WEBVTT 00:00:00.000 --> 00:00:02.859 Imagine running a highly profitable YouTube channel 00:00:02.859 --> 00:00:07.200 today. But you never use a camera for your content. 00:00:07.320 --> 00:00:09.460 Right. You don't need a fancy recording studio 00:00:09.460 --> 00:00:11.539 at all. You literally never even have to show 00:00:11.539 --> 00:00:15.580 your face. Exactly. And you produce every single 00:00:15.580 --> 00:00:18.899 episode for under $2. It sounds completely impossible 00:00:18.899 --> 00:00:21.640 at first glance, but this is exactly what is 00:00:21.640 --> 00:00:23.839 happening right now. Welcome to the Deep Dive. 00:00:23.899 --> 00:00:25.980 We are really glad you are here with us today. 00:00:26.120 --> 00:00:28.600 Yeah, we have a very clear and exciting mission 00:00:28.600 --> 00:00:31.960 today. We are unpacking a fascinating 2026 guide 00:00:31.960 --> 00:00:35.640 by Max Ahn. It details how to build a fully automated 00:00:35.640 --> 00:00:38.840 YouTube channel. Specifically, an AI -generated 00:00:38.840 --> 00:00:41.579 English learning channel for a massive global 00:00:41.579 --> 00:00:44.020 audience. It's a brilliant breakdown of modern 00:00:44.020 --> 00:00:46.520 content creation. It really is. Here is our road. 00:00:46.640 --> 00:00:49.560 map for this deep dive. First, we will explore 00:00:49.560 --> 00:00:51.880 the massive global audience demand. And we're 00:00:51.880 --> 00:00:54.340 going to walk through the exact WonderCraft production 00:00:54.340 --> 00:00:57.600 workflow. Right. We will uncover some very clever 00:00:57.600 --> 00:01:00.939 hidden visual generation hacks. And finally, 00:01:01.020 --> 00:01:03.679 we will explain why this specific niche is an 00:01:03.679 --> 00:01:07.219 evergreen goldmine. The sheer scale of this opportunity 00:01:07.219 --> 00:01:10.469 is genuinely staggering. We are talking about 00:01:10.469 --> 00:01:12.890 audience numbers that rival major television 00:01:12.890 --> 00:01:15.930 networks. Let's look at the actual global audience 00:01:15.930 --> 00:01:21.909 size first. There are over 1 .5 billion people 00:01:21.909 --> 00:01:25.030 right now. They are actively learning English 00:01:25.030 --> 00:01:28.310 across the entire globe today. And they aren't 00:01:28.310 --> 00:01:30.790 just looking for dry grammar textbooks. Exactly. 00:01:30.969 --> 00:01:33.609 They're specifically searching for natural listening 00:01:33.609 --> 00:01:36.030 practice online. Yeah, they desperately want 00:01:36.030 --> 00:01:38.810 to hear real everyday conversational English. 00:01:38.989 --> 00:01:41.469 It's how people actually absorb a new language 00:01:41.469 --> 00:01:44.250 naturally. Right. This massive built -in demand 00:01:44.250 --> 00:01:47.640 creates a very serious revenue potential. The 00:01:47.640 --> 00:01:50.560 guide documents one specific, highly successful 00:01:50.560 --> 00:01:53.280 faceless channel. This channel hit one million 00:01:53.280 --> 00:01:56.000 subscribers very rapidly. It took them just nine 00:01:56.000 --> 00:01:58.000 months to reach that milestone. That kind of 00:01:58.000 --> 00:02:00.019 rapid growth is almost completely unheard of. 00:02:00.120 --> 00:02:03.000 Today, they generate roughly 3 .8 million monthly 00:02:03.000 --> 00:02:05.079 views. And we actually know for a fact they are 00:02:05.079 --> 00:02:07.379 fully monetized. You can easily verify this by 00:02:07.379 --> 00:02:09.659 looking at their YouTube page. They