The Misuse of the Word Expert in AI

View profile for Siddhesh Bharapte

CSE Graduate | AI, Machine Learning and Deep Learning Practitioner | Passionate About Tech Innovations

In AI the word expert gets thrown around so often that it starts to lose meaning. True expertise isnt about titles, badges, or hype its about staying curious, asking tough questions, and being honest about what we dont yet know. The pace of AI means that the moment we stop learning, we fall behind. Thats why I believe its better to be a student of AI than to claim to be an expert in AI. Rather focus on learning, experimenting, and sharing than pretending to have all the answers.

View profile for Eduardo Ordax

🤖 Generative AI Lead @ AWS ☁️ (150k+) | Startup Advisor | Public Speaker | AI Outsider | Founder Thinkfluencer AI

The Rise of “AI Experts” across LinkedIn… Lately, I’ve been noticing a familiar pattern, impostor syndrome is everywhere. But this time, it’s not just internal. It’s playing out in the AI space, where it’s getting harder to tell what’s real and what’s just… well, branding. I see people post daily about AI, riding the hype, wearing the “expert” badge proudly. But when it comes to actually speaking in public, answering hard questions, or getting into the technical weeds? Silence. We throw around the term expert so casually that it’s started to lose meaning. Here’s the usual evolution: ✔️Expert on AI ✔️Expert on LLMs ✔️Expert on MCP ✔️And AI expert on Agentic AI too…. It’s always the same playbook. That’s why I’ve never called myself an expert and probably never will. I prefer to stay an outsider, learning, questioning, and sharing what I do know without pretending to know it all. Because in a field changing this fast, claiming expertise too loudly might just be the first sign you’ve stopped learning. #AI #experts

  • No alternative text description for this image

To view or add a comment, sign in

Explore content categories