Ethan Mollick's article explores how AI is reshaping the role of management. He shares insights from a class where students, using tools like Claude Code and ChatGPT, built startups in days. The key takeaway? Effective management, specifically the ability to delegate and evaluate AI-generated work, is becoming a critical skill. This shift is driven by the speed and cost-effectiveness of AI tools.

Mollick breaks down the equation of agentic work, highlighting three factors: Human Baseline Time, Probability of Success, and AI Process Time. The goal is to optimize these variables to maximize efficiency. This framework helps determine when to delegate tasks to AI, considering the time spent on prompting, waiting, and evaluating AI outputs against the time saved.

He uses the GDPval paper as a case study, demonstrating how GPT-5.2 tied or beat human experts 72% of the time, leading to significant time savings. To further improve results, Mollick suggests focusing on better instructions, improved evaluation, and faster assessment of AI's capabilities. This evolution underscores the importance of adapting management styles.

Ultimately, the ability to effectively manage and leverage AI is becoming a new superpower. As AI tools become more sophisticated, the skill of delegating tasks and providing feedback will separate successful leaders. This highlights the ongoing transformation in how work gets done and the value of human expertise in guiding AI's potential.