WEBVTT 00:00:00.000 --> 00:00:02.620 We often look at the AI landscape and, you know, 00:00:02.620 --> 00:00:04.700 we approach it tactically. We compare Gemini 00:00:04.700 --> 00:00:07.719 and ChatGPT -like, like they're two new smartphones. 00:00:07.980 --> 00:00:10.480 Which one has the better camera, right? Which 00:00:10.480 --> 00:00:13.400 one gives you slightly cleaner copy? But the 00:00:13.400 --> 00:00:15.500 sources we've been digging into, they tell a 00:00:15.500 --> 00:00:18.480 much, much bigger story. This is not a quick 00:00:18.480 --> 00:00:20.480 software choice. The decision you are making 00:00:20.480 --> 00:00:23.339 right now is... It's foundational. And a wrong 00:00:23.339 --> 00:00:26.379 move here could, well, it could quietly set your 00:00:26.379 --> 00:00:28.920 costs and honestly your ability to compete for 00:00:28.920 --> 00:00:30.980 the next five years. Oh, absolutely. It's a full 00:00:30.980 --> 00:00:34.219 -blown platform war. And, you know, most people 00:00:34.219 --> 00:00:36.140 are treating it like a chatbot beauty contest. 00:00:36.420 --> 00:00:38.700 Google and OpenAI, they aren't fighting over 00:00:38.700 --> 00:00:41.380 who writes a better poem. They're fighting for 00:00:41.380 --> 00:00:43.920 control over your entire digital workflow. And 00:00:43.920 --> 00:00:45.380 that's really the core of what we're attacking 00:00:45.380 --> 00:00:47.640 today. We're going deep on why these tech giants 00:00:47.640 --> 00:00:50.719 are trying to capture the entire marketing stack. 00:00:50.979 --> 00:00:52.579 Yeah. And our mission for you is pretty simple. 00:00:52.679 --> 00:00:54.619 We want you to understand the danger of what's 00:00:54.619 --> 00:00:57.020 called platform lock -in, which is, by the way, 00:00:57.100 --> 00:00:59.200 already happening. And then we want to give you 00:00:59.200 --> 00:01:00.979 the blueprint for the orchestrator strategy. 00:01:01.200 --> 00:01:04.209 That's how you win. We'll get into Google's huge 00:01:04.209 --> 00:01:08.069 structural advantages, the fascinating pricing 00:01:08.069 --> 00:01:11.230 games behind all this, and then how you can actually 00:01:11.230 --> 00:01:13.569 combine these models into a workflow that works. 00:01:13.689 --> 00:01:16.849 Okay, let's start there. This idea that the platform's 00:01:16.849 --> 00:01:20.049 goal is total control, and the tool they're using 00:01:20.049 --> 00:01:21.909 to get it is something the sources are calling 00:01:21.909 --> 00:01:25.120 platform lock -in. And it's happening right now, 00:01:25.200 --> 00:01:27.480 mostly under the radar. When we say platform 00:01:27.480 --> 00:01:29.799 lock -in, we mean the technical dependencies 00:01:29.799 --> 00:01:32.680 that make switching providers too expensive as 00:01:32.680 --> 00:01:35.560 free tiers shrink. Technical dependencies that 00:01:35.560 --> 00:01:37.219 make switching providers too expensive. Okay, 00:01:37.280 --> 00:01:39.299 that's clear. But what does that actually feel 00:01:39.299 --> 00:01:42.140 like for the listener? Is it like being stuck 00:01:42.140 --> 00:01:44.659 with an email provider you don't like? It's so 00:01:44.659 --> 00:01:47.260 much worse than that. Think about trying to migrate 00:01:47.260 --> 00:01:50.879 off of a huge old ERP system, the kind that runs 00:01:50.879 --> 00:01:52.760 your payroll, your inventory, everything. It's 00:01:52.760 --> 00:01:56.430 just... It's so painful and expensive because 00:01:56.430 --> 00:01:59.069 every single automation, every report, every 00:01:59.069 --> 00:02:01.790 save template you've ever made is built assuming 00:02:01.790 --> 00:02:05.390 Platform X is always there. So that process of, 00:02:05.409 --> 00:02:07.829 say, saving prompts and linking things up through 00:02:07.829 --> 00:02:11.610 Zapier or NNA, that isn't just making work easier. 