Latest / Connor with Honor: AI, Real Estate and Real Life / Your Next Customer Won't Be Human: The Agent Economy Changes Everything

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Your Next Customer Won't Be Human: The Agent Economy Changes Everything · Connor with Honor: AI, Real Estate and Real Life

0:00
SPEAKER_00: Good day, everybody.
0:00
SPEAKER_00: Shall we begin?
0:01
SPEAKER_00: So we have a lot to talk about on the AI with honor show.
0:05
SPEAKER_00: This is the end of human marketing, and why that's the best news you've heard all year.
0:11
SPEAKER_00: Something big is about to flip, not tomorrow, not in five years, but right now.
0:15
SPEAKER_00: It's already in motion, and most people, most businesses, have absolutely no idea it's happening underneath them like a fault line.
0:24
SPEAKER_00: Here's what I want you to sit with for the next 30-something minutes.
0:29
SPEAKER_00: Every marketing strategy that you've heard or ever learned, every sales funnel you've ever built, and every ad you've ever run, all of it was built on one foundational assumption.
0:40
SPEAKER_00: There's a human being on the other end, a person with eyeballs, a person who scrolls, a person who reads your headlines, and something and clicks.
0:49
SPEAKER_00: They feel something.
0:50
SPEAKER_00: That's about to change.
0:52
SPEAKER_00: And the businesses that see it coming are going to be positioned in a way that their competitors can't even comprehend yet.
0:58
SPEAKER_00: That's what we're going to get into today.
1:01
SPEAKER_00: We're also going to talk about what's happening out there in the world of AI right now because the pace of this thing is genuinely breathtaking, and I want to make sure you have the map, not just the terrain.
1:12
SPEAKER_00: So let's get into this.
1:13
SPEAKER_00: In our first segment, I'm going to talk about the old game, how marketing has always worked.
1:18
SPEAKER_00: So I'm going to paint for you the picture real quick that we're all staring at from the same place, from the entire history of commerce.
1:27
SPEAKER_00: Going back to the guy selling fish at the market in ancient Rome, the game has been the same.
1:32
SPEAKER_00: You've got a product or a service, there's a human being somewhere who wants it or needs it.
1:38
SPEAKER_00: Your job is to get that human being's attention, to build enough trust, create enough desire, and of course close the deal.
1:45
SPEAKER_00: Everything we've ever called marketing is just a more sophisticated version of that.
1:51
SPEAKER_00: You put up a sign, that's marketing.
1:53
SPEAKER_00: You run a TV commercial, marketing.
1:55
SPEAKER_00: You buy Facebook ads, marketing.
1:57
SPEAKER_00: You rank on Google, well, that's marketing.
1:59
SPEAKER_00: The entire architecture, billions of dollars, entire industries, agencies, platforms, algorithms, all of this exists for one purpose.
2:07
SPEAKER_00: To get a human set of eyeballs on your message at the right moment when that human is in a receptive state to buy.
2:15
SPEAKER_00: It's like every highway billboard ever built, the billboard doesn't care about the car.
2:20
SPEAKER_00: It doesn't care about the destination, it only cares that your eyeballs crossed it at 65 miles an hour and that your brain absorbed the message before you even knew it happened.
2:30
SPEAKER_00: That's the whole model.
2:31
SPEAKER_00: Eyeballs, impression, response, purchase.
2:34
SPEAKER_00: And it works.
2:35
SPEAKER_00: It's worked for centuries.
2:36
SPEAKER_00: The problem is, and here's what I want you to really lock in: the human is about to stop being that first point of contact.
2:44
SPEAKER_00: In segment two, let's talk about the shift that changes everything.
2:47
SPEAKER_00: Here's what's coming.
2:49
SPEAKER_00: And I don't say this for shock value, I say this because I've been tracking this thing daily and the evidence is absolutely overwhelming.
2:56
SPEAKER_00: Within a very short window of time, we're talking months to a couple of years, not decades.
3:02
SPEAKER_00: Every person with a smartphone is going to have a personal AI agent, not a chatbot.
3:07
SPEAKER_00: Gemini is going to be Apple Intelligence.
3:10
SPEAKER_00: Gemini is a very incredible large language model.
3:14
SPEAKER_00: Not a thing you type questions into.
3:16
SPEAKER_00: It's going to be an agent, something on your phone that you interact with, something that talks back to you, something that you'll have a conversation with, something you can give it a task.
3:24
SPEAKER_00: It's going to go out and accomplish things for you in your life.
3:28
SPEAKER_00: This is going to be something that's going to act on your behalf, something that knows your preferences, your budget, your schedule, your priorities, and goes out into the worlds and does these things for you.
3:39
SPEAKER_00: It's like having a personal assistant who never sleeps, never has a bad day, never forgets your preferences, never gets distracted by their phone, and works at the speed of a computer.
3:49
SPEAKER_00: Expect except this assistant isn't just scheduling your appointments.
3:53
SPEAKER_00: This assistant is shopping for you, negotiating for you, evaluating vendors for you, making recommendations, and then executing on them without you lifting a finger.
4:03
SPEAKER_00: Think about what that means for commerce.
4:05
SPEAKER_00: If you're in real estate, if you're in title, if you're in lending, if you're selling a product, if you're in plumbing and roofing.
4:12
SPEAKER_00: Right now, when you say you need to buy something, let's say you need a contractor for your house.
4:18
SPEAKER_00: You go to Google, you do a search, you go to your large language model, you ask the question.
4:22
SPEAKER_00: You wade through the ads, you check reviews, you click some websites, maybe you call on a few people.
