Is Learning n8n a Waste of Time?
45sDirectly challenges common assumptions about learning automation tools, sparking curiosity and debate.
▶ Play ClipThis video explores whether learning n8n and automation can actually generate income. The speaker warns that without understanding real-world challenges and business problem-solving, learning n8n could be a poor investment.
Most people don't ask if learning n8n can actually make money, and the truth is it could be a bad decision without proper understanding.
Tutorials often use small scenarios, but real-world automation involves thousands of data points, leading to failures like duplicate leads and data loss.
Effective learning comes from a roadmap with continuous experimentation, not just watching videos or copying workflows.
Overcomplicating workflows with many nodes increases error chances; simplicity is key.
Clients care about solutions and cost savings, not whether you used n8n or Python. Define the problem first, then choose the tool.
Engage clients to understand their repetitive tasks and goals, transforming from a tool user to a business problem solver.
Without marketing skills, you remain just a skill on a CV; you need to sell your ability to solve problems.
Learning n8n can be profitable if you focus on solving client problems and marketing yourself, rather than just mastering the tool.
"Title accurately reflects the video's core question about earning money with n8n and automation."
What is the main reason tutorials fail to prepare you for real-world automation?
Tutorials use small scenarios, not real-world scale with thousands of data points.
01:14
What should you focus on more than learning a specific tool like n8n?
Focus on solving the client's problems or pinpointing issues.
03:50
What is the recommended approach to learning automation effectively?
Follow a proper learning roadmap with trial and error and continuous experimentation.
01:41
What is a key question to ask a client to understand their automation needs?
What's the most repetitive and tedious process you have?
03:08
Why does the speaker say simplicity wins in automation?
Because unnecessary complexity increases the chance of error.
02:14
Crucial Unasked Question
Challenges the assumption that learning n8n automatically leads to income.
00:04Small-Scale vs Real-World
Highlights a critical gap between tutorials and practical application.
01:14Simplicity Principle
Emphasizes that overcomplicating workflows increases failure risk.
02:14Problem-First Approach
Shifts focus from tool proficiency to business value creation.
02:26Marketing Yourself
Stresses that technical skill alone is insufficient without self-promotion.
03:50[00:04] Int@n and other platforms, there's a question most people don't ask, despite its crucial importance: Is it possible to learn Int@n and start making money from it? The truth is, learning Int@n could be the worst decision you make this year unless you understand what you're getting into and how to handle it correctly. Imagine you've finished an Int@
[00:21] n course and advertised that you work on automation for freelance platforms. Finally, your first client comes in, and this client requests a simple automation for post-sale client follow-up. You confidently
[00:33] tell them it will be ready in a week. Of course, you've seen many YouTube tutorials of people creating workflows, and you do the exact same thing. And then, you download and test the workflow, and everything works perfectly. You hand the work over to the client, reassured because you've
[00:50] tested it and everything is fine. But suddenly, three days later, numerous problems arise with the client, and they come back to you saying that the leads are duplicated and the data isn't being saved. Its locations and errors are endless,
[01:02] and you spend day and night trying to fix them for automation that should be simple. This unfortunately happens because when you learn about ANN, whether from YouTube or Udemy, all the tutorials you see
[01:14] work on small scenarios, not real-world scale. For example, seeing a workflow that works perfectly with 10 clients is completely different from receiving thousands of data points from a
[01:26] real company. So, when you're building a workflow, automation, or solution, you have to take your time testing and experimenting, and look for potential failures before success. This comes from actually taking the before success. This comes from actually taking the time to learn ANN and automation correctly, and this is done
[01:41] through a proper learning roadmap with trial and error and continuous experimentation. But what I honestly see, and what often happens in reality, is that most people spend hours watching YouTube videos, and then they most people spend hours watching YouTube videos, and then they
[01:58] internet, tested, and are sure are working. They're working perfectly, but in reality, they can't build any workflows from scratch. Or perhaps someone else thinks that by building a workflow with 50 nodes, they've mastered the game of automation, but that's not always true. The
[02:14] the game of automation, but that's not always true. The truth is, simplicity wins, and the more unnecessary complexity you add, the greater the chance of error. The real disaster is
[02:26] learn programming simply because they think it's all about automation, when in reality, you can automate with automation, when in reality, you can automate with other tools like Python. And the customer isn't concerned with whether you've learned programming or whether it matters to them if you solve their problem or
[02:40] save them money. So instead of saying, "I learned," say, "I'm solving your customer follow-up problem—the ones you lose after a sale due to insufficient follow-up. I do this using In-It-In," or, for example, "I'm saving you the cost of having an employee working on a
[02:56] repetitive task." Most importantly, learn how to identify difficult customer problems. You present them with a solution, and this is where your role comes in. You don't just offer workflow or a quick fix; you need to engage your business side
[03:08] more and ask the client questions about the problem or goal to arrive at the best solution. Questions like, "What's the most repetitive and tedious process you have?" Explain your problem in more detail,
[03:20] Explain your problem in more detail, even if you find it boring, to get a complete picture. At that moment, you transform from someone who just knows how to use a tool to someone who understands business. Always define the problem first, then look for the tools that will help you
[03:34] first, then look for the tools that will help you solve it, whether it's Intn or something else. For example, ask yourself, " How can I automate a process that saves 5,000 riyals per month for this business?" Then, learn only the tools that will enable you to achieve that goal. Finally, if you don't know how to market yourself, you'll remain just someone with a
[03:50] skill on their CV. After all this, we need to answer the question: Is it worthwhile to learn Intn? If you want to make money from it, the answer is yes, you can start and profit from automation, but on the condition that you focus on solving the client's problems or pinpointing issues, as they say, more than
[04:06] focusing on learning a specific tool or how to do a workflow. Because, as I said, if it's about workflows, there are a million workflows available online. If you benefited from the video, please like and subscribe. If you have any questions, write them in the comments. See you in another video.
[04:21] comments. See you in another video.
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