ReSkillMap (reskillmap.com) is a free, public career intelligence platform. We do not require account registration, and we do not collect personally identifiable information (PII) to use the site.
What we do not collect: Names, email addresses, passwords, payment details, or any other personal data. There is no login or sign-up process.
Browser storage: The site uses sessionStorage and localStorage in your browser to remember your tab selections, action plan filters, and quiz answers during your session. This data never leaves your device and is not transmitted to our servers.
Server logs: Our hosting provider (Hostinger) may record standard server access logs (IP address, timestamp, URL requested) for security and uptime monitoring. These logs are not used for tracking or profiling and are retained for a maximum of 30 days.
Third-party embeds: Course links on the ReSkill Path tab point to Alison.com and YouTube. Visiting those sites is governed by their respective privacy policies. We use affiliate tracking parameters in Alison links (utm_source=alison_user) solely to identify traffic originating from ReSkillMap for affiliate commission purposes — no personal data is shared.
Contact: If you email us at contact@reskillmap.com, we will use your email address only to respond to your query and will not add you to any mailing list without explicit consent.
The Live Job Market tab (Tab 7) displays real-time job listings aggregated from three external APIs. Data is fetched automatically twice daily (07:00 & 19:00 UTC) and cached. Job listings are not stored permanently beyond 5 recent snapshots.
Remote tech job board aggregating listings from company career pages. We query the software-dev, devops-sysadmin, data, and qa categories, then filter by sector keywords.
LinkedIn job search data accessed via the RapidAPI marketplace. Provides structured job postings including title, company, and location for 18 tracked regions. Active only when a RapidAPI key is configured.
rapidapi.com →AI-powered web search engine that retrieves job postings published within the last 30 days across the open web, capturing roles that don't appear on traditional job boards. Filtered to the job posting category.
How job data is processed:
- Jobs from all three sources are merged and deduplicated by title + company
- Sector classification uses keyword regex matching (e.g. "machine learning", "kubernetes", "playwright")
- Region is inferred from the job's location field using 18-country heuristics
- Salary ranges are extracted via regex from job descriptions where available
- Top skills are ranked by mention frequency across job titles, descriptions, and tags
The salary ranges displayed in the Live Job Market tab are sourced directly from the Robert Half 2026 Technology & IT Salary Guide — a widely referenced annual publication covering US market compensation for technology roles.
Annual salary guide covering hundreds of technology roles in the United States. Figures reflect base salary ranges (low/mid/high) and year-on-year growth percentages. Figures are in USD and apply to the US market. Salaries will vary significantly by geography, company size, and specific skills.
roberthalf.com/salary-guide →Salary premiums referenced in the Skill Survival Map (e.g. "AI-augmenting engineers earn 40% salary premiums") are editorial estimates derived from comparing AI-hybrid role ranges against traditional equivalent role ranges in the Robert Half guide and publicly available Levels.fyi and Glassdoor trend data.
Risk scores are derived by synthesising the following inputs:
- WEF Future of Jobs Report 2025 — Net employment change forecasts by occupation group; identifies roles most exposed to AI automation
- McKinsey Global Institute — "The Future of Work After COVID-19" (2021) and subsequent AI and automation labour studies on task-level automation potential
- Goldman Sachs Research — "The Potentially Large Effects of Artificial Intelligence on Economic Growth" (March 2023); estimates ~300M jobs exposed to automation
- OECD Employment Outlook — Annual reports on AI's impact on labour markets and occupational skill requirements
- Gartner Hype Cycle for Artificial Intelligence — Enterprise AI adoption curve and productivity impact timelines
- Live job market signals — Demand trends observed from real-time job listing data (see Section 2)
- ReSkillMap editorial analysis — Task decomposition of each role to assess what percentage of day-to-day work is automatable by current AI capabilities (as of 2025–2026)
The 15 roles tracked were selected to represent the most common IT career paths in enterprise software organisations. Risk scores are reviewed and updated when significant new research or market signals emerge.
The following table documents the source or derivation of each headline statistic displayed on the platform.
| Statistic | Source / Derivation |
|---|---|
| 38% of IT roles at high risk |
ReSkillMap analysis 6 of 15 tracked roles score 55%+ risk. Weighted by approximate IT workforce headcount distribution, ~38% of typical IT department headcount falls in high-risk categories. |
| +2.4M new AI-hybrid roles by 2030 |
WEF Future of Jobs Report 2025 World Economic Forum projection for net new technology-adjacent roles created by AI adoption across surveyed organisations globally. |
| 40% salary premiums for AI-augmenting engineers |
Editorial estimate Derived by comparing AI/ML and AI-hybrid role salary ranges versus traditional equivalent roles in the Robert Half 2026 guide and Levels.fyi compensation data. |
| 12–18 month reskilling window |
Editorial estimate Based on current pace of AI tool enterprise adoption (Gartner) and typical role transformation timelines observed in historical automation cycles (McKinsey GI). |
| Manual QA: 88% displacement risk by 2028 |
ReSkillMap analysis Task decomposition shows >85% of manual QA activities (test case writing, regression execution, bug reporting) are automatable by current LLM-based test generation tools (e.g. CodiumAI, Testim AI, GitHub Copilot). |
| +65% SDET demand growth 2026–2030 |
ReSkillMap forecast Projection based on live job listing trend data (Section 2) and WEF net job creation forecasts for software quality roles requiring coding skills. |
| +120% AI Quality Architect demand surge |
ReSkillMap forecast Emerging role projection based on current job listing velocity for "AI quality", "LLM evaluation", and "AI testing" keywords tracked via live API data. |
| 74% enterprises adopting AI test generation by end 2026 |
Gartner Gartner AI in Software Engineering research on enterprise adoption of AI-assisted testing and code generation tools. |
| Chatbots replacing 80% of support tickets |
Gartner / Forrester IT service desk automation research from Gartner and Forrester indicating tier-1 helpdesk query deflection rates achievable with conversational AI. |
| AI/ML Engineer salary $134K–$193K (+22% YoY) |
Robert Half 2026 Robert Half 2026 Technology & IT Salary Guide — US market figures, base salary only. |
Alison is a free online learning platform offering CPD (Continuing Professional Development) UK-accredited courses and diplomas. Courses are free to study; a shareable certificate is awarded on achieving 80%+ in the assessment. An optional printed/digital copy is available from ~£5.
ReSkillMap participates in the Alison affiliate programme. Course links include affiliate tracking parameters. ReSkillMap may earn a small commission if you purchase a printed certificate — this does not affect course selection or recommendations.
alison.com →Selected tutorial videos from established technology educators (freeCodeCamp.org, TechWorld with Nana, NetworkChuck, and others). All linked content is publicly available and free to watch. ReSkillMap has no affiliate relationship with YouTube or linked creators.
youtube.com →ReSkillMap is not affiliated with, endorsed by, or sponsored by Robert Half, the World Economic Forum, McKinsey & Company, Goldman Sachs, Gartner, Forrester, Remotive, LinkedIn, Exa.ai, or Alison. Third-party names and trademarks are the property of their respective owners and are referenced solely for attribution purposes.
Salary figures are US-market USD unless otherwise stated. Figures in other geographies will differ substantially. Always cross-reference with local market data before making career decisions.
If you have questions about this policy, believe a data attribution is incorrect, or want to report an issue with the platform:
This page will be updated whenever material changes are made to data sources or privacy practices. The "last updated" date at the top of this page reflects the most recent revision.