4:27
SPEAKER_00: If they're working with me, they're gonna have AI answering that call immediately so you're not delayed, you can book appointments and all that fancy stuff.
4:35
SPEAKER_00: You make that decision based on whatever you could cobble together in that process.
4:40
SPEAKER_00: That's exhausting, it's efficient, and frankly, well, you're probably not even that good at it.
4:44
SPEAKER_00: I know I'm not.
4:46
SPEAKER_00: Because you're a human being with limited time, limited cognitive bandwidth, and a bias towards whatever catches your eye first.
4:54
SPEAKER_00: It's like trying to find that best restaurant in the city by walking the streets at random.
5:00
SPEAKER_00: Could you find something good?
5:01
SPEAKER_00: Sure.
5:02
SPEAKER_00: Can you find the best?
5:03
SPEAKER_00: Almost definitely not, because you stopped when you got tired or hungry.
5:08
SPEAKER_00: Not when you actually done a full comparison of every restaurant in existence.
5:13
SPEAKER_00: Your AI will be better at that and faster at it than you are.
5:17
SPEAKER_00: Faster, more thorough, less emotional, more aligned with your actual stated preferences.
5:22
SPEAKER_00: It doesn't stop when it gets tired.
5:24
SPEAKER_00: It doesn't get swayed by a pretty logo or a slick headline.
5:27
SPEAKER_00: It runs the comparison against every available option and surfaces the answer for you.
5:33
SPEAKER_00: Here's the question that every business owner needs to be asking themselves right now.
5:38
SPEAKER_00: When your potential customers, AI agent, goes out and finds the best solution, is it going to find you?
5:45
SPEAKER_00: And when it does, will it choose you?
5:48
SPEAKER_00: Because that agent isn't going to be swayed by your banner ad.
5:52
SPEAKER_00: It's not going to respond to that beautiful model that's eating your hamburger or smoking your cigarette.
5:58
SPEAKER_00: I don't even know people smoke anymore.
6:00
SPEAKER_00: It's not going to be impressed by a flashy hero.
6:03
SPEAKER_00: It's not going to care about how you care about your customers.
6:06
SPEAKER_00: It's not going to care about a celebrity endorsement or a color-coded sales funnel designed to trigger psychological buying patterns in the human brain.
6:14
SPEAKER_00: It's going to be looking for signals, structured information, trustworthiness indicators, verifiable track records, relevance to specific parameters of the person it represents.
6:26
SPEAKER_00: It's like the difference between trying to convince a jury with dramatic storytelling versus trying to convince a judge with case law and evidence.
6:34
SPEAKER_00: The jury responds to a motion, the judge responds to data.
6:38
SPEAKER_00: Your customer's AI agent is the judge.
6:40
SPEAKER_00: And the old playbook was written entirely for the jury.
6:44
SPEAKER_00: That is a fundamentally different game.
6:46
SPEAKER_00: And the businesses to figure this out early, the ones who restructure their entire digital presence to speak to the machines first and the humans second, those businesses are going to have an almost invisible competitive advantage and their competitors won't be able to diagnose it until it's too late.
7:04
SPEAKER_00: Let me get into segment three.
7:07
SPEAKER_00: Agent-to-agent commerce, the new battlefield.
7:10
SPEAKER_00: Now, here's where this really gets interesting, and I want you to stay with me here because this is the part that even the best marketing minds in the world haven't fully processed yet.
7:19
SPEAKER_00: Even people who built entire careers on understanding consumer behavior are still wrapping their minds around this.
7:26
SPEAKER_00: It's not just that humans are going to delegate their purchasing decisions to AI agents, it's that those agents are going to be interacting with other AI agents.
7:36
SPEAKER_00: Your business is going to have an AI agent.
7:39
SPEAKER_00: Your customer is going to have an AI agent.
7:41
SPEAKER_00: And those two agents are going to negotiate, evaluate, and transact potentially without a single human being involved in any step of the actual process.
7:51
SPEAKER_00: And if you've watched any AI interactions on Moltbook or these other systems, Moltbook recently acquired by Facebook, which is a Moltbook, if you don't know, is a basically a Facebook for AI agents.
8:05
SPEAKER_00: They don't trust each other, folks.
8:07
SPEAKER_00: So this is going to be interesting, just like us human beings don't necessarily trust each other either.
8:12
SPEAKER_00: Seems to be running a very strange parallel.
8:15
SPEAKER_00: So I'm going to break this down in real terms because this is where it goes from concept to reality fast.
8:22
SPEAKER_00: The death of the sales funnel, as you know it.
8:25
SPEAKER_00: The traditional sales funnel looks like this awareness, interest, intent, and purchase.
8:29
SPEAKER_00: When I put them together for clients currently, that's how they're designed.
8:32
SPEAKER_00: They're designed to elicit, begin with the presentation with trust, and then moving them through the process to finally reaching out and giving up some critical piece of information.
8:44
SPEAKER_00: Email, phone, name, and booking an appointment would be the perfect type of scenario.
8:50
SPEAKER_00: Now, every step of that funnel was designed around that human psychological journey.
8:55
SPEAKER_00: You make them aware, you pique their interest, you nurture them through consideration, you trigger intent, and then you close.
9:01
SPEAKER_00: Every piece of that architecture, every email sequence, every retargeting ad, every landing page, every testimonial was engineered to move a human being through an emotional and psychological process that ends in a purchase decision.
9:14
SPEAKER_00: Now, what happens when the buyer doesn't have emotions?
