,500 to a world focused on outputs 586 00:20:43,500 --> 00:20:45,233 so instead of the processes 587 00:20:45,233 --> 00:20:46,833 we're prioritizing the results 588 00:20:46,833 --> 00:20:48,400 and AI is making that possible 589 00:20:48,400 --> 00:20:52,166 absolutely it gives us the tools to measure analyze 590 00:20:52,166 --> 00:20:54,933 optimize outcomes in ways we couldn't before 591 00:20:54,933 --> 00:20:56,166 just a whole new way of thinking 592 00:20:56,166 --> 00:21:00,566 it is so we have AI becoming more ubiquitous 593 00:21:00,566 --> 00:21:03,566 outcome based services reshaping industries 594 00:21:03,566 --> 00:21:06,200 were there any other predictions that really stood out 595 00:21:06,200 --> 00:21:08,200 it was one that really caught my eye 596 00:21:08,200 --> 00:21:09,133 okay tell me 597 00:21:09,133 --> 00:21:10,566 the idea that AI 598 00:21:10,566 --> 00:21:13,766 could eventually surpass human intelligence 599 00:21:13,766 --> 00:21:15,133 oh the singularity 600 00:21:15,133 --> 00:21:16,833 yeah some experts call it that 601 00:21:16,833 --> 00:21:18,500 it sounds like something out of science fiction 602 00:21:18,500 --> 00:21:20,800 it does but serious scientists are exploring this 603 00:21:20,800 --> 00:21:23,533 it's so we're talking about super intelligent AI 604 00:21:23,533 --> 00:21:25,966 AI that exceeds human capabilities 605 00:21:25,966 --> 00:21:28,166 and what happens then that's the big question 606 00:21:28,166 --> 00:21:29,300 isn't it it is 607 00:21:29,300 --> 00:21:32,400 some people think it'll be a Utopia where AI 608 00:21:32,400 --> 00:21:33,633 solves all our problems 609 00:21:33,633 --> 00:21:36,733 others fear a dystopia where AI takes control 610 00:21:36,733 --> 00:21:38,766 it's impossible to know for sure 611 00:21:38,766 --> 00:21:40,300 but it's definitely something to think about 612 00:21:40,300 --> 00:21:40,766 it is so 613 00:21:40,766 --> 00:21:44,533 we have this future where AI is embedded in our lives 614 00:21:44,533 --> 00:21:45,900 outcomes are guaranteed 615 00:21:45,900 --> 00:21:47,933 AI might even be smarter than us 616 00:21:48,000 --> 00:21:49,833 what does it all mean for humans 617 00:21:49,833 --> 00:21:52,533 what role will we play another good question 618 00:21:52,633 --> 00:21:53,833 some believe AI 619 00:21:53,833 --> 00:21:57,100 will liberate us from those mundane tasks 620 00:21:57,100 --> 00:21:59,833 freeing us to be more creative innovative 621 00:21:59,833 --> 00:22:02,400 others worry AI will make us obsolete 622 00:22:02,600 --> 00:22:05,766 leading to unemployment inequality 623 00:22:05,766 --> 00:22:07,366 it feels like a turning point in history 624 00:22:07,366 --> 00:22:10,766 it does the choices we make now about how we develop AI 625 00:22:10,766 --> 00:22:12,200 will have huge consequences 626 00:22:12,200 --> 00:22:13,933 shaping the future for generations 627 00:22:13,933 --> 00:22:15,433 it's a huge responsibility 628 00:22:15,433 --> 00:22:16,366 it is and as such 629 00:22:16,366 --> 00:22:17,700 as a technological challenge 630 00:22:17,700 --> 00:22:20,000 Rory societal philosophical 631 00:22:20,000 --> 00:22:22,833 we need to have open discussions about AI's role in 632 00:22:22,833 --> 00:22:25,500 our lives and work together to ensure its development 633 00:22:25,500 --> 00:22:28,133 aligns with our values benefits humanity 634 00:22:28,200 --> 00:22:30,600 couldn't have said it better myself in on that note 635 00:22:30,600 --> 00:22:33,100 okay it seems like a good time to wrap up 636 00:22:33,100 --> 00:22:35,833 our deep dive into the world of AI 637 00:22:35,833 --> 00:22:37,700 and software we've covered a lot 638 00:22:37,700 --> 00:22:39,066 the benefits the risks 639 00:22:39,100 --> 00:22:41,633 the implications it's been a fascinating journey 640 00:22:41,633 --> 00:22:43,633 exploring these complex issues 641 00:22:43,633 --> 00:22:45,766 hopefully our listeners found it informative 642 00:22:45,766 --> 00:22:47,400 and thought provoking and remember 643 00:22:47,400 --> 00:22:49,133 this is just the beginning 644 00:22:49,133 --> 00:22:51,133 the AI revolution is unfolding 645 00:22:51,133 --> 00:22:53,633 and it's up to all of us to shape its trajectory 646 00:22:53,633 --> 00:22:58,000 so stay curious stay engaged and keep exploring 647 00:22:58,000 --> 00:23:00,500 thanks for joining us it's been a pleasure