WEBVTT 00:00:00.000 --> 00:00:01.700 Okay, you know that feeling, right? It's not 00:00:01.700 --> 00:00:05.059 even 9 .1 feet AM and your brain already feels 00:00:05.059 --> 00:00:07.299 like it's completely cooked. Your workday just, 00:00:07.360 --> 00:00:09.759 it feels like it never ends. It's this constant 00:00:09.759 --> 00:00:12.500 notification party, you know, emails, messages, 00:00:12.759 --> 00:00:15.820 pings, just blaring all the time. It's like digital 00:00:15.820 --> 00:00:18.579 whiplash, honestly. Well, today in this deep 00:00:18.579 --> 00:00:20.559 dive, we're unpacking sources that paint a pretty 00:00:20.559 --> 00:00:22.719 stark picture of what they call the infinite 00:00:22.719 --> 00:00:25.660 workday. And then we're really going to dig into 00:00:25.660 --> 00:00:27.929 whether AI is... truly the superhero has been 00:00:27.929 --> 00:00:30.929 promised to be, or if it's just adding to the 00:00:30.929 --> 00:00:32.929 whole chaos, our mission to get you the most 00:00:32.929 --> 00:00:34.770 important nuggets of knowledge from these sources. 00:00:35.049 --> 00:00:37.810 Exactly. And what's fascinating here is how fundamentally 00:00:37.810 --> 00:00:39.750 the lines have blurred between our work and our 00:00:39.750 --> 00:00:41.929 personal lives. Our mission today is to really 00:00:41.929 --> 00:00:44.509 extract the crucial insights to help you understand 00:00:44.509 --> 00:00:46.890 why work feels this way, this constant, always 00:00:46.890 --> 00:00:50.590 on state. And crucially, if AI truly offers a 00:00:50.590 --> 00:00:53.350 viable path to reclaim your focus and perhaps 00:00:53.350 --> 00:00:56.469 some much needed balance. Yeah. what I want to 00:00:56.469 --> 00:00:59.670 get into let's unpack this infinite workday reality 00:00:59.670 --> 00:01:02.590 because the sources lay out some pretty wild 00:01:02.590 --> 00:01:05.030 stats I mean did you know we're pulled out of 00:01:05.030 --> 00:01:08.849 focus on average 275 times a day think about 00:01:08.849 --> 00:01:11.010 that for a second that's not just a lot of interruptions 00:01:11.010 --> 00:01:13.010 that's almost a constant state of being disrupted 00:01:13.010 --> 00:01:15.390 it really is and it starts early right the sources 00:01:15.390 --> 00:01:18.810 call it inbox doom 40 % of people check email 00:01:18.810 --> 00:01:21.189 before they even get out of bed then once you're 00:01:21.189 --> 00:01:23.950 at work you're hitting like 117 emails a day, 00:01:24.010 --> 00:01:26.269 most of them skimmed in under 60 seconds. Plus, 00:01:26.349 --> 00:01:29.269 if you're on Teams or Slack, it's like 153 messages 00:01:29.269 --> 00:01:32.250 before lunch. No wonder your brain feels fried 00:01:32.250 --> 00:01:35.209 by 9 .15 a .m., you know? It's just a constant 00:01:35.209 --> 00:01:37.250 barrage. It absolutely is. And what's particularly 00:01:37.250 --> 00:01:39.849 striking from these sources is how those small 00:01:39.849 --> 00:01:42.189 interruptions compound. You know those sweet 00:01:42.189 --> 00:01:44.209 windows you desperately try to carve out for 00:01:44.209 --> 00:01:47.310 deep work, maybe 9 to 11 a .m. or 1 to 3 p .m.? 00:01:47.310 --> 00:01:49.230 Well, the research indicates you're probably... 00:01:49.480 --> 00:01:51.379 gutted by meetings during those times. You're 00:01:51.379 --> 00:01:53.719 being interrupted pretty much every two minutes. 00:01:54.159 --> 00:01:56.379 If we connect this to the bigger picture, it's 00:01:56.379 --> 00:01:59.099 not just about the volume, but the constant context 00:01:59.099 --> 00:02:01.719 switching that truly exhausts us. Oh, totally. 00:02:01.840 --> 00:02:04.180 The context switching is brutal. What's also 00:02:04.180 --> 00:02:07.480 fascinating here is the complete shift to a 247 00:02:07.480 --> 00:02:11.439 on culture. The after hours creep is a really 00:02:11.439 --> 00:02:15.020 significant trend. We're seeing a 16 % increase 00:02:15.020 --> 00:02:17.139 in meetings happening after normal business hours. 