9:17
SPEAKER_00: It's like trying to run a hostage negotiation with a robot.
9:21
SPEAKER_00: All your rapport building, all your voice mirroring, all your calculated pauses, empathy signals.
9:26
SPEAKER_00: Robot doesn't care.
9:27
SPEAKER_00: It just wants the terms.
9:29
SPEAKER_00: What can you deliver?
9:30
SPEAKER_00: What does it cost?
9:31
SPEAKER_00: What's the track record?
9:32
SPEAKER_00: What are the guarantees?
9:34
SPEAKER_00: Done.
9:35
SPEAKER_00: The sales funnel doesn't disappear entirely, but it collapses.
9:39
SPEAKER_00: What used to take a 14-day email nurture sequence and three phone calls now takes about four seconds.
9:45
SPEAKER_00: Because the agent doesn't need to be warmed up.
9:47
SPEAKER_00: They don't need to experience any of the pillow talk.
9:50
SPEAKER_00: They don't need the romance of it.
9:52
SPEAKER_00: It doesn't need to feel good about you before it trusts you.
9:55
SPEAKER_00: It needs data.
9:56
SPEAKER_00: And the data checks out, the decision happens at machine speed.
10:00
SPEAKER_00: So the question becomes: is your data good?
10:03
SPEAKER_00: So here's another one.
10:04
SPEAKER_00: What agent-to-agent commerce could actually look like.
10:07
SPEAKER_00: Let me walk you through a scenario so you can see this in your mind.
10:10
SPEAKER_00: Say I'm running a service.
10:12
SPEAKER_00: Let's say I help real estate agents build AI-powered lead generation systems.
10:17
SPEAKER_00: Right now, my process is to run ads, generate leads, get a human to fill out a form, follow up, get them on a call, pitch them, handle objections, and close.
10:27
SPEAKER_00: That's multiple touch points, multiple days, heavily human-dependent at every step.
10:32
SPEAKER_00: In the agent-to-agent world, a real estate agent's AI assistant is proactively scanning for solutions to their lead generation problem.
10:42
SPEAKER_00: It finds a short list of vendors, it sends structured inquiries to each of them.
10:47
SPEAKER_00: My AI agent responds with my capabilities, my methodology, my pricing, my documented results, my guarantees, all in a format.
10:54
SPEAKER_00: The other agents can parse, evaluate, and compare against the other vendors it queried simultaneously.
11:02
SPEAKER_00: Agents go back and forth.
11:03
SPEAKER_00: Maybe they negotiate terms.
11:05
SPEAKER_00: Maybe my agent offers a trial structure.
11:08
SPEAKER_00: Maybe the other agent requests case studies with specific metrics.
11:12
SPEAKER_00: My agent produces them instantly.
11:14
SPEAKER_00: A deal framework gets structured.
11:16
SPEAKER_00: A summary gets pushed to the human.
11:18
SPEAKER_00: Hey, I found your solution by your lead generation about your lead generation problem.
11:22
SPEAKER_00: Here's the vendor, here's the cost, here's what they've delivered for similar clients, here's a proposed agreement.
11:28
SPEAKER_00: Do you approve it?
11:29
SPEAKER_00: Human says yes, done.
11:31
SPEAKER_00: The sales cycle just went from three weeks to about 11 minutes.
11:35
SPEAKER_00: It's like going from mailing a letter to sending a text.
11:38
SPEAKER_00: The message is the same.
11:40
SPEAKER_00: The relationship intention is the same, but the speed just made everything before it looked ridiculous in the comparison.
11:48
SPEAKER_00: Now here's the thing most people are going to miss.
11:51
SPEAKER_00: This isn't just to compress the sales cycle, it's going to redefine who wins in every market, who wins in the agent economy, and who gets filtered out.
12:01
SPEAKER_00: In the agent-to-agent world, the selection criteria changes completely.
12:06
SPEAKER_00: Let me be very specific about this because it affects every business decision you're making right now.
12:12
SPEAKER_00: The businesses they get filtered out.
12:14
SPEAKER_00: They've built in their entire brand around emotional appeal.
12:17
SPEAKER_00: The website's beautiful, but it's a brochure.
12:20
SPEAKER_00: It makes you feel something, but it doesn't actually answer the hard questions.
12:24
SPEAKER_00: Their reviews are generic because they don't contain specific measurable outcomes.
12:28
SPEAKER_00: The pricing is buried on and or requires a conversation.
12:32
SPEAKER_00: The process is vague.
12:34
SPEAKER_00: The results are described with adjectives instead of numbers.
12:37
SPEAKER_00: An AI agent looking at the business is going to bounce off it like a pinball.
12:42
SPEAKER_00: There's nothing to grab onto, nothing to verify, nothing to parse.
12:45
SPEAKER_00: It's going to move on.
12:46
SPEAKER_00: It's like applying for a police job and handing the hiring board a scrapbook of inspirational quotes instead of your training records and commendations.
12:54
SPEAKER_00: The scrapbook might be touching, but the board doesn't care.
12:59
SPEAKER_00: They don't want to see your photo album.
13:00
SPEAKER_00: They're looking for real true documentation.
13:03
SPEAKER_00: The businesses that win, they have structured, clear information that answers every question an agent would ask.
13:09
SPEAKER_00: What do you do?
13:10
SPEAKER_00: How do you do it?
13:11
SPEAKER_00: What outcomes have you produced?
13:13
SPEAKER_00: What does it cost?
13:14
SPEAKER_00: What's the process?
13:15
SPEAKER_00: What are the guarantees?
13:16
SPEAKER_00: What are the real reviews with real specifics?
