A Quantitative Analyst carries a 37/100 AI replacement risk (low). AI can already handle routine documentation and reporting; Judgment in ambiguous situations still needs a person. Of exposed work, ~72% is automation vs 28% augmentation. Capability clock: ~3.4 years (2029). (ReplacedYet AI-Risk Index, 2026 data.)

Will AI replace a Quantitative Analyst?

AI replacement risk: 37/100 (low risk). Low exposure — this work resists automation and is hard for AI to replace.

Timeline: 5+ years / low. Of the exposed work, roughly 72% is likely to be automated and 28% augmented. $1.7B/yr of US wages sit in highly-exposed work for this role.

AI/software exposure: 49%. Robot/physical-automation exposure: 0%.

Capability clock: AI's measured task horizon reaches this role's core complexity (~4000.2h of human work) ~3.4 years (2029) — projected from METR's ~4.3-month doubling.

Pressure Index: 47/100 (medium) — blends risk, demand trend, and real-world evidence. Job postings down 30% vs 2020.

AI tools targeting this role

Layoff signal: moderate — AI coding tools raise per-engineer output, with some companies citing slower junior hiring.

Tasks at risk

Tasks that still need a human

Skills that protect you

Safer adjacent careers

Childcare Worker (5%) · Hairdresser (6%) · Nursing Assistant (6%) · Teaching Assistant (6%)

Related jobs

Machine Learning Engineer (37%) · Data Engineer (38%) · Data Scientist (40%) · Cloud Architect (41%)

Category: Technology · Methodology · Download the dataset

ReplacedYet AI-Risk Index. Last updated 2026-06-26. AI-estimated and directionally useful, not a guarantee.