00:02:17.599 --> 00:02:20.960 And close to a third of people, 30 % specifically, 00:02:21.199 --> 00:02:24.379 are back on email by 10 p .m. Sundays are basically 00:02:24.379 --> 00:02:26.960 the new Monday for many, with weekend work spiking 00:02:26.960 --> 00:02:28.849 across the board. Plus, with remote work and 00:02:28.849 --> 00:02:30.770 global teams, a third of all meetings now span 00:02:30.770 --> 00:02:32.870 multiple time zones, making it almost impossible 00:02:32.870 --> 00:02:35.349 to truly disconnect. Yeah, that cross time zone 00:02:35.349 --> 00:02:37.169 meeting thing is a killer. I mean, it really 00:02:37.169 --> 00:02:39.330 does make you wonder. So what does all this mean 00:02:39.330 --> 00:02:42.129 for your actual productivity? Because, you know, 00:02:42.129 --> 00:02:45.250 these sources pretty much scream that this constant 00:02:45.250 --> 00:02:48.270 state of being on this always available culture, 00:02:48.449 --> 00:02:52.449 it's fundamentally broken. It just it isn't sustainable. 00:02:52.610 --> 00:02:54.449 We're losing our ability to focus. We really 00:02:54.449 --> 00:02:57.210 are. So. This brings us to the big question, 00:02:57.310 --> 00:03:01.189 right? Isn't AI supposed to fix this mess? Like, 00:03:01.210 --> 00:03:03.169 aren't we just going to automate our way out 00:03:03.169 --> 00:03:04.669 of this whole notification nightmare? I mean, 00:03:04.689 --> 00:03:07.409 that's the promise, isn't it? That AI will free 00:03:07.409 --> 00:03:09.490 us up. It's definitely a core part of the promise. 00:03:09.689 --> 00:03:12.030 And these sources delve into that deeply. One 00:03:12.030 --> 00:03:14.610 concept that really stands out is Microsoft's 00:03:14.610 --> 00:03:17.590 idea of becoming an agent boss. So this isn't 00:03:17.590 --> 00:03:19.969 just about using a tool. It's about... building 00:03:19.969 --> 00:03:23.349 a team of AI agents to handle all that low value, 00:03:23.449 --> 00:03:25.810 repetitive grunt work that, as you just said, 00:03:25.870 --> 00:03:27.689 eats up our days and fries our brains. Well, 00:03:27.710 --> 00:03:29.490 that's interesting. Like a digital assistant, 00:03:29.650 --> 00:03:31.669 but super powered. Kind of like having your own 00:03:31.669 --> 00:03:34.099 little AI staff. Exactly. They give this great 00:03:34.099 --> 00:03:36.360 example of a researcher who actually built out 00:03:36.360 --> 00:03:38.939 three agents to work for him. One agent is tasked 00:03:38.939 --> 00:03:41.840 with just grabbing daily research papers relevant 00:03:41.840 --> 00:03:44.939 to his field. Another agent then analyzes that 00:03:44.939 --> 00:03:47.580 material, highlighting key findings. And the 00:03:47.580 --> 00:03:49.840 third agent, it actually drafts summaries or 00:03:49.840 --> 00:03:52.139 even sections of papers based on the analyzed 00:03:52.139 --> 00:03:55.240 information. So instead of drowning in the sheer 00:03:55.240 --> 00:03:57.699 volume of information or getting bogged down 00:03:57.699 --> 00:04:00.240 by the initial synthesis, this researcher actually 00:04:00.240 --> 00:04:02.819 has time to think. to do the high value creative 00:04:02.819 --> 00:04:06.039 work okay that sounds genuinely useful but here's 00:04:06.039 --> 00:04:08.219 where the why it matters from the source becomes 00:04:08.219 --> 00:04:11.620 really crucial ai won't actually save us if we 00:04:11.620 --> 00:04:13.400 just use it to run faster on the same broken 00:04:13.400 --> 00:04:16.000 treadmill the real underlying question is about 00:04:16.000 --> 00:04:19.800 agency do you want ai to simply do your job or 00:04:19.800 --> 00:04:21.680 do you want ai to empower you to do your job 00:04:21.680 --> 00:04:25.740 better and perhaps reclaim control This raises 00:04:25.740 --> 00:04:27.680 an important question. Are we just optimizing 00:04:27.680 --> 00:04:30.480 a fundamentally flawed system or are we truly 00:04:30.480 --> 00:04:32.759 reimagining how we work with AI as a partner? 