Personalized AI Job Replacement Risk Diagnosis

3.75

Derivation Chain

Step 1 Advancement of AI agent technology

→

Step 2 AI replacement anxiety among office workers in their 50s

→

Step 3 Lack of specific diagnosis on which parts of one's work could be replaced by AI

Problem

Office workers in their 50s feel anxious about their jobs being replaced by AI every time they see 'agentic AI' news, but it's just a vague fear—they have no tool to objectively determine which specific tasks in their work are at risk. Searching online for 'AI replacement job rankings' only yields generalities by occupation, and there is no service that tells you, for example, which 3 of the 12 tasks performed by a 55-year-old quality control manager in manufacturing could be automated within 2-3 years.

Solution

A web tool that, when you input your occupation, job level, and responsibilities at a detailed task level, diagnoses the AI automation potential (high/medium/low) for each task and provides specific guidance on what to prepare now. Key features: (1) Input of task breakdown (e.g., report writing, data analysis, meeting coordination, etc.), (2) 3-level AI replacement risk assessment per task with explanation of reasoning, (3) Risk task response strategies (skill transition and complementary capability recommendations) and connection to learning resources.

Target: Office workers aged 48-58 at large and mid-sized companies (manager to director level), planning to work 5-10 more years at their current job, who feel anxious about AI news but don't know what specific actions to take.

Revenue Model: Free basic diagnosis (5 tasks). Premium one-time diagnosis at 9,900 KRW (approx. $7.43): full work diagnosis + personalized skill transition roadmap PDF + re-diagnosis after 3 months.

Ecosystem Role: Supplier

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

2.0/5

U Urgency

5.0/5

M Market

4.0/5

R Realizability

4.0/5

V Validation

4.0/5

NUMR-V Scoring System

N Novelty	1-5	How uncommon the service is in market context.
U Urgency	1-5	How urgently users need this problem solved now.
M Market	1-5	Market size and growth potential from proxy indicators.
R Realizability	1-5	Buildability for a small team with realistic constraints.
V Validation	1-5	Validation signal quality from competition and demand data.

N=.15 U=.20 M=.15 R=.30 V=.20

Feasibility (70%)

Tech Complexity

29.3/40

Data Availability

20.4/25

MVP Timeline

20.0/20

API Bonus

0.0/15

Feasibility Breakdown

Tech Complexity	/ 40	Difficulty of core implementation stack.
Data Availability	/ 25	Practical availability and cost of required data.
MVP Timeline	/ 20	Expected time to ship a usable MVP.
API Bonus	/ 15	Bonus for viable public API leverage.

Market Validation (58/100)

Competition

8.0/20

Market Demand

6.2/20

Timing

16.0/20

Revenue Signals

10.5/15

Pick-Axe Fit

10.5/15

Solo Buildability

7.0/10

Validation Breakdown

Competition	/ 20	Signal quality from competitor landscape.
Market Demand	/ 20	Demand proxies from search and mention patterns.
Timing	/ 20	Fit with current shifts in tech, behavior, and regulation.
Revenue Signals	/ 15	Reference evidence for monetization viability.
Pick-Axe Fit	/ 15	How well the concept serves participants in a trend.
Solo Buildability	/ 10	Practicality for lean-team implementation.

Technical Requirements

Frontend [medium] Backend [medium] Data Pipeline [low]

Dashboard