{
  "id": 7636,
  "url": "https://arxiv.org/abs/2603.05614v1",
  "title": "Real-Time AI Service Economy: A Framework for Agentic Computing Across the Continuum",
  "summary": "Real-time AI services increasingly operate across the device-edge-cloud continuum, where autonomous AI agents generate latency-sensitive workloads, orchestrate multi-stage processing pipelines, and compete for shared resources under policy and governance constraints. This article shows that the structure of service-dependency graphs, modelled as DAGs whose nodes represent compute stages and whose edges encode execution ordering, is a primary determinant of whether decentralised, price-based reso",
  "authors": "Lauri Lovén, Alaa Saleh, Reza Farahani, Ilir Murturi, Miguel Bordallo López, Praveen Kumar Donta et al.",
  "category": "research",
  "topics": "regulation,jobs-economy,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-03-05T19:14:54.000Z",
  "fetched_at": "2026-07-14T16:33:21.051Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/7636",
  "original_url": "https://arxiv.org/abs/2603.05614v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}