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AI Economy Scenario Planner
Build a web app that lets users model AI adoption, labor displacement, wage pressure, and redistribution scenarios with transparent assumptions. The strongest buyer is not the average consumer but policy teams, think tanks, labor groups, and strategy functions that need fast what-if analysis without building custom models.
Why this matters
You are trying to make sense of AI's economic impact, but every article seems to start from different assumptions and end in a political fight. If you work in policy, advocacy, or strategy, you need to compare outcomes such as job displacement, income concentration, and tax responses without waiting months for a commissioned report. Existing sources give you opinions, not a structured way to test inputs and show tradeoffs. You end up stitching together spreadsheets, research papers, and public commentary just to answer basic questions about which sectors are most exposed and what interventions might reduce instability.
- · Built for Policy researchers, labor organizations, economic think tanks, public-interest groups, and corporate strategy teams evaluating AI's labor-market impact..
- · Most likely monetization: SaaS subscription.
The Pain · Narrative
You are trying to make sense of AI's economic impact, but every article seems to start from different assumptions and end in a political fight. If you work in policy, advocacy, or strategy, you need to compare outcomes such as job displacement, income concentration, and tax responses without waiting months for a commissioned report. Existing sources give you opinions, not a structured way to test inputs and show tradeoffs. You end up stitching together spreadsheets, research papers, and public commentary just to answer basic questions about which sectors are most exposed and what interventions might reduce instability.
Score Breakdown
Market Signal
Go-to-Market
Small policy and research teams focused on labor markets, inequality, or AI governance that need fast scenario outputs for memos and presentations.
~20K-50K institutional knowledge workers globally
cold outbound
$199/month
10 paying teams using the tool for recurring internal briefs within 30 days
MVP Scope · 1–2 weeks
- Define 8-10 core variables such as automation rate, wage elasticity, productivity