MBAs need AI strategy skills, not coding. While 74% of employers demand AI fluency, business schools are teaching decision frameworks and prompt engineering - leaving the Python to the engineers.
Process expertise beats deep technical knowledge when hiring AI Operations Managers. Most companies get this backwards, prioritizing ML skills over operational wisdom.
ChatGPT Enterprise promises transformation but delivers complexity. From Custom GPT maintenance nightmares to quality variance, here is the implementation reality after watching companies deploy, struggle, and sometimes abandon the platform.
Stop guessing. Based on community patterns and documentation analysis, the difference is clear - Tasks for parallel search, subagents for persistent expertise. Here is the decision framework emerging from real usage.
Forget the marketing. Based on thousands of real user experiences, here is what Claude, ChatGPT, and Gemini actually do well, where they fail spectacularly, and which one you should use for specific tasks.
AI agents wreck environments in loops while burning through thousands in tokens. But the real failure? Feedback systems that collect input then do nothing. Here is what actually works in production.