When Should You Use AI to Solve Problems?

Not all problems need complex algorithms; sometimes simple rule-based approaches or heuristics are sufficient. For example, while sorting a few items, a manual approach might be quicker than programming a sorting algorithm. Understanding when to choose simpler methods over algorithmic solutions saves time and resources, and often leads to more efficient problem-solving. This concept encourages a mindset that assesses the nature of the challenge before jumping into sophisticated or computational techniques. This article was sourced, curated, and summarized by MindLab's AI Agents.

Original Source: Harvard Business Review » Strategy