have a verified 00:02:09.659 --> 00:02:12.289 super thanks button on their videos. YouTube 00:02:12.289 --> 00:02:14.770 only gives that feature to officially partnered 00:02:14.770 --> 00:02:17.469 creators. The financial breakdown of this channel 00:02:17.469 --> 00:02:20.530 is very interesting. Educational content like 00:02:20.530 --> 00:02:24.169 this earns a very solid RPM. RPM is simply the 00:02:24.169 --> 00:02:28.689 ad revenue earned per 1000 video views. Advertisers 00:02:28.689 --> 00:02:30.830 love educational content because the audience 00:02:30.830 --> 00:02:35.030 is highly engaged. The average RPM here is three 00:02:35.030 --> 00:02:37.979 to eight dollars. But it actually goes much higher 00:02:37.979 --> 00:02:40.199 in certain demographic regions. Yeah, it spikes 00:02:40.199 --> 00:02:42.819 up to $14 in high -tier countries. We're talking 00:02:42.819 --> 00:02:46.400 about viewers in the U .S., U .K., and Australia. 00:02:46.680 --> 00:02:49.159 So the monthly revenue becomes very substantial 00:02:49.159 --> 00:02:52.400 very quickly. The estimated monthly revenue for 00:02:52.400 --> 00:02:54.740 this single faceless channel. It ranges from 00:02:54.740 --> 00:02:57.800 $11 ,000 to $31 ,000. That is life -changing 00:02:57.800 --> 00:03:00.560 money for a completely solo digital creator. 00:03:00.780 --> 00:03:02.960 Absolutely. And the content they make is highly 00:03:02.960 --> 00:03:05.909 evergreen. It remains useful and deeply relevant 00:03:05.909 --> 00:03:08.370 for many years. A video about ordering coffee 00:03:08.370 --> 00:03:10.490 never really goes out of date. Language learners 00:03:10.490 --> 00:03:13.349 also rely very heavily on repeat listening. They 00:03:13.349 --> 00:03:15.750 will play the exact same video multiple times 00:03:15.750 --> 00:03:18.669 a week. They need that repetition to truly lock 00:03:18.669 --> 00:03:21.349 in the new vocabulary. This repeat listening 00:03:21.349 --> 00:03:24.310 signals extreme quality to the YouTube algorithm. 00:03:24.729 --> 00:03:27.310 The algorithm then heavily pushes the video to 00:03:27.310 --> 00:03:30.009 even more learners. Timmy, now let's compare 00:03:30.009 --> 00:03:31.949 the historical production costs for a moment. 00:03:32.280 --> 00:03:34.539 Traditional voice actors would charge $500 to 00:03:34.539 --> 00:03:37.439 $1 ,000. That was the standard cost for just 00:03:37.439 --> 00:03:40.099 one single episode. It was a massive financial 00:03:40.099 --> 00:03:43.300 barrier for most independent creators. But the 00:03:43.300 --> 00:03:47.500 2026 AI cost is under $2. It's incredible. Two 00:03:47.500 --> 00:03:50.680 sec silence. It completely changes the fundamental 00:03:50.680 --> 00:03:54.240 economics of digital content creation. Before 00:03:54.240 --> 00:03:55.740 we move to the workflow, let me ask you this. 00:03:55.860 --> 00:03:58.379 Why does this specific language learning niche 00:03:58.379 --> 00:04:02.039 outpace typical entertainment content? Evergreen 00:04:02.039 --> 00:04:04.620 topics and repeat listeners perfectly feed the 00:04:04.620 --> 00:04:06.919 U2 algorithm's engagement metrics. That makes 00:04:06.919 --> 00:04:09.159 perfect sense. Now let's look at the first critical 00:04:09.159 --> 00:04:12.060 production step. We need to examine the AI scripting 00:04:12.060 --> 00:04:14.460 engine very closely. This is where the WonderCraft 00:04:14.460 --> 00:04:17.519 platform becomes incredibly powerful. The