AI Agents Will Replace You Sooner Than You Think

Summary

Podcast Summary: "AI Agents Will Replace You Sooner Than You Think"

Podcast: Earn Your Leisure
Hosts: Rashad Bilal and Troy Millings
Guest: 19Keys (appearing as “Earnest”, AI Expert & Thought Leader)
Date: April 26, 2026
Platform: iHeartPodcasts

Overview of the Episode

This episode dives deep into the world of AI agents, featuring global thought leader 19Keys (“Earnest”) as he explains how these advanced artificial intelligence systems are rapidly transforming business, automating tasks, and reshaping the workforce. He breaks down what AI agents are, their practical use cases, and the major opportunities (and threats) they present in the evolving digital economy. The conversation focuses on equipping listeners—especially entrepreneurs—with practical insights to leverage AI for generational wealth, increased productivity, and competitive advantage.

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Key Discussion Points & Insights

1. Introducing AI Agents

• Definition:
  • AI agents are semi-autonomous software systems powered by artificial intelligence that can act independently on assigned tasks.
  • They range from simple daily assistants (e.g., delivering the weather) to complex, skill-based tasks, learning and adapting as they interact.

2. Pattern Recognition and Predicting Trends

• Role of Thought Leaders:
  • 19Keys describes his gift as "pattern recognition," allowing him to spot and synthesize trends before they become mainstream.
  • His goal is making these insights accessible, especially to underserved entrepreneurial communities.

3. “Second Brain” Systems

• Personal Use Case:
  • Earnest mentions building a "second brain" using Obsidian—an app (“Obsidian Vault”) for knowledge management.
  • He feeds it with all his content, from social media data to analytics and customer records, allowing the AI to find connections and organize his digital life.
• Visualizing Data:
  • The system creates a “knowledge graph,” a visual map connecting all of his ideas, projects, and data points—enabling pattern discovery across years of work.

4. Practical Business Applications

• Customer Relationship Management (CRM):
  • Using AI agents, he merged over a decade of customer data, identifying his top 100 customers and their habits.
  • Example: AI agents can trigger birthday cards, gifts, or alerts for significant dates/events—think “virtual personnel” executing tasks on your behalf.
• Automation & Autonomy:
  • Once set up, AI agents can become largely autonomous—ingesting new data, improving their own “memories,” and executing increasingly complex skills.

5. Impact on Jobs and Systems

• Automation Reality:
  • AI is not strictly replacing humans, but rather automating “systems”—anything repetitive, data-driven, or routine.
  • Quote (07:56):

    “It's not that it's replacing jobs or humans, rather, it's replacing systems. And what people end up doing, they end up working in a system. You become a cog in the machine. And so now they're looking and saying that, oh, we only need machines to do these jobs. So people that were doing machine like jobs are getting replaced rapidly and faster and faster.” — Earnest

• Agentic AI Economy:
  • A new economic wave is coming where “agentic AI” will create massive opportunities for those who adopt quickly, while displacing those in automatable roles.

6. Advice for Entrepreneurs

• First Steps:
  • Begin by making your AI agent “context aware”—feed it all relevant business data so it understands your needs.
  • Progressively assign it more skills and tasks: start small, then let the AI grow in autonomy as its database and capabilities expand.
• Key Takeaway:
  • “If you don't learn how to work with AI agents, you might get replaced by someone who does.”

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Notable Quotes & Memorable Moments

• On Accessibility:

  “Most people are too busy to understand things that's going on in technology, science, economics... I’m trying to make sure the culture is abreast and up to date and all of our global entrepreneurs who are focused on generational wealth right now.” — Earnest, 02:56

• On AI Agents' Potential:

  “You essentially, it's like having personnel working on your behalf that you're giving specific tasks to do certain things. And the agentic AI economy is about to boom.” — Earnest, 08:22

• On Pattern Recognition:

  “What my gift is, is pattern recognition... I then try to take that information, synthesize it, and give it to the average person so that they can actually use it in some use way.” — Earnest, 02:32

• On Shifting Work Paradigms:

  “It’s not about replacing humans—it’s about replacing systems. If you’re working in a system that can be automated, you’re at risk. But if you can build the system, you own the future.” — Earnest, 08:15

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Timestamps for Important Segments

• [02:07] — Introduction to the episode’s AI focus and what AI agents are
• [02:25] — 19Keys/Earnest on personal pattern recognition and synthesizing tech for entrepreneurs
• [03:18] — Layman’s explanation of AI agents and their evolution
• [05:27] — Deep dive on building a “second brain” with Obsidian and data ingestion
• [07:15] — Building a dynamic CRM with AI and leveraging customer data
• [08:22] — The “agentic AI” economy and why it’s booming; AI agents as virtual personnel
• [08:55] — Reframing replacement: Systems vs. jobs

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Language & Tone

The speakers maintain a conversational, approachable, and motivational tone, blending practical business advice with big-picture tech trends. There's a consistent emphasis on empowerment—especially for entrepreneurs and underrepresented communities—along with a clear, actionable breakdown of otherwise complex AI concepts.

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Final Thoughts

This episode serves as both a warning and a roadmap: AI agents are no longer a distant possibility—they are here now, transforming work and business at an unprecedented pace. Listeners are encouraged to embrace, experiment with, and invest in these new tools, or risk being left behind in the next wave of technological disruption.

