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Would you trust AI to choose your next loan?

Many Malaysians are willing to depend on artificial intelligence to compare credit options - but concerns remain over fraud and fake offers.

Would you trust AI to choose your next loan?

Artificial intelligence may streamline the process of choosing a loan by offering quick explanations of figures and repayment options, but financial decisions require human judgment and consideration of the customer's broader circumstances. A recent study reveals that 76% of Malaysian respondents trust AI to provide accurate information when comparing loans.

Despite this trust, only 57% of Malaysians would allow AI to have some level of autonomy in applying for a loan or credit card, suggesting a cautious approach to AI's decision-making capabilities. The main appeal of AI in this context is the potential to save both time and money, with 92% of Malaysians believing AI could help them find better loan rates and 63% comfortable sharing their financial data with AI for automated applications.

Across the broader study, 85% of respondents felt AI could compare more loan options than they could manually, while 83% thought AI could help avoid overlooking important details such as hidden fees or contract terms. However, trust in AI is not universal. Five out of six Malaysian respondents remain skeptical about granting AI extensive independence.

Two-thirds are concerned about fraudulent activities, such as manipulated offers or impersonation by cybercriminals, with this being the highest level of concern recorded across the 13 markets surveyed. Financial institutions will need to bolster identity verification, consent mechanisms, and fraud prevention measures to gain consumer confidence in AI-assisted financial services.

While AI can efficiently compare loan options, it should not assume full decision-making power. Borrowers should continue to be involved in the process, particularly when decisions carry long-term financial implications.

Written by urgent.news from Free Malaysia Today's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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