entire 00:04:17.519 --> 00:04:19.720 workflow runs directly through WonderCraft's 00:04:19.720 --> 00:04:23.160 system. It's an all -in -one automated AI podcasting 00:04:23.160 --> 00:04:25.449 platform. You don't have to jump constantly between 00:04:25.449 --> 00:04:27.990 five different apps. The script generation process 00:04:27.990 --> 00:04:31.529 uses Wondercraft's built -in AI agent. The agent 00:04:31.529 --> 00:04:34.389 is simply named Wanda by the developers. And 00:04:34.389 --> 00:04:37.529 the best part of this is the actual cost. Scripting 00:04:37.529 --> 00:04:40.149 costs absolutely zero credits on the free tier. 00:04:40.310 --> 00:04:42.850 You get high quality professional writing completely 00:04:42.850 --> 00:04:46.110 for free. Wanda uses the Claude Sonnet 4 model 00:04:46.110 --> 00:04:49.269 behind the scenes. That is an AI model specifically 00:04:49.269 --> 00:04:53.389 tuned for natural human conversation. It genuinely 00:04:53.389 --> 00:04:55.990 understands how human beings actually talk to 00:04:55.990 --> 00:04:57.990 each other. But the prompting strategy is the 00:04:57.990 --> 00:05:00.310 most critical part here. You can't just ask the 00:05:00.310 --> 00:05:02.990 AI for a generic script. No, you must define 00:05:02.990 --> 00:05:06.769 very specific identities for your AI hosts. This 00:05:06.769 --> 00:05:09.149 is exactly how you make the banter feel totally 00:05:09.149 --> 00:05:12.069 real. For example, maybe your first virtual host 00:05:12.069 --> 00:05:14.399 is named Lucy. You tell the AI that Lucy likes 00:05:14.399 --> 00:05:16.620 high -energy morning exercise. Right. Your second 00:05:16.620 --> 00:05:19.120 virtual host is a guy named Mike. Mike prefers 00:05:19.120 --> 00:05:21.379 very slow mornings with a hot cup of coffee. 00:05:21.500 --> 00:05:23.959 Those tiny personality details create a realistic 00:05:23.959 --> 00:05:26.620 friction between the hosts. It gives them distinct 00:05:26.620 --> 00:05:29.040 points of view during the conversation. You also 00:05:29.040 --> 00:05:31.720 need to set a strict target episode length. The 00:05:31.720 --> 00:05:34.920 ideal length is between 10 and 14 minutes. That 00:05:34.920 --> 00:05:38.079 is the absolute sweet spot for viewer retention. 00:05:39.040 --> 00:05:41.480 In this niche. Any longer, and the language learners 00:05:41.480 --> 00:05:45.240 get completely cognitively exhausted. But here's 00:05:45.240 --> 00:05:47.779 the most critical insight from the entire guide. 00:05:48.519 --> 00:05:51.139 WonderCraft has a unique feature called the auto 00:05:51.139 --> 00:05:53.899 -revision loop. Wanda doesn't just write the 00:05:53.899 --> 00:05:56.560 initial script and immediately stop. It actually 00:05:56.560 --> 00:05:59.300 self -audits the exact work it just created. 00:05:59.519 --> 00:06:03.060 This specific feature completely blew my mind 00:06:03.060 --> 00:06:05.540 when I first saw it. I still wrestle with prompt 00:06:05.540 --> 00:06:08.250 drift myself, honestly. Prompt grift is when 00:06:08.250 --> 00:06:10.910 the AI slowly forgets your original text instructions. 