Transcript

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[Interviewer]

AI agents. AI agents. I know you're big on AI agents right now. Let's talk about AI agents. How you came to this epiphany about AI agents. Explain what an AI agent is like. Let's break down. Let's have this technology conversation.

[Earnest (AI Expert)]

Absolutely. Can y' all see me? I'm coming in clear. I could be. Yes, sir. All right, bet. Well, first of all, for those who don't know, I'm 19Keys global thought leader. I lecture around the Country. And what my gift is, is pattern recognition. Right. I see things before most people and I then try to take that information, synthesize it and give it to the average person so that they can actually use it in some use way. Most people are too busy to understand things that's going on in technology, science, economics. Right. Even when we talk about cognition and the state of thinking as the lack of critical thinking today. And I'm trying to make sure that the culture is abreast and up to date and all of our global entrepreneurs who are focused on generational wealth right now.

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So that's, that's. Is that you had a. Is that your phone?

[Earnest (AI Expert)]

Yeah, that was the team hitting me up. Let me go. So AI agents and I want to keep this in simplest terms, and I think we was here before and I was explaining why we're now in an era where you don't have to over explain things. Because the beauty of it is everybody does have AI, right. And if you're intelligent enough to say, okay, what is an AI agent? It's in semi autonomous, right. Artificial intelligent machine. Right. That is software that can act for you. So you can set up an AI agent and say, every single day I want you to tell me what the weather is. It can be something as simple as that, or you can say every single day. And you can have more complex things where you can feed these agents what they call skills, and these skills allow them to do repeatable things. Right. And so sometimes I have my AI agent. Hold on. We tell the team to just relax on the text sometime. I have my AI agent send me briefs every single day, going through all of my content. And what I've done is I built out what they call a second brain system. Now I had predicted that these things were going to occur a few high level conversations ago, maybe about two to three years, right? Three. And now I remember. Yeah. And now we're finally in that place where I can actually build out a lot of the things that we were predicting. When at first it was, we would tell you about them, but we didn't actually have the ability to act on them. Right. And so the second brain system is essentially me using something called Obsidian, which is this boat where you can keep all your data in. And what I've ingested inside this boat is as much data as I possibly can on myself. We coming in clear? I know it sounds like there's a little echo. I don't want that to be the case. We good?

[Interviewer]

One second.

[Earnest (AI Expert)]

Mike, mute out if you're Unmuted. Yeah, we trying to cook today.

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[Earnest (AI Expert)]

We hear you. Clear.

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Yeah.

[Earnest (AI Expert)]

All right. Bet, bet, bet. All right, so we build out a second brain system, and everybody should write that down and put it in the chat if you can. And you use something called Obsidian Vote. This Obsidian Vote is essentially a space where you can collect all your data. So I ingested all my data from Twitter, I adjusted my data from YouTube, Facebook, Manychat Analytics. I've done it across anything that I can possibly ingest from Claw to ChatGPT. Therefore, I can see all of the things that I've been working on, thoughts that I forgot about, patterns that I have that are reoccurring across time all the way from the last 10 years up until now. And what ended up happening is there's actually a graph that it shows you. You can barely see it. But I'll show you right here to where your graph is. Like a knowledge graph. Each one of these points is a piece of data, right? So this might be a tweet right here that then connects to something, right? This one says, this work gets harder because we independent. I was cooking that day, you understand me? But then each one of these is connected to more information. This might be YouTube, this might be Twitter, These might be data that is training something on my dashboard, or something else might be from Instagram. And then what I do is I take each one of these and I connect the patterns across time so then I can feed that to my agent and it becomes his mind. And so it's a little more technical on the back end as far as making sure it has a consistent memory so that every time you give it a task, it remember what you told it to do. So therefore it's checking on that memory and then is growing as it's consistently working with you. So these AI agents are things that people are using inside text, inside Telegram, right? And they're running their businesses on it after they get it set up. The first systems to set up is first getting it to become context aware. So you want to first start with the context of sending all your data in. And once it have that data, then you can start utilizing it in a way where you're telling it what to do, and then you can start building skills upon it. And then it gets to a point where you can start being autonomous with it. One of my greatest use cases so far was me creating a CRM from all of my customer data over the last 10 plus years, right? So now I was able to find 246,000 customers to where I now get to see who are my top 100. I've seen people who didn't bought 50 to 100 products. I didn't see people who didn't bought something from every single thing that I've bought. They didn't showed up in person because I was able to take all of that data, then rearrange it into this system to where I now know who exactly this person is when they bought. Right. Et cetera. And now I can retarget them or just call them directly. I'm literally about to call my top 100 customers. You feel me? Because we built out a system now where my AI agents can show me who those people are when they buy. It can send me a ping, it can tell me when they birthday is. I can have an AI agent send them a birthday card if I want to, or send them a gift card. You essentially, it's like having personnel working on your behalf that you're giving specific tasks to do certain things. And the agentic AI economy is about to boom. Right? This is where the big opportunities are looming. And a lot of people are afraid because they're looking at the fact that AI agents are essentially autonomous systems. So anything that has a system can be automated. That's the whole idea. It's not that it's replacing jobs or humans, rather, it's replacing systems. And what people end up doing, they end up working in a system. You become a cog in the machine. And so now they're looking and saying that, oh, we only need machines to do these jobs. So people that were doing machine like jobs are getting replaced rapidly and faster and faster.

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[Earnest (AI Expert)]

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