AI maturity in financial services by type of AI 2030| ��ƽ��

Artificial intelligence (AI) maturity in financial services worldwide in 2026, with a forecast for 2030, by type

Characteristic	Achieved today	Expected by 2030
Data and predictive analytics	53%	35%
Generative AI	47%	39%
Classical machine learning	46%	37%
Agentic AI	24%	57%
Artificial General Intelligence (AGI)	6%	38%
Artificial Super Intelligence (ASI)	2%	26%

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Release date

April 2026

More information

Region

Worldwide

Survey time period

October 2025 to January 2026

Number of respondents

602 respondents

Supplementary notes

The source adds the following information: Figures reflect the aggregate view of all 602 survey participants, comprising industry respondents (340), AI vendors (140), and regulators (122).

Regulators refers to financial regulators, supervisory authorities, and central banks with mandates spanning prudential regulation, securities oversight, payments supervision, consumer protection, and financial stability. Traditional financial institutions refers to firms operating across banking, insurance, payments, capital markets, digital assets, and other financial services sectors.

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Among major AI technology categories, generative AI showed the smallest gap between current and expected adoption in financial services as of early 2026, with 47 percent already active and a further 39 percent expecting to reach that stage by 2030. Agentic AI presented the starkest contrast: only 24 percent had achieved active adoption, yet 57 percent more anticipated doing so by 2030 - the largest projected jump of any category. On the more speculative end, six percent of respondents reported Artificial General Intelligence (AGI - AI capable of performing any intellectual task a human can) as already achieved, with 38 percent expecting it by 2030. Figures for Artificial Super Intelligence (ASI - AI surpassing human intelligence across all domains) were lower, at two percent and 26 percent respectively.