Definition: We define loop closing as the automation of an end-to-end business activity so that humans are no longer used in any aspect of the process. Instead, it is fully automated via an AI-based solution.

Thesis #1: AI is progressing to a point where it will match or surpass human performance on enough tasks within an increasing range of human-performed jobs so as to “close the loop” on those jobs.

Thesis #2: Once loop is closed over an entire job function, performance on that job function will jump discontinuously in cost and productivity.

Thesis: As AI-ability surpasses human-ability across ALL aspects of a given job, AI will tend to “close loop” such in a way that humans are not involved-in or even aware-of the actions the AI is taking in execution of this ability.

Justification:

• Because of [[Natural_Selection]], each time AI-abilities surpass human-ability, execution of that ability is aggressively transitioned to AI-execution.
• that specific

Discussion:

Quickly there will become no comparison between open-loop and closed-loop performance on tasks that have closed.