The AI-powered 'Death Clock' which has been launched recently has gained worldwide popularity for predicting users' life expectancy based on their lifestyle habits. According to a Bloomberg report, the app has reached 125,000 downloads since its launch, as per data from market intelligence firm Sensor Tower.

The app, developed by Brent Franson, has studied over 1,200 life expectancy cases involving 53 million participants. By considering factors such as stress levels, exercise routines, and dietary habits, it estimates an individual’s date of death. Franson has claimed that the results are "pretty significant," showcasing the app's potential in predicting life expectancy with remarkable accuracy.

The app, praised for its accurate predictions about human lifestyle, has topped the health and fitness app category. Users of The Death Clock app are required to pay a $40 annual subscription in order to get personalized suggestions for lifestyle changes aimed at reducing mortality, encouraging healthier habits, and potentially extending life expectancy.

“There’s probably not a more important date in your life than the day that you’re going to die,” said Brent Franson.

In the United States, life expectancy is an important factor used by the government, businesses, and individuals for making decisions about welfare and financial planning. 

However, the US has a lower life expectancy compared to other developed countries. The US Social Security Administration provides a table to estimate how likely people are to die at different ages. For example, according to the table, an 85-year-old man has a 10% chance of dying within a year, with an average of 5.6 more years to live.

Despite this, Brent Franson believes his new app can provide a more accurate and personalized death estimate, offering users a customized "death clock."

Recent studies from the National Bureau of Economic Research have marked the importance of life expectancy in economic decision-making. One study, "On the Limits of Chronological Age," said that people's actual economic behavior is often not accurately reflected by their calendar age. 

Another study, "The Value of Statistical Life for Seniors,"  pointed at the "value per statistical life" (VSL) and found that it varies significantly based on factors like age and health. These findings show that life expectancy is a key factor in shaping economic and policy decisions.

Apart from this, the app is expected to help increase life expectancy by improving medical technology. Many advanced tools, like heart-rate monitors and oxygen-consumption gauges in wearables, are already available. When combined with AI, these technologies could help reduce death rates.

It's also often said that loneliness shortens life expectancy, while feelings of gratitude may help extend it. A Harvard study found that most grateful women had a 9% lower risk of dying within three years.

Money is another important factor affecting life expectancy. Studies, including one by Nobel Prize-winning economist Angus Deaton on "Deaths of Despair," show a gap in life expectancy between rich and poor Americans.