Financial services leaders are hesitant to implement artificial intelligence (AI) amid concerns that its impact is outweighing the benefits of productivity gains and cost cuts, according to European fintech executives.
AI has the potential to revolutionise the industry, but big banks have been slow to adopt these technologies compared to fintech companies. Only 6 per cent of retail banks are prepared to implement AI at scale across their business, a Capgemini study found.
Central banks have been urged to enhance their AI capabilities by the Bank for International Settlements, which recognises both productivity gains and risks associated with AI, such as misinformation and hacking. Large language models, the core to most generative AI models often generate inaccuracies, raising concerns about the technology handling sensitive information.
“There’s not necessarily a rejection of AI, but there is hesitancy”, said Wincie Wong, head of digital at NatWest, who called for the technology’s risks, ethics and vulnerabilities to be assessed.
Anssi Ruokonen, Director of AI Research and Enablement at Basware, said: “For financial services to adopt AI safely, industry and regulators should be collaborating on best practices and standards for AI implementation. Ideally, solutions should be sandboxed before being rolled out, but it is important that industry recognise that vulnerabilities do exist and not all solutions can be tested beforehand. Therefore, AI systems should be built with continuous business monitoring and investment, alongside clear audit trails, to mitigate risks, especially within finance departments.”
“To oversee the rollout of AI systems across the industry, enterprises could consider having a Chief AI Ethics Officer. With this, use cases can be measured from concept to implementation, with more robust testing, to evaluate risks. AI has an important role to play in streamlining outdated manual processes, so it’s up to industry to reach a state of confidence where they can adopt AI safely.”
AI’s ability to quickly analyse large volumes of text and numerical data can significantly reduce industry costs, yet job loss fears and regulatory concerns are among the factors preventing bankers from fully embracing the systems.
Customer service is one of the areas most impacted by AI tools, which talk to consumers and respond to queries.
Many banks and fintechs, including Klarna and NatWest are already leveraging AI chatbots. NatWest’s AI service Cora handled over 11 million chats in a year more than half needing no human intervention, a drastic increase from 1,000 per month in 2017.
Klarna reported its AI assistant could replace 700 customer service workers, resolving queries faster and saving $40 million annually.
