KPMG International has released the "Global AI in Finance 2026" research report, surveying 1,013 senior leaders in finance and decision-making roles across 20 countries and 13 sectors from companies with annual revenues over $250 million USD. The report reveals a significant surge in AI adoption within finance functions, from 30% in 2024 to 75%, with many leaders reporting that AI meets or exceeds their Return on Investment (ROI) expectations and enhances decision-making quality. However, data quality remains a major challenge and opportunity.
AI Analysis
Frequently Asked Questions
Q: Who are the main targets of KPMG's "Global AI in Finance 2026" survey?
A: The survey targeted 1,013 senior leaders in finance and decision-making roles across 20 countries and 13 sectors from companies with annual revenues over $250 million USD.
Q: According to the survey, how has AI adoption in finance departments changed?
A: It has more than doubled, increasing from 30% in 2024 to 75%.
Q: What are the specific benefits of AI adoption for companies?
A: Significant improvements were reported in the quality of decision-making (70%), speed (71%), and predictive accuracy (64%).
Q: What is the relationship between ensuring AI reliability and its implementation effectiveness?
A: Companies that focused on AI reliability showed 3 to 6 times higher error reduction rates and greater confidence in scaling AI.
Q: What is identified as the biggest challenge and opportunity in this survey?
A: 36% of companies view data quality as both their biggest challenge and their biggest opportunity.