The AI job market — what's hiring vs what's not
Lesson 2 of 3 in The Canadian AI Ecosystem · 22 minutes
AI hiring sounds uniformly hot. The reality is more nuanced. Some specializations are oversupplied; others have severe shortages. This lesson maps what's actually hiring in 2026 Canadian AI.
What you'll learn
- Identify high-demand AI specializations in 2026
- Recognize oversupplied niches
- Match your background to the right specialization
- Plan a 6-12 month skill-build to address gaps
From the lesson
Headlines say 'AI is hiring.' Reality is messier. Different AI specializations have very different supply-demand dynamics. Some IEPs apply for months without interviews because they're targeting oversupplied roles. Others get multiple offers because they're in shortage areas. This lesson maps the 2026 reality so you can target deliberately.
1. High-demand specializations (2026)
ML engineering / production ML. Engineers who can take a model from notebook to production — feature pipelines, model serving, monitoring, A/B testing. Highest demand category. Banks, scale-ups, FAANG-Canada all want these. Pay: $130K-$280K total comp depending on level.
LLM/GenAI engineering. Building applications with…