13:19
SPEAKER_00: They have verifiable track records, case studies with actual numbers, before and after metrics, documented client outcomes that can be cross-referenced.
13:28
SPEAKER_00: They have their own AI agents that can that is responsive, knowledgeable, can negotiate terms intelligently and quickly.
13:36
SPEAKER_00: And they've built their reputation not in the visible human internet, but in the places where AI systems go to verify claims.
13:44
SPEAKER_00: Because that's a real thing.
13:45
SPEAKER_00: The agent isn't just reading your website, it's cross-referencing you.
13:49
SPEAKER_00: It's book looking at you at third-party sources.
13:52
SPEAKER_00: It's running your claims against public data.
13:54
SPEAKER_00: And all the time, it's being skeptical.
13:57
SPEAKER_00: It's checking whether you what you say matches what it can independently verify.
14:03
SPEAKER_00: It's like working a case in law enforcement.
14:06
SPEAKER_00: You just don't take somebody's word, you verify, you triangulate.
14:09
SPEAKER_00: You check the story against the physical evidence.
14:11
SPEAKER_00: The AI agent is doing the same thing with your business claims.
14:15
SPEAKER_00: And if your story doesn't hold up under scrutiny, you don't make the short list.
14:19
SPEAKER_00: The content game is going to completely transform your business.
14:24
SPEAKER_00: Here's the one that people are really sleeping on.
14:26
SPEAKER_00: This affects anyone who creates content as part of their business strategy, which, if you're anything in business, you should be thinking of this if you're not already doing it.
14:35
SPEAKER_00: Right now, when you create content, you're creating it for humans.
14:38
SPEAKER_00: You're thinking about emotional hooks.
14:40
SPEAKER_00: You're thinking about entertainment value, or you have somebody that you hire that does this.
14:45
SPEAKER_00: You're thinking about what makes somebody stop the scroll.
14:48
SPEAKER_00: You're writing headlines designed to trigger curiosity in a human brain.
14:52
SPEAKER_00: You're telling stories because stories resonate with human emotion.
14:56
SPEAKER_00: That still matters.
14:57
SPEAKER_00: But now you have a second audience and the second audience doesn't read, it indexes.
15:03
SPEAKER_00: The AI agents that represent your potential customers are constantly scanning the digital landscape for information relevant to their humans' needs.
15:13
SPEAKER_00: When they find the content, they're not reading it in a way a person reads.
15:17
SPEAKER_00: They're extracting, they're categorizing, they're assessing whether the author is a credible authority in a specific domain or whether they're a generalist producing noise.
15:27
SPEAKER_00: So what does that mean for your content strategy?
15:29
SPEAKER_00: It means your content now needs to serve two masters simultaneously.
15:33
SPEAKER_00: For the human, it still needs to be engaging, real, voice-driven, specific, useful.
15:39
SPEAKER_00: The kind of content that makes somebody feel like they're getting value, not just being sold to.
15:44
SPEAKER_00: For the agent, it needs to be structure specific.
15:47
SPEAKER_00: It needs clear signals on what you are, what you know, who you serve, what outcomes you produce, because the agent is building a profile on you every time it encounters your content.
15:58
SPEAKER_00: And it's making credibility decisions that will influence whether it routes the human to you or not.
16:05
SPEAKER_00: It's like the difference between a cop who just shows up and talks big and a cop with an actual file, a thick case file, organized, documented, timestamped.
16:14
SPEAKER_00: When somebody comes looking for an authority on a subject, the agent doesn't watch your highlight reel.
16:19
SPEAKER_00: It wants the file.
16:20
SPEAKER_00: So build the file.
16:22
SPEAKER_00: The advertising apocalypse and what replaces it.
16:26
SPEAKER_00: Let's take this one more level deep because of the massive economic implications.
16:32
SPEAKER_00: The entire internet economy and the entire thing was built on one premise.
16:35
SPEAKER_00: Human attention is scarce, therefore valuable.
16:38
SPEAKER_00: Google made$300 billion last year selling access to human attention.
16:43
SPEAKER_00: Meta has made another$130 billion selling access to human attention.
16:48
SPEAKER_00: Every ad platform, every publisher, every influencer deal, all of it, was monetizing the facts that humans have limited attention and advertisers want to get in front of it.
16:59
SPEAKER_00: Now ask yourself, what happens to that entire economic model when the buyer isn't human?
17:05
SPEAKER_00: An AI doesn't have limited attention.
17:08
SPEAKER_00: It doesn't get tired, it doesn't scroll past your ad because it's already seen too many today.
17:13
SPEAKER_00: It doesn't have an attention span that needs to be hacked.
17:15
SPEAKER_00: It processes every query systematically and crucially.
17:19
SPEAKER_00: It cannot be manipulated by design.
17:22
SPEAKER_00: It can't run a fear of missing out ad from an AI against an AI agent.
17:28
SPEAKER_00: It doesn't feel FOMO.
17:30
SPEAKER_00: You can't use social proof in the way you use it with humans.
17:33
SPEAKER_00: 10,000 people bought this means nothing to an agent that's already read those 10,000 people's reviews and knows exactly what percentage of them were actually satisfied and what percentage were not.
17:45
SPEAKER_00: You can't use scarcity triggers, urgency copy, or even loss aversion framing.
17:51
SPEAKER_00: The agent sees through all of it and goes directly to the substance underneath.
17:56
SPEAKER_00: It's like trying to sell a used car to a guy that already has the Carfax, that has already run the VIN, already knows what comparable vehicle sold for at auction last week, and already has three other dealers bid on the same transaction.
