WEBVTT 00:00:00.000 --> 00:00:04.259 The era of the AI monopoly is dead beat. Today, 00:00:04.360 --> 00:00:09.080 we are looking at a $4 billion paradox. AI is 00:00:09.080 --> 00:00:11.919 quite literally everywhere you look, but human 00:00:11.919 --> 00:00:14.720 trust is vanishing right before our eyes. It 00:00:14.720 --> 00:00:17.059 really is a massive structural shift. We are 00:00:17.059 --> 00:00:20.140 seeing real fractures in user loyalty today. 00:00:20.300 --> 00:00:22.839 Yeah. The honeymoon phase is officially over. 00:00:23.640 --> 00:00:26.280 Welcome to the Deep Dive for today. We have a 00:00:26.280 --> 00:00:28.879 truly fascinating stack of sources to review. 00:00:29.059 --> 00:00:31.660 We really do. First, we are looking at Sensor 00:00:31.660 --> 00:00:35.240 Tower's 2026 State of AI report. Right. We also 00:00:35.240 --> 00:00:38.740 have explosive new WordPress VIP data to untack. 00:00:39.179 --> 00:00:41.399 This data specifically covers the current state 00:00:41.399 --> 00:00:43.899 of consumer trust. It is super revealing. Plus, 00:00:43.979 --> 00:00:46.840 we are tracking major tech acquisitions and massive 00:00:46.840 --> 00:00:49.240 lawsuits. Our central mission today is unpacking 00:00:49.240 --> 00:00:51.399 this shift. Yeah. Overall application downloads 00:00:51.399 --> 00:00:54.200 are actually starting to slow down. But billions 00:00:54.200 --> 00:00:56.799 of dollars are moving behind the scenes. AI is 00:00:56.799 --> 00:00:58.920 rapidly transitioning away from being a shiny 00:00:58.920 --> 00:01:01.579 toy. Right. It is becoming deeply embedded into 00:01:01.579 --> 00:01:04.159 our daily infrastructure. Let us start by looking 00:01:04.159 --> 00:01:07.049 at these market fractures. The default choice 00:01:07.049 --> 00:01:10.170 is no longer the only choice available. Exactly. 00:01:10.930 --> 00:01:13.349 ChatGPT's market share has officially dropped 00:01:13.349 --> 00:01:19.409 below 50%. It? It was sitting at exactly 46 .4 00:01:19.409 --> 00:01:22.890 % in May. That is a truly staggering metric to 00:01:22.890 --> 00:01:25.469 consider. Just a year ago, they were the absolute 00:01:25.469 --> 00:01:27.730 default choice. Yeah, they were. They had a complete 00:01:27.730 --> 00:01:31.219 monopoly on public attention. But now... Hungry 00:01:31.219 --> 00:01:33.480 competitors are actively eating their massive 00:01:33.480 --> 00:01:36.299 pie. Google's Gemini has steadily climbed up 00:01:36.299 --> 00:01:40.280 to 27 .7%. And Anthropic's Claude currently sits 00:01:40.280 --> 00:01:43.340 at a solid 10 .3%. The rest of the pack holds 00:01:43.340 --> 00:01:46.519 less than 5%. Right. That smaller group includes 00:01:46.519 --> 00:01:49.859 models like Grok and Perplexity. But the real 00:01:49.859 --> 00:01:53.060 takeaway is that users are highly mobile. They're 00:01:53.060 --> 00:01:55.540 constantly shopping around and testing the competition. 00:01:55.840 --> 00:01:57.819 I think we all feel that constant friction today. 00:01:57.879 --> 00:02:00.060 I will admit I still wrestle with prompt drift 00:02:00.060 --> 00:02:02.480 myself. Two sec silence. Oh, absolutely. Prompt 00:02:02.480 --> 00:02:04.500 drift is when an AI model changes how it answers 00:02:04.500 --> 00:02:06.980 over time. You spend three hours tuning a prompt 00:02:06.980 --> 00:02:08.979 for your workflow. Yeah, we have all been there. 00:02:09.139 --> 00:02:11.939 It works absolutely perfectly for a few weeks. 00:02:12.000 --> 00:02:16.139 Then a month later, it spits out complete corporate 00:02:16.139 --> 00:02:19.300 garbage. It is the worst. It drives me absolutely. 