Originally published on AI Tech Connect.
What you need to know The market is starved, not saturated. Per one 2026 analysis, there are around 1.6M open AI roles globally against roughly 518K qualified candidates — about 3.2 openings per candidate. In India the imbalance is sharper still. Learn in tiers, not all at once. Foundations (Python, SQL, Git) → LLM application skills (prompting, RAG, agents, evals) → LLMOps and deployment (Docker, Kubernetes, cloud) → specialisation plus governance. Skipping a tier is why strong learners stall. Specialisation pays. Per 2026 compensation analyses, specialists out-earn generalists by roughly 30–50%, AI roles pay 56–67% above standard software engineering, and LLM specialists sit at the very top. Skills are necessary but not sufficient. In a market this hungry, the constraint isn't demand —…
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