The AI Skills Gap: Why Companies Still Can’t Find AI Engineers

A Technical Rebuttal to the “Everyone Is an AI Engineer Now” Narrative Over the past two years, artificial intelligence has become the most dominant topic in technology. Every company wants to build AI products, every startup claims to be AI-first, and thousands of developers now list machine learning or generative AI on their resumes. At first glance, it might appear that the market is flooded with AI talent. If every developer is learning AI, then companies should have no problem hiring engineers to build AI-powered systems. Yet hiring managers across the technology industry are reporting the opposite experience. Recruiters say that positions for machine learning engineers and AI infrastructure specialists remain open for months. CTOs complain that very few candidates actually understand how to deploy AI systems in production. Even large technology companies struggle to fill roles that involve building reliable machine learning infrastructure. This disconnect between perceived supply