Research highlights key differences in wealth transfer preferences and family financial priorities between men and women Top financial priorities for 2025 include enjoying life (34%), building emergency savings (30%) and pension saving (11%) AI now accounts for 42.5% of financial fraud attempts, with cases rising 80% over the past three years Women put children first […]
| Research highlights key differences in wealth transfer preferences and family financial priorities between men and women | Top financial priorities for 2025 include enjoying life (34%), building emergency savings (30%) and pension saving (11%) | AI now accounts for 42.5% of financial fraud attempts, with cases rising 80% over the past three years |
Women put children first in succession planning
Research1 shows that women prioritise their children in succession planning, while men are more likely to focus on their spouse. Among high-net-worth women, 45% prioritise their children, compared to 33% of men. Meanwhile, 37% of men prioritise their spouse, whereas only 17% of women do, highlighting key differences in wealth transfer preferences and family financial priorities.
Personal finance positivity on the up
New research2 reveals that 60% of UK adults feel positive about their finances this year, up from 52% in 2024. Top financial priorities for 2025 include enjoying life (34%), building emergency savings (30%) and pension saving (11%). Despite economic challenges and high inflation, pension-saving attitudes remain steady. Unexpected expenses remain the biggest financial concern (35%). These findings suggest that while financial confidence is growing, many people are focused on balancing short-term enjoyment with long-term security.
AI financial fraud hits 42%
A recent report3 reveals that artificial intelligence (AI) now accounts for 42.5% of financial fraud attempts, with cases rising 80% over the past three years. AI has made fraud easier to carry out, but external factors also contribute to the surge. Meanwhile, banks and financial institutions are leveraging machine learning to detect and prevent fraud, continuously improving their ability to combat evolving threats in an increasingly digital landscape.
1Charles Stanley, 2025, 2Aegon, 2025, 3Signicat, 2024
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