00:02:11.789 --> 00:02:14.990 You're actually pouring technical concrete around 00:02:14.990 --> 00:02:17.199 your own feet. That's the perfect analogy. Every 00:02:17.199 --> 00:02:19.280 prompt structure, every data format, every little 00:02:19.280 --> 00:02:21.979 fine -tuning step is super specific to that one 00:02:21.979 --> 00:02:24.400 model. So if your team spends six months perfecting 00:02:24.400 --> 00:02:27.020 the chat GPT way of talking, you can't just flip 00:02:27.020 --> 00:02:28.860 a switch to Gemini tomorrow, not even if Gemini 00:02:28.860 --> 00:02:31.280 suddenly got 50 % cheaper. And that technical 00:02:31.280 --> 00:02:34.080 debt just builds up silently. The real cost isn't 00:02:34.080 --> 00:02:36.280 just what you pay per API call. It's in retraining 00:02:36.280 --> 00:02:38.800 your entire team. Rewriting thousands of workflows 00:02:38.800 --> 00:02:41.500 becomes this massive barrier. And that's the 00:02:41.500 --> 00:02:44.039 catastrophic mistake most organizations are making. 00:02:44.240 --> 00:02:46.479 They're treating this like choosing between Microsoft 00:02:46.479 --> 00:02:48.759 Word and Google Docs. They think, oh, we'll just 00:02:48.759 --> 00:02:51.740 move our documents later. But an AI model isn't 00:02:51.740 --> 00:02:53.819 a document. It's the intelligence that runs your 00:02:53.819 --> 00:02:56.039 business logic. So if the pain of leaving gets 00:02:56.039 --> 00:02:58.969 too high. The platform has you. They've won. 00:02:59.129 --> 00:03:01.250 They can start changing prices, cutting back 00:03:01.250 --> 00:03:03.069 on services, and you can't really do anything 00:03:03.069 --> 00:03:06.129 about it. That's the brutal reality of the lock 00:03:06.129 --> 00:03:07.870 -in tax, and we'll definitely get to that. But 00:03:07.870 --> 00:03:10.349 first, we really need to understand the livers 00:03:10.349 --> 00:03:12.430 being pulled to create that lock -in in the first 00:03:12.430 --> 00:03:15.710 place. So what is the critical mistake marketers 00:03:15.710 --> 00:03:18.990 are making right now? Treating AI tools like 00:03:18.990 --> 00:03:22.310 choosing between Microsoft Word and Google Docs. 00:03:22.650 --> 00:03:24.370 OK, so let's zoom out then and look at the foundation 00:03:24.370 --> 00:03:27.250 here, the structural advantages that Google is 00:03:27.250 --> 00:03:29.590 leaning on. I mean, the sources we've read argue 00:03:29.590 --> 00:03:31.430 that Google isn't even really competing on the 00:03:31.430 --> 00:03:33.689 same level as OpenAI. They're playing a much 00:03:33.689 --> 00:03:37.129 older, deeper game. They absolutely are. And 00:03:37.129 --> 00:03:38.830 it all starts with what we call the data mode. 00:03:39.069 --> 00:03:41.550 Look, OpenAI has this incredibly impressive, 00:03:41.750 --> 00:03:44.789 massive set of training data, but it's static, 00:03:44.930 --> 00:03:46.710 right? That's a snapshot of the Internet up to 00:03:46.710 --> 00:03:50.039 a certain point in time. Google has been collecting 00:03:50.039 --> 00:03:53.419 search intent data since the late 90s. Decades. 00:03:53.639 --> 00:03:56.599 Decades of human curiosity all captured in real 00:03:56.599 --> 00:03:59.639 time. That's a huge lead. And it's not just history. 