# RiskQuiz — AI Job Replacement Risk Assessment (Full Context)

> A free, research-backed assessment measuring your personal risk of AI job displacement.
> 800+ occupations analyzed. 9 dimensions. 6 languages. 90 seconds to complete.

## Introduction

RiskQuiz is a free assessment tool that measures your personal risk of AI job displacement. The conversation around AI and employment is stuck between two extremes: blind panic and empty reassurance. RiskQuiz exists to provide a clear, data-driven picture of where you actually stand — and what you can do about it.

The tool is designed for anyone who works — from electricians to software developers, from teachers to data entry clerks. It takes 90 seconds to complete and produces a 0–100 risk score based on 9 research-backed dimensions.

RiskQuiz offers two tiers:
- **Free tier**: Complete risk score, risk label, vulnerability factors, strength factors, one-liner summary, and comparative data.
- **Paid report (€6.99 standard / €9.99 premium)**: 4-week action plan, AI-proof profile analysis, blind spots identification, skill recommendations, tool recommendations, and growth directions.

## Methodology

### The 9 Dimensions of AI Risk

#### 1. Task Routinization
- **What it measures**: How predictable and repetitive your daily tasks are
- **Why it matters**: Routine, rule-based tasks are the easiest for AI to automate. Workers with highly repetitive workflows face the earliest displacement risk.
- **How it's scored**: 0–100, where higher routine = higher risk
- **Examples**: Data entry clerks score high (80–95); emergency room doctors score low (10–25)

#### 2. Physical Presence
- **What it measures**: Whether your job requires you to be physically present
- **Why it matters**: AI excels at digital tasks. Roles requiring a physical body — construction, nursing, repair work — have a natural shield against full automation.
- **How it's scored**: 0–100, where fully digital/remote = higher risk
- **Examples**: Electricians score low risk (10–20); remote data analysts score higher (60–75)

#### 3. Human Interaction Depth
- **What it measures**: How central human relationships are to your work
- **Why it matters**: Deep interpersonal work — therapy, mentoring, complex sales negotiations — requires emotional intelligence, trust, and rapport that AI cannot replicate at human depth.
- **How it's scored**: 0–100, where minimal interaction = higher risk
- **Examples**: Therapists score low risk (5–15); solo data processors score higher (70–85)

#### 4. Industry AI Adoption Speed
- **What it measures**: How aggressively your industry is adopting AI tools and automation
- **Why it matters**: Industries with aggressive AI adoption will see displacement sooner. The gap between early-adopting industries (tech, finance) and late adopters (construction, government) can be 5–10 years.
- **How it's scored**: 0–100, where aggressive adoption = higher risk
- **Examples**: Tech/software workers face faster timelines; construction workers have more runway

#### 5. Decision Complexity
- **What it measures**: How much judgment, nuance, ambiguity, and contextual reasoning your decisions require
- **Why it matters**: AI performs well on well-defined problems with clear inputs and outputs. Roles requiring judgment under genuine ambiguity — strategic decisions, crisis management, ethical dilemmas — remain difficult to automate.
- **How it's scored**: 0–100, where simple/rule-based decisions = higher risk
- **Examples**: Strategic consultants score low risk; rules-based compliance checking scores higher

#### 6. Creative Requirements
- **What it measures**: Whether your role demands original creative output
- **Why it matters**: While AI can generate text, images, and code, roles requiring genuine creative vision, artistic direction, and novel problem-solving retain human advantage — at least in the near term.
- **How it's scored**: 0–100, where template-based output = higher risk
- **Examples**: Creative directors score lower risk; template-based report writers score higher

#### 7. Regulatory Constraints
- **What it measures**: Whether legal, compliance, or regulatory barriers slow automation in your field
- **Why it matters**: Some industries (healthcare, legal, aviation) have strict regulations about who can perform certain tasks. These regulations create temporary shields against automation, even when the technical capability exists.
- **How it's scored**: 0–100, where unregulated = higher risk
- **Examples**: Licensed physicians have strong regulatory protection; freelance content writers have minimal

#### 8. Adaptability Signal
- **What it measures**: How quickly you adopt new technology
- **Why it matters**: Workers who are early adopters of AI tools tend to use AI as a complement rather than a replacement. Adaptability is one of the strongest personal factors in AI resilience.
- **How it's scored**: 0–100, where tech-resistant = higher risk
- **Examples**: Early adopters who learn AI tools proactively score lower risk

