IT & Software

Software Engineer

Designs, builds, and operates applications and systems. One of the fastest-changing roles as AI coding assistants go mainstream.

AI displacement risk 35% Medium

Average salary $110,000

Salary trend ↗ Rising

Why this risk score

Code-generation AI accelerates routine implementation, but requirements, architecture, review, and system integration still need human judgment. Engineers who master AI actually grow more valuable.

Core tasks

Requirements
Architecture
Implementation
Testing
Code review
Operations & maintenance

Outlook

The shift to AI-native workflows makes each engineer several times more productive. Demand rises for people who can handle upstream design and orchestrate AI.

Skills to build now

AI Skills Beginner

AI Fluency

The foundational skill everyone needs, regardless of role. Whether you can build AI into daily work decides your productivity.

Market value High ~40h to learn

Specialist Skills Advanced

System Design

When AI writes the code, the upstream power to decide what to build. Hard to replace and rising in demand.

Market value High ~200h to learn

Core Skills Intermediate

Critical Thinking & Judgment

The ability to question AI output, spot errors, and decide. As AI does more, human judgment becomes the scarce asset.

Market value High ~150h to learn

Recommended AI tools for this job

AI Coding Intermediate

Claude Code

An agentic coding AI in your terminal that plans, implements, and fixes autonomously. Built for developers.

Included with Claude Pro $20 / Max from $100 / Team $25 per seat Paid only

AI Coding Intermediate

Cursor

An AI-powered code editor. Completion, chat, and auto-edits dramatically speed up coding.

Free / Pro $20 / Pro+ $60 / Ultra $200 per month Free plan

AI Coding Beginner

GitHub Copilot

An AI pair programmer that autocompletes code in your editor. Easy to adopt and a proven entry point.

Free / Pro $10 / Pro+ $39 / Max $100 per month Free plan

Frequently asked questions

Will AI replace Software Engineers?

Partly — some tasks will be automated while others stay human. Code-generation AI accelerates routine implementation, but requirements, architecture, review, and system integration still need human judgment. Engineers who master AI actually grow more valuable.