Is a Software Engineer job safe from AI?

Only partly. A Software Engineer scores 51/100 (medium risk). AI can already handle a meaningful share of the tasks, so the safest path is shifting toward the judgment, relationship, and oversight parts of the role.

When will AI be able to do a Software Engineer's job?

Based on AI's measured task-completion horizon (METR, doubling ~every 4.3 months), AI reaches this role's core complexity ~2.4 years (2028). That projects the capability — actual adoption usually lags it.

How accurate is the Software Engineer AI-risk score?

It's a transparent, computed estimate — directionally useful, not a guarantee. It blends six labor and AI-exposure signals (O*NET, BLS, Eloundou task exposure, AIOE, the Anthropic Economic Index, and physical-automation data). See the methodology page for the full formula.

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

Field Service Technician (8%) · Telecom Technician (8%) · Drone Operator (29%) · Computer Vision Engineer (34%)

Frequently asked questions

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.)
Is a Software Engineer job safe from AI?: Only partly. A Software Engineer scores 51/100 (medium risk). AI can already handle a meaningful share of the tasks, so the safest path is shifting toward the judgment, relationship, and oversight parts of the role.
When will AI be able to do a Software Engineer's job?: Based on AI's measured task-completion horizon (METR, doubling ~every 4.3 months), AI reaches this role's core complexity ~2.4 years (2028). That projects the capability — actual adoption usually lags it.
How accurate is the Software Engineer AI-risk score?: It's a transparent, computed estimate — directionally useful, not a guarantee. It blends six labor and AI-exposure signals (O*NET, BLS, Eloundou task exposure, AIOE, the Anthropic Economic Index, and physical-automation data). See the methodology page for the full formula.

Category: Technology · Methodology · Download the dataset

ReplacedYet AI-Risk Index. Last updated 2026-06-27. AI-estimated and directionally useful, not a guarantee.