Consumers exhibit a significant trust deficit in autonomous AI for financial decisions, despite growing interest in AI-enabled finance tools. Research highlights privacy, security, and control as primary concerns hindering adoption. Financial institutions can bridge this gap by prioritizing trust, engineering robust data security upfront, and enabling AI to maximize customer utility without removing human oversight. Personalization should focus on individual life stages rather than broad segments. Consumers desire AI to streamline tasks and offer timely insights, such as fraud detection or budgeting help, but insist on retaining final decision-making authority and access to human support. The future of AI in finance lies in legible, permissioned, and human-accountable systems that make every exchange understandable and secure. Click here to read the full-text article