The most recent national measurement of household money skills reveals a worrying trend: overall financial literacy among U.S. adults has declined to its lowest point since tracking began. Respondents in the 2026 P-Fin Index answered less than half of the test questions correctly, and several demographic groups — notably younger adults — fell behind older cohorts. At the same time, an emerging reliance on artificial intelligence tools for financial answers adds a new dimension to the discussion about where people get guidance and how reliable it is.
This article unpacks the core results, highlights which areas of money knowledge weakened most, and explores the practical consequences for household resilience and retirement preparedness. It also examines how use of ai correlates with knowledge levels and what that could mean for educators, policymakers, and consumers trying to close the gap.
Overall performance and subject-area declines
The national index found adults averaged only 47% correct across the full battery of questions. That score marks the weakest performance since the P-Fin Index began in 2017 and represents a meaningful drop from the previous year. The distribution also shifted: the share of adults classified as having very low financial literacy — defined by getting seven or fewer items right — rose from one-fifth to one-quarter of the population. Meanwhile, the top-performing segment remains small, with only a modest portion of respondents answering nearly all the questions correctly.
Performance fell in most tested domains. The largest decline occurred in the area of consuming, with other falls recorded in borrowing, earning, insuring, and comprehending risk. Across groups, understanding of risk concepts was the weakest single topic, indicating persistent difficulty in evaluating probability, trade-offs, and uncertainty when making financial choices.
Generational patterns and gender gap
Age cohorts show stark differences. Members of Generation Z scored the lowest, correctly answering just 38% of items. That places them behind Millennials, Generation X, and Baby Boomers. A striking proportion of Gen Z — more than a third — fall into the very-low-literacy category, suggesting that many young adults enter economic life with limited practical knowledge about money management. The data imply that the lack of widespread, implemented financial instruction in secondary schools may be a contributing factor.
The survey also highlights a persistent gender gap: women averaged lower scores than men, answering roughly 44% of questions correctly versus 50% for men. Although gaps vary by topic, the consistent weakness in risk comprehension across sexes indicates a broad-based need for clearer education on uncertainty, insurance, and long-term planning.
Retirement readiness and emergency preparedness
Results on retirement-related items were particularly concerning. On average, adults answered only 2.2 of six retirement-focused questions correctly, covering topics such as Social Security, Medicare, lifetime income concepts, long-term care considerations, and life expectancy. Very few respondents achieved near-perfect scores on these items, signaling potential shortfalls in retirement planning and preparedness. Low literacy is closely linked to household fragility: those with the poorest scores are several times more likely to struggle with day-to-day expenses, lack emergency savings, and spend excessive time managing finance problems instead of building longer-term security.
Ai use for personal finance and reliability concerns
The 2026 survey introduced questions about use of artificial intelligence tools for money questions. Nearly one in five adults have tried an ai service — examples cited include chatbot platforms and bank chat features — to get personal finance information. Regular users remain a small share, but younger adults lead adoption: roughly 30% of Gen Z and nearly a quarter of Millennials have consulted ai for finance issues, compared with single-digit shares of older adults. Higher-literacy individuals are more likely to use ai tools than those with very low literacy.
That said, experts and prior testing show ai responses on financial topics can be unreliable. Past audits found a substantial share of ai-produced answers on finance contained errors, reinforcing that these tools should be treated cautiously and supplemented with authoritative sources. Consumers relying on ai without basic literacy may be at risk of accepting incorrect or incomplete guidance.
Policy context and what to watch
Policy efforts are moving to respond: more states now require a personal finance course for high school graduation than a few years ago, but implementation often lags. Only a subset of states that passed mandates have fully rolled them out, meaning many current young adults completed school without formal instruction. The survey’s generational results suggest those implementation gaps are material to early-adult financial outcomes. For policymakers, educators, and financial institutions, the findings argue for accelerating effective, evidence-based financial education and for improving the quality of digital guidance, including ai, that people increasingly consult.
In sum, the decline in measured money knowledge raises clear concerns about household resilience and retirement readiness. Addressing the shortfall will require coordinated action across schools, workplaces, and the digital services consumers use for advice.