00:02:19.870 --> 00:02:21.990 Insane. Right. And that frustration pushes you 00:02:21.990 --> 00:02:24.569 to try something new. You start testing Claude 00:02:24.569 --> 00:02:26.909 or Gemini to get better results. Exactly. You 00:02:26.909 --> 00:02:29.389 want your old workflow back. The default choice 00:02:29.389 --> 00:02:32.169 just cannot hold your loyalty anymore. We also 00:02:32.169 --> 00:02:34.810 see users switching based on corporate actions. 00:02:35.330 --> 00:02:37.689 OpenAI signed a Defense Department deal back 00:02:37.689 --> 00:02:40.830 in February. That triggered a measurable spike 00:02:40.830 --> 00:02:43.509 in application uninstalls globally. People are 00:02:43.509 --> 00:02:45.669 paying incredibly close attention to corporate 00:02:45.669 --> 00:02:49.520 decisions. That defense deal. changed the entire 00:02:49.520 --> 00:02:52.039 public perception of open AI. Yeah, it really 00:02:52.039 --> 00:02:54.699 did. Users realize their casual chats might fund 00:02:54.699 --> 00:02:57.560 military research. It completely breaks the illusion 00:02:57.560 --> 00:02:59.939 of a harmless digital assistant. Right. They 00:02:59.939 --> 00:03:01.819 do not want their data weaponized in any way. 00:03:01.960 --> 00:03:04.599 It shows consumer loyalty is incredibly fragile 00:03:04.599 --> 00:03:07.020 right now, but at the exact same time, people 00:03:07.020 --> 00:03:10.719 are spending more. Yeah, a lot more. AI application 00:03:10.719 --> 00:03:16.139 spending jumped to $4 .2 billion recently. That 00:03:16.139 --> 00:03:18.400 is the recorded spending for the first half of 00:03:18.400 --> 00:03:22.439 2026. Wow. It is a massive jump from $1 .83 billion 00:03:22.439 --> 00:03:25.240 last year. People are clearly willing to pay 00:03:25.240 --> 00:03:28.319 for high utility. Anthropic is actually leading 00:03:28.319 --> 00:03:32.599 the pack with paid conversions. A full 13 % of 00:03:32.599 --> 00:03:35.680 cloud users are actively subscribing. I am looking 00:03:35.680 --> 00:03:38.319 at this 13 % conversion rate. Is that just because 00:03:38.319 --> 00:03:40.699 OpenAI users are getting completely frustrated? 00:03:41.020 --> 00:03:43.479 No. Or is Anthropic actually offering a fundamentally 00:03:43.479 --> 00:03:46.370 different writing engine? It largely comes down 00:03:46.370 --> 00:03:49.030 to the quality of the raw output. Users are demanding 00:03:49.030 --> 00:03:51.370 much better writing and deeper contextual memory. 00:03:51.590 --> 00:03:53.689 Right. They want a tool that actually remembers 00:03:53.689 --> 00:03:56.189 their specific project. But even the paid premium 00:03:56.189 --> 00:03:58.389 peers are facing serious issues. There is an 00:03:58.389 --> 00:04:00.750 ongoing lawsuit over Claude's Max tier. Yeah, 00:04:00.789 --> 00:04:03.969 that is a huge mess. That is their $200 per month 00:04:03.969 --> 00:04:06.110 premium subscription plan. Yeah, one subscriber 00:04:06.110 --> 00:04:08.889 says it failed them entirely. They claim the 00:04:08.889 --> 00:04:12.129 promised 20 times usage bump did not match reality. 00:04:12.719 --> 00:04:15.919 Now they are sparking loud demands for mass customer 00:04:15.919 --> 00:04:18.720 refunds. It highlights just how high the stakes 00:04:18.720 --> 00:04:21.439 have become. We are also seeing advertising creep 00:04:21.439 --> 00:04:24.540 into these paid platforms. Oh, yeah. OpenAI has 00:04:24.540 --> 00:04:27.079 been quietly scaling their ad placements since 00:04:27.079 --> 00:04:31.519 February. By May, 17 % of ChatGPT daily users 00:04:31.519 --> 00:04:34.019 were seeing ads. Nobody wants to see advertisements 00:04:34.019 --> 00:04:36.800 when using a productivity tool. Exactly. Especially 00:04:36.800 --> 00:04:38.779 when they are trying to focus on complex coding 00:04:38.779 --> 00:04:41.160 tasks. Yeah. It completely breaks your flow state. 