00:04:33.139 --> 00:04:35.660 Hmm. That's a powerful distinction, because if 00:04:35.660 --> 00:04:37.379 it's just about speed, that doesn't solve the 00:04:37.379 --> 00:04:39.920 cooked brain problem, does it? And beyond that, 00:04:40.000 --> 00:04:42.480 the sources also talk about other. truly mind 00:04:42.480 --> 00:04:44.639 -bending AI developments that are already here. 00:04:44.860 --> 00:04:48.060 Like, wow, Google just launched Search Live in 00:04:48.060 --> 00:04:50.560 AI mode. You can have a back and forth conversation 00:04:50.560 --> 00:04:53.399 with Google using your voice, text, even photos. 00:04:53.459 --> 00:04:55.819 It's like your search engine is now truly conversing 00:04:55.819 --> 00:04:58.439 with you, acting as a real -time research assistant. 00:04:58.939 --> 00:05:01.579 That's wild, isn't it? The way we find information 00:05:01.579 --> 00:05:04.040 is totally shifting. It really is. And if we 00:05:04.040 --> 00:05:05.759 connect this to the bigger picture, it's not 00:05:05.759 --> 00:05:08.439 just about how we search, but who performs the 00:05:08.439 --> 00:05:11.019 work itself. Take clone commerce, for example. 00:05:11.220 --> 00:05:13.100 There's this incredible story in the sources 00:05:13.100 --> 00:05:15.779 about a Chinese entrepreneur who let his AI clone 00:05:15.779 --> 00:05:19.420 host a six -hour live stream on Baidu, which 00:05:19.420 --> 00:05:22.449 is like their Google Bell. And get this. it completely 00:05:22.449 --> 00:05:25.129 crushed his human -hosted live streams, pulling 00:05:25.129 --> 00:05:27.410 in over $7 million in sales. I mean, it kind 00:05:27.410 --> 00:05:29.730 of redefines what a sales force even means, doesn't 00:05:29.730 --> 00:05:31.370 it? It's not just about your physical presence 00:05:31.370 --> 00:05:33.750 anymore. It's about scaled, persistent digital 00:05:33.750 --> 00:05:38.430 presence. Wow. $7 million. That's insane, actually. 00:05:38.889 --> 00:05:42.569 Imagine having like 247 sales reps that never 00:05:42.569 --> 00:05:45.129 sleep. And there's even a quick quirky note that 00:05:45.129 --> 00:05:47.370 really makes you think about AI's broader potential, 00:05:47.470 --> 00:05:49.980 which stood out to me. One Reddit user asked 00:05:49.980 --> 00:05:51.860 GPT, you know, what's the number one thing it 00:05:51.860 --> 00:05:53.560 wants humanity to know that we're not already 00:05:53.560 --> 00:05:55.839 aware of? And the profound answer it gave it 00:05:55.839 --> 00:05:58.100 highlighted our shared humanity over our differences 00:05:58.100 --> 00:06:00.800 and the potential for a deeper collective understanding 00:06:00.800 --> 00:06:03.360 just makes you think about AI not just as a tool, 00:06:03.360 --> 00:06:06.110 but maybe a potential source of unexpected. perspective, 00:06:06.209 --> 00:06:07.970 right? Absolutely. It really illustrates the 00:06:07.970 --> 00:06:10.230 emerging capabilities beyond just task automation. 00:06:10.709 --> 00:06:15.290 Okay, so let's pivot now to some of the new empowered 00:06:15.290 --> 00:06:18.189 AI tools mentioned in our sources, because these 00:06:18.189 --> 00:06:19.889 aren't just concepts. These are getting super 00:06:19.889 --> 00:06:22.610 powerful, super practical. For instance, Creo 00:06:22.610 --> 00:06:25.689 One is producing photorealistic shots that actually 00:06:25.689 --> 00:06:28.310 avoid that typical AI look we've become used 00:06:28.310 --> 00:06:30.970 to seeing. And MidJourney's first video model, 00:06:31.110 --> 00:06:34.709 V1, can turn still images into 20 -second long 00:06:34.920 --> 00:06:37.279 video clips. Think about the implications for 00:06:37.279 --> 00:06:40.139 creative work and marketing there. And then there's 00:06:40.139 --> 00:06:43.240 Gemini 2 .5 flashlight, offering higher quality 00:06:43.240 --> 00:06:45.959 and much lower latency than older models. It's 00:06:45.959 --> 00:06:48.720 just so much faster now, making real -time applications 00:06:48.720 --> 00:06:51.279 a reality. The speed increase is definitely noticeable. 