{
  "id": 2189,
  "url": "https://www.frontiersin.org/articles/10.3389/frai.2026.1854196",
  "title": "Assessing the utility of advanced adoption models for AI-based financial services: insights into automated and hybrid robo-advisors",
  "summary": "IntroductionFinancial robo-advisors (FRAs), based on artificial intelligence (AI), are changing the ways people make investment decisions by providing advisory services that are based on algorithms and have different degrees of automation. But little evidence exists on the appropriateness of existing technology adoption theories to explain investor adoption of such systems. The present study investigates the explanatory and predictive power of three established and distinct adoption models for A",
  "authors": "Balraj Verma",
  "category": "research",
  "topics": "jobs-economy,finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-14T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:11:46.979Z",
  "source_slug": "x-frontiers-in-artificial-intelligence",
  "source_name": "Frontiers in Artificial Intelligence",
  "source_homepage": "https://www.frontiersin.org/journals/artificial-intelligence",
  "ethics_ai_record_url": "https://ethics.ai/record/2189",
  "original_url": "https://www.frontiersin.org/articles/10.3389/frai.2026.1854196",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}