00:04:41.449 --> 00:04:43.430 This brings us to a fascinating regional shift. 00:04:43.649 --> 00:04:45.970 Overall application download growth is actually 00:04:45.970 --> 00:04:48.990 starting to naturally slow down. Beja even saw 00:04:48.990 --> 00:04:53.170 a 3 .3 % dip in downloads recently. So with overall 00:04:53.170 --> 00:04:55.610 downloads slowing down, especially the 3 .3 % 00:04:55.610 --> 00:04:59.209 dip in Asia, why are consumers abandoning the 00:04:59.209 --> 00:05:01.910 default monopoly? It is a pivot from exploration 00:05:01.910 --> 00:05:05.899 to high -stakes utility. Users will not tolerate 00:05:05.899 --> 00:05:08.800 ads or broken promises anymore. Right. They demand 00:05:08.800 --> 00:05:11.639 highly reliable performance when paying premium 00:05:11.639 --> 00:05:13.959 subscription prices. So it's a demand for trust 00:05:13.959 --> 00:05:18.079 and ad free, high quality output. Exactly. The 00:05:18.079 --> 00:05:21.019 shiny novelty is completely worn off. So if users 00:05:21.019 --> 00:05:24.319 are actively punishing broken promises, where 00:05:24.319 --> 00:05:26.779 is the industry heading? Well, it is shifting 00:05:26.779 --> 00:05:29.319 entirely. Users are demanding higher utility. 00:05:29.600 --> 00:05:32.560 They want ad -free experiences. This brings us 00:05:32.560 --> 00:05:35.699 to the actual hardware level. The technology 00:05:35.699 --> 00:05:38.459 is embedding directly into our operating systems. 00:05:38.800 --> 00:05:41.720 It is weaving invisibly into our daily workflows 00:05:41.720 --> 00:05:44.639 and enterprise stacks. Big tech companies are 00:05:44.639 --> 00:05:46.800 integrating these models incredibly deeply now. 00:05:46.939 --> 00:05:49.139 Right. It is no longer just a separate browser 00:05:49.139 --> 00:05:52.220 chat window. Right. Android 17 is currently rolling 00:05:52.220 --> 00:05:55.600 out with massive new native tools. They added 00:05:55.600 --> 00:05:58.000 Gemini Omni video editing directly into their 00:05:58.000 --> 00:06:00.199 phones. You can edit complex video timelines 00:06:00.199 --> 00:06:02.500 with a simple spoken prompt. And Lyria 3 music 00:06:02.500 --> 00:06:05.060 generation is also built right in. They're expanding 00:06:05.060 --> 00:06:07.339 these baseline AI features across phones and 00:06:07.339 --> 00:06:10.120 watches. Even ChatGPT finally added pinned and 00:06:10.120 --> 00:06:12.420 grouped project chats. You can organize your 00:06:12.420 --> 00:06:14.899 workspace on the main web interface now. It is 00:06:14.899 --> 00:06:16.759 honestly amazing that basic feature took them 00:06:16.759 --> 00:06:19.519 so long. Yes, seriously. But the broader ecosystem 00:06:19.519 --> 00:06:22.750 of third -party tools is expanding rapidly. We 00:06:22.750 --> 00:06:24.810 are seeing the massive rise of highly personalized 00:06:24.810 --> 00:06:27.589 desktop tools. The industry is calling these 00:06:27.589 --> 00:06:31.709 new integrations empowered AI tools. Right. Let 00:06:31.709 --> 00:06:34.470 us look at Goldfish for a second. It privately 00:06:34.470 --> 00:06:37.410 tracks your Mac computer memory across applications. 