From Doomscrolling to the Eternal Conversation: The Hidden Power Shift in the Attention Economy

We live in an age where online time is no longer measured by how long we spend looking at our screen or the number page views, but by our conversations. Conversational chatbots, multimodal language models and advanced AI assistants are changing the nature of digital interaction.

Instead of scrolling, destroying our brain cells by consuming inane content interspersed with ads, we now have interfaces that talk to us. It’s no longer about who captures the most clicks, but who best retains our attention, the most valuable of digital currencies.

Over the past decade, platforms learned that our scrolling, responses and instant preferences fueled the attention economy. Every like, every second counted, every share was transformed into data, algorithm and business, helped by some shady terms and conditions that they said we had read, understood and accepted. Now that model is mutating.

Conversational assistants, adaptive environments and generative AI make interaction longer, more immersive, and, most dangerously, more personal. It is no longer just about taking a look, but about generating dialogue, holding conversation and turning our curiosity into persistence. From this perspective, the main metric is no longer the visit, it’s how long you talk to the machine, how many times you come back, how much you trust the algorithm.

This technological shift has profound and potentially very dangerous implications. First, because the interface, the conversation, is more human, closer and therefore more capable of generating dependence. Second, because conversation requires context, memory and follow-up: the chatbot knows what you said yesterday, what you asked last week, and adapts accordingly. This multiplies its value for the user and the platform, as it turns attention into a more lasting asset. And third, because the conversation is two-way and personalized: you are not just a spectator, you are an interlocutor, a user with a name, history and expectations. That represents a different relationship logic: you don’t visit a feed, you converse with a system that learns everything from you.

The industry has already grasped this: the next frontier of attention is not in doom scrolling, but in the eternal conversation. And the problem is that this prolonged conversation requires a new business model, another type of infrastructure and, above all, another way of understanding the user. For companies, this means that capturing attention is no longer enough: it must be retained, turned into a habit, into trust, into daily dialogue. And that’s where the risk lies: when a smart assistant becomes part of your routine, part of your automatic thinking, it ceases to be optional and begins to be a conditioning factor.

This conditioning poses infinite ethical and social challenges that go beyond advertising. Because when the digital conversation is 24/7, the machine ceases to be a tool, and instead becomes a companion, a confidant, even an advisor. Who defines the limits of that conversation? Does it become a filter of information, an interlocutor of action or an agent of influence? The academic literature already speaks of the intention economy, where it’s not just our attention that’s being traded, it’s our decisions, our ways of imagining the world. The conversational AI machinery is prepared not only to respond to what you want, but to anticipate what it thinks you want.

For European societies, this implies an extra urgency. Europe has been more cautious in digitalization, more critical of the platform model, more attentive to the individual and privacy. But that approach has to change if the new game is based on the awareness (and retention) of the conversation.

It is no longer enough to regulate, investigate or protect data: it is a matter of building credible, transparent, decentralized, competitive conversational artificial intelligence ecosystems that are not trapped in the logics of the great monopoly of attention. Because if our digital conversation ends up locked in a single ecosystem, dependency will no longer be functional but structural.

The question we need to ask ourselves is not “how much we use AI, but how we use it. And when the conversation with the machine is designed to retain our attention, to change our intention, the user is no longer in control and the interlocutor becomes the protagonist. And that has consequences: in cognition, in the way we think, in what we decide, in what we ignore.

The battle for our attention is no longer about pop-ups or banners. It’s now about chats, responses, silent promises of constant help. This means the European strategy cannot be limited to demanding transparency or competition: it must anticipate a fair, plural and open digital conversation. It must ask itself what value we attach to our attention, how we protect it, and who we share it with.

In short, retaining attention is no longer just about making a click profitable: it is about transforming a moment of silence into a directed conversation, a conversation with bias, a conversation that prepares us for what comes next. If we don’t want the new digital wave to turn us into peripherals of a gigantic conversation managed by others, we will have to redefine not only technology, but also our position in it.

(En español, aquí)

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This post was previously published on MEDIUM.COM.

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