Demand for financial guidance drives adoption
More than a third (37%) of respondents globally say they would find it “very” or “extremely” helpful for AI to provide personalized financial advice based on their data and preferences, or to automate claims, and financial decision-making processes.
Taking it one step further, over the last six months, 14% of respondents say they have allowed AI to select financial services providers on their behalf, while 11% say they have deferred to AI to manage their finances with little or no human intervention.
scale innovation safely and gain a real competitive advantage in a market that is still maturing."
Răzvan Pîrnac, Partner, Financial Services Risk Management, EY Romania: “Romania reflects the same shift highlighted in recent EY research, where artificial intelligence is moving from experimentation into everyday financial decisions, but with strong local contrasts. We already have a modern financial infrastructure, with over 26 million active bank cards, according to the National Bank of Romania, yet only around one third of Romanians use internet banking services, based on Eurostat data. At the same time, various recent studies show that nearly 7 in 10 Romanians are already using AI in their daily lives, which mirrors the global trend identified by EY of consumers turning to AI for guidance and decision-making. However, fewer than 20% use AI on a regular basis, and less than 6% of companies have integrated it in a structured way, underlining a key challenge for Romania: turning growing familiarity with AI into trusted, well governed and genuinely useful adoption, especially in areas like finance, where confidence and transparency matter most.”
Adoption varies by age, education, and employment
While AI adoption in financial services is growing overall, the survey reveals significant variation across demographic groups. Usage, perceived usefulness, and confidence are highest among younger consumers, those with university degrees, and people in full-time employment.
Gen Z respondents (aged 14-29) show the highest overall adoption, with 68% using AI for some aspect of financial management, followed by millennial respondents (aged 30-45) at 65%.
However, millennial respondents are found to be the most likely to use AI for financial product recommendations (31%), followed closely by Gen Z respondents at 30%, then Gen X respondents (those aged 46-61) at 18%, and baby boomer respondents (those aged 62-80) at 10%.
Millennial respondents are also most likely to use AI to support them in higher stakes use cases, including for fraud detection (where 37% of consumers said they use AI), financial advice (43%) and claims automation (41%). This compares with lower levels among Gen Z respondents, where 12% of consumers said they use AI for fraud detection and 14% for both financial advice and claims automation. Among Gen X respondents, 27% say they use AI across all three use cases; and among baby boomer respondents it is 22%, 15% and 17% respectively.
Education and employment shape confidence in AI
Higher levels of formal education and full-time employment status correlate strongly with greater confidence in AI.
Around half of consumers surveyed with an undergraduate university degree view AI as “very” or “extremely” helpful for fraud detection (50%), financial advice (52%), and claims automation (51%). This compares with lower levels among those with a high school education, where only 28% of respondents use AI for fraud detection, 25% for financial advice and claims automation.
The survey data finds that 28% of full-time worker respondents globally use AI to recommend financial products, compared with 23% of student respondents and 7% of retiree respondents.