Why Non-Coders Are Falling Behind in the AI Era

Today, everyone is using AI to be more efficient, but are they using it to be more effective? Why are the most effective AI users people with programming skills?
effectivness_with_ai

Andrew Ng, the CEO of Deep-learning.ai has been pretty vocal when it comes to programming literacy – hence why he’s been writing posts like these:

“Among people in non-technical roles (recruiter, marketer, sales, …) I notice the more technical ones being more effective, and the gap is increasing. E.g., the ones that took a coding course are outperforming the ones that didn’t. Has anyone else noticed this? 

One obvious theory is that they are better at using AI, but would love to hear if you have other theories.”

Would You Still Learn to Write if AI Can Write Everything for You? 🤔

It seems like an obvious yes. Or not?

For us, it’s evident that writing isn’t just about putting words on a page – it’s about being able to explore, structure, and organise ideas into coherent thoughts. It’s essential for thinking deeply, structuring solutions to solve problems, and critical thinking. It’s a foundation for communicating clearly to gain clarity and collaborate better. Plus, it naturally sharpens your ability to craft better AI prompts to get more effective outcomes.

So, Why Is Programming the Same? 💡

Learning to code isn’t just about building apps or websites. It’s about learning to think, problem-solve, and ask questions. Problem-solving is maybe one of the most valuable skills to acquire in life, and it doesn’t come by itself.

Programming teaches you to problem-solve by breaking down problems, asking the right questions, and structuring solutions logically. Developers have always needed to master asking the right questions (first through Google and now increasingly with genAI).

Build, Conceptualise, and Understand Tech Solutions with AI

A Full-Stack Development course, for example, empowers you to conceptualise and build tech products from scratch. That understanding transforms your ability to effectively interact, utilise, and leverage AI in your Tech solutions Product Development. 🚀

Process Thinking & the Bird’s-Eye View

AI is powerful, but you need a clear understanding of how systems connect and flow to build effective solutions. Developers excel at this because they see the big picture – how databases link to interfaces, how APIs connect services, and how everything fits together seamlessly.

Why Are Developers the Best AI Prompters? 🤖

Because they understand how things come together and they’ve mastered the art of asking the right questions. Otherwise, it’s garbage in and garbage out! Creation isn’t magic – it’s connecting the dots, framing problems, and structuring solutions.

And that starts with the foundations, for you can’t create something from nothing.

Check out our different courses:

Here’s more info regarding our Full-Stack Web Development & AI, Data Science & AI, Data Engineering, Data Analytics and Growth Marketing courses. As part of our course offerings, we also run AI Workshops for our alumni.

Le Wagon courses

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