#### 9. Growth Mindset
- **What it measures**: Your psychological response to disruption and change
- **Why it matters**: Workers who see AI disruption as an opportunity to focus on higher-value work fare better than those who respond with panic or resistance. Mindset is a meaningful predictor of adaptive outcomes.
- **How it's scored**: 0–100, where panic/resistance = higher risk
- **Examples**: Workers already learning AI skills score lowest risk; those who would feel lost score highest

### Scoring Algorithm

The 9 dimensions are weighted based on research literature and combined to produce a final 0–100 risk score. Weights are not equal — task routinization and decision complexity carry more weight than adaptability signals, reflecting the structural nature of displacement risk versus personal factors.

The final score maps to five risk tiers: Low Risk (0–20), Moderate Risk (21–40), Elevated Risk (41–60), High Risk (61–80), and Critical Risk (81–100).

### Data Sources & Validation

- **Anthropic**: AI safety research on model capabilities, task automation potential, and responsible deployment
- **International Labour Organization (ILO)**: International Standard Classification of Occupations (ISCO), global employment statistics, displacement trend reports
- **OECD**: Employment outlook reports, skills strategy data, AI policy briefs, automation exposure estimates
- **World Economic Forum (WEF)**: Future of Jobs Report, Global Risks Report, workforce transformation data
- **O*NET**: Detailed occupational information for 900+ occupations including task descriptions, skills requirements, and work context
- **U.S. Bureau of Labor Statistics (BLS)**: Occupational Employment and Wage Statistics, job growth projections, industry employment data

### Assumptions & Limitations

- The quiz measures **risk exposure**, not certainty of job loss. A high score means vulnerability to displacement, not a prediction that you will lose your job.
- The model focuses on **current AI capabilities and near-term trajectories** (1–5 years). Longer-term predictions are inherently unreliable.
- **Individual variation matters**: Two people with the same job title may have very different risk profiles depending on how they perform the role.
- The quiz does not account for **company-specific factors** (your employer's AI strategy, budget, or culture).
- **Regulatory landscapes change**: Current regulatory protections may weaken or strengthen over time.
- Data sources are primarily weighted toward **Western economies**. Applicability to other markets may vary.

## Score Interpretation Guide

### Understanding Your Score

#### 0–20: Low Risk
- **What this means**: Your role has multiple structural protections against AI replacement — physical presence requirements, deep human relationships, regulatory barriers, or highly unpredictable work environments.
- **Key factors**: Roles that require a body, a license, and deep trust tend to cluster here.
- **Recommended actions**: Continue building expertise. Explore AI tools as productivity enhancers. Your role is likely safe in the medium term.
- **Example occupations**: Electricians, plumbers, therapists, emergency nurses, firefighters

#### 21–40: Low-Moderate Risk
- **What this means**: Some exposure to AI disruption, but your unique strengths provide resilience. You likely have at least one strong protective factor.
- **Key factors**: Roles with significant human interaction, some physical presence, or specialized expertise.
- **Recommended actions**: Identify which parts of your role are most automatable and proactively upskill in the non-automatable parts.
- **Example occupations**: Teachers, managers, sales professionals, skilled technicians

#### 41–60: Moderate Risk
- **What this means**: Significant exposure to AI disruption. Parts of your role can likely be automated within 2–5 years.
- **Key factors**: Mixed routine and non-routine tasks. Industry is actively adopting AI. Some decisions are rule-based.
- **Recommended actions**: Start learning AI tools now. Focus on the judgment, creativity, and relationship aspects of your role. Consider specializing.
- **Example occupations**: Marketing managers, junior developers, financial analysts, HR generalists

#### 61–80: Moderate-High Risk
- **What this means**: High exposure to AI displacement. A significant portion of your daily tasks are automatable with current or near-term AI.
- **Key factors**: High routine, low physical presence, digital-first work, industry adopting AI aggressively.
- **Recommended actions**: Proactive adaptation recommended. Develop complementary skills. Explore adjacent roles with lower automation exposure.
- **Example occupations**: Data entry clerks, bookkeepers, basic content writers, standard report analysts

