AI can be the solution to retirement financial illiteracy

Malaysia News News

AI can be the solution to retirement financial illiteracy
Malaysia Latest News,Malaysia Headlines
  • 📰 FinancialReview
  • ⏱ Reading Time:
  • 50 sec. here
  • 2 min. at publisher
  • 📊 Quality Score:
  • News: 23%
  • Publisher: 90%

Technology is likely to play a critical role in unlocking digital solutions for providing retirees with simple, affordable advice.

Following decades of economic prosperity, rising property prices and a maturing superannuation system, one would assume Australia’s growing number of retirees are fully enjoying the fruits of their working lives. Yet, that’s not the case.is a telling line ... “most retirees draw down at the legislated minimum drawdown rates ... this results in many retirees leaving a significant proportion of their balance unspent”.

New research commissioned by AMP provides fresh insight into why we are a nation of under-spenders in retirement. It shows that three in four Australians over 50 find our retirement system too complex. Seven in 10 do not know what an account-based pension is. This is particularly concerning given that it is the primary income-generating facility for most Australians in retirement. A further two in five Australians over 50 have no idea if they’ll be eligible for the age-pension.

The challenge is to evolve and simplify solutions for everyday Australians, so a finance degree is not required to understand them. While there’s still a lot more to do, encouragingly, things are starting to head in the right direction. The Retirement Income Covenant provided super trustees with a much-needed catalyst.

The ongoing challenge for industry is to evolve and simplify these solutions for everyday Australians, so a finance degree is not required to understand them.

We have summarized this news so that you can read it quickly. If you are interested in the news, you can read the full text here. Read more:

FinancialReview /  🏆 2. in AU

Malaysia Latest News, Malaysia Headlines



Render Time: 2025-03-01 18:35:05