AI vs. data‑science pay split
New analysis shows AI roles have pulled ahead of data science in both salary growth and hiring demand in 2026, though data science remains central for analytics-focused teams. The report frames AI skills as the higher-paying path but notes that analytics roles keep steady demand. (analyticsinsight.net)
Recent market analyses put a mid‑level AI/ML engineer range at roughly $140,000–$200,000 USD and note senior AI engineers commonly top $200,000 USD in total compensation. (opendatascience.com) A separate benchmarking study cites an average AI engineer base near $204,000 USD (June 2024 data point referenced) and highlights that specialized AI roles are commanding 20–40% premiums over traditional engineering titles. (jobspikr.com) Hiring‑demand research and industry commentary list “production‑ready AI” and model‑to‑product skills as the primary drivers of that premium, with MIT Sloan naming production deployment and GenAI integration among top 2026 trends. (sloanreview.mit.edu) Canadian compensation snapshots show the average Data Scientist/ML Engineer salary near CA$110,047, while Canadian AI compensation guides report growing premiums that close the gap with U.S. hubs across Toronto, Montréal and Vancouver. (glassdoor.ca) Equity practices shifted in 2026: public tech firms increasingly use RSUs (reported ~82% adoption) and equity now commonly represents roughly 35–50% of total tech compensation, with top performers receiving annual grants in the US$100k–$300k range. (talenttech.pro) Salary‑market tools and employer guides recommend benchmarking offers with real‑time sites (Levels.fyi) and annual salary guides (Robert Half) and note that annual equity “refresh” grants and level‑bump asks are standard negotiation levers in 2026. (levels.fyi) Canadian tax‑shelter limits relevant to allocating any AI premium are: TFSA contribution room set at $7,000 for 2026 and the RRSP annual dollar limit at $33,810 for the 2026 tax year. (fidelity.ca)