#### 81–100: High Risk
- **What this means**: Significant threat of displacement. Most core tasks in your role are automatable or are being actively automated.
- **Key factors**: Highly routine, fully digital, minimal human interaction, unregulated, pattern-based decisions.
- **Recommended actions**: Immediate reskilling recommended. Consider career pivots to roles with more human-centric or physically present work.
- **Example occupations**: Data entry at scale, template-based document processing, routine classification work

## Quiz Structure

### Question Format

The quiz presents 8 multiple-choice questions. Each question maps to one or more of the 9 dimensions. Users select the answer that best describes their work situation. There are no right or wrong answers — the quiz is measuring characteristics of the role, not testing knowledge.

### Questions Covered

1. **Work type** — What do you do for a living? (10 role categories)
2. **Industry** — What industry do you work in? (8 industry categories)
3. **Country** — Where are you based? (13 geography options)
4. **Routine level** — How predictable is your typical workday? (5 levels)
5. **Physical presence** — Does your job need you physically present? (5 levels)
6. **Human interaction** — How much of your job is about people? (4 levels)
7. **Industry AI adoption** — How fast is AI hitting your industry? (5 levels)
8. **Adaptability** — New tech drops at work. You... (5 response types)
9. **AI response mindset** — If AI could do 50% of your current tasks, what would you do? (5 response types)

## FAQ — Frequently Asked Questions

### What is AI job replacement?

AI job replacement refers to the displacement of human workers by artificial intelligence systems that can perform the same tasks faster, cheaper, or more consistently. This includes direct replacement (AI doing the entire job) and partial displacement (AI automating enough tasks that fewer workers are needed).

### Does a high score mean I'll definitely lose my job?

No. A high risk score indicates vulnerability to AI displacement, not certainty. It means that the structural characteristics of your role — routine tasks, digital-first work, minimal human interaction — make it more exposed to automation. Many high-risk workers can reduce their risk through proactive upskilling, specialization, and adaptation. The score is an early warning system, not a prediction.

### How often is the data updated?

The underlying research data is reviewed quarterly. The scoring model is updated when significant new research is published from our primary sources (Anthropic, ILO, OECD, WEF, BLS). Major model updates are noted on the methodology page.

### Can I download my report?

Yes. The free tier provides an on-screen risk score with vulnerability and strength factors. The paid report (€6.99 standard, €9.99 premium) includes a downloadable 4-week action plan, AI-proof profile analysis, blind spots, skill recommendations, tool recommendations, and growth directions. Reports are delivered via email.

### How is my data used?

RiskQuiz does not store your quiz answers permanently. Quiz responses are processed in real-time to generate your score and are not retained after the session. We do not sell data. Anonymous, aggregated statistics may be used to improve the scoring model. See our privacy policy at https://riskquiz.me/privacy for full details.

### Is this available in my language?

RiskQuiz is available in 6 languages: English, Français (French), Deutsch (German), Español (Spanish), Lietuvių (Lithuanian), and Українська (Ukrainian). The language is auto-detected from your browser settings but can be changed manually on any page.

### How can I suggest an occupation that's missing?

Contact us at riskquizme@gmail.com with the occupation name, a brief description of what the role involves, and any relevant data sources. We review suggestions monthly.

## Key Pages & Routes

- Home: https://riskquiz.me
- Quiz (EN): https://riskquiz.me/quiz
- Quiz (FR): https://riskquiz.me/fr/quiz
- Quiz (DE): https://riskquiz.me/de/quiz
- Quiz (ES): https://riskquiz.me/es/quiz
- Quiz (LT): https://riskquiz.me/lt/quiz
- Quiz (UK): https://riskquiz.me/uk/quiz
- Methodology: https://riskquiz.me/methodology
- About: https://riskquiz.me/about
- Blog: https://riskquiz.me/blog
- Privacy: https://riskquiz.me/privacy
- Terms: https://riskquiz.me/terms

## Blog

Future blog posts will cover:
- AI displacement in specific industries (accounting, software development, healthcare, education)
- Strategies for reskilling and career adaptation
- Case studies of occupations adapting to AI integration
- Research findings and methodology updates
- Analysis of new AI capabilities and their employment implications

Blog launches April 2026.

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*Last updated: 2026-04-01*
*RiskQuiz is a free, open-participation assessment tool.*