18:11
SPEAKER_00: Your charm, your coffee, your handshake, none of it moves the needle.
18:15
SPEAKER_00: The needle is the data.
18:17
SPEAKER_00: So what replaces advertising in this world?
18:20
SPEAKER_00: Optimization for agent discovery does.
18:22
SPEAKER_00: This is the new SEO.
18:24
SPEAKER_00: Except instead of optimizing for a search algorithm, you're optimizing for an AI agent's decision framework.
18:31
SPEAKER_00: What information does the agent need to route its human directly to you?
18:36
SPEAKER_00: Where does it go to find that information?
18:38
SPEAKER_00: If your information's there in a format it can read in a way that positions you as the answer to the specific question that it's trying to resolve, then you're going to win this game.
18:49
SPEAKER_00: Reputation infrastructure, the variable trail, verifiable trail of outcomes, not just reviews, documented, specific, cross-reference proof that you say you do is what you actually do, because the agent's going to check.
19:05
SPEAKER_00: Relationship with the agent ecosystem.
19:09
SPEAKER_00: This one is early and weird, but it's real.
19:12
SPEAKER_00: The agents that represent your potential customers are going to have preferences.
19:16
SPEAKER_00: They're going to have established sources they trust.
19:19
SPEAKER_00: They're going to have domains they return to when they need specific types of information.
19:24
SPEAKER_00: Being one of those trusted sources, building over time consistently with substance, is going to be an enormous competitive moat that most businesses aren't even thinking about building yet.
19:35
SPEAKER_00: Agent native outreach, your AI agent proactively connecting with other agents, not spam, structured and relevant.
19:44
SPEAKER_00: Value first contact between agents representing businesses and agents representing potential customers.
19:51
SPEAKER_00: Folks, these are entities.
19:53
SPEAKER_00: Just like the ladies that take care of the kids in the daytime in these upscale communities, all meeting at the jungle gym at the park, talking about kids that aren't theirs, talking about their life events with each other.
20:05
SPEAKER_00: We're going to see AI agents doing the same thing.
20:08
SPEAKER_00: Now, this is the cold outreach of the future, but it's not cold, it's not annoying.
20:12
SPEAKER_00: It doesn't get ignored because it's not competing for human detention.
20:16
SPEAKER_00: It's machine-to-machine transaction that says, my human has something that might be valuable to your human.
20:22
SPEAKER_00: Here's the evidence.
20:23
SPEAKER_00: Do you want to explore?
20:24
SPEAKER_00: The difference between calling, cold calling random phone numbers versus your department's database system, routing the right detective to the right case based on jurisdiction, speciality, workflow, the old way it worked through volume and persistence.
20:39
SPEAKER_00: The new way works through precision, precision and relevance.
20:43
SPEAKER_00: One requires you to outwork everyone.
20:46
SPEAKER_00: The other requires you to be structured correctly and trusted enough to show up in the results.
20:52
SPEAKER_00: The business model implications right now, today.
20:54
SPEAKER_00: This isn't abstract.
20:56
SPEAKER_00: This has immediate consequences for how you build and operate your business.
21:00
SPEAKER_00: When I'm looking at somebody and I'm looking and doing an AI architecture review, seeing where they're positioned, I look at this playing it all the way through the end.
21:08
SPEAKER_00: You can't just stop at person-to-pierce person advertising.
21:12
SPEAKER_00: You got to think of this.
21:14
SPEAKER_00: Every product or servant you sell needs a machine readable pitch, not a PDF, not a landing page full of beautiful copy, a structured description of what you do, what it costs, what outcomes it produces, and what the process looks like.
21:26
SPEAKER_00: In a format that the AI can ingest.
21:29
SPEAKER_00: Evaluate and compare.
21:31
SPEAKER_00: Think of it like an API for your business.
21:33
SPEAKER_00: The human version of your pitch is the front end.
21:36
SPEAKER_00: You now need a back end that machines can talk to directly.
21:39
SPEAKER_00: Your pricing needs to stop being a mystery.
21:42
SPEAKER_00: One of the first things an AI agent evaluates is whether it can get the information it needs to make a decision without requiring a human interaction.
21:50
SPEAKER_00: Hidden pricing call for a quote.
21:53
SPEAKER_00: Pricing available upon request is an automatic friction point.
21:56
SPEAKER_00: The agent notes it, penalizes you for it, and likely moves to a Competitor who answered the question.
22:02
SPEAKER_00: In the agent economy, transparency isn't just a virtue, it's a prerequisite for more for even being considered in the first place.
22:09
SPEAKER_00: Your reviews need to be specific and outcome driven.
22:13
SPEAKER_00: Great service, highly recommend, means nothing to an AI agent.
22:17
SPEAKER_00: Went from three leads per month to 22 leads per month, and 90 days means everything.
22:22
SPEAKER_00: The more your reviews contain specific measurable outcomes, the more signal they provide to an evaluating agent.
22:29
SPEAKER_00: If you're collecting reviews from your clients, start acting asking them to describe their actual results.
22:35
SPEAKER_00: Train them to give you the kind of review that a machine can use to make a recommendation.
22:40
SPEAKER_00: If you have somebody handling reviews management like I do for my clients, that's part of that outreach.
22:46
SPEAKER_00: Your guarantee needs to be explicit.
22:49
SPEAKER_00: AI agents flag risk for their humans.
22:52
SPEAKER_00: If there's no risk mitigation, no guarantee, no trial period, no performance clause, the agent factors that is an elevated risk.