00:03:59.900 --> 00:04:03.219 Google processes something like 13 .6 billion 00:04:03.219 --> 00:04:07.479 searches every single day. That is a live feed 00:04:07.479 --> 00:04:09.560 of what people care about, what trends are happening, 00:04:09.699 --> 00:04:12.800 how language is changing. right now whoa imagine 00:04:12.800 --> 00:04:16.019 tapping into 13 .6 billion searches every day 00:04:16.019 --> 00:04:18.180 it's like chat gpt's knowledge is like the world's 00:04:18.180 --> 00:04:20.980 best library archives but gemini gemini is tapping 00:04:20.980 --> 00:04:22.920 into the world's current pulse that's a massive 00:04:22.920 --> 00:04:25.480 massive difference exactly which means gemini 00:04:25.480 --> 00:04:27.500 isn't just good at giving you information it's 00:04:27.500 --> 00:04:29.420 good at modeling the demand for information yeah 00:04:29.420 --> 00:04:31.560 it understands what keywords are spiking what 00:04:31.560 --> 00:04:33.480 questions people are starting to ask it gives 00:04:33.480 --> 00:04:36.120 you these ecosystem native insights and that 00:04:36.120 --> 00:04:38.839 data advantage connects right into their second 00:04:38.839 --> 00:04:41.980 big advantage which is distribution. OpenAI has 00:04:41.980 --> 00:04:43.620 to get you to download an app or go to their 00:04:43.620 --> 00:04:47.240 website. Google doesn't. Nope. Google just flips 00:04:47.240 --> 00:04:50.300 a switch. Gemini is getting baked into tools 00:04:50.300 --> 00:04:54.240 you already use, docs, sheets. Gmail, YouTube, 00:04:54.399 --> 00:04:58.000 which has, what, 2 .7 billion users? It's sitting 00:04:58.000 --> 00:05:01.439 right inside that $224 billion advertising ecosystem. 00:05:01.720 --> 00:05:03.680 They just get to skip the whole adoption phase. 00:05:03.920 --> 00:05:06.939 That makes it so sticky. You use Gemini to draft 00:05:06.939 --> 00:05:08.800 an email, then you use it to analyze performance 00:05:08.800 --> 00:05:11.500 and analytics. You never leave their world. Then 00:05:11.500 --> 00:05:13.180 you have the third factor, which people don't 00:05:13.180 --> 00:05:16.459 talk about as much, custom hardware. The TPUs, 00:05:16.459 --> 00:05:19.860 Tensor Processing Units, OpenAI, even with Microsoft's 00:05:19.860 --> 00:05:22.620 backing, is still basically renting computer 00:05:22.620 --> 00:05:24.829 power from Microsoft Azure. They're paying a 00:05:24.829 --> 00:05:26.910 markup. And Google. Google built their own. They 00:05:26.910 --> 00:05:28.769 designed their own chips, the TPUs, specifically 00:05:28.769 --> 00:05:30.889 for AI. So they control the whole supply chain, 00:05:30.970 --> 00:05:32.449 the whole cost structure. So it's like renting 00:05:32.449 --> 00:05:35.430 a supercar for a track day versus custom building 00:05:35.430 --> 00:05:37.430 a Formula One car just for that one track. Google 00:05:37.430 --> 00:05:39.089 controls everything. They're vertically integrated. 00:05:39.389 --> 00:05:41.769 And that control means they don't pay that cloud 00:05:41.769 --> 00:05:44.250 markup. They can pass that saving on to you, 00:05:44.350 --> 00:05:47.610 the user, as a subsidy. And that's a move OpenAI 00:05:47.610 --> 00:05:49.750 just can't match because they're a tenant. They're 00:05:49.750 --> 00:05:51.949 renting the servers. So how does this massive 00:05:51.949 --> 00:05:55.029 real -time data flow actually benefit Gemini 00:05:55.029 --> 00:05:57.870 users day to day? It allows Gemini to see real 00:05:57.870 --> 00:06:00.649 -time trends and offer ecosystem -native insights 00:06:00.649 --> 00:06:03.569 that affect your strategy now. And this structural 00:06:03.569 --> 00:06:05.870 advantage is what really dictates the whole pricing 00:06:05.870 --> 00:06:07.949 battle. It's fundamentally different. Google 00:06:07.949 --> 00:06:10.129 is playing what you could call ecosystem defense. 