Most American workers expect AI to shrink the job market over the next two decades, but finance executives see a different future for their own teams: one defined by productivity gains rather than headcount reductions.
A June Gallup poll found that 71% of U.S. adults believe AI will lead to fewer jobs over the next 20 years, up seven percentage points from 2024. Only 5% said AI would create more jobs.
Yet the technology has not produced "consistent reductions in overall workforce size," according to a recent report from analytics firm Gartner. The impact varies by function, the report said, and in some cases AI has increased demand for higher-skilled roles.
CFO Dive asked finance executives in an informal LinkedIn poll what they see as AI's biggest workforce impact at their companies. Of 26 respondents, 54% cited higher employee productivity as the top effect. Another 19% said AI would create new roles, 15% said it would cut existing roles, and 12% said fewer employees would be needed.
Reskilling over replacing
Many companies believe AI will improve productivity and increase output, said Andy Challenger, chief revenue officer at outplacement firm Challenger, Gray & Christmas. Some organizations are using the technology to realign their workforces, with certain positions being replaced by AI tools, but most are deploying it to assist workers rather than replace them.
"We're hearing a lot about reskilling and retraining workers to use AI tools to become productive," Challenger said.
Early predictions of widespread AI-driven job losses have not come to fruition, according to a July 2026 policy report from Stanford University. Major tech leaders have softened their rhetoric about massive layoffs, and companies have shifted their AI strategies after discovering the technology could not fully replace human workers, Challenger said.
Ford rehired hundreds of veteran engineers and inspectors after its AI-powered quality control systems underperformed, according to a BBC report. Block, the financial services company, also rehired some employees shortly after laying off much of its workforce in February as part of its AI strategy, Business Insider reported.
Finance leaders exploring how AI fits into their operations may benefit from structured guidance. Resources like an AI Learning Path for CFOs can help executives assess where the technology adds value without overstating its capabilities.
A shrinking workforce
U.S. businesses may actually need AI to substitute for a workforce shrinking as Baby Boomers retire, CFO Dive previously reported. That demographic shift gives companies a reason to adopt AI tools even as workers remain wary.
"What we know is that this is a transformational technology, and workers will be served well if they actively investigate how they can use it in their work," Challenger said.
Why this matters for finance professionals
The gap between public anxiety and executive experience suggests finance teams should prepare for AI to change how work gets done - not whether it gets done. The practical takeaway: invest in learning how AI tools apply to your specific function, whether that's forecasting, reporting, or risk analysis. Professionals who build AI skills for finance position themselves for the reskilling wave that employers are already describing, rather than waiting to see whether their role survives it.
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