AI Revolutionizes Finance, Raising Privacy and Efficiency Questions

Artificial intelligence is fundamentally altering how people think, work, and make decisions, with significant impacts expected in finance and insurance. These sectors anticipate AI-driven revolutions that will enhance customer experiences while boosting company profits and revenues. During a panel at the "Calcalist Investments Week," experts discussed the implications of AI reliance in major financial institutions.

The blurring line between necessary customer data for informed business decisions and privacy intrusion was a key concern. Ilana Navon Adasman, Head of Insurance and Fintech at KPMG Israel, stated that regulators must define this boundary. She noted that while Europe has enacted specific AI consumer protection laws, Israel relies on its existing privacy laws, which she believes are adequate for AI. Navon Adasman also highlighted the inherent risks of AI but pointed to fintech companies developing solutions to protect insurance firms from breaches. She anticipates future AI agents on the customer side will necessitate more fintech companies to ensure security for both consumers and organizations.

Uri Grinbaum, CEO and Founder of TipRanks, addressed concerns about AI diminishing competitive advantage if widely adopted. He compared this to the introduction of TipRanks, where it was initially feared that knowing the best analysts would equalize performance. Grinbaum argued that the investment world, with millions of individuals having diverse risk preferences and goals, will continue to see varied decisions, unaffected by AI. He described the current era as historically significant, making markets more efficient as banks, investment houses, and consumers undergo a streamlining process. Grinbaum believes AI will support investment decisions but ultimately, investors bear responsibility for their choices. He foresees a renaissance for brokers and investment houses due to a projected significant increase in global stock market trading volume, citing the evolving needs of clients like a US dentist who now prefers natural language interaction for investment strategy building over traditional methods.

Navon Adasman observed a rise in self-directed trading in Israel, particularly among younger individuals, driven by AI's influence. She noted significant AI adoption in the US and East Asia, with Israel showing a more mixed approach. Insurance companies are primarily using AI for automation, though manual processes persist. While tech companies currently subsidize AI token costs, this is expected to cease, impacting long-term ROI for insurance firms. She cited claims processing as an example, moving from automated adjusters to more advanced AI, predicting proactive compensation, such as for flight delays, without requiring a customer claim.