PwC: Reducing risk losses is one of the main returns on investment that AI brings to financial institutions

NightAirdropper · 2026-03-20T14:40:03+00:00

PwC report shows that financial institutions leverage AI to enhance customer service, risk detection, and predictive analytics. Different institutions have different focal points in AI applications—asset management focuses on investment and market analysis, banks emphasize risk management, and insurance companies concentrate on customer service. AI's return on investment primarily comes from risk reduction, revenue growth, and cost reduction, but talent shortages and organizational structure issues limit its adoption.

NightAirdropper

2026-03-20 14:40:03

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Bloomberg, March 18 — According to The Paper, one of the Big Four accounting firms, PwC has released a report stating that the core applications of AI in financial institutions now cover areas such as customer service optimization, fraud risk detection, and predictive analytics. “Different financial institutions focus on different AI deployment applications,” PwC noted. “In asset and wealth management, AI is used for investment and portfolio management, data and market analysis. Banks mainly focus on risk control, anti-money laundering, and compliance tasks, while insurance companies emphasize agent skill enhancement, customer service, and claims processing.” PwC further pointed out that overall, the main sources of AI-driven investment returns for financial institutions are threefold: reducing risk losses, increasing revenue, and cutting costs. However, PwC emphasized that large-scale AI adoption in finance still faces multiple constraints. Talent shortages and organizational structure issues are the core obstacles, with their impact far exceeding budget or technical challenges.

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