00:06:38.519 --> 00:06:41.100 Think of Goldfish as a digital shadow sitting 00:06:41.100 --> 00:06:44.100 right behind you. It takes perfect notes on every 00:06:44.100 --> 00:06:46.740 single email you ignore. Wow. It tracks every 00:06:46.740 --> 00:06:50.060 browser tab you leave open. It remembers your 00:06:50.060 --> 00:06:52.100 context across entirely different applications 00:06:52.100 --> 00:06:55.379 seamlessly. It synthesizes all that background 00:06:55.379 --> 00:06:58.120 data into your next document. That is wild. Then 00:06:58.120 --> 00:07:00.360 you have Invoco, which is a conversational desktop 00:07:00.360 --> 00:07:02.779 helper. You can literally talk to it out loud 00:07:02.779 --> 00:07:05.259 while you work. Right. It handles repetitive 00:07:05.259 --> 00:07:08.220 clicking tasks across all your open apps. applications. 00:07:08.540 --> 00:07:11.620 Maker's Claw is another fascinating example for 00:07:11.620 --> 00:07:14.160 workplace communication channels. They use what 00:07:14.160 --> 00:07:17.980 are called containerized agents for Slack. Containerized 00:07:17.980 --> 00:07:20.439 agents are independent software that performs 00:07:20.439 --> 00:07:23.740 tasks without constant instructions. Exactly. 00:07:23.980 --> 00:07:26.879 They run 24 -7 in their own secure digital memory. 00:07:27.060 --> 00:07:29.220 You can add them with one click to your team's 00:07:29.220 --> 00:07:31.740 channel. Right. They schedule meetings and draft 00:07:31.740 --> 00:07:34.319 replies without ever needing a break. There is 00:07:34.319 --> 00:07:36.360 also peak routine for highly personal health 00:07:36.360 --> 00:07:39.160 data tracking. It connects your sleep, ambient 00:07:39.160 --> 00:07:41.779 sunlight, exercise, and daily calories. Yeah. 00:07:41.920 --> 00:07:44.079 It tracks your mood and hydration levels all 00:07:44.079 --> 00:07:46.579 day long. Then it tells you exactly what your 00:07:46.579 --> 00:07:49.519 physical body actually needs. It removes all 00:07:49.519 --> 00:07:52.680 the guesswork from your daily routine. But the 00:07:52.680 --> 00:07:55.259 enterprise costs for all this are getting truly 00:07:55.259 --> 00:07:58.160 astronomical. Oh, for sure. Microsoft Copilot 00:07:58.160 --> 00:08:00.920 Cowork. might actually integrate DeepSeq alongside 00:08:00.920 --> 00:08:03.259 their current models. They want to run it alongside 00:08:03.259 --> 00:08:06.139 open AI and anthropic models. Why would they 00:08:06.139 --> 00:08:08.759 need a third model in the mix? Because heavy 00:08:08.759 --> 00:08:11.339 users are running hundreds of complex background 00:08:11.339 --> 00:08:14.660 tasks weekly. Those constant background actions 00:08:14.660 --> 00:08:18.079 generate massive, completely unsustainable enterprise 00:08:18.079 --> 00:08:22.040 API bills. Right. API bills are costs companies 00:08:22.040 --> 00:08:24.639 pay to access another software's data systems. 00:08:24.879 --> 00:08:27.480 Right. Every single time the AI thinks, the company 00:08:27.480 --> 00:08:30.519 pays a fraction of a... If 10 ,000 employees 00:08:30.519 --> 00:08:34.200 run tasks all day, that cost explodes. DeepSeek 00:08:34.200 --> 00:08:36.299 is significantly cheaper for those basic routing 00:08:36.299 --> 00:08:40.529 tasks. Two secs, silence. Whoa. I have to admit, 00:08:40.629 --> 00:08:43.269 I am completely awestruck here. Yeah. The sheer 00:08:43.269 --> 00:08:47.250 scale of the financial stakes is truly unbelievable. 