Can AI really predict your future? Columbia Business School Associate Professor of Business Sandra Matz is featured in a Science article that explores how a new algorithm trained on millions of life stories in Denmark predicts key life outcomes like health, income, and even the risk of early death.
The model, called "life2vec," analyzes life events much like it processes text—by finding patterns that offer surprisingly accurate predictions. However, while the model’s results are impressive, Matz raises important questions about its broader application—especially outside of Denmark.
Matz points out that while some predictions, like linking certain jobs to personality traits, seem straightforward, applying this technology to diverse populations could be more challenging. She suggests that while AI has the potential to identify risks and guide decisions, it also brings concerns about data privacy and ethical use. This study offers a glimpse into a future where AI not only analyzes data but also predicts personal life paths.
Read the full article to learn more about how AI is pushing the boundaries of what we can know—and what it means for the future.
Mentioned Faculty

Sandra Matz
- David W. Zalaznick Associate Professor of Business
- Management Division
Sandra Matz takes a Big Data approach to studying human behavior in a variety of business-related domains. She combines methodologies from psychology and computer science – including machine learning, experimental designs, online surveys, and field studies – to explore the relationships between people’s psychological characteristics (e.g. their personality) and the digital footprints they leave with every step they take in the digital environment (e.g. their Facebook Likes or their credit card transactions).