AI for Retirement Income Planning Quiz

Answers and explanations appear as you take the quiz.

1. How much does each year of delaying Social Security past full retirement age add to the benefit, up to age 70?
   • 4%
   • 6%
   • 8%
   • 10%
2. Why do planning tools often recommend Roth conversions in the years between retiring and starting Social Security?
   • Income is often low then, so converted money can be taxed in lower brackets before RMDs and benefits begin
   • Conversions are tax-free before age 65
   • Medicare requires conversions before enrollment
   • Roth accounts must be opened before claiming benefits
3. A tool warns that a large conversion at 64 will raise Medicare premiums at 66. What rule explains the two-year gap?
   • The RMD start rule
   • The ACA subsidy cliff
   • The Social Security earnings test
   • IRMAA surcharges are based on income from two years earlier
4. Under SECURE 2.0 as described in the guide, at what age do RMDs begin for someone born in 1960 or later?
   • 70½
   • 73
   • 72
   • 75
5. Why does the guide say couples should model joint longevity instead of planning to average life expectancy?
   • Couples have a higher chance that at least one spouse lives into their 90s
   • Social Security pays couples only until the first death
   • Average life expectancy applies only to single people
   • Longevity tables forbid joint calculations
6. How does a guardrails spending method such as the one associated with Guyton and Klinger work?
   • It keeps spending fixed whatever happens in markets
   • It changes spending when the current withdrawal rate drifts outside set bands
   • It moves all assets into annuities at 70
   • It lets a language model choose spending each year
7. For someone whose full retirement age is 67, how much is the benefit reduced by claiming at 62?
   • 10%
   • 20%
   • 30%
   • 50%
8. According to the guide, what role should large language models play in retirement income software?
   • Doing the tax and withdrawal calculations directly in text
   • Collecting inputs through conversation and explaining results, while the engine does the math
   • Replacing mortality tables with generated lifespans
   • Setting Social Security claiming ages without user input