00:08:47.649 --> 00:08:50.230 Just look at the recent SpaceX initial public 00:08:50.230 --> 00:08:52.909 offering. Oh, that's insane. They briefly hit 00:08:52.909 --> 00:08:56.889 a $2 .9 trillion total market valuation. They 00:08:56.889 --> 00:08:59.690 passed Amazon and nearly caught Microsoft in 00:08:59.690 --> 00:09:02.750 total market cap. And they did this despite posting 00:09:02.750 --> 00:09:06.210 a massive financial loss. They lost $4 .9 billion 00:09:06.210 --> 00:09:09.720 just in the last calendar year. Then they turned 00:09:09.720 --> 00:09:13.000 around and immediately spent $60 billion. Wow. 00:09:13.299 --> 00:09:15.539 They bought Cursor in a massive tech acquisition 00:09:15.539 --> 00:09:19.279 deal recently. Musk's AI unit is ruthlessly chasing 00:09:19.279 --> 00:09:22.279 a massive opportunity here. Cursor is an AI -powered 00:09:22.279 --> 00:09:24.440 code editor for software developers. It basically 00:09:24.440 --> 00:09:26.279 writes the boilerplate code for you. Right. And 00:09:26.279 --> 00:09:28.820 Musk wants a piece of that $26 trillion market. 00:09:29.000 --> 00:09:31.639 Huge market. Enterprise AI is the ultimate financial 00:09:31.639 --> 00:09:33.580 prize for these mega companies. They want to 00:09:33.580 --> 00:09:35.879 own the tools to build the future software. With 00:09:35.879 --> 00:09:37.799 tools reading our Macs and enterprise platforms 00:09:37.799 --> 00:09:40.259 running... thousands of background tasks, are 00:09:40.259 --> 00:09:42.179 we becoming more efficient or just completely 00:09:42.179 --> 00:09:44.679 dependent? We're basically building a second 00:09:44.679 --> 00:09:48.000 brain out of Lego blocks of data, but it requires 00:09:48.000 --> 00:09:50.159 constant financial and cognitive supervision 00:09:50.159 --> 00:09:52.639 to actually work. Right. We're building a second 00:09:52.639 --> 00:09:55.220 brain that requires our constant expensive supervision. 00:09:58.500 --> 00:10:01.480 Sponsor. Welcome back to our deep dive into the 00:10:01.480 --> 00:10:04.980 2026 landscape. We establish the massive scale 00:10:04.980 --> 00:10:08.279 and integration of these AI tools. We see how 00:10:08.279 --> 00:10:10.860 deeply the technology is weaving into our hardware. 00:10:11.039 --> 00:10:13.440 But there is a catastrophic roadblock sitting 00:10:13.440 --> 00:10:15.940 right in front of us. Consumers actively hate 00:10:15.940 --> 00:10:18.779 the branding of this very same technology. It 00:10:18.779 --> 00:10:21.100 is a massive psychological barrier for the entire 00:10:21.100 --> 00:10:23.700 industry. There is a very dark side to this embedded 00:10:23.700 --> 00:10:26.580 tech. Google is currently suing a massive Chinese 00:10:26.580 --> 00:10:29.600 text scam network. Yeah, I saw that. They allegedly 00:10:29.600 --> 00:10:32.399 use Gemini to scale fake text messages globally. 00:10:32.840 --> 00:10:35.159 Those are the highly annoying package -held messages 00:10:35.159 --> 00:10:38.340 we all get. AI allows these scammers to operate 00:10:38.340 --> 00:10:40.519 at an entirely unprecedented scale. The messages 00:10:40.519 --> 00:10:43.080 are personalized, perfectly translated, and incredibly 00:10:43.080 --> 00:10:45.340 convincing now. This leads directly into the 00:10:45.340 --> 00:10:48.779 new WordPress VIP survey data. 60 % of U .S. 00:10:48.799 --> 00:10:51.360 consumers actively reject AI brand messaging. 00:10:52.159 --> 00:10:56.879 60%. That is huge. Seeing the word AI in an ad 00:10:56.879 --> 00:10:59.240 is an active turnoff. People see those letters 00:10:59.240 --> 00:11:01.100 and they immediately assume the product is cheap. 00:11:01.440 --> 00:11:03.600 People are growing increasingly skeptical of 00:11:03.600 --> 00:11:06.320 how companies market this tech. Nearly three 00:11:06.320 --> 00:11:08.600 quarters of people say the Internet feels much 00:11:08.600 --> 00:11:11.440 worse today. They say it feels significantly 00:11:11.440 --> 00:11:14.240 less human overall. Everything feels slightly 00:11:14.240 --> 00:11:18.039 synthetic and mass produced. 