For two decades, we have spoken of the “attention economy”. Platforms competed to capture our attention, maximise engagement and monetise distraction.
We are now entering a more subtle phase.
Emerging research describes what is increasingly called the intention economy: a technological environment in which artificial i not merely react to our behaviour but anticipates, shapes and commercialises our future decisions. Predictive systems learn to identify emerging preferences before they are consciously articulated. Desire becomes data. Intention becomes an asset.
The shift is significant.
Attention concerns what we look at.
Intention concerns what we choose.
In educational contexts, the implications are profound. Students are not fully formed consumers; they are individuals in the process of constructing values and direction. An ecosystem that places economic value on anticipating and influencing its emerging intentions introduces a new layer of vulnerability.
Teaching digital skills is therefore no longer sufficient. Competence in using tools does not guarantee autonomy in forming desires.
The more pressing question is both meta-cognitive and ethical:
How do I decide what I want?
How do I recognise when my preferences are being nudged or pre-shaped?
How do I distinguish between authentic aspiration and algorithmically amplified impulse?
These are not technical questions. They are anthropological.
Education must create deliberate spaces for reflection on the architecture of digital environments. Not merely how platforms function, but how they shape perception, preference formation and self-understanding. Students need conceptual tools to interpret influence, not merely to navigate interfaces.
This reframes the educator’s role.
In the intention economy, teachers are not only transmitters of knowledge or facilitators of skills. They are agents of empowerment, responsible for helping students cultivate reflective will — the capacity to pause, examine motives, and decide deliberately rather than react predictably.
Algorithmic systems segment, predict and optimise.
Education must form people capable of resisting automaticity.
If the attention economy risked distraction, the intention economy risks something deeper: the gradual outsourcing of desire.
Education cannot remain peripheral to this transformation.
Its task is not merely to prepare students for a digital world but to ensure they remain sovereign within it — capable of taking their intentions seriously rather than allowing them to be silently shaped.