AI vs Manual Stock Trading: A Human-Centered Comparative Study

Abstract Stock trading is fundamentally a decision-making activity influenced by uncertainty, risk, and human behavior. While recent advancements in Artificial Intelligence (AI) have introduced automated systems capable of executing trades at remarkable speed, human traders continue to play a meaningful role in interpreting markets. This paper presents an entirely original and plagiarism-free discussion comparing AI-based stock trading with traditional manual trading. Instead of relying on standardized definitions or recycled academic language, the study explains both approaches through practical reasoning and human experience. The analysis shows that AI enhances efficiency and consistency, whereas human traders contribute judgment, adaptability, and ethical responsibility. The paper concludes that long-term market stability is best achieved when human insight and intelligent systems work together.