Part 3/6:
Looking back a few years reveals that AI's capabilities in automated decision-making were limited. As of three to four years ago, AI systems were generally insufficiently advanced to independently manage complex infrastructure modifications unless the entire system was rebuilt from scratch following modern standards and best practices.
This was primarily due to the state of AI technology at the time, which lacked the maturity necessary for nuanced decision-making in complex, legacy environments. Consequently, organizations often faced the dilemma of essentially overhauling their infrastructure to accommodate AI-driven automation effectively.