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Extensive delegation of productive and intellectual activities to artificial intelligence may reconfigure the conditions under which people encounter tasks, develop purposes, and interpret their participation. This paper investigates existential self-perception through the distinction between external outcomes and the relational histories of their production and experience. It differentiates ontological existence, prereflective ownership, experienced agency, narrative continuity, interpersonal recognition, and institutional standing. Its central proposition concerns the distribution of experiential participation: AI mediation can alter access to intermediate decisions, resistance, feedback, and revision, even when the resulting output remains comparable. The analysis extends this proposition to the development of purposes, ecological and aesthetic encounters, absorbed attention, and the temporal organization of habits and recollection. It proposes conditional tests of the relational-feedback account while considering output quality, novelty, task demands, and material conditions as competing influences. Meaningful participation can occur with reduced explicit self-monitoring, while the significance of an episode may develop through subsequent relationships and reflection. A complementary research program proposes episode-level elicitation, bounded comparisons of delegation, longitudinal observations, and studies of shared environments. These designs distinguish experiential reports, observable activity histories, and institutional conditions, enabling investigation of how different arrangements of delegation shape opportunities for participation. The post-labor counterfactual provides a setting for examining diverse experiences and forms of self-understanding amid changes in productive necessity.
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Wanhong HUANG (2026) studied this question.
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