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2026 Industry Survey

The Hidden Workload Behind AI Productivity

We surveyed nearly 200 executives, finance leaders, and operations professionals at U.S. small and mid-sized businesses to understand what AI is really saving finance teams—and what it's quietly adding back.

AI is already delivering early gains in finance, with 81% saying it has saved them meaningful time. Underlying issues are capping that value: 70% say AI added responsibilities without removing existing ones, and 72% would get more value if their financial data sat in one system.

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What's capping AI's gains in finance

Across roles and company sizes, respondents pointed to the work created around AI rather than problems with AI itself.

  • Financial data is spread across disconnected systems
  • AI outputs need correcting before teams can use them
  • Security concerns add governance and policy work
  • Adoption pressure outpaces what teams are ready for

These issues keep AI's time savings from turning into lasting capacity for finance teams.

Key findings from the 2026 survey

Findings are based on responses from 197 executives, finance leaders, finance team members, and operations & IT professionals (July–August 2026).

Productivity

Time saved vs. time added

AI is saving finance teams meaningful time, but it is also creating new work that offsets part of those gains.

81%

say AI tools have saved them meaningful time

70%

say AI has added new responsibilities without removing existing ones

32% say their overall workload has increased.

Confidence

Outputs still need checking

AI can produce an answer quickly, but finance teams remain responsible for whether that answer can be trusted.

54%

often have to correct AI-generated outputs before they can be used

45%

spend time cleaning up data just to make AI tools usable

Foundation

Fragmented financial data

AI can only work with the information it can reach, and teams need to know that information is accurate.

72%

would get more value from AI if financial data were in one system

  • 82% of finance team members agree — the highest of any role
  • 48% are concerned AI is pulling from the wrong data sources
Security

Governance and access work

Giving AI more business context means deciding how much sensitive financial information it should be allowed to reach.

66%

say financial data security concerns have created additional governance and policy work

  • 74% of finance leaders report that added governance work
Execution

Priority outpaces readiness

Companies are pushing AI forward while teams are still building the infrastructure to support it.

  • 72% say AI in finance is a top priority for their organization
  • 42% say their company is under pressure to adopt AI faster than it's ready for — rising to 52% among operations & IT
Perspective

Executives vs. finance teams

The people closest to the workflows report a different experience than the leaders investing in the tools.

77%

of executives say AI has freed up time for higher-value work, compared with 61% of finance team members

46%

of finance team members say AI has not delivered the productivity gains they expected, compared with 28% of executives

Source: Accounting Seed 2026 AI Productivity in Finance Survey (July 21–August 10, 2026, n=197).

What this means for finance teams

AI's productivity gains in finance aren't limited because the tools underdeliver. They're limited by the work that surrounds them: preparing data, verifying outputs, and managing access across disconnected systems.

Organizations that unify financial data, connect systems, and apply consistent controls are far more likely to turn AI's early time savings into lasting finance capacity.

Ready to see where your team stands?

Download the full report for all six findings, role-by-role breakdowns, and practical guidance on building the data foundation AI productivity requires.

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Survey details

This survey was conducted between July 21 and August 10, 2026, and included 197 professionals at U.S. small and mid-sized businesses. Respondents included CEOs, business owners, CFOs, controllers, finance directors and managers, accountants, operations professionals, and IT/Salesforce administrators.