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Side-by-side capability-dimension intelligence. How AI is reshaping each role, dimension by dimension — generated for any role, with the signal-coverage detail below.
Both roles weight Technical Fluency highly (Software Engineer 90%, UX Designer 60%). Software Engineer weights Implementation Quality 100% more; UX Designer weights Customer & User Understanding 100% more.
What is happening to each role right now — generated on demand for any role title, not limited to canonical archetypes.
Software Engineer
Hiring volumes for software engineers contracted sharply in 2023–2024 following mass layoffs across big tech, but stabilised in late 2024. Demand is now bifurcating: engineers who can work effectively with AI coding tools (Copilot, Cursor, Claude) and ship at higher throughput are commanding salary premiums, while pure implementation roles at junior and mid levels face real compression. Backend and infrastructure engineers with distributed systems depth remain in short supply. Full-stack generalists without clear systems or product instincts are experiencing the most pricing pressure. Companies rebuilding headcount post-freeze are hiring senior engineers at a 2:1 ratio over junior hires — a structural shift that is likely to persist. Security-aware engineering is becoming a baseline requirement, not a specialism, following a run of high-profile supply-chain incidents. AI is absorbing first-draft code generation and boilerplate; the premium is shifting toward system design judgment, debugging complex distributed failures, and owning production reliability. Engineers who avoid AI tooling are falling behind on raw throughput benchmarks in hiring assessments.
UX Designer
UX hiring has contracted meaningfully since 2022–2023. Meta, Amazon, and Google cut UX headcount in waves, and many mid-market companies collapsed separate UX functions into product or merged UX/UI roles. Open roles in 2024–2025 skew toward senior generalists who can own research and delivery end-to-end — junior-only portfolios are not clearing the market at the same rate they did in 2021. Salary premiums are concentrating at the intersection of UX and systems-level thinking: designers who can build and govern design systems, work inside complex B2B or developer tooling contexts, or design for AI-driven interfaces (conversational UI, adaptive content) command 15–25% above median. Pure visual/UI execution work is being absorbed by AI tools like Figma AI, Galileo, and Uizard, compressing demand for lower-complexity production tasks. Research skills are increasingly valued as a differentiator — companies that cut researchers in 2023 are now rebuilding that capability inside senior IC UX roles. Demonstrable fluency with Figma (including variables and prototyping), usability testing tooling (Maze, UserTesting), and the ability to translate research into product direction are the current baseline expectations.
Dimensions both roles weight, sorted by combined weight. Bars show each role's relative weight; pills show how AI is reshaping the dimension.
The legacy signal-count view — validated capability evidence per role archetype. Complementary to the capability-dimension comparison above.
Tasks tracked
AI signals
Top disrupted task
Dimensions one role weights and the other doesn't — where the two roles genuinely diverge.
Only Software Engineer
Only UX Designer
The dimensions where the two roles diverge most — the clearest read on how the work actually differs.
Most protected task
Avg confidence
Top tasks ranked by AI exposure — capability × (1 − defensibility). Bars show capability evidence intensity.
Software Engineer
full profile →Top confidence: Plausible
Top confidence: Plausible
Top confidence: Confirmed
Top confidence: Confirmed
Ux Designer
full profile →Top confidence: Confirmed
Top confidence: Confirmed
Top confidence: Confirmed
Top confidence: Plausible
Run the assessment as a software engineer or ux designer— Runway maps your actual task mix against the graph and surfaces the specific signals moving against you. About 10 minutes, free, no card.