Will contemporary society’s ever-growing, never-ending stream of information gradually paralyze and destroy us all? In 2008 the IT consulting firm Basex claimed this as a conservative estimate, with the figure presumably rising since then:
According to our latest research Information Overload costs the U.S. economy a minimum of $900 billion per year in lowered employee productivity and reduced innovation. This is a fairly conservative number and reflects the loss of 25% of the knowledge worker’s day to the problem. The total could be as high as $1 trillion.
Information overload describes an excess of information that results in the loss of ability to make decisions, process information, and prioritize tasks. It is nothing new – it was very much on the minds of thought leaders centuries ago, including Roger Bacon, Samuel Johnson, and Konrad Geßner whose 1545 Bibliotheca universalis warned of the “confusing and harmful abundance of books” and promulgated strategies for coping with the overload of information.