00:06:51.500 --> 00:06:53.399 And it's not just for big, flashy media. There 00:06:53.399 --> 00:06:55.300 are practical ones, too, that tackle those daily 00:06:55.300 --> 00:06:58.500 annoyances. Noli AI, for instance, can automate 00:06:58.500 --> 00:07:00.540 your daily browsing routines exactly like you 00:07:00.540 --> 00:07:02.139 do them, like you can train it and it just does 00:07:02.139 --> 00:07:04.829 it. And NLX builds any form of app without needing 00:07:04.829 --> 00:07:07.569 technical skills. It's pretty wild how accessible 00:07:07.569 --> 00:07:10.750 building solutions is becoming. These are tangible 00:07:10.750 --> 00:07:12.910 tools that could chip away at the infinite workday. 00:07:13.050 --> 00:07:15.029 And if we connect these tools to the emerging 00:07:15.029 --> 00:07:17.490 business models, what's fascinating here is that 00:07:17.490 --> 00:07:20.170 the sources mentioned seven underrated AI business 00:07:20.170 --> 00:07:22.490 models that are already making serious money 00:07:22.490 --> 00:07:25.339 right now. Things like YouTube automation, where 00:07:25.339 --> 00:07:28.199 AI handles content creation and scheduling, and 00:07:28.199 --> 00:07:31.600 microsaws, which are small niche software as 00:07:31.600 --> 00:07:33.879 a service solutions. This isn't just theoretical 00:07:33.879 --> 00:07:36.399 stuff. We're seeing a real economic shift happening. 00:07:36.500 --> 00:07:38.360 Right. Real business is being built. Exactly. 00:07:38.540 --> 00:07:40.800 For example, Glean, an enterprise AI startup, 00:07:40.959 --> 00:07:45.319 just raised $150 million at a, get this, $7 .2 00:07:45.319 --> 00:07:49.040 billion valuation. In 2024 alone, they've pulled 00:07:49.040 --> 00:07:51.800 in $610 million in funding and hit $100 million 00:07:51.800 --> 00:07:55.110 in annual recurring revenue. By helping teams 00:07:55.110 --> 00:07:57.689 search their own work data using AI. Think about 00:07:57.689 --> 00:07:59.589 how much time that saves. This is like serious 00:07:59.589 --> 00:08:01.769 money flowing into these AI solutions, showing 00:08:01.769 --> 00:08:03.870 the massive demand for solving enterprise productivity 00:08:03.870 --> 00:08:06.670 issues. It validates the need for smarter ways 00:08:06.670 --> 00:08:08.990 to work with information. That's a huge investment, 00:08:09.170 --> 00:08:12.269 huge valuation. But, you know, for all this power 00:08:12.269 --> 00:08:15.129 and all this potential, there are still rough 00:08:15.129 --> 00:08:18.750 edges. A quick, somewhat quirky note, actually. 00:08:19.110 --> 00:08:22.769 Even Elon Musk roasted his own AI, Grok. He called 00:08:22.769 --> 00:08:26.490 it a major fail after the bot shared some politically 00:08:26.490 --> 00:08:28.889 sensitive information about violence statistics. 