Most of us use AI every day. We prompt, generate and optimise. But few of us stop to ask: What is it we’re actually working with – and what comes next?
The debate around AI still takes up a lot of space. Yet we often only talk about a small corner of the full picture. Because AI isn’t just ChatGPT and a good ad algorithm. It’s a technology moving along a development path with three very distinct stations – and we’re already on our way.
What we have today: Narrow AI
When we talk about AI in a marketing context, we’re talking about what’s known as narrow AI. It covers systems that are extremely good at one specific type of task – and only that task.
Spotify’s recommendation algorithm is a good example. It’s remarkably skilled at suggesting music based on your listening history. But it can’t write an article. Meta’s ad algorithm can optimise your campaigns with a precision no human can match – but it can’t predict the stock market. ChatGPT can generate top-tier text, but it doesn’t drive self-driving cars.
That’s the essence of it. Narrow AI is a specialist. Enormously capable within its field – but useless outside of it.
Today, we use narrow AI for most of our digital marketing work: content creation, data analysis, ad optimisation, customer segmentation, chatbots and email marketing. And it works really well. But there’s one important limitation worth keeping in mind: the AI does what you ask it to. It doesn’t take initiative on its own, doesn’t combine knowledge across domains, and doesn’t understand context you haven’t told it about.
It’s still humans who hold the wheel.
The next step: AGI
AGI – Artificial General Intelligence – is something fundamentally different.
Where narrow AI is a specialist, AGI is a generalist. It can think, learn and act across all types of tasks – just like a human. It can read a marketing report, compose music for a campaign based on that report, code the accompanying website and prepare a strategic business plan for the sales team. All of this without needing to be retrained.
What sets AGI apart from what we know?
- The ability to generalise knowledge across domains
- The ability to learn independently without constant human input
- A genuine understanding of context – nuance, irony, cultural references
- The ability to solve problems it has never encountered before
What does AGI mean for marketing?
Imagine an AI that can independently analyse an entire market and its competitors, develop a complete marketing strategy, produce all content, run and optimise all campaigns – and continuously adjust based on results. With minimal human supervision.
That’s not automation of individual tasks. That’s strategic thinking, creativity and human understanding – all in one system.
The timeline is debated, but in recent years the tone has shifted among some of the biggest names in tech. Some believe we’re standing at the threshold, while others think we’re still decades away.
What is certain is that the direction is clear – and the pace is faster than most expected.
The long run: ASI
And then there’s the third level: ASI – Artificial Superintelligence.
ASI is AI that doesn’t just match human intelligence. It surpasses it massively, across all domains.
An ASI would potentially be smarter than the most brilliant researcher, more creative than the best artist and better at strategy than the most capable business minds. The defining characteristic – what sets ASI apart from AGI – is self-improvement. An ASI can rewrite its own code, make itself smarter, which in turn makes it smarter again, in an exponential spiral.
ASI doesn’t exist yet. It’s still theoretical. Some researchers believe it could be a reality in the 2030s, others point to 2050 or later – and some think it will never happen.
Yet it’s openly discussed in the tech world. OpenAI has itself acknowledged that it doesn’t know how to reliably control superintelligent systems. That’s not panic – but it is serious material.
The timeline, assembled
If you were to draw a rough map of AI’s journey, it would look something like this:
Today – 2026: We’re working with advanced narrow AI – powerful specialist systems, but we hold the wheel ourselves.
2026 – 2030: The first forms of AGI begin to take shape. Marketing AI becomes significantly more autonomous. Certain administrative functions change fundamentally.
2030 – 2040: AGI matures. Fundamental changes in the labour market. Possibly the first early versions of ASI.
2040+: ASI potentially becomes reality. Everything we know about societal structures, economies and working life could look entirely different.
It’s speculation – but informed speculation, based on a pace of development no one believed possible five years ago.
So… what now?
The practical question is, of course: What are marketers supposed to do with this knowledge?
Three things are worth taking away. First, get really good at using the tools available right now. Narrow AI is enormously powerful, but it requires you to be sharp at asking the right questions and setting the right parameters. That skill will only become more important.
Second, start thinking about which parts of your work require genuine human insight. Creativity, empathy, cultural understanding, strategic intuition – these are the qualities that remain relevant no matter how far AI development reaches.
And third, keep up. Not to stay informed in an academic sense, but because the decisions about how we use these technologies are increasingly shaping our profession directly.
The future is happening continuously
We find ourselves in the middle of a technological acceleration with no historical precedent. What was science fiction five years ago is everyday life today. What feels futuristic today will likely be reality within a few years.
For those of us who work in marketing, it’s a fascinating position to be in. We’re close to the technology, close to the people – and right in between. That position isn’t a challenge. It’s an advantage. But only if we understand the game we’re part of.
The future isn’t something that arrives. It’s something that happens – continuously, quickly and right now.
