Finance Leaders Cited Talent Gaps as Top Threat

A new industry survey revealed that senior executives struggle with manual data work and technical talent shortages.

Updated on Oct. 10, 2026 in Finance — General

Isometric editorial illustration of heavy, interlocking steel blocks representing fragmented financial systems. — The Financial Education & Research Foundation reports that 50% of finance executives identify talent and skill shortages as the primary threat to their operations. AI Illustration. Upload story photo >

Live Poll

Do you trust that new technology tools in your workplace reduce your manual workload?

The Financial Education & Research Foundation released its 2026 Finance Architecture Survey, showing that 50% of executives view the talent and skills gap as their function's greatest threat. Many senior staff report spending half their week manually correcting data between incompatible systems.

Why it matters

Finance departments are currently held together by manual labor, which prevents leaders from addressing underlying data issues. This reliance on manual intervention leaves organizations unable to effectively scale their operations or implement digital transformation.

Thirty-six percent of finance organizations report high levels of manual intervention, with senior managers dedicating up to 50% of their time to bridging incompatible systems. Furthermore, 40% of firms still conduct a monthly financial close lasting seven days or longer.

The players

Financial Education & Research Foundation

This is an organization that conducts research and analysis on the evolving practices within the finance and accounting sectors.

The details

Nearly 40% of organizations now deploy artificial intelligence tools without any formal framework to measure their performance impact. Despite this, over half of all surveyed organizations intend to allocate significant technology budgets to AI initiatives over the next 24 months.

The survey was released on October 9, 2026.
Organizations are preparing to execute transformation plans throughout 2027.

Market Dynamics

This data follows the pattern set by the 2026 Finance Architecture Survey's findings on manual data intervention, which reveals a structural lag in corporate digital maturity. The findings indicate that while AI adoption is accelerating, the underlying technical debt remains a significant barrier to modernizing financial operations.

For investors and stakeholders, these findings suggest that many firms face operational headwinds that could hinder long-term profitability. Companies failing to invest in upskilling or formal AI frameworks may struggle to remain competitive compared to leaner, more automated peers.

The takeaway

Financial leaders should prioritize formalizing impact measurement frameworks before scaling new AI tools to ensure genuine efficiency gains. Investing in staff upskilling is essential to moving beyond the current cycle of manual data management.