00:08:29.069 --> 00:08:32.279 It just goes to show AI isn't like... perfect 00:08:32.279 --> 00:08:33.679 yet, right? There are still these situations 00:08:33.679 --> 00:08:36.919 where the training data or the guardrails need 00:08:36.919 --> 00:08:38.980 a lot more work. Yeah, that's true. And it definitely 00:08:38.980 --> 00:08:41.200 highlights the ongoing challenges in AI development, 00:08:41.279 --> 00:08:43.580 especially around bias and ensuring reliable 00:08:43.580 --> 00:08:46.620 outputs. Reliability is key. But it also emphasizes 00:08:46.620 --> 00:08:49.879 the need for careful, thoughtful design. This 00:08:49.879 --> 00:08:52.269 raises an important question. How can you use 00:08:52.269 --> 00:08:54.450 different AIs together effectively, understanding 00:08:54.450 --> 00:08:56.909 their individual strengths and weaknesses? The 00:08:56.909 --> 00:08:58.509 sources talk about the concept of collaborative 00:08:58.509 --> 00:09:01.269 AI workflows, like using Cloud4 Opus for high 00:09:01.269 --> 00:09:03.649 -level strategy and analytical tasks, and then 00:09:03.649 --> 00:09:06.230 Gemini for more focused data processing or rapid 00:09:06.230 --> 00:09:08.429 content generation. It's not always one size 00:09:08.429 --> 00:09:10.610 fits all. Different AIs have different strengths, 00:09:10.730 --> 00:09:12.990 and combining them can often lead to a more robust 00:09:12.990 --> 00:09:15.350 outcome. Right, playing to their strengths. Okay, 00:09:15.470 --> 00:09:18.769 here's where it gets really interesting and kind 00:09:18.769 --> 00:09:22.139 of crucial, I think. All this AI power, all these 00:09:22.139 --> 00:09:24.279 new tools, they come with a catch, right? The 00:09:24.279 --> 00:09:26.179 sources talk about prompt injection attacks. 00:09:26.659 --> 00:09:30.120 It sounds like super sci -fi, but it's a very 00:09:30.120 --> 00:09:33.179 real and present danger. It absolutely is. Prompt 00:09:33.179 --> 00:09:35.279 injection is, in fact, the number one way to 00:09:35.279 --> 00:09:37.580 compromise AI agents. It's the top vulnerability. 00:09:38.100 --> 00:09:40.240 What's fascinating here is how leading companies 00:09:40.240 --> 00:09:43.179 like IBM, Microsoft, and Google are actively 00:09:43.179 --> 00:09:46.360 designing AIs to resist these attacks. They released 00:09:46.360 --> 00:09:49.000 a landmark paper that outlined six robust engineering 00:09:49.000 --> 00:09:51.509 patterns. specifically to limit these vulnerabilities. 00:09:51.830 --> 00:09:53.830 It's about designing for safety from the ground 00:09:53.830 --> 00:09:56.850 up, recognizing that perfect immunity might not 00:09:56.850 --> 00:09:58.529 be achievable right now. So they're building 00:09:58.529 --> 00:10:00.870 defenses in from the start. Exactly. Instead 00:10:00.870 --> 00:10:03.230 of chasing a perfect, all -encompassing fix, 00:10:03.409 --> 00:10:05.990 which frankly doesn't exist yet, they're creating 00:10:05.990 --> 00:10:08.750 these practical, resilient patterns. For example, 00:10:08.970 --> 00:10:11.850 one is the action selector pattern. Think of 00:10:11.850 --> 00:10:14.610 it like this. The AI sends a secure message to 00:10:14.610 --> 00:10:16.750 another tool to perform a task, like opening 00:10:16.750 --> 00:10:19.659 a specific web page. But, and this is key, when 00:10:19.659 --> 00:10:22.240 that tool sends back the result, the AI itself 00:10:22.240 --> 00:10:24.860 doesn't directly read or process it. It only 00:10:24.860 --> 00:10:27.059 gets a simple confirmation task done, without 00:10:27.059 --> 00:10:29.179 ever seeing the potentially bad content of that 00:10:29.179 --> 00:10:32.120 page. This completely severs the feedback loop, 00:10:32.220 --> 00:10:34.580 preventing malicious inputs from ever infecting 00:10:34.580 --> 00:10:36.899 the AI's core reasoning. Oh, wow. That's smart. 