Priority #1: Optimize the Workforce for the AI Era
As AI adoption accelerates across all three sectors, organizations are rethinking how work is structured and where it’s done. The end goal is to align job roles, spans (the number of employees reporting to a manger), layers (the number of management tiers) and location footprint with business priorities to be most efficient and effective.
Spotlight on Financial Services Companies
This trend is having an outsize impact on financial services firms, which are experiencing significant transformation pressure. “Since many financial services roles are highly technical and analytical, the industry is experiencing meaningful transformation driven by AI,” explains Chris Tanana, Partner and Financial Services Sector Lead in Aon’s Talent Solutions team in North America. “Forward-looking firms are not only equipping employees with AI tools but are also establishing dedicated leadership roles — such as chief AI officers — to guide adoption and governance.”
Due to organizational disruption and change, tracking voluntary and involuntary turnover are key metrics. Over the past three years, overall turnover has decreased from 18.5% in 2022 to 15.5% in 2025. However, this downward trend masks a rise in involuntary turnover tied to restructuring, automation and consolidation. Global involuntary turnover is 4.9% compared to 3.5% in 2022.
As financial firms focus on cost management, they are reassessing their total rewards strategies and shifting more work to lower-cost countries across the EMEA and APAC regions. Aon’s data finds a 4% increase in hiring at low-cost locations globally and a 2% decline in hiring at high‑ and medium‑cost markets. “Financial organizations are still evaluating how AI specialist roles and broader AI integration will influence compensation across the firm,” says Tanana.