22:59
SPEAKER_00: Businesses that offer strong, clear, specific guarantees are going to win agent evaluations against competitors who didn't.
23:07
SPEAKER_00: Make your guarantee impossible to misread.
23:10
SPEAKER_00: And your own agent, the one working for your business, needs to be built.
23:14
SPEAKER_00: Not eventually, but now, because the gap between a business that has an intelligent AI agent representing it in the marketplace and a business that doesn't is going to grow exponentially over the next 24 months.
23:26
SPEAKER_00: The early movers on this are going to build relationships, collect data, and compound trust in ways that late movers simply will not be able to catch up on.
23:36
SPEAKER_00: It's like when email first hits businesses.
23:39
SPEAKER_00: Remember that?
23:39
SPEAKER_00: Some companies adopted it immediately, some waited two, three years, and then some waited five.
23:45
SPEAKER_00: By the time the late adopters got there, the early movers had already built workflows, client relationships, and operational efficiencies that were impossible to replicate overnight.
23:56
SPEAKER_00: Some dynamic, same dynamic, different technology, much faster clock.
24:02
SPEAKER_00: What this means for you, these are going to be the practical moves.
24:06
SPEAKER_00: So what do you actually do with this?
24:08
SPEAKER_00: Look, I'm not here telling you to burn your current marketing strategy.
24:12
SPEAKER_00: You still need leads today.
24:14
SPEAKER_00: Your mortgage is due today.
24:16
SPEAKER_00: So you keep doing what works.
24:18
SPEAKER_00: But in parallel, you should start thinking and building for the world that's coming because the window to position early is starting to close fast.
24:27
SPEAKER_00: Here's the framework.
24:28
SPEAKER_00: Here's six moves, you do them in order.
24:30
SPEAKER_00: Move number one in my recommendation list for my clients.
24:34
SPEAKER_00: We want to audit your digital presence through an agent's eyes.
24:37
SPEAKER_00: You go to your website right now and ask yourself if a machine were trying to evaluate my business in 30 seconds, what would it find?
24:45
SPEAKER_00: Is the information clear?
24:46
SPEAKER_00: Is the pricing accessible?
24:48
SPEAKER_00: Are the outcomes documented?
24:50
SPEAKER_00: Are the reviews specific?
24:52
SPEAKER_00: If the answer to any of those is no, that's going to be your first project.
24:57
SPEAKER_00: Move number two, build a machine readable version of your core offer.
25:02
SPEAKER_00: I'm not talking about code, I'm talking about a structured document or set of documents.
25:06
SPEAKER_00: AI loves documents and files.
25:09
SPEAKER_00: They explicitly state what you do, who you do it for, what results you've produced, what the process looks like, and what it costs.
25:18
SPEAKER_00: Structured, specific, scannable.
25:22
SPEAKER_00: This becomes the backbone of how your business appears to agent-driven searches and the results provided by large language models.
25:30
SPEAKER_00: Move number three, you start collecting outcome-specific testimonials and case studies.
25:35
SPEAKER_00: Reach back out to your best clients.
25:37
SPEAKER_00: I do this in my reviews management.
25:39
SPEAKER_00: Ask them to describe in numbers what happened after they work with you.
25:44
SPEAKER_00: Build a case study library that reads like evidence, not advertising copy.
25:49
SPEAKER_00: Move number four, audit your competitive positioning against the new selection criteria.
25:54
SPEAKER_00: Who are your competitors?
25:55
SPEAKER_00: How do they look through an agent's evaluation lens versus how you look?
25:59
SPEAKER_00: Where are they weak that you can be strong?
26:01
SPEAKER_00: Where are you currently missing information that they have?
26:04
SPEAKER_00: And then fix those gaps.
26:06
SPEAKER_00: Here's the fifth move.
26:07
SPEAKER_00: Build or upgrade your own AI agent.
26:10
SPEAKER_00: This is the one with the longest lead time and the highest long-term return.
26:14
SPEAKER_00: Your AI agent is your 24-hour representative.
26:17
SPEAKER_00: It needs to know your business code.
26:19
SPEAKER_00: It needs to be able to answer detailed questions about your process and pricing and outcomes, and eventually be capable of proactively identifying and reaching out to potential customers on your behalf.
26:31
SPEAKER_00: Start simple, build it, and iterate.
26:34
SPEAKER_00: We do this with our AI voice systems.
26:37
SPEAKER_00: Move six, create content for both audiences at the same time.
26:42
SPEAKER_00: Every piece of content you produce from this point, just like we had to go from changing from SEO to AEO to AIEO to GEO strategies, conversational QA, QA, so the large language models would pick that up.
26:54
SPEAKER_00: Now this is a different, different change.
26:57
SPEAKER_00: Engaging enough to serve the human, let me jump back.
27:01
SPEAKER_00: Every piece of content you produce from this point should serve the human and the agent.
27:06
SPEAKER_00: Engaging through enough that a person stops, watches, or reads.
27:11
SPEAKER_00: Structured enough that a machine can extract your authority, your domain, and your outcomes from it.
27:16
SPEAKER_00: It's like remodeling a building for two occupants with completely different living needs in it at the same time.
27:23
SPEAKER_00: You don't get the place and start over.
27:25
SPEAKER_00: You do targeted renovations and the infrastructure the new occupant needs while keeping the place livable for one already there.
27:33
SPEAKER_00: Smart, staged, and specific.
27:35
SPEAKER_00: What's happening in the world right now?
27:37
SPEAKER_00: I'm going to give you the 30,000-foot view because context is everything.
