The document discusses the potential for artificial intelligence to assist with or automate software testing compared to human testing. It notes that AI-assisted testing has not been widely utilized until now due to limits in computational power and available test data, but that AI could be used to monitor complexity in software under test. The document then provides an example of how complexity can increase factorially with the number of variables or inputs using the binomial theorem. It suggests that the appropriate use of AI-assisted testing versus human testing or test automation depends on factors like complexity, time constraints, and team resources.