Harvard professor and author Arthur Brooks has spent years studying why so many people feel a growing sense of emptiness despite lives that look full on the outside. His new book, “The Meaning of Your Life,” offers a framework worth consideration.
At the center of his thinking is a distinction that sounds simple yet carries real weight. Complicated problems are hard but solvable. Build a skyscraper, master a software system, close a difficult deal. Complex problems are entirely different. How to build a lasting relationship, lead a team through uncertainty, or create a culture of trust are questions that need ongoing consideration since they’re never fully resolved.
The trouble is that technology keeps offering complicated solutions to complex problems, and it doesn’t work.
Brooks points to loneliness as the clearest example. Social media promised connection and delivered isolation instead. The complicated solution could not touch the complex need beneath it. The same risk now exists with AI, which can automate tasks and free up time, but cannot duplicate the human experiences that create genuine meaning.
For professionals navigating both technology and complexity daily, the distinction is worth carrying into the workplace. Knowing which category a problem falls into changes how to approach it, how long to give it, and what success actually looks like.
ARTICLE: COMPLICATED OR COMPLEX PROBLEMS?
Harvard professor and author Arthur Brooks has spent years studying why so many people feel a growing sense of emptiness despite lives that look full on the outside. His new book, “The Meaning of Your Life,” offers a framework worth consideration.
At the center of his thinking is a distinction that sounds simple yet carries real weight. Complicated problems are hard but solvable. Build a skyscraper, master a software system, close a difficult deal. Complex problems are entirely different. How to build a lasting relationship, lead a team through uncertainty, or create a culture of trust are questions that need ongoing consideration since they’re never fully resolved.
The trouble is that technology keeps offering complicated solutions to complex problems, and it doesn’t work.
Brooks points to loneliness as the clearest example. Social media promised connection and delivered isolation instead. The complicated solution could not touch the complex need beneath it. The same risk now exists with AI, which can automate tasks and free up time, but cannot duplicate the human experiences that create genuine meaning.
For professionals navigating both technology and complexity daily, the distinction is worth carrying into the workplace. Knowing which category a problem falls into changes how to approach it, how long to give it, and what success actually looks like.
ARTICLE: COMPLICATED OR COMPLEX PROBLEMS?