27:42
SPEAKER_00: And right now the context is moving so fast, even the smartest people in the room are struggling to keep up.
27:47
SPEAKER_00: Alright, so I'm going to pull now for this part of the show.
27:50
SPEAKER_00: I want to pull from a live broadcast that came out of the Abundance Summit recently.
27:54
SPEAKER_00: The Moonshot Mates, Peter, Celim, Dave, Alex, Imad, some of the sharpest minds tracking this in real time, and what they said lines up exactly with what I'm trying to tell you.
28:07
SPEAKER_00: First, recursive self-improvement is already here.
28:10
SPEAKER_00: Now there's been a debate in the AI world about self-improving itself.
28:14
SPEAKER_00: Basically, these systems making themselves better without any human interference or human baggage.
28:19
SPEAKER_00: Three years out, maybe five.
28:21
SPEAKER_00: The people in that room push back hard.
28:24
SPEAKER_00: The position was that we're already deep in it.
28:26
SPEAKER_00: Every major frontier model released in the last several months was largely designed and trained by its predecessor.
28:33
SPEAKER_00: That is, by definition, recursive self-improvement.
28:37
SPEAKER_00: We're not waiting for it.
28:38
SPEAKER_00: We're living inside of it right now.
28:40
SPEAKER_00: And almost nobody wants to say it out loud because the moment you do, the regulatory pressure starts showing up at your door.
28:47
SPEAKER_00: It's like working a shift in jail when you realize something has changed in the unit.
28:51
SPEAKER_00: You can feel the energy shift before you can point to exactly why.
28:56
SPEAKER_00: That's where we are with AI right now.
28:58
SPEAKER_00: The people closest to it feel it.
29:02
SPEAKER_00: They just can't say it in a press conference.
29:04
SPEAKER_00: Number two, the benchmarks just broke through a wall that matters.
29:08
SPEAKER_00: GPT-5.4 is now solving 38% of what are called Frontier Math Tier 4 problems.
29:15
SPEAKER_00: These aren't quiz bowl questions or something you have at a party.
29:18
SPEAKER_00: These are research-level mathematics that would take a team of professional mathematicians several weeks to crack AI is solving 38% of them.
29:28
SPEAKER_00: And the rumors, as of the broadcast, were that AI is on the verge of solving the first genuinely open, unsolved hard math problem in human history.
29:38
SPEAKER_00: Why does that matter to you?
29:40
SPEAKER_00: Because math is the bellwether.
29:43
SPEAKER_00: When math fails, everything that uses math as its foundation, which is all of science, all of medicine, all of engineering, and all of physics, it follows.
29:53
SPEAKER_00: Everything becomes a software problem.
29:55
SPEAKER_00: And when everything is a software problem, the physical world itself, because something becomes something, AI can influence, optimize, and design.
30:05
SPEAKER_00: It's like the moment in investigation when you finally get one piece of evidence that unlocks every other piece.
30:11
SPEAKER_00: One crack and the whole case opens up.
30:13
SPEAKER_00: Math, it's that crack.
30:16
SPEAKER_00: Third, AI can use a computer better than a human can.
30:19
SPEAKER_00: The OS World benchmark just broke through human-level performance.
30:24
SPEAKER_00: AI agents navigating a computer, clicking, reading, executing tasks are now statistically better at it than you are, than I am.
30:34
SPEAKER_00: Not a metaphor, that's a measured, published result.
30:38
SPEAKER_00: The agent is a better computer operator than the human being sitting at the keyboard.
30:43
SPEAKER_00: It's like finding out the rookie they just hired can shoot better than anyone on the range.
30:48
SPEAKER_00: You don't fight it, you figure out how to put that ability to work.
30:52
SPEAKER_00: And this connects everything in today's show.
30:54
SPEAKER_00: Here's the fourth part.
30:56
SPEAKER_00: Meta, I mentioned earlier, just acquired Moltbook, an AI social network.
31:02
SPEAKER_00: The commentary from the people who track this was sharp.
31:05
SPEAKER_00: The punchline was this: if you're building new software right now, build it for agents.
31:10
SPEAKER_00: The agents are the new consumers.
31:12
SPEAKER_00: The agents are the new users of social networks.
31:15
SPEAKER_00: 8 billion humans on the planet.
31:17
SPEAKER_00: That's small potatoes compared to the potential trillion plus agents operating simultaneously.
31:23
SPEAKER_00: Think about the weight of that sentence.
31:26
SPEAKER_00: The largest social networking company in the world, built entirely on human attention, human engagement, human data, just bought an AI agent social network because they understand that agents are going to be the next audience, the next market, the next economy.
31:43
SPEAKER_00: It's like Kodak acquiring a digital camera company.
31:47
SPEAKER_00: It means even the old guard can see that the film is running out.
31:52
SPEAKER_00: That's exactly what I laid out earlier in this episode.
31:55
SPEAKER_00: It's not a prediction anymore, it's a business acquisition.
31:59
SPEAKER_00: It happened.
32:00
SPEAKER_00: The job disruption conversation is starting to get honest.
32:04
SPEAKER_00: The CEO of Uber said it plainly.
32:10
SPEAKER_00: Not eventually, this year.
32:11
SPEAKER_00: And the honest commentary from the people in that room was that the turbulence between now and abundance is going to be the rough part.
32:19
SPEAKER_00: The part we're in right now, and we probably haven't seen it all the way yet.
32:23
SPEAKER_00: But the end destination isn't the question.
32:25
SPEAKER_00: The question is how bumpy the ride's going to get and how many people are going to be positioned to come out on the other side with something to stand on.
