AI impact on workforce in finance by sub-sector 2030| ��ƽ��

Expected impact of artificial intelligence (AI) on the workforce in financial services worldwide by 2030, by sub-sector

Characteristic	Net reduction in roles overall	Net increase in roles overall	Significant re-skilling and job transformation without large net job losses	Limited or no meaningful change	Too early/unable to estimate
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Sources

Release date

April 2026

More information

Region

Worldwide

Survey time period

October 2025 to January 2026

Number of respondents

259 respondents

Supplementary notes

Data are combined from two separate figures in the source report. Overall industry figures are based on 259 respondents. Sub-sector figures are based on separate respondent pools: payments, wallets and payment systems (n=323), non-bank retail credit and lending (n=319), commercial and wholesale banking (n=328), and retail banking (n=324). The larger sub-sector bases reflect the fact that respondents could identify with multiple sub-sectors.

Citation formats

As of early 2026, views on the expected job impact of AI in financial services by 2030 were divided, with no single outcome commanding a clear majority. Across the industry overall, ** percent of respondents anticipated significant reskilling and job transformation without large net job losses, while ** percent expected a net increase in roles and ** percent projected a net reduction. A further ** percent felt it was too early to estimate. At the sub-sector level, commercial and wholesale banking was the most optimistic, with ** percent expecting a net increase in roles. The payments sector was the most pessimistic, with ** percent projecting a net reduction. Reskilling and transformation was a consistent theme across all sub-sectors, suggesting broad agreement that workforce adaptation will be necessary even where views on net job impact diverge.