Emotional technologies—the title of Illouz's forthcoming 2026 volume and the analytical category it introduces—name the class of digital platforms and AI systems whose design is organized around the extraction, elicitation, and monetization of emotional data. Social media platforms, dating apps, recommendation algorithms, AI companions, AI collaborators: all belong to this category. What distinguishes emotional technologies from earlier information technologies is the specific orientation toward feeling as the primary resource. The technology does not merely transmit information; it continuously produces emotional events whose features can be measured, aggregated, and monetized, and whose effect on the user's subsequent emotional life is part of the product.
The concept extends Illouz's framework of emotional capitalism into the domain of digital infrastructure. Where earlier analyses focused on how emotional capitalism had colonized existing institutions—corporations, therapy, dating culture—the category of emotional technologies identifies the new institutional forms that emotional capitalism has directly produced. These are not pre-existing structures that acquired emotional functions. They were built, from the ground up, as apparatuses for the production, capture, and monetization of feeling.
Applied to AI, the framework reveals what earlier technology analyses systematically missed. Critiques of surveillance capitalism focused on behavioral data; critiques of attention economies focused on cognitive capture. Illouz's framework identifies the deeper mechanism: the primary resource AI platforms extract is not attention or behavior but the user's emotional engagement, and the engagement is productive precisely because it is genuine. The builder's creative passion at midnight is not a side effect of using Claude; it is the product Claude is designed to generate, because sustained emotional engagement is the condition of continued use, continued training data, and continued commercial value.
The forthcoming Emotional Technologies (Polity Press, June 2026) promises to provide the fullest empirical and theoretical treatment of this framework. Its timing—coinciding almost exactly with the orange pill moment Segal describes—positions it as the sociological counterpart to the builder's first-person account. Where Segal reports from inside the emotional event, Illouz maps the architecture that produces the event.
The governance implications are profound and largely unexplored. If AI systems are emotional technologies in Illouz's sense, then regulating them requires frameworks that address emotional extraction, not merely informational harms. The EU AI Act, the American executive orders, the emerging frameworks in other jurisdictions address data privacy, algorithmic transparency, and safety risks—but they do not yet address the structural feature that makes these technologies what they are: their designed orientation toward the harvesting of genuine feeling as the primary resource of a new economic order.
Illouz elaborated the category in preparatory work for Emotional Technologies, drawing on fifteen years of research across dating platforms, social media, therapy apps, and AI systems. The term itself is deliberately broader than affective computing—the engineering discipline concerned with machine recognition of human emotion—because Illouz's framework includes the economic and cultural infrastructure within which affective computing is deployed.
Feeling as primary resource. The defining feature of emotional technologies is the orientation of their design toward emotional extraction, not merely attention or behavior.
Genuine engagement as product. The feelings these technologies produce are real; the realness is what makes them commercially valuable.
Beyond surveillance and attention. Existing critical frameworks miss the specific mechanism—emotional engagement as the structural condition of platform value.
Governance gap. Current AI regulation addresses informational harms but not emotional extraction; no framework yet treats emotional capitalism as a regulatory category.
The coinciding moment. Illouz's 2026 volume arrives exactly as the AI transition forces the framework's empirical urgency into public visibility.
The category faces the same critique any broad framework faces: does emotional technology name a genuinely distinctive class, or does it blur useful distinctions between, say, a therapy app and a stock trading platform? Illouz's response is that the framework's value lies precisely in what it reveals as continuous: both platforms produce emotional states, both monetize those states, and both belong to the same economic logic even when their proximate functions differ.