00:06:11.170 --> 00:06:13.629 Right, and Wanda completely solves that annoying, 00:06:13.829 --> 00:06:17.029 time -consuming problem natively. If a generated 00:06:17.029 --> 00:06:20.029 script is too short, say 8 minutes long, Wanda 00:06:20.029 --> 00:06:22.449 automatically recognizes the error and expands 00:06:22.449 --> 00:06:25.129 the content sections. It loops back until it 00:06:25.129 --> 00:06:27.430 hits that 12 -minute sweet spot perfectly. It 00:06:27.430 --> 00:06:29.250 is like having a tireless digital co -writer 00:06:29.250 --> 00:06:31.689 working right alongside you. It saves you from 00:06:31.689 --> 00:06:35.009 doing endless, frustrating manual rewrites. Beat. 00:06:35.780 --> 00:06:38.459 So, thinking carefully about this highly automated 00:06:38.459 --> 00:06:41.680 writing process, how do you avoid spending hours 00:06:41.680 --> 00:06:44.939 tweaking AI prompts for length? Wanda's auto 00:06:44.939 --> 00:06:47.819 -revision loop self -audits and expands the script 00:06:47.819 --> 00:06:50.120 to the perfect length automatically. That level 00:06:50.120 --> 00:06:53.220 of automation is truly incredible. Now we move 00:06:53.220 --> 00:06:56.019 to step two of the production workflow. We have 00:06:56.019 --> 00:06:58.420 to turn that written script into actual spoken 00:06:58.420 --> 00:07:01.779 audio. This specific step does use some of your 00:07:01.779 --> 00:07:04.019 platform credits. Converting the script to audio 00:07:04.019 --> 00:07:07.660 takes about 127 credits. That is the standard 00:07:07.660 --> 00:07:10.560 cost for a full 12 -minute podcast episode. It 00:07:10.560 --> 00:07:12.420 is still remarkably cheap when you actually do 00:07:12.420 --> 00:07:14.560 the math. During this step, you deliberately 00:07:14.560 --> 00:07:17.339 assign specific accents to the hosts. You can 00:07:17.339 --> 00:07:20.439 easily choose US, UK, or Australian regional 00:07:20.439 --> 00:07:22.620 accents. You really want to match the geography 00:07:22.620 --> 00:07:25.220 of your channel's specific theme. But there is 00:07:25.220 --> 00:07:27.779 a very crucial technical mistake you must avoid 00:07:27.779 --> 00:07:30.600 here. WonderCraft offers a highly promoted feature 00:07:30.600 --> 00:07:33.500 called Convo Mode. Convo Mode is a setting that 00:07:33.500 --> 00:07:37.040 blends vocal clips for casual banter. It is genuinely 00:07:37.040 --> 00:07:39.160 great for fast -paced, high -energy entertainment 00:07:39.160 --> 00:07:42.459 podcasts. But language learners absolutely need 00:07:42.459 --> 00:07:45.879 you to use Standard Mode instead. This is a subtle 00:07:45.879 --> 00:07:48.120 but incredibly important technical choice for 00:07:48.120 --> 00:07:50.519 creators. Standard Mode is a setting providing 00:07:50.519 --> 00:07:53.300 measured pacing and deliberate acoustic clarity. 00:07:54.099 --> 00:07:57.480 Every single word is spoken with absolute distinct 00:07:57.480 --> 00:08:01.339 acoustic clarity. Non -native speakers desperately 00:08:01.339 --> 00:08:04.300 need that auditory space to process the new vocabulary. 00:08:04.319 --> 00:08:07.519 If the AI talks too fast, the learners will just 00:08:07.519 --> 00:08:10.189 click away. They simply can't follow the rapid 00:08:10.189 --> 00:08:12.589 rhythm of conversational overlaps. Of course, 00:08:12.670 --> 00:08:14.550 AI -generated voices aren't always completely 00:08:14.550 --> 00:08:17.290 flawless. Sometimes you will encounter minor 00:08:17.290 --> 00:08:19.529 glitches in the initial audio generation. Yeah, 00:08:19.569 --> 00:08:21.810 you might hear an odd rhythm or a weird, unnatural 00:08:21.810 --> 00:08:24.790 mispronunciation. The platform handles this specific 00:08:24.790 --> 00:08:27.610 problem very gracefully for creators. You get 00:08:27.610 --> 00:08:30.709 two free audio regenerations per line of dialogue. 