You have most likely heard the terms artificial intelligence (AI) and machine learning (ML). You may even have wondered what the difference actually is. Or is there even a difference? Let’s clarify that in this article.
What is AI?
Since the launch of ChatGPT, generative AI — the type of AI that creates text and images — has become almost synonymous with the term AI. This has understandably caused some confusion. AI is an umbrella term that includes technologies enabling machines to perform tasks that normally require human intelligence.
What is Machine Learning?
Machine learning is a subset of AI that focuses on learning from data. Instead of following explicit, rule-based instructions, machines can identify patterns in data and improve over time. The previously mentioned generative AI is actually a subset of machine learning — but we’ll save those details for another time.
What Is the Difference Between AI and Machine Learning?
Asking about the difference between AI and machine learning is a bit like asking about the difference between “coffee break” and a cinnamon bun. Machine learning is a subset of AI that is always trained on data, while AI can, for example, be entirely rule-based.
A Concrete Example
Let’s look at an example to make the distinction clearer.
Imagine you get into your car and start your GPS — a very simple one. You enter the address, the GPS optimizes your route, and you start driving. The GPS performs a task that would normally require human decision-making. That is AI. Now imagine upgrading to a more modern GPS. Before you even enter an address, it suggests a destination. The suggested route avoids the road that is always congested. It even asks whether you’d like to stop by your favorite bakery — something you tend to do on Saturdays. The GPS has learned from your previous driving history.
That is machine learning.
In short: AI refers to technologies that allow machines to perform tasks requiring human intelligence. When those technologies learn from data, we call it machine learning — a subset of AI.
More about AI
At the very core of our work is our passion for sharing and our constant desire to learn and develop. At Softhouse, we don’t just adapt to tech shifts—we shape them. By testing tools, listening to our developers, and sharing real findings, we’re building a future where AI and human expertise work together, every day. AI can feel overwhelming. It doesn’t have to be. Download our 5-minute AI guide and let us guide you.