00:06:10.759 --> 00:06:13.160 OpenAI needs standalone profit. They have to 00:06:13.160 --> 00:06:15.199 make money from the tool itself. Right. This 00:06:15.199 --> 00:06:17.199 is where it stops being about technology and 00:06:17.199 --> 00:06:19.360 becomes pure business strategy. Google is just 00:06:19.360 --> 00:06:21.160 using their classic playbook, right? The one 00:06:21.160 --> 00:06:23.399 they used to push Chrome or Internet Explorer 00:06:23.399 --> 00:06:26.459 way back when. Precisely. For Google, the real 00:06:26.459 --> 00:06:28.920 goal isn't selling Gemini subscriptions. The 00:06:28.920 --> 00:06:32.920 real goal is protecting that $224 billion advertising 00:06:32.920 --> 00:06:35.560 and search empire. They know that if you start 00:06:35.560 --> 00:06:37.060 doing your research and you're planning somewhere 00:06:37.060 --> 00:06:39.579 else, you might eventually leave Google search 00:06:39.579 --> 00:06:42.500 and Google ads. So they can afford to run Gemini 00:06:42.500 --> 00:06:44.779 at cost or even at a loss, probably forever. 00:06:45.060 --> 00:06:47.899 The AI is just a tool to reduce friction and 00:06:47.899 --> 00:06:50.920 keep you inside their walled garden. OpenAI has 00:06:50.920 --> 00:06:53.300 a totally different financial reality. They have 00:06:53.300 --> 00:06:56.480 to cover these staggering R &D costs for things 00:06:56.480 --> 00:06:59.459 like GPT -5. And they have to pay their Microsoft 00:06:59.459 --> 00:07:03.850 Azure bill. Those are huge real costs. So OpenAI's 00:07:03.850 --> 00:07:06.569 price has to reflect their actual cost plus a 00:07:06.569 --> 00:07:09.449 margin. Meanwhile, Google's price reflects a 00:07:09.449 --> 00:07:12.069 strategic subsidy. That's a huge imbalance from 00:07:12.069 --> 00:07:14.589 day one. It is. And over time, you could expect 00:07:14.589 --> 00:07:17.110 Google to offer way more compute, more features 00:07:17.110 --> 00:07:19.439 for less money. Because they're paying for it 00:07:19.439 --> 00:07:21.759 with their ad money. The AI itself doesn't need 00:07:21.759 --> 00:07:24.000 to be profitable. The ecosystem needs to be profitable. 00:07:24.259 --> 00:07:26.680 That puts OpenAI in a really tough spot. It means 00:07:26.680 --> 00:07:28.759 they have to constantly be innovating just to 00:07:28.759 --> 00:07:31.220 justify their higher price. If they slow down, 00:07:31.399 --> 00:07:33.379 why would anyone pay a premium when the subsidized 00:07:33.379 --> 00:07:36.639 tool is good enough and already built into everything? 00:07:37.259 --> 00:07:39.639 And constant innovation is incredibly expensive. 00:07:39.980 --> 00:07:43.560 Building GPT -5 costs billions. So that drives 00:07:43.560 --> 00:07:45.759 their price up, which makes the gap with Google 00:07:45.759 --> 00:07:48.319 even wider, which forces them to innovate even 00:07:48.319 --> 00:07:51.680 more. It's a great cycle for Google and a really 00:07:51.680 --> 00:07:54.500 stressful one for OpenAI. But hold on. If Google 00:07:54.500 --> 00:07:57.560 is just structurally cheaper, why would a marketing 00:07:57.560 --> 00:08:00.339 team still need to pay more for open AI? Why 00:08:00.339 --> 00:08:02.540 not just use the subsidized one? Because the 00:08:02.540 --> 00:08:04.759 cheaper tool might not give you the quality you 00:08:04.759 --> 00:08:07.399 need for your most critical use cases, especially 00:08:07.399 --> 00:08:10.420 in areas that need real nuanced creativity or 00:08:10.420 --> 00:08:13.639 persuasive power. And that question brings us 00:08:13.639 --> 00:08:16.379 right to the winning strategy. which is you have 00:08:16.379 --> 00:08:19.180 to accept that no single tool is ever going to 00:08:19.180 --> 00:08:21.420 be the best at everything. You have to stop being 00:08:21.420 --> 00:08:23.639 a user of one platform and start becoming an 00:08:23.639 --> 00:08:26.920 orchestrator of many. Forcing one AI, I don't 00:08:26.920 --> 00:08:28.839 care how powerful it is, to do everything from 00:08:28.839 --> 00:08:31.579 deep data analysis to writing emotional sales 00:08:31.579 --> 00:08:33.940 copy. It's like using a hammer for brain surgery. 