Banks Bet Big on AI as Spending Nears $97 Billion by 2027

Banks are investing heavily in AI, with global spending in financial services expected to hit US$97 billion by 2027. The technology is already transforming areas like fraud detection, customer service, and lending. Yet, fragmented data across core systems remains a key challenge for wider adoption. AI is now a standard tool in banking operations. Around 90% of banks use it to detect fraud, with systems achieving accuracy rates of 90% to 99%. In lending, AI-driven models improve default prediction by 15% to 25% and can cut loan losses by up to 30%.

Customer service has also seen changes. AI handles routine account queries and tailors services to individual needs. But for these initiatives to succeed, strong data infrastructure is essential. Responsible AI governance is another priority. Banks must maintain clear audit trails and ensure models do not introduce bias. Without proper data integration across platforms, scaling AI solutions becomes difficult.

The push for AI in banking continues, backed by rising investment and proven results in fraud prevention and lending. However, progress depends on overcoming data fragmentation and maintaining strict governance. As adoption grows, the focus will remain on accuracy, fairness, and system reliability.