Testing AI agents in finance reveals how incentives and context can distort reporting, forecasts, and decision-making — and highlights the need for effective controls.
Choosing an AI tool is about more than model rankings, requiring finance leaders to balance AI governance, workflow integration, data access, and risk.
The use of automation and AI for traditional entry-level finance work means graduates, new hires, and companies must shift traditional career path expectations.
