ChatGPT Pro Gives £20,000 Savings Advice as 25% of UK Consumers Trust AI on Money
Updated
Updated · TechRadar · Jul 21
ChatGPT Pro Gives £20,000 Savings Advice as 25% of UK Consumers Trust AI on Money
1 articles · Updated · TechRadar · Jul 21
Summary
A TechRadar experiment found ChatGPT Pro quickly moved from framing money problems to specific recommendations on a £1,200 phone purchase, £20,000 in savings and a £2,000 holiday.
Those answers often sounded thoughtful and practical, but they arrived before the chatbot knew key facts such as debt costs, housing status, dependants or risk tolerance.
The test also showed ChatGPT drifting beyond finance into emotional reassurance and decision coaching, blurring lines between roles that human advisers, therapists and coaches face different standards for.
The FCA review says more than a quarter of UK consumers trust AI chatbots for money advice, sharpening concern that unregulated tools can deliver persuasive guidance without suitability checks or clear accountability.
The broader risk is not obviously bad advice but plausible, confident answers that stop users from seeking qualified help when their financial situation needs a regulated professional.
A quarter of Britons trust AI with their money. Is this solving an advice crisis or creating a new one?
Regulators are now drafting rules. But can they effectively police global AI before consumers get financially burned?
Widespread AI Adoption in UK Finance (65% in 2025): Consumer Trust, Risks, and Regulatory Gaps
Overview
The financial services industry has quickly made artificial intelligence (AI) a core part of its operations, with 65% of institutions using AI by 2025 and capital markets firms leading at 68%. The rise of Generative AI has lowered technical barriers, pushing adoption even higher and driving significant investment, with spending surpassing $75 billion in 2026. This rapid integration has led to a surge in AI-powered financial advice tools, raising new questions about consumer trust, regulatory protection, and the need for updated frameworks to ensure safe and reliable guidance for users.