Artificial intelligence
AI decision paralysis (also called AI paralysis for short) is the state in which an organisation's leaders cannot commit to a clear strategy for adopting artificial intelligence.
It does not arise from a lack of information but from an excess of it: complexity, perceived risks, the speed at which tools change and the stakes involved. It is a form of analysis paralysis, and recalls the paradox of choice described by the psychologist Barry Schwartz (2004): the more alternatives there are, the harder it is to pick one. The results are stalled projects, missed opportunities and a competitive disadvantage that grows while the market moves on. The way out is to shrink the decision: one use case, one scope, one measure of success.
An example
A committee spends a year evaluating five AI platforms while waiting for the definitive one, while a competitor adopts one on a single process and learns.
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