INDEX/JOBS/SOFTWARE-ENGINEER

COMPUTER & MATHMODERATE EXPOSUREREPORT ID #3163

Software Engineer.

Software engineers face heavy task-level exposure to language models, but maintain strong human-critical work in systems design, debugging ambiguous environments, and cross-team negotiation.

EXPOSURE

63%

↑ 2.1pp vs Q1

RESILIENCE

durable index

MEDIAN PAY

$132k

$92k – $215k

10Y GROWTH

+17%

Much faster than avg

Compare with another role

// EXPOSURE

Software Engineers

THE TASK-LEVEL VERDICT

CODE-GEN

REFACTOR

DOCS

TESTS

Where the score comes from

Time spent, weighted by AI capability.

Distribution by class

32%

48%

20%

AI-Substitutable

AI-Assisted

Human-Critical

Task breakdown

All 12 canonical tasks

	Task	Exposure	Classification	Time share
01	Write boilerplate & CRUD code	92%	AI-Substitutable	14%
02	Generate unit tests from specs	88%	AI-Substitutable	8%
03	Author documentation	85%	AI-Substitutable	6%
04	Translate code between languages	81%	AI-Substitutable	4%
05	Review pull requests	64%	AI-Assisted	11%
06	Implement features from tickets	61%	AI-Assisted	18%
07	Refactor legacy modules	58%	AI-Assisted	9%
08	Debug failing tests	47%	AI-Assisted	10%
09	Design system architecture	28%	Human-Critical	8%
10	Triage production incidents	22%	Human-Critical	4%
11	Negotiate scope with stakeholders	14%	Human-Critical	5%
12	Mentor junior engineers	11%	Human-Critical	3%

Task profile · radar

Where the work concentrates.

Procedural and Cognitive tasks dominate this role — both highly model-addressable. Social and Judgement axes are smaller but more resilient.

Capability creep · 8 years

Exposure climbed 25pp since 2018.

'18'20'22'24'26

Editorial signals

What the data is telling us.

INSIGHT · 01

EXPOSURE SIGNAL

Documentation, boilerplate, and unit testing are highly substitutable. Expect ≥80% of these to be model-assisted within 18 months.

INSIGHT · 02

AUGMENTATION SIGNAL

AI augmentation will raise the floor: median engineers will ship at ~1.6× current pace. Senior judgement becomes the bottleneck.

INSIGHT · 03

RESILIENCE SIGNAL

System design under ambiguity, incident response, and cross-team negotiation remain durable. These compound over a career.

Resilient adjacencies

Where software engineers move next.

AI/ML Engineer

Moderate

51%

-12pp vs Software

Engineering Manager

Low

34%

-29pp vs Software

Site Reliability Engineer

Moderate

41%

-22pp vs Software

Developer Advocate

Moderate

48%

-15pp vs Software

Security Engineer

Low

38%

-25pp vs Software

Community pulse

Has AI already changed your work?

12,408 software engineers responded in the last 30 days.

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Software Engineer

63%

AI-Exposed

37% remain human-critical

TASKEXPOSED.COM/JOBS/SOFTWARE-ENGINEERRESEARCH BRIEF · MAY 2026

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FAQ

Common questions about Software Engineer AI exposure.

What is the AI exposure score for Software Engineers?

Software Engineers have an overall AI exposure score of 63%, meaning approximately 63% of their time-weighted tasks can be substantially assisted or substituted by current frontier AI models. This places the role in the "Moderate" exposure category.

Will AI replace Software Engineers?

AI is unlikely to fully replace Software Engineers in the near term. The 37% of tasks classified as Human-Critical — including Design system architecture and Negotiate scope with stakeholders — remain strongly human-dependent. AI is more likely to augment the role, raising productivity and shifting focus toward higher-judgment work.

What tasks are most exposed to AI for Software Engineers?

The most AI-exposed tasks for Software Engineers include: Write boilerplate & CRUD code, Generate unit tests from specs, Author documentation. These have exposure scores of 92%, 88%, 85% respectively.

What skills should Software Engineers develop to stay resilient?

Software Engineers should focus on developing skills in areas that AI struggles with: Design system architecture, Negotiate scope with stakeholders, Triage production incidents. Adjacent careers with lower exposure include AI/ML Engineer and Engineering Manager.