00:08:34.120 --> 00:08:36.039 You just end up with mediocrity everywhere. You 00:08:36.039 --> 00:08:37.639 have to use the biological advantage of each 00:08:37.639 --> 00:08:39.820 model. Okay, let's define those. Based on the 00:08:39.820 --> 00:08:42.059 source material, what are those biological advantages? 00:08:42.639 --> 00:08:45.549 Well, Gemini is the detective. Because it has 00:08:45.549 --> 00:08:48.409 that live feed of human curiosity, the 13 billion 00:08:48.409 --> 00:08:51.529 searches, and it's native to Google Analytics, 00:08:51.789 --> 00:08:55.909 it is just supreme at research, at SEO strategy, 00:08:56.169 --> 00:08:58.649 at understanding performance data. It can basically 00:08:58.649 --> 00:09:01.210 see the matrix of the Google algorithm better 00:09:01.210 --> 00:09:04.110 than any human. And ChatGPT is still the persuader, 00:09:04.190 --> 00:09:07.289 the storyteller. Yeah. ChatGPT still has a real 00:09:07.289 --> 00:09:10.230 edge where you need high emotional nuance and 00:09:10.230 --> 00:09:12.549 really consistent brand voice. We use it for 00:09:12.549 --> 00:09:15.029 high -spakes persuasive copy, like email campaigns, 00:09:15.309 --> 00:09:17.409 landing page hooks, or any client communication 00:09:17.409 --> 00:09:19.580 that has to sound authentically human. So the 00:09:19.580 --> 00:09:21.620 smart workflow isn't which one do we pick, but 00:09:21.620 --> 00:09:23.840 when do we use which one? Yeah. Can we walk through 00:09:23.840 --> 00:09:26.779 like a practical three -phase workflow? Absolutely. 00:09:27.019 --> 00:09:29.559 Okay. Phase one is research and strategy. You 00:09:29.559 --> 00:09:32.039 start with Gemini. You feed it your Google Ads 00:09:32.039 --> 00:09:34.440 data. You ask it to analyze trending keywords 00:09:34.440 --> 00:09:37.320 and map out where the customer intent gaps are. 00:09:37.879 --> 00:09:41.059 Gemini gives you the raw strategic insight. Then 00:09:41.059 --> 00:09:43.740 phase two is creative execution. You take those 00:09:43.740 --> 00:09:46.139 insights from Gemini and you feed that raw data 00:09:46.139 --> 00:09:49.870 into ChatGPT. You tell ChatGPT, Based on our 00:09:49.870 --> 00:09:53.210 brand persona, write four emotionally resonant 00:09:53.210 --> 00:09:56.809 ad copy variations for these intent gaps. Now 00:09:56.809 --> 00:09:58.590 you're getting persuasive on -brand content. 00:09:58.850 --> 00:10:00.669 So you're turning the facts into a compelling 00:10:00.669 --> 00:10:02.970 message. And phase three is optimization. You 00:10:02.970 --> 00:10:05.149 take the performance data from those ads, what 00:10:05.149 --> 00:10:07.049 worked and what didn't, and you feed it back 00:10:07.049 --> 00:10:09.500 to Gemini. Because it's native to analytics, 00:10:09.740 --> 00:10:11.980 it can refine the strategy based on real results, 00:10:12.100 --> 00:10:14.639 not just guesses. And that informs the next creative 00:10:14.639 --> 00:10:16.639 cycle. That makes the whole process modular. 