Here's something worth thinking about: which AI skills actually move the needle for your career in 2025? Not the buzzwords everyone's throwing around, but the practical ones that separate you from the crowd.

Five stand out. First, prompt engineering—sounds basic, but most people still can't extract quality outputs. Second, understanding AI model limitations so you don't ship garbage. Third, integrating AI into workflows without disrupting your team's rhythm. Fourth, data literacy, because feeding AI clean inputs beats fancy models with messy data. Fifth, ethical judgment—knowing when AI shouldn't be the answer.

In Web3 and crypto especially, these skills compound fast. Smart contract auditing with AI assistance? Game-changer. Automated trading strategies? Only works if you understand the models. On-chain data analysis? Data literacy makes or breaks it.

The edge isn't just using AI. It's knowing how to use it better than the next person, and—just as important—when not to use it at all.