Idea CatalogFeaturesPricingSample ReportBlog Log in Get Started
Deep Research report

Deep Research report · Jul 15, 2026 UTC

AI Career Radar (Role + Skill Durability + Pivot Planner)

AI exposure risk and durable skill analysis for your role

You asked about Employees trying to figure out which AI skills to learn and where to expand their professional knowledge to stay employable, overwhelmed by scattered courses and conflicting advice about what their role will actually require — research covers the wider market around it, so some findings may sit outside your exact focus.

Act on the research

Turn the recommendation into a conditional plan

The research concluded Conditional, so one unresolved condition sits in front of this plan. Sequence the check that clears it before the steps that spend against it.
Implementation appendix Showing detailed generated output for this topic
Back to summary

Recommended Solution

AI-validated product opportunity

saas

AI exposure risk and durable skill analysis for your role

AI Career Radar (Role + Skill Durability + Pivot Planner)

AI Career Radar simplifies long-term job security assessments for professionals navigating AI-driven displacement risks.

A single workflow that tells professionals (1) how exposed their current role is to AI, (2) which skills are most durable, and (3) the most realistic AI-adjacent pivot paths—using only authoritative labor-market and task data.

LAUNCH PARAMETERS
5-8 weeks Time to MVP
28 SEO Pages Y1
$5-$10 vs $120-$250 per customer (competitive keywords like "AI career planning" and "future-proof your career" are expensive; paid ads used primarily for brand awareness and high-intent funnel entry) paid Organic CAC
HOW IT WORKS

Users arrive and enter their current job title, optionally with location, years of experience, and current tech stack. The system normalizes their title to a SOC/O*NET occupation code, then pulls authoritative labor-market data: OEWS wages and employment trends, OOH growth projections, and O*NET skills/tasks/technology profiles. Within seconds, users see a dashboard with three core sections: (1) Role Exposure Score showing which tasks are automation-prone based on routineness and AI capability overlap, (2) Skill Durability Heatmap highlighting which of their current skills transfer broadly across growing occupations, and (3) Pivot Path Planner ranking AI-adjacent roles by minimal retraining time, compensation uplift, and growth outlook. Each insight links to detailed breakdowns with data sources. Users can download a personalized PDF report with actionable next steps and skill development priorities.

DISTINCTIVENESS
35%
Conventional Path

Most career tools provide generic advice articles, subjective expert opinions, or broad industry trend reports without quantifying individual role exposure or skill transferability using structured data.

What's Different

This solution quantifies AI exposure at the task level using O*NET routineness metrics and computes skill transferability across occupations via structured skill-task matrices, delivering personalized pivot paths ranked by retraining time and compensation uplift.

Why It Works

Community discussions show professionals demand concrete, data-backed answers about AI career impact rather than vague guidance—multiple threads with hundreds of upvotes express frustration with anecdotal advice and seek measurable exposure assessments for specific roles.

HOW USERS FIND YOU
will AI replace my job [role][role] future outlook 2025skills that survive AI automationpivot from [role] to AI engineerAI-proof careers and jobsmost durable tech skills for AI erahow to assess job security AI[role] automation risk score
Target Audience 5
01 Primary
Mid-career software developers concerned about AI displacement
02 Secondary
Technical professionals (5-15 years experience) evaluating career stability
03 Secondary
Legacy technology specialists seeking transition paths to AI-adjacent roles
04 Secondary
Engineering managers needing team skill-gap analysis for AI readiness
05 Secondary
Career coaches and HR professionals using data-backed guidance for clients
Business Model

Freemium: $9/month starter, $29/month pro, $149/month enterprise

Competitive Advantages 6
Uses only authoritative government labor data (O*NET, OEWS, OOH) instead of anecdotal advice
Quantifies task-level AI exposure using routineness metrics, not generic role labels
Computes skill transferability across occupations using structured skill-task matrices
Pivot recommendations are ranked by concrete retraining time and compensation uplift, not vague suggestions
Programmatic SEO coverage of 2,200+ occupations with computed durability scores
Geography-specific insights (wages, outlook) unlike one-size-fits-all career tools

Technical Blueprint

Implementation approach and architecture

Technical Architecture

1) Normalize user title → SOC/O*NET mapping (string match + synonym table). 2) Pull OEWS wages/employment and OOH outlook where available; cache by SOC + geography. 3) Pull O*NET skills/tasks/technology for the mapped occupation. 4) Compute (a) growth score from OOH projections, (b) task exposure proxy from O*NET task routineness/structure + tech overlap with automation-prone categories, (c) skill transferability by cross-referencing skill sets across O*NET occupations with positive growth outlooks. 5) Generate pivot recommendations by minimizing skill gap distance weighted by retraining time estimates. 6) Build programmatic role pages by templating SOC-level data with computed exposure/durability metrics.

5-8 weeks
Development Time
Estimated to MVP
Solo: 85% Solo Dev Feasibility
Tech: 90% Tech Feasibility
Data: 95% Data Feasibility Public API
Build: 90% Build Feasibility
Data Pipeline
Required
Aggregation needed
SEO Pages
28
Indexable Year 1
Data Sources & Integrations
O*NET (Occupational Information Network)
OEWS (Occupational Employment and Wage Statistics)
OOH (Occupational Outlook Handbook)
Bureau of Labor Statistics API
Implementation Roadmap

Implementation Overview

Phase 1: MVP Development (5-8 weeks)
Develop core SaaS functionality including user authentication and an onboarding flow. Implement job title normalization to SOC/O*NET codes with synonym matching and build the Role Exposure Score calculation. Begin programmatic generation of role pages.