00:08:31.199 --> 00:08:33.360 You can easily fix those odd rhythms without 00:08:33.360 --> 00:08:35.679 spending any extra credits. It gives you total 00:08:35.679 --> 00:08:37.960 quality control over the final audio output. 00:08:38.179 --> 00:08:40.639 You ensure the pronunciation is totally flawless 00:08:40.639 --> 00:08:43.860 before moving on. Two -sec silence. Thinking 00:08:43.860 --> 00:08:46.320 deeply about the listening experience for a non 00:08:46.320 --> 00:08:49.360 -native speaker. Why might sounding too casually 00:08:49.360 --> 00:08:52.200 human actually ruin the entire channel? Standard 00:08:52.200 --> 00:08:55.120 mode ensures the slower, crystal -clear pronunciation 00:08:55.120 --> 00:08:58.120 that language learners absolutely need. Exactly. 00:08:58.340 --> 00:09:00.679 Acoustic clarity is the single most important 00:09:00.679 --> 00:09:04.000 metric here. Now we reach steps three and four 00:09:04.000 --> 00:09:06.659 in a comprehensive guide. We need to add visuals, 00:09:06.899 --> 00:09:09.700 export the video, and review final costs. This 00:09:09.700 --> 00:09:12.000 is where the audio podcast truly becomes a YouTube 00:09:12.000 --> 00:09:14.659 video. WonderCraft has a dedicated video mode 00:09:14.659 --> 00:09:17.269 built right into the platform. It is a seamless 00:09:17.269 --> 00:09:19.509 one -click transition from the audio editing 00:09:19.509 --> 00:09:21.929 workspace. Your entire audio timeline carries 00:09:21.929 --> 00:09:24.850 over automatically to the video editor. Successful 00:09:24.850 --> 00:09:27.870 channels in this niche use three very specific 00:09:27.870 --> 00:09:31.129 visual elements. First, they use a highly polished, 00:09:31.250 --> 00:09:34.090 relevant static background image. Second, they 00:09:34.090 --> 00:09:36.629 use an animated audiogram that pulses dynamically 00:09:36.629 --> 00:09:39.519 with the sound. Third, they use large, perfectly 00:09:39.519 --> 00:09:41.899 synchronized text captions on the screen. Those 00:09:41.899 --> 00:09:44.620 visual captions are absolutely vital for a learner's 00:09:44.620 --> 00:09:47.120 reading comprehension. The guide strongly recommends 00:09:47.120 --> 00:09:49.919 using the block read caption style. Block read 00:09:49.919 --> 00:09:52.960 style is large text highlighting each word precisely 00:09:52.960 --> 00:09:55.659 as it is spoken. You deliberately put the text 00:09:55.659 --> 00:09:58.279 on a solid black background for maximum contrast. 00:09:58.659 --> 00:10:01.980 It acts like a strong visual anchor for the listener's 00:10:01.980 --> 00:10:04.539 processing brain. Generating that perfect background 00:10:04.539 --> 00:10:07.549 image requires some very clever hacks. You can 00:10:07.549 --> 00:10:10.090 generate it directly inside WonderCraft if you 00:10:10.090 --> 00:10:12.769 prefer convenience. They use the NanoBanana 2 00:10:12.769 --> 00:10:15.769 image model for nine credits. That is very convenient, 00:10:15.889 --> 00:10:17.970 but there are actually much cheaper ways to do 00:10:17.970 --> 00:10:20.389 it. You can easily use Google Gemini, specifically 00:10:20.389 --> 00:10:23.190 Google Flow, for free. It gives you unlimited 00:10:23.190 --> 00:10:25.850 high -quality image generations at absolutely 00:10:25.850 --> 00:10:28.990 zero cost. But the guide highlights a truly underrated 00:10:28.990 --> 00:10:32.639 trick using Leonardo AI instead. Leonardo AI 00:10:32.639 --> 00:10:36.139 gives every single user 150 free daily credits. 