A Data Scientist carries a 40/100 AI replacement risk (medium). AI can already handle routine documentation and reporting; Judgment in ambiguous situations still needs a person. Of exposed work, ~65% is automation vs 35% augmentation. Capability clock: ~3.1 years (2029). (ReplacedYet AI-Risk Index, 2026 data.)

Will AI replace a Data Scientist?

AI replacement risk: 40/100 (medium risk). Moderate exposure — AI automates routine parts; judgment and relationships remain human.

Timeline: 2030–2034. Of the exposed work, roughly 65% is likely to be automated and 35% augmented. $8.6B/yr of US wages sit in highly-exposed work for this role.

AI/software exposure: 52%. Robot/physical-automation exposure: 0%.

Capability clock: AI's measured task horizon reaches this role's core complexity (~2125h of human work) ~3.1 years (2029) — projected from METR's ~4.3-month doubling.

Pressure Index: 49/100 (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

Cloud Architect (41%) · Computer Network Architect (41%) · DevOps Engineer (42%) · Systems Administrator (42%)

Category: Technology · Methodology · Download the dataset

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