00:10:16.700 --> 00:10:19.179 You're not forcing one tool into a job it's just 00:10:19.179 --> 00:10:21.340 not built for. Exactly. You're leveraging their 00:10:21.340 --> 00:10:23.659 inherent strengths. The whole process gets faster, 00:10:23.740 --> 00:10:26.159 cheaper, and the quality is higher. Okay. This 00:10:26.159 --> 00:10:28.220 orchestration idea feels really important right 00:10:28.220 --> 00:10:30.559 now, especially with the platforms trying to 00:10:30.559 --> 00:10:33.600 lure everyone into their gardens. When we come 00:10:33.600 --> 00:10:35.259 back, we have to talk about the ticking clock 00:10:35.259 --> 00:10:38.379 here and the threat of this lock -in tax, because 00:10:38.379 --> 00:10:41.100 those generous free tiers are not going to last 00:10:41.100 --> 00:10:44.980 forever. Welcome back to the Deep Dive. So we've 00:10:44.980 --> 00:10:46.919 established that orchestration is the winning 00:10:46.919 --> 00:10:49.740 play here, but that strategy, it kind of has 00:10:49.740 --> 00:10:52.399 an expiration date, because the deals the platforms 00:10:52.399 --> 00:10:55.299 are offering right now... They won't last. We're 00:10:55.299 --> 00:10:57.440 on a ticking clock. The next 12 months, this 00:10:57.440 --> 00:11:00.279 is the crucial window, the window to build portable 00:11:00.279 --> 00:11:02.659 systems. Right now, it's a land grab. They're 00:11:02.659 --> 00:11:05.379 offering low prices, generous free tiers, anything 00:11:05.379 --> 00:11:07.720 to get you hooked. They want to maximize that 00:11:07.720 --> 00:11:09.820 lock -in before they change the game. And the 00:11:09.820 --> 00:11:11.659 sources are calling that change the lock -in 00:11:11.659 --> 00:11:13.539 tax. What does that actually look like when it 00:11:13.539 --> 00:11:16.620 hits us in a year or so? It's insidious. First, 00:11:16.799 --> 00:11:19.240 the free tiers will shrink, or they'll just vanish. 00:11:19.620 --> 00:11:22.080 Then the pricing starts to normalize, which is 00:11:22.080 --> 00:11:23.940 just a nice way of saying it goes up. A lot. 00:11:24.120 --> 00:11:27.100 And once they know you can't easily switch, that's 00:11:27.100 --> 00:11:30.299 when the feature gates appear. Suddenly, things 00:11:30.299 --> 00:11:33.039 you need, like better security or API access, 00:11:33.279 --> 00:11:35.559 are behind these expensive enterprise contracts. 00:11:36.250 --> 00:11:38.049 And because you spent the last year building 00:11:38.049 --> 00:11:40.169 everything into their system, you have to pay. 00:11:40.289 --> 00:11:42.289 You're trapped. You're paying the tax. It's the 00:11:42.289 --> 00:11:44.789 ultimate price for pouring that technical concrete. 00:11:44.990 --> 00:11:47.350 And look, even for those of us who watch this 00:11:47.350 --> 00:11:50.070 stuff all day, I still wrestle with prompt drift 00:11:50.070 --> 00:11:52.870 myself when I try to move a complex workflow 00:11:52.870 --> 00:11:55.409 from one model to another. It takes real conscious 00:11:55.409 --> 00:11:58.019 effort to stay portable. That's a vulnerable 00:11:58.019 --> 00:12:00.240 admission, and I think it highlights this isn't 00:12:00.240 --> 00:12:02.279 just a tech problem. It's an organizational discipline 00:12:02.279 --> 00:12:04.539 problem. So how do you build that portability 00:12:04.539 --> 00:12:07.080 now before that tax really hits? You have to 00:12:07.080 --> 00:12:09.799 map your dependencies. The smart teams right 00:12:09.799 --> 00:12:11.700 now are asking those uncomfortable questions. 00:12:12.120 --> 00:12:14.840 Questions like, what breaks if this tool disappears 00:12:14.840 --> 00:12:18.360 tomorrow? Or if the price goes up 400 %? You 00:12:18.360 --> 00:12:20.220 have to know where you're vulnerable. And what's 00:12:20.220 --> 00:12:22.259 the tactical solution? How do you stop that from 00:12:22.259 --> 00:12:24.950 breaking everything? You build extraction layers. 