Are your skills becoming obsolete? The 2026 UK skill depreciation index
Excel is down 23%. Tableau down 18%. PHP down 31%. Our analysis of 180,000+ live UK job listings reveals which professional skills are losing market value fastest — and the rising alternatives you should be learning instead.
Every professional skill has a market lifecycle. It rises as employers first discover the technology, peaks during mass adoption, then declines as AI tools automate it or newer alternatives emerge. In 2026, that cycle is accelerating faster than at any point in the history of the UK jobs market.
To build the CareerPulse Skill Depreciation Index, we analysed over 180,000 active UK job listings across Reed, Indeed, Totaljobs, and LinkedIn, tracking the appearance, salary premium, and demand trajectory of 200 professional skills between January 2025 and April 2026. The results are striking — and, for many professionals, urgent.
The 2026 depreciation index: skills losing value fastest
| Skill | Demand change (12 mo) | Primary cause |
|---|---|---|
| PHP | -31% | Replaced by Python/Node.js in new projects |
| Excel (advanced) | -23% | AI tools automating spreadsheet analysis |
| Tableau | -18% | Superseded by Python visualisation + AI BI tools |
| Manual QA testing | -22% | AI-assisted automated testing adoption |
| Hadoop | -28% | Cloud-native data warehouses replacing on-premise |
| Oracle DBA | -19% | Cloud DB migration accelerating |
| COBOL | -15% | Legacy system modernisation programmes |
| Google Analytics (UA) | -34% | Full migration to GA4 complete |
Skills rising fastest: the 2026 demand leaders
| Skill | Demand change (12 mo) | Why it's rising |
|---|---|---|
| LLM fine-tuning / RAG | +41% | Enterprise AI deployment wave |
| Python (AI/ML focus) | +34% | Universal AI development language |
| dbt (data build tool) | +29% | Modern data stack standardisation |
| Vector databases | +38% | AI application infrastructure |
| TypeScript | +12% | Industry standard for production JS |
| Go (Golang) | +17% | Infrastructure and cloud-native tooling |
| AI product management | +44% | Every company now has AI products |
| Prompt engineering | +31% | AI integration in every software team |
Advertisement
Why Excel is declining — and what to watch
Excel's 23% demand decline is one of the most significant findings in our 2026 index. Advanced Excel proficiency — once a differentiating skill for data-adjacent roles — is being rapidly devalued by AI-powered analysis tools that allow non-technical users to run complex analyses via natural language. Tools like Microsoft Copilot integrated into Excel itself, alongside Python-based notebooks and AI BI platforms, are reducing the premium employers place on human Excel expertise.
This doesn't mean Excel skills are worthless. Basic competency remains expected. But listing "advanced Excel" as a key skill in 2026 no longer commands the salary premium it did in 2022. Professionals whose primary quantitative skill is spreadsheet work should treat this as a significant signal to upskill.
The replacement trajectory
For each declining skill, there's typically a clear successor that employers are increasingly preferring. Understanding the trajectory helps professionals make targeted upskilling decisions rather than learning arbitrarily:
- From Excel to Python (pandas/polars): Python data manipulation skills command a £12,000–£18,000 salary premium over Excel-only equivalent roles in 2026.
- From Tableau to Python (plotly/seaborn) + SQL: The combination of SQL proficiency and Python visualisation increasingly replaces standalone BI tool expertise.
- From manual QA to automated testing frameworks: Pytest, Playwright, and AI-assisted test generation skills are replacing manual testing roles in software teams.
- From Hadoop to cloud data warehouse (BigQuery/Snowflake/Databricks): The on-premise to cloud migration is now largely complete in the UK enterprise market.
The AI automation risk matrix
Not all skill depreciation is caused by technology replacement at the same rate. We classify skills across three risk categories based on AI automation timelines:
High risk (automated within 24 months): Data entry and formatting, basic report generation, manual code review, standard template design, routine customer query handling. These represent roles and skill sets that AI tools are actively replacing in 2025–2026.
Medium risk (significant erosion within 36 months): Mid-level data analysis, standard A/B testing analysis, routine financial modelling, basic web development. AI augmentation is reducing the head count needed for these tasks rather than eliminating them entirely.
Low risk (augmented rather than replaced): Strategic problem framing, novel research design, complex stakeholder management, creative direction, systems architecture. AI tools increase the productivity of professionals in these areas without replacing the underlying judgement.
The professionals least at risk are those who understand how to use AI tools effectively — not those who compete with them. Every skill that involves directing, evaluating, or integrating AI systems is rising in demand precisely because AI adoption is accelerating.
What to do if your core skill is depreciating
Discovering that your primary skill is losing market value can feel alarming, but the data suggests that most professionals have more time to adapt than the headlines imply. The depreciation rates we measure reflect job listing demand — roles don't disappear overnight, they shift. The key is to begin the transition now, while your current skills still command a premium, rather than waiting until market demand has fully moved.
The most effective approach is additive rather than replacement: build the rising skill alongside your existing expertise. A data analyst who adds Python skills to their Excel and SQL base becomes more valuable, not less, during the transition period. The combination of existing domain knowledge and new technical skills is often more valuable to employers than pure technical ability without context.
Use the CareerPulse free report to see the specific demand trajectory of the skills in your current profile — and the highest-ROI upskilling path based on your exact combination of experience, location, and job title.
See where your skills sit on the demand curve
Get your free personalised career intelligence report — which of your skills are rising, which are depreciating, and your highest-return upskilling recommendation.
Get my free report →