00:10:36.299 --> 00:10:38.940 Inside Leonardo, the premium Nano Banana 2 model 00:10:38.940 --> 00:10:43.139 costs 80 to 120 credits. This simple math creates 00:10:43.139 --> 00:10:45.379 a massive daily advantage for solo creators. 00:10:45.600 --> 00:10:48.620 It means you get one top -tier, watermark -free 00:10:48.620 --> 00:10:51.419 background image every single day. And it costs 00:10:51.419 --> 00:10:53.639 you absolutely zero dollars to generate that 00:10:53.639 --> 00:10:56.019 asset. You basically get full commercial rights 00:10:56.019 --> 00:11:01.399 to premium AI art every morning. Whoa. Imagine 00:11:01.399 --> 00:11:04.039 scaling to a global education network for a dollar 00:11:04.039 --> 00:11:06.539 a day. It is completely redefining who gets to 00:11:06.539 --> 00:11:09.299 be a massive global broadcaster. It is truly 00:11:09.299 --> 00:11:11.240 leveling the digital playing field in a very 00:11:11.240 --> 00:11:14.519 profound way. You can also optionally add a 10 00:11:14.519 --> 00:11:17.309 -second AI intro jingle. You use stable audio 00:11:17.309 --> 00:11:21.269 2 .5 and it costs just 0 .4 credits. It adds 00:11:21.269 --> 00:11:22.950 a really nice touch of professional branding 00:11:22.950 --> 00:11:25.990 to the episode. Finally, you do a quick final 00:11:25.990 --> 00:11:28.649 export check in the video editor. You simply 00:11:28.649 --> 00:11:31.669 drag the visual timeline to perfectly match the 00:11:31.669 --> 00:11:33.870 audio length. Then you simply export the final 00:11:33.870 --> 00:11:37.149 video file in 720p resolution. That specific 00:11:37.149 --> 00:11:39.370 resolution is completely fine since the background 00:11:39.370 --> 00:11:41.620 image is mostly static. The total production 00:11:41.620 --> 00:11:44.200 cost breakdown is genuinely a modern marvel of 00:11:44.200 --> 00:11:47.480 efficiency. You use about 136 credits total per 00:11:47.480 --> 00:11:50.379 final video. That comes out to roughly $1 .09 00:11:50.379 --> 00:11:53.379 per episode. It's amazing. Looking carefully 00:11:53.379 --> 00:11:55.820 at this entire highly optimized digital production 00:11:55.820 --> 00:11:59.220 pipeline. How does a solo creator afford high 00:11:59.220 --> 00:12:02.279 -end visuals on a $2 budget? Leonardo AI provides 00:12:02.279 --> 00:12:05.139 daily free access to premium image models like 00:12:05.139 --> 00:12:08.659 Nano Banana 2. It is a truly brilliant way to 00:12:08.659 --> 00:12:12.080 fiercely optimize your limited resources. Midroll 00:12:12.080 --> 00:12:15.200 sponsor placeholder. Let's take a moment to really 00:12:15.200 --> 00:12:17.980 look at the big idea here. We want to summarize 00:12:17.980 --> 00:12:21.039 the core thesis of this entire guide calmly. 00:12:21.299 --> 00:12:23.840 It is deeply important to step back and see the 00:12:23.840 --> 00:12:26.259 larger structural picture. This is currently 00:12:26.259 --> 00:12:28.980 the lowest barrier, high revenue digital channel 00:12:28.980 --> 00:12:31.389 model available anywhere. You don't need expensive 00:12:31.389 --> 00:12:34.269 cameras, complex lighting, or difficult video 00:12:34.269 --> 00:12:36.730 editing software. You literally just need a basic 00:12:36.730 --> 00:12:38.950 internet connection and a very clear strategy. 