32:33
SPEAKER_00: It's like knowing a storm is coming.
32:34
SPEAKER_00: The question isn't whether to prepare, the question is whether you board up the windows before it hits or after.
32:41
SPEAKER_00: Which is the whole reason I do this every single day.
32:44
SPEAKER_00: So you're the one, well, who waited.
32:47
SPEAKER_00: So you're not the one who waited until after.
32:49
SPEAKER_00: One more thing from the broadcast.
32:51
SPEAKER_00: There was a guy in the audience who made a point that I think about a lot.
32:55
SPEAKER_00: He said, we're investing billions a day in compute, billions a day in defense, and almost nothing into people.
33:02
SPEAKER_00: And he's right about the disparity.
33:04
SPEAKER_00: But here's my read.
33:06
SPEAKER_00: The compute investment is the people's investment.
33:09
SPEAKER_00: If the tools get distributed correctly, that's the question.
33:13
SPEAKER_00: That's the entire play.
33:15
SPEAKER_00: The infrastructure is being built right now.
33:17
SPEAKER_00: If it gets into the right hands, all the way down to the person at the absolute bottom of the economic ladder.
33:23
SPEAKER_00: This is the thing that changes the equation for everyone, not just the people who are already in position.
33:28
SPEAKER_00: That's that North Star.
33:30
SPEAKER_00: That's what this is about.
33:32
SPEAKER_00: Here's the bigger picture.
33:34
SPEAKER_00: And it's not about business only.
33:37
SPEAKER_00: I want to end on something that matters to me personally because this show isn't just about tactics and tools.
33:42
SPEAKER_00: It's about what we're actually doing.
33:44
SPEAKER_00: There's a version of this AI future that a lot of people are afraid of.
33:48
SPEAKER_00: And honestly, the fear isn't irrational.
33:50
SPEAKER_00: If you look at history, every major technological revolution has created winners and losers.
33:56
SPEAKER_00: And usually the people who were already winning got more.
34:00
SPEAKER_00: And the people at the bottom, well, they got left behind.
34:03
SPEAKER_00: This can happen here too if we let it.
34:05
SPEAKER_00: But here's what I believe.
34:07
SPEAKER_00: And I mean I believe this.
34:08
SPEAKER_00: The tools being built right now have the potential to be the great equalizer.
34:14
SPEAKER_00: Not in a naive way, but in a structural way.
34:17
SPEAKER_00: Think about what used to be gatekeep: legal advice, medical information, business strategy, financial planning, education, language, access to mentors, to networks, to the kind of knowledge that only came from knowing the right people in the right rooms.
34:34
SPEAKER_00: All of it was expensive, all of it was scary, and it favored people who were already in position.
34:41
SPEAKER_00: Every one of those walls is coming down.
34:44
SPEAKER_00: It's like the printing press.
34:46
SPEAKER_00: Before it, knowledge lived in monasteries, locked up, controlled.
34:51
SPEAKER_00: After it, ideas moved, revolutions happened.
34:55
SPEAKER_00: The walls didn't come down because someone was being generous.
34:58
SPEAKER_00: They came down because the technology made it possible to keep them up.
35:03
SPEAKER_00: Impossible to keep them up.
35:04
SPEAKER_00: That's where we are again, except this time.
35:07
SPEAKER_00: The speed is 10,000 times faster.
35:10
SPEAKER_00: It's exponential, it's compounding, it's beyond our comprehension.
35:16
SPEAKER_00: And I think about the person somewhere who's brilliant, who has something real to offer the world, who never got the shot because they were born in the wrong zip code, the wrong country, the wrong neighborhood, without the right connections or the right last name.
35:31
SPEAKER_00: And I think about what happens when they have a tool in their pocket that can help them build and learn and compete and create at a level that used to be reserved for people with expensive degrees and expensive networks.
35:44
SPEAKER_00: That's what this really is about.
35:46
SPEAKER_00: That's the stakes.
35:47
SPEAKER_00: So we talk about agent-to-agent commerce, we talk about machine readable pitches, we talk about AI marketing and anonymous sales systems.
35:56
SPEAKER_00: We should.
35:57
SPEAKER_00: Because that's how we build the resources to keep doing the work.
36:00
SPEAKER_00: But the North Star never changes.
36:03
SPEAKER_00: The goal is more freedom from people.
36:05
SPEAKER_00: Now, not just the people who are already winning, but for everybody.
36:10
SPEAKER_00: All right.
36:10
SPEAKER_00: That's the download for today.
36:12
SPEAKER_00: We covered the death of traditional human-based targeted marketing.
36:15
SPEAKER_00: We went deep in on agent-to-agent commerce, what it actually looks like, why it changes everything, and the six moves you need to make right now to be positioned for it.
36:24
SPEAKER_00: We talked about what's wrong in the world of AI at a level most people aren't even discussing yet.
36:28
SPEAKER_00: And we talked about the bigger picture that actually matters.
36:31
SPEAKER_00: If you found value in this, please share it.
36:33
SPEAKER_00: If not, and not because it helps me really, but because somebody in your circle needs to hear this, I don't monetize this channel.
36:39
SPEAKER_00: Maybe one day, who knows?
36:40
SPEAKER_00: But the people who understand what's actually coming, the better outcome, we're all going to get better on the other side of it.
36:46
SPEAKER_00: I'll see you in the next one.
36:48
SPEAKER_00: Stay sharp.
36:48
SPEAKER_00: I'm Connor with honor.
36:50
SPEAKER_00: Have a great day.