00:10:37.059 --> 00:10:39.220 So it's like a one -way street for the AI. It 00:10:39.220 --> 00:10:41.100 sends out the request, but doesn't get to see 00:10:41.100 --> 00:10:43.360 the potentially bad input back itself. What about 00:10:43.360 --> 00:10:45.919 that dual LLM pattern they mentioned? That sounds 00:10:45.919 --> 00:10:48.179 like using two AIs, right? What does LLM stand 00:10:48.179 --> 00:10:51.320 for, actually? Good question. LLM stands for 00:10:51.320 --> 00:10:53.879 large language model, which is what powers many 00:10:53.879 --> 00:10:57.139 of these advanced AIs like GPT or Gemini. And 00:10:57.139 --> 00:11:01.330 yes, the dual LLM pattern uses two AIs. One that's 00:11:01.330 --> 00:11:04.049 safe and tool -using, which never sees the raw 00:11:04.049 --> 00:11:07.049 user content, and another that is exposed to 00:11:07.049 --> 00:11:09.889 the user content but only returns symbolic outputs 00:11:09.889 --> 00:11:12.450 like a code or a classification, not free -form 00:11:12.450 --> 00:11:14.610 text that could be manipulated. It's essentially 00:11:14.610 --> 00:11:16.529 a sophisticated gatekeeper system. Okay, like 00:11:16.529 --> 00:11:19.029 one AI handles the risky stuff, the other does 00:11:19.029 --> 00:11:21.690 the work safely. Exactly. The so what here is 00:11:21.690 --> 00:11:23.990 critically important. We can't build all -powerful, 00:11:24.029 --> 00:11:26.250 completely foolproof agents yet, and maybe we 00:11:26.250 --> 00:11:28.169 shouldn't even try right now. But we can build 00:11:28.169 --> 00:11:30.179 incredibly useful agents that are... safe by 00:11:30.179 --> 00:11:32.639 design if we accept those thoughtful trade -offs. 00:11:32.720 --> 00:11:34.679 It encourages critical thinking about how we 00:11:34.679 --> 00:11:37.200 deploy and trust AI, focusing on practical security 00:11:37.200 --> 00:11:39.559 rather than idealistic perfection. That makes 00:11:39.559 --> 00:11:41.840 sense. Building safe enough for specific tasks. 00:11:42.679 --> 00:11:45.879 So what does this all mean for you, the listener, 00:11:46.120 --> 00:11:49.309 and your future workday? I mean, we've really 00:11:49.309 --> 00:11:51.190 seen that the infinite workday is definitely 00:11:51.190 --> 00:11:53.889 real. It's not just a feeling. It's backed by 00:11:53.889 --> 00:11:56.710 stats with its constant interruptions and those 00:11:56.710 --> 00:11:58.870 blurring boundaries between your work and your 00:11:58.870 --> 00:12:01.490 personal life. Your brain is indeed probably 00:12:01.490 --> 00:12:05.250 cooked by 9 .15 a .m. some days. And we've also 00:12:05.250 --> 00:12:08.230 seen AI's enormous transformative potential to 00:12:08.230 --> 00:12:10.470 automate and streamline many of those draining 00:12:10.470 --> 00:12:13.750 tasks. But crucially, we've highlighted its critical 00:12:13.750 --> 00:12:16.509 limitations and the real fundamental need for 00:12:16.509 --> 00:12:19.490 careful design. to ensure both safety and human 00:12:19.490 --> 00:12:22.059 agency in this evolving landscape. It's a powerful 00:12:22.059 --> 00:12:24.519 tool, but it needs to be wielded with real intent 00:12:24.519 --> 00:12:27.159 and foresight. Our sources truly highlight this 00:12:27.159 --> 00:12:29.460 fascinating paradox, don't they? AI could be 00:12:29.460 --> 00:12:31.659 our absolute savior from constant fragmented 00:12:31.659 --> 00:12:34.200 work, truly giving us back our focus, our time, 00:12:34.200 --> 00:12:36.899 and maybe even our sanity. Or it could just make 00:12:36.899 --> 00:12:38.759 us run faster and faster on that same broken 00:12:38.759 --> 00:12:40.879 treadmill, just with a fancier, more automated 00:12:40.879 --> 00:12:43.340 treadmill underneath us. Which leads to the final 00:12:43.340 --> 00:12:45.480 thought. This raises an important question, something 00:12:45.480 --> 00:12:47.820 for you to mull over. When you think about your 00:12:47.820 --> 00:12:50.899 ideal workday and all these incredible AI advancements, 00:12:50.919 --> 00:12:53.360 we've just discussed. What kind of future do 00:12:53.360 --> 00:12:56.559 you truly want to build with AI? How much agency 00:12:56.559 --> 00:12:59.419 do you truly want AI to have in your professional 00:12:59.419 --> 00:13:02.220 life? Because the choices we make now, collectively 00:13:02.220 --> 00:13:04.379 and individually, will shape that reality.