00:12:39.269 --> 00:12:42.309 The true magic isn't just the underlying AI technology 00:12:42.309 --> 00:12:45.629 itself. It is the powerful combination of highly 00:12:45.629 --> 00:12:48.309 efficient, incredibly rapid content production. 00:12:48.570 --> 00:12:51.169 You consistently build an entire episode in under 00:12:51.169 --> 00:12:54.149 an hour for under $2. You systematically combine 00:12:54.149 --> 00:12:56.830 that ruthless efficiency with massive, built 00:12:56.830 --> 00:12:59.919 -in global audience demand. and you heavily leverage 00:12:59.919 --> 00:13:02.539 the compounding nature of evergreen educational 00:13:02.539 --> 00:13:05.340 content. Your entire back catalog continues to 00:13:05.340 --> 00:13:08.320 reliably earn money while you sleep. Every single 00:13:08.320 --> 00:13:11.740 video is like planting a digital seed that grows 00:13:11.740 --> 00:13:15.440 indefinitely. Pure consistency becomes your ultimate 00:13:15.440 --> 00:13:17.779 competitive advantage in this specific niche. 00:13:18.080 --> 00:13:21.299 You can easily maintain a highly rigorous, demanding 00:13:21.299 --> 00:13:24.200 weekly upload schedule. The automated technology 00:13:24.200 --> 00:13:26.879 essentially does all the heavy creative lifting 00:13:26.879 --> 00:13:29.529 for you. You just reliably show up and carefully 00:13:29.529 --> 00:13:32.710 guide the AI tools every week. You are basically 00:13:32.710 --> 00:13:36.330 managing a complex system rather than doing grueling 00:13:36.330 --> 00:13:39.690 manual labor. It is like stacking Lego blocks 00:13:39.690 --> 00:13:43.009 of data to meticulously build a digital asset. 00:13:43.250 --> 00:13:45.909 The historical barrier to entry has quite literally 00:13:45.909 --> 00:13:47.990 never been this low. We want to leave you with 00:13:47.990 --> 00:13:50.509 a lingering, deeply provocative thought today. 00:13:50.610 --> 00:13:52.750 We've just mapped out something truly remarkable 00:13:52.750 --> 00:13:55.519 and somewhat unsettling together. Perfectly measured, 00:13:55.659 --> 00:13:58.799 infinitely patient AI voices are currently teaching 00:13:58.799 --> 00:14:01.419 English to billions. They never get physically 00:14:01.419 --> 00:14:03.519 tired. They never lose their temper or patience 00:14:03.519 --> 00:14:06.580 with a struggling student. If AI can seamlessly 00:14:06.580 --> 00:14:08.919 simulate conversational nuance this perfectly 00:14:08.919 --> 00:14:12.100 for a few pennies, what other highly complex 00:14:12.100 --> 00:14:14.779 human skills or dense subjects are completely 00:14:14.779 --> 00:14:17.799 next? What else is about to be completely democratized 00:14:17.799 --> 00:14:20.940 by faceless automated educators? It really makes 00:14:20.940 --> 00:14:23.480 you wonder what the ultimate future of traditional 00:14:23.480 --> 00:14:26.019 schooling actually looks like. It is a massive, 00:14:26.120 --> 00:14:29.179 profound shift in how vital knowledge is distributed 00:14:29.179 --> 00:14:31.740 globally. Thank you so much for taking this deep 00:14:31.740 --> 00:14:34.309 dive with us today. We highly encourage you to 00:14:34.309 --> 00:14:37.070 thoughtfully test out an AI tool this week. Just 00:14:37.070 --> 00:14:39.169 play around with it to see this exact workflow 00:14:39.169 --> 00:14:41.409 in action yourself. You might be genuinely surprised 00:14:41.409 --> 00:14:43.909 by what you can independently create. Take care 00:14:43.909 --> 00:14:46.049 of yourself out there and please keep learning. 00:14:46.509 --> 00:14:47.570 Our Retiro Music.