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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 Problem Decomposition highly (Software Engineer 80%, Business Analyst 80%). Software Engineer weights Implementation Quality 100% more; Business Analyst weights Active Listening & Elicitation 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.
Business Analyst
BA hiring remains broadly stable across financial services, insurance, government, and large enterprise tech — sectors where regulatory change and legacy system transformation sustain demand. Specialist BAs with domain depth in areas such as payments, core banking, ERP migration (particularly SAP S/4HANA), or NHS/public sector digital command salary premiums 15–25% above generalists. Generalist BA roles in mid-market and startup environments face compression: product-oriented teams increasingly absorb discovery and requirements work into product manager or UX researcher remits, shrinking pure-BA headcount in those contexts. Tools like Jira, Confluence, Miro, and Visio are table stakes; BAs who can query data directly (SQL, Power BI) are meaningfully more hireable. AI is accelerating documentation and process-mapping grunt work — first drafts of BRDs, user stories, and process diagrams — but has not displaced the stakeholder trust and conflict-navigation work that defines senior BA value. The strongest near-term risk is role absorption in agile product teams; the opportunity is in transformation programmes where BA rigour is a compliance and governance requirement.
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 Business Analyst
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
Business Analyst
full profile →Top confidence: Confirmed
Top confidence: Confirmed
Top confidence: Confirmed
Top confidence: Confirmed
Run the assessment as a software engineer or business analyst— Runway maps your actual task mix against the graph and surfaces the specific signals moving against you. About 10 minutes, free, no card.