00:12:25.330 --> 00:12:27.789 Basically, you use tools, even if it's just a 00:12:27.789 --> 00:12:31.389 really good internal wiki, to standardize how 00:12:31.389 --> 00:12:33.870 you talk to the AI. So instead of coding a prompt 00:12:33.870 --> 00:12:36.669 directly into Zapier, you route all your requests 00:12:36.669 --> 00:12:38.970 through a central manager. And that makes the 00:12:38.970 --> 00:12:42.710 provider, Gemini, ChatGPT, Claude, whoever, it 00:12:42.710 --> 00:12:44.669 makes them a plug -and -play component. If one 00:12:44.669 --> 00:12:46.990 of them raises their prices or the quality dips, 00:12:47.129 --> 00:12:49.690 you just swap the provider that abstraction layer. 00:12:50.039 --> 00:12:52.019 You don't have to rewrite a thousand workflows. 00:12:52.360 --> 00:12:54.220 So it's about future -proofing the people, too. 00:12:54.320 --> 00:12:56.419 Training your teams on the core principles of 00:12:56.419 --> 00:12:59.240 prompt engineering, not just on how to use today's 00:12:59.240 --> 00:13:01.500 odd tool. Exactly. The principles of clear communication, 00:13:01.779 --> 00:13:04.639 those are durable. The individual tools are temporary. 00:13:05.419 --> 00:13:07.559 Flexibility has to be baked in from day one. 00:13:07.720 --> 00:13:10.159 So what is the most uncomfortable question teams 00:13:10.159 --> 00:13:12.480 must ask themselves right now about their AI 00:13:12.480 --> 00:13:15.399 setup? What breaks if the price increases or 00:13:15.399 --> 00:13:18.179 if the tool disappears tomorrow? So to wrap up 00:13:18.179 --> 00:13:20.059 our deep dive today, I think the core lesson 00:13:20.059 --> 00:13:23.059 is pretty clear. The winning move in this whole 00:13:23.059 --> 00:13:25.440 platform war isn't about picking the winner. 00:13:25.700 --> 00:13:28.059 It's about building organizational flexibility. 00:13:28.440 --> 00:13:31.769 It's about mastering orchestration. The wrong 00:13:31.769 --> 00:13:34.830 question to be asking is, which AI is better? 00:13:35.370 --> 00:13:37.529 The right question, the much more important question 00:13:37.529 --> 00:13:40.490 is, how do I build a strategy that wins no matter 00:13:40.490 --> 00:13:43.909 which platform ends up on top? Because the platforms 00:13:43.909 --> 00:13:45.769 will change, but your marketing goals have to 00:13:45.769 --> 00:13:48.269 stay constant. The marketers who figure out this 00:13:48.269 --> 00:13:50.570 modular orchestrator mindset in the next year, 00:13:50.750 --> 00:13:53.110 they're going to have a massive competitive advantage. 00:13:53.250 --> 00:13:55.409 And the ones who just stick to a single solution 00:13:55.409 --> 00:13:58.049 will find themselves locked in, paying more and 00:13:58.049 --> 00:14:00.440 more for less and less. So here's your final 00:14:00.440 --> 00:14:02.639 thought to chew on. Take your single most important 00:14:02.639 --> 00:14:05.320 marketing prompt, the one you rely on most, run 00:14:05.320 --> 00:14:07.539 it through Gemini, run it through ChatGPT, and 00:14:07.539 --> 00:14:09.659 run it through a third one like Claude, and then 00:14:09.659 --> 00:14:11.919 compare the results objectively side by side. 00:14:12.120 --> 00:14:14.620 I think only then will you really see the hidden 00:14:14.620 --> 00:14:16.659 cost of sticking to a single model strategy. 00:14:17.039 --> 00:14:19.179 Think about the cost of that comparison, and 00:14:19.179 --> 00:14:20.799 then think about the cost of being trapped.