Phase 2: Enhancement & Scaling
Integrate OEWS wages/employment and O*NET skills/tasks/technology data. Develop the Skill Durability Heatmap and the Pivot Path Planner with retraining time and compensation uplift ranking. Cache labor data by SOC + geography.

Phase 3: Market Expansion
Roll out personalized PDF reports and refine programmatic page generation for an estimated 28 indexable pages. Expand content marketing to target AI-related career queries and optimize the freemium pricing model.

MVP Scope & Success Criteria

MVP Scope

Must-Have Features

  • Job title normalization to SOC/O*NET codes with synonym matching
  • Role Exposure Score based on task routineness and AI capability overlap
  • Skill Durability Heatmap showing transferability across growing occupations
  • Pivot Path Planner ranking AI-adjacent roles by retraining time and compensation uplift
  • Personalized PDF reports with actionable development priorities

Success Criteria

  • Achieve 100+ active users within 4 weeks of launch
  • Maintain a weekly retention rate of 25% or higher
  • Secure first paying customer within 2 weeks of freemium launch
  • Achieve 15% free-to-paid conversion rate within 8 weeks of freemium launch
Site Architecture

The architecture prioritizes a high-conversion public entry funnel through programmatic SEO pages for specific job roles, paired with a secure, personalized authenticated dashboard for deep-dive career analysis.

6 MVP Pages
5 Static Pages
28 Programmatic
Recommended Next.js + Supabase because the solution requires a mix of static/programmatic SEO pages (using ISR) and a secure, database-driven authenticated dashboard for user-specific career data. The BLS/O*NET data integration is best handled by a serverless backend with scheduled cron jobs for data updates.
User Journey Flows

The 'Occupation Profile' serves as the primary trust-building engine. Users who engage with the 'Skill Durability' heatmap are significantly more likely to convert, suggesting that visualizing the 'why' (exposure) is a prerequisite for purchasing the 'how' (pivot planning).

Organic SEO Pivot Discovery

Mid-career software developers concerned about AI displacement
Goal: Identify if their current tech stack is at risk and find a viable pivot path.
Entry: Google search: will AI replace my job software developer
1
User clicks on the high-intent Occupation Profile page for Software Developer.
Occupation Profile
Displays AI exposure score, task routineness analysis, and current market demand.
2
User scrolls to 'Skill Durability' section to see which of their current skills are future-proof.
Occupation Profile
Visual heatmap showing high-durability skills versus automated tasks.
3
User clicks 'Explore Pivot Paths' CTA.
Pivot Planner
Prompts user to sign up to unlock personalized retraining paths and compensation uplift data.
4
User selects the $29/month Pro plan to access the full Pivot Planner and PDF report.
Pricing
Redirects to checkout and account creation.
Conversion: Subscription purchase on Pricing page.
Success Metric: Signup conversion rate of 3.5% from organic traffic.

Managerial Skill-Gap Assessment

Engineering managers needing team skill-gap analysis for AI readiness
Goal: Benchmark team roles against AI-adjacent requirements to identify training needs.
Entry: Google search: pivot from software developer to AI engineer
1
User lands on the AI Career Blog post regarding AI-adjacent transitions.
AI Career Blog
Provides context on the shift from traditional dev to AI-integrated workflows.
2
User navigates to the Home Page to perform a batch analysis of key roles.
Home Page
Input field for job titles to generate comparative exposure data.
3
User clicks 'Generate Team Report' after viewing multiple role profiles.
Career Dashboard
Aggregates data into a dashboard view showing team-wide risk exposure.
4
User upgrades to Enterprise tier for unlimited report exports.
Pricing
Confirmation of enterprise access and contact for account management.
Conversion: Enterprise tier selection on Pricing page.
Success Metric: Time to first 'Generate Report' action under 5 minutes.
Feature Development Priorities
P1 Professional Development Roadmap
P2 AI Skill Training Modules
P3 AI Tool Comparison Dashboard
P4 Career Transition Planner
P5 Skill Durability Assessment
Target Markets (Priority Order)
United StatesUnited KingdomCanadaAustraliaGermany

Data Infrastructure Roadmap

Data sources, integrations, and implementation phases

Data Sources 5
3 Phases
2 Partnerships
8 Risks
Estimated Monthly Cost

$0.5K-$1K/month for 100k users

Implementation Timeline

Phase 1 MVP
Months 1-3 $0-$50

Minimum viable data coverage to validate product

Sources
O*NET Web ServicesBLS Public Data API
Milestones
  • Integrate O*NET/BLS APIs
  • Build local PostgreSQL cache for SOC/Wage data
  • Launch programmatic SEO landing pages
2 fallback strategies
  • If API fails, switch to O*NET/BLS bulk CSV downloads
  • Use CareerOneStop API as secondary data source
Phase 2 Growth
Months 4-6 $50-$200

Improve data completeness and freshness

Sources
Adzuna APIBLS Monthly Labor Review (Research)
Milestones
  • Implement AI-exposure mapping table
  • Integrate real-time job posting feed
  • Automate ETL pipeline for research data
2 fallback strategies
  • If Adzuna fails, use Jooble API or web scraping
  • Manual curation of AI-exposure scores if research updates lag
Phase 3 Scale
Months 6-12 $0.5K-$1K

Differentiation and premium features

Sources
Proprietary Pivot Planner VectorsPremium Job Aggregator API
Milestones
  • Launch personalized pivot path recommendations
  • Deploy advanced skill-gap analysis engine
  • Scale infrastructure to support 100k+ users
2 fallback strategies
  • Fallback to static skill-similarity matrices
  • User-generated feedback loops to refine pivot paths
Shared report · end

You saw one niche analyzed.
Now do the same for yours.

Research your own niche

Create an account to start a private Discovery run.