Video: Is This Is How AI Will Replace You?

Good morning.

Got a video for you in this issue, on the topic of AI replacing me, you, and jobs.

This is a more nuanced take than I often see.

I’m not dooming or hyping.

But we do need to have a frank discussion about this, because the reality is:

AI is in the process of shifting labor, and by doing so, a lot of jobs won’t be needed anymore.

But, new jobs will come up.

— Sam

IN TODAY’S ISSUE 🤖 

• The 3 Levels of AI User

• How Smart Operators Use AI Without Coding

• Creating Your AI Clone

• Using Vector Databases & Feedback Loops

• Business Freedom vs Being Replaceable

• AI Agents That Run Your Business

• The Final Choice: Irreplaceable or Replaced

Let’s get into it.

This Is How AI Will Replace You (Unless You Do This First)

If it wasn’t clear by now, let me say:

I do not build AI systems for replacing people and their jobs.

In fact, I have contract clauses that prohibit people using the systems I design and build for that purpose.

But, I’m also not going to pretend that AI won’t replace some jobs and some work.

It is and it will continue to do so.

New work and tasks are cropping up, as fundamentally, AI shifts labor more than it replaces labor.

This isn't about AI replacing humans. Sure, that might happen to some extent. Instead, this is about a fundamental shift in how viral content gets created.

If you’re more of a reader:

Over 300 million jobs are replaced by AI and the number is not stopping soon.

Fortune 500 companies like Microsoft and IBM are using AI agents to replace human employees.

This is happening right now yet most of you are still playing with generic chatbots, thinking you’re ahead with AI.

The truth is, you might be further than you think.

I've spent the last eight years building AI infrastructures. I started in machine learning in 2016, moved into generative AI in 2019, and now I design the exact AI systems that for some the world's largest companies, and much smaller online businesses, too.

This is why I want to tell you that there are three levels of AI users.

Level one users ask ChatGPT questions and think they're ahead.

Level two users build workflows and feel productive.

Then, there is the third level of users, the most advanced ones who are generating millions of revenue using AI while enjoying family dinner. This is the level where your growth becomes so permanent that even AI cannot replace you.

By the end of this, you'll know exactly which level you're on and how to reach level three before the new AI advancement replaces you forever.

Everyone has access to ChatGPT now. Your competitors have the same prompts you do. Your clients are getting the same generic responses from the same AI models.

So, if everyone's using the same intelligence, and nobody has an advantage, all of us are equally replaceable.

Most AI users look at all this AI system building and think they need to become programmers.

They think they need computer science degrees, need to learn coding languages and build everything from scratch.

And this fear keeps them stuck using basic AI tools while others build million-dollar automated businesses.

Here's what's really happening in the market right now:

While most people wait to “learn enough technology,” a small group of business operators are building advanced AI systems using simple drag-and-drop tools. They're not programmers or engineers.

They're smart thinkers who understand business processes and customer psychology. They’re training AI systems that can think like them, make decisions like them, and run their business like them.

Think about this for a second. What if AI could make decisions exactly the way you would make them, communicate in your exact voice, and apply your unique expertise to any situation?

This isn't imaginary or theoretical anymore. The smart business leaders are creating AI versions of themselves that can handle strategy sessions, client consultations, and business development while they focus on higher-level growth.

For example, a CEO can now train an AI on ten years of his consulting sessions. Now that AI handles initial client strategy calls, clients can't tell the difference whether it’s done by AI or a human.

This means your personalized AI becomes your most valuable business asset. But most people are stuck in the customization trap. They get great output from generic models, but then they spend hours reworking everything.

Why? Because the AI doesn't know their brand positioning. It doesn't understand their audience's pain points. It can't match their communication style or strategic approach.

It’s just like you’re using a Ferrari with no steering wheel…you get speed, but you lose all control.

Therefore, you need to create your AI clone so even if your competitors copy your prompts, they can't copy the AI that's trained on years of your expertise.

Here's a quick overview if how you build your AI clone, step by step.

First, you need to create your knowledge architecture. Start by getting everything that shows your best approach to thinking. Collect your most successful client presentations, your proven frameworks, your case studies, and your decision-making processes.

But don't stop there. Record yourself explaining your approach to complex problems. Capture your voice memos where you work through challenges. Document the questions you ask when analyzing new opportunities.

For example, when evaluating a new market, do you start with competition analysis or customer pain points? Do you prioritize market size or market timing? Your AI needs to know your unique approach to every decision.

Next, you need to structure this knowledge in four layers. Think of it like building a pyramid of expertise. At the foundation level, add your core principles and beliefs about your industry. A financial advisor might include beliefs like ‘’risk tolerance changes with life stage.’’

At the strategic level, include your frameworks for analysis, planning, and execution. This same advisor might add his five-step retirement planning framework, or his market analysis methodology.

At the tactical level, add your specific processes, templates, and playbooks. Include your client onboarding checklist, your presentation templates, your follow-up sequences.

At the execution level, include your communication templates, presentation formats, and delivery methods. This means your exact email signatures, your meeting agendas, and even your preferred ways of explaining complex concepts.

Then, use vector database platforms like Pinecone or Weaviate to store your content. Think of vector databases like Google search, but instead of finding exact word matches, they understand meaning and context.

When you ask your AI about client retention, it won't just find documents with those exact words. It will understand you're asking about keeping customers happy and pull from your relationship management strategies.

This is why vector databases are game-changing. Traditional search finds what you type. Vector search finds what you mean. If you ask about ‘’difficult clients,’’ your AI will connect that to your conflict resolution processes, even if those documents never use the phrase ‘’difficult clients.’’

But here's the advanced move most people miss…creating feedback loops. This is where your AI learns from every interaction.

Set up systems where you can review your AI's outputs, provide corrections, and have those improvements automatically included into future responses. Your AI clone gets smarter and more accurate every time you use it.

Start with one high-impact use case where your expertise creates the most value. Maybe it's consulting sessions, maybe it's content creation, maybe it's client onboarding. Build your AI clone to handle this one function perfectly before expanding to other areas.

Test everything ruthlessly. Compare your AI's output to your own work until it's flawless.

Have other people compare both without knowing which is which.

Your goal is to create an AI that thinks like you and delivers value exactly the way you would.

This is how you go from being replaceable to being irreplaceable. But having a personalized AI clone is worthless if it's still stuck doing one task at a time. Most people stop here. They build their AI clone, use it for content or consulting, and think they've won. But they don’t realize that they're missing the bigger picture completely.

Business owners use AI to create content faster, and handle customer questions. But at the end of the day, they're still manually moving information between systems, personally handling every decision, and are trapped in their business instead of owning it.

For example, you might see a consultant celebrate because his AI helped him write proposals in twenty minutes instead of two hours. But he was still individually handling every client onboarding. He saved time but gained zero freedom.

On the other side, there are entrepreneurs who haven't touched their business operations in months and still their businesses generate more revenue than ever. The difference isn't that they're smarter or work harder. They know how to achieve business freedom and have built systems that run without them.

If your business can't operate for days without your direct involvement, you don't own a business. You own a job and AI gives you the chance to change this forever, but only if you think beyond individual tasks.

This is also where most people get stuck. They think in terms of individual tools instead of connected systems. They use ChatGPT for content, Calendly for scheduling, and their CRM for follow-ups.

But these tools don't talk to each other, iInformation doesn't flow automatically, and decisions don't happen without human input. They've built a collection of helpful tools instead of an intelligent business system.

The breakthrough happens when your AI systems become connected and intelligent. When one AI system completes its task, it automatically triggers the next AI system. Therefore, the smartest users are building AI-driven autonomous operations that run without them.

Here's how you can build business systems that operate without you:

Start by mapping every single step in your business process.

Write down everything. When someone visits your website, what happens next? How do they learn about your services? What questions do they ask? How do you schedule meetings? What happens during consultations? What's your follow-up sequence?

Now identify every place where you personally make a decision or take an action. These are the points where your business stops moving without you.

Next, design AI agents for each major business function. If you want to build a lead generation agent, research companies with 50 to 200 employees in the software industry.

Look for signs of rapid growth like recent funding, or new hires. Then, find the CMO or VP of Marketing on LinkedIn, and research their background or recent posts.

Write a personalized message that references their specific challenges and offers a relevant solution. Send follow-up messages every 5 days for 3 weeks. If they respond positively, book a strategy call on the calendar and send pre-meeting questions.

An AI agent handles this entire process. It finds prospects, researches their situations, sends personalized outreach, manages follow-ups, and books meetings. So you can wake up to qualified appointments on your calendar without sending a single cold email personally.

You can also create a delivery agent that onboards new clients, manages project timelines, and delivers your services. The key is connecting these agents so they work together.

Use platforms like Make, n8n, or Zapier to connect your AI agents to your business tools. When someone fills out a contact form, your system can automatically research their company, schedule a call, and send calendar invites.

But the most advanced step is to build decision trees for every scenario your business might face. What happens if someone doesn't show up for their appointment? What happens if a payment fails? What happens if someone asks for a refund?

Document your decision-making process for each situation. Then build your AI systems to handle these decisions automatically.

When you do all of this, you move closer to your goal of building a business that operates at full capacity whether you're working or not.

You start generating millions of revenue from an independent business that is handled by AI systems.

You get the freedom of time and money and you’re finally at peace.

This is how solo entrepreneurs build million-dollar businesses and compete with enterprise organizations.

Perhaps there will be huge job losses due to AI.

Perhaps there won’t be.

What truly matters is what you’re doing with AI inside your business.

Take the time to use the tools, build systems, get your hands dirty with platforms like Lindy, Activepieces, Gumloop, n8n, and so on.

Test prompts. Experiment with Projects. Figure out Agents and Agentic Workflows.

You can’t study your way to using AI.

You have to actually use it.

Until next time,
Sam Woods
The Editor

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