If you are in marketing, you’ve probably noticed: AI isn’t just showing up in headlines anymore it’s showing up in your tools, your campaigns and maybe even your competitors’ strategies. One area leading the change is generative AI in marketing, a powerful new partner that goes beyond analysing data to actually creating content, from text and images to video, at scale and on demand.
But here’s the thing: understanding what generative AI actually does (and what it doesn’t) is now a critical skill for marketers. This isn’t about replacing human creativity, it’s about amplifying it.
Let’s break down what generative AI is, highlight three platforms you’re probably already hearing about, and explore why this matters more than ever for anyone in marketing.
So, What Exactly Is Generative AI?
Think of generative AI as a system trained to recognise patterns in massive amounts of data and then use that knowledge to generate something. Two main technologies power it:
- Large Language Models (LLMs): These are text wizards. They’ve absorbed billions of words and can generate everything from blog posts to witty one-liners that sound remarkably human.
- Generative Adversarial Networks (GANs): These are the visual artists. One network creates an image, the other critiques it, pushing the system to produce increasingly realistic designs, photos, or video.
In short: where traditional AI tells you what’s happening, generative AI helps you create something that didn’t exist before.