86 % of users do 00:11:18.039 --> 00:11:21.200 not fully trust AI system outputs. They prefer 00:11:21.200 --> 00:11:23.440 to click through and explore the original source 00:11:23.440 --> 00:11:25.879 material. They want to verify the facts with 00:11:25.879 --> 00:11:28.500 their own eyes. And here is the absolute wildest 00:11:28.500 --> 00:11:30.700 statistic from that entire report. What is it? 00:11:30.970 --> 00:11:35.450 42 % trust unattributed AI answers less than 00:11:35.450 --> 00:11:38.750 confusing corporate bills. They trust them less 00:11:38.750 --> 00:11:40.950 than dense, confusing corporate privacy policies. 00:11:41.149 --> 00:11:43.070 Think about that for a second. A corporate bill 00:11:43.070 --> 00:11:45.029 might be an absolute nightmare to read. Yeah. 00:11:45.129 --> 00:11:47.190 But you know a human accountant is legally responsible 00:11:47.190 --> 00:11:50.730 for it. With an AI answer, there is no accountability 00:11:50.730 --> 00:11:54.690 at all. You have no idea where the machine pulled 00:11:54.690 --> 00:11:57.370 that information from. Despite this act of rejection, 00:11:57.669 --> 00:12:00.169 we see a massive business contradiction happening. 00:12:00.889 --> 00:12:03.889 60 % of enterprise leaders actually saw their 00:12:03.889 --> 00:12:06.789 search traffic increase. Really? Yeah. And 74 00:12:06.789 --> 00:12:10.289 % rank AI discoverability as a top business priority 00:12:10.289 --> 00:12:13.509 this year. Adobe data proves that AI actually 00:12:13.509 --> 00:12:16.690 works brilliantly for driving sales. The Adobe 00:12:16.690 --> 00:12:19.309 data is the ultimate silver lining for business 00:12:19.309 --> 00:12:22.230 owners. Right. If you can get an AI agent to 00:12:22.230 --> 00:12:25.750 recommend your specific product, you win. Those 00:12:25.750 --> 00:12:29.389 referred shoppers are 54 % more likely to actually 00:12:29.389 --> 00:12:31.769 convert. Why do they convert at such a massive 00:12:31.769 --> 00:12:34.889 rate? Because the AI already did the heavy lifting 00:12:34.889 --> 00:12:37.210 of convincing them. The machine filtered the 00:12:37.210 --> 00:12:39.269 noise and presented your products as the absolute 00:12:39.269 --> 00:12:42.190 best solution. Wow. And those users stay 53 % 00:12:42.190 --> 00:12:44.250 longer on the actual website. Businesses are 00:12:44.250 --> 00:12:46.269 trapped between what works technically and what 00:12:46.269 --> 00:12:48.850 users hate. Brian Alvey, the CTO of WordPress, 00:12:49.090 --> 00:12:51.629 had a great insight here. He said websites used 00:12:51.629 --> 00:12:54.149 to be built solely for human readers. Now they 00:12:54.149 --> 00:12:56.610 must be fully optimized for AI agents acting 00:12:56.610 --> 00:12:59.740 constantly. If an AI cannot easily read your 00:12:59.740 --> 00:13:02.539 site architecture, you disappear. You completely 00:13:02.539 --> 00:13:05.179 vanish from all modern search engine traffic 00:13:05.179 --> 00:13:08.080 flows. Right. The bots just bypass you entirely. 00:13:08.360 --> 00:13:10.460 But if a human clicks through and it feels robotic, 00:13:10.720 --> 00:13:12.340 they bounce forever. They close the tab and they 00:13:12.340 --> 00:13:13.940 never come back to your brand. Yeah, you have 00:13:13.940 --> 00:13:16.299 to maintain that genuine human touch entirely 00:13:16.299 --> 00:13:19.820 intact. If a site lacks a trustworthy, messy 00:13:19.820 --> 00:13:23.080 feel, those users never return. The Canva chief 00:13:23.080 --> 00:13:25.299 people officer offered a very similar insight 00:13:25.299 --> 00:13:28.620 recently. Knowing how to use AI is just the absolute 00:13:28.620 --> 00:13:31.419 baseline for getting hired today. Applying what 00:13:31.419 --> 00:13:33.980 you learn beyond the role matters so much more. 00:13:34.120 --> 00:13:37.200 You have to bring the messy, creative human element 00:13:37.200 --> 00:13:40.000 to your daily work. Exactly. How does a business 00:13:40.000 --> 00:13:42.200 or creator survive if they have to write for 00:13:42.200 --> 00:13:45.000 machines to be found but sound human to make 00:13:45.000 --> 00:13:47.769 a sale? It requires a dual - approach for your 00:13:47.769 --> 00:13:50.370 digital content strategy moving forward. You 00:13:50.370 --> 00:13:53.590 need structural data for the bots and raw, messy, 00:13:53.710 --> 00:13:55.970 authentic humanity on the surface for the reader. 00:13:56.129 --> 00:13:58.950 So build for machines to find you, but design 00:13:58.950 --> 00:14:01.889 for humans to trust you. Exactly. Under the hood, 00:14:01.929 --> 00:14:04.610 it's highly organized spreadsheets. But on the 00:14:04.610 --> 00:14:07.509 screen... It has to be genuine human poetry. 00:14:07.730 --> 00:14:10.549 Let us zoom out and summarize the core thematic 00:14:10.549 --> 00:14:13.889 through line here. The 2026 AI market is clearly 00:14:13.889 --> 00:14:16.610 no longer about the initial hype. The novelty 00:14:16.610 --> 00:14:21.029 is gone. It is definitely not about simply driving 00:14:21.029 --> 00:14:23.330 massive application download numbers anymore. 00:14:23.509 --> 00:14:28.759 It is a $4 .2 billion. daily battle for absolute 00:14:28.759 --> 00:14:31.179 user retention. The underlying technology is 00:14:31.179 --> 00:14:34.399 vastly capable right now today globally. We see 00:14:34.399 --> 00:14:37.019 native Android 17 integrations rolling out everywhere 00:14:37.019 --> 00:14:40.759 smoothly. We see $60 billion enterprise technology 00:14:40.759 --> 00:14:43.320 acquisitions happening rapidly in the open. But 00:14:43.320 --> 00:14:45.340 the ultimate bottleneck moving forward is not 00:14:45.340 --> 00:14:47.700 raw server compute power. Right. It is the rapidly 00:14:47.700 --> 00:14:50.120 vanishing supply of... genuine, authentic human 00:14:50.120 --> 00:14:52.320 trust. I want you to look closely at your own 00:14:52.320 --> 00:14:55.139 daily tools. Are you optimizing your daily workflows 00:14:55.139 --> 00:14:58.080 strictly for AI legibility? And if so, are you 00:14:58.080 --> 00:15:00.799 losing your own human touch in the process? Two 00:15:00.799 --> 00:15:02.960 sec silence. It is a tough balance. It is an 00:15:02.960 --> 00:15:05.539 incredibly fine line for all of us to walk today. 00:15:05.759 --> 00:15:08.940 If 75 % of us already feel the internet is less 00:15:08.940 --> 00:15:11.860 human today, what happens next year when the 00:15:11.860 --> 00:15:14.639 AI agents start optimizing content strictly for 00:15:14.639 --> 00:15:17.419 other AI agents, leaving human readers out of 00:15:17.419 --> 00:15:19.899 the loop entirely? That is a deeply fascinating, 00:15:20.200 --> 00:15:22.820 slightly haunting thought to leave us with. Thank 00:15:22.820 --> 00:15:24.940 you for joining us for this extensive deep dive. 00:15:25.120 --> 00:15:27.240 We hope it gave you some clarity on the shifting 00:15:27.240 --> 00:15:29.399 digital landscape. We will see you back here 00:15:29.399 --> 00:15:31.330 for the next one. Out to your row music.