Will AI replace Software Engineers?

A Software Engineer carries a 51/100 AI replacement risk (medium). AI can already handle writing boilerplate code; System architecture still needs a person. Of exposed work, ~74% is automation vs 26% augmentation. Capability clock: ~2.4 years (2028). (ReplacedYet AI-Risk Index, 2026 data.)

Will AI replace a Software Engineer?

AI replacement risk: 51/100 (medium risk). Moderate exposure — AI automates routine parts; judgment and relationships remain human.

Timeline: 2030–2034. Of the exposed work, roughly 74% is likely to be automated and 26% augmented. $112.2B/yr of US wages sit in highly-exposed work for this role.

AI/software exposure: 66%. Robot/physical-automation exposure: 0%.

Capability clock: AI's measured task horizon reaches this role's core complexity (~634.7h of human work) ~2.4 years (2028) — projected from METR's ~4.3-month doubling.

Pressure Index: 59/100 (medium) — blends risk, demand trend, and real-world evidence. Job postings down 36% vs 2020.

AI tools targeting this role

GitHub Copilot — AI code completion and generation
Cursor — AI-native editing and multi-file code changes
Devin — autonomous completion of software engineering tasks

Layoff signal: moderate — AI coding assistants have raised per-engineer output, and several companies have cited them in slowing junior engineering hiring.

Then vs. now: the 2013 Oxford study scored this 4%; our 2026 index scores it 51% (a rise of 47 points).

Tasks at risk

Writing boilerplate code — AI assistants generate routine code fast.
Writing unit tests — Test generation is largely automated.
Debugging common errors — AI explains and fixes typical bugs.

Tasks that still need a human

System architecture — High-level design needs judgment & context.
Stakeholder & product tradeoffs — Cross-functional decisions stay human.

Skills that protect you

System design & architecture — Direct AI rather than compete with it.
AI/ML engineering — Build the tools doing the automating.
Product & domain expertise — Translate needs into systems.

Safer adjacent careers

Machine Learning Engineer (37%) · Quantitative Analyst (37%) · Data Engineer (38%) · Childcare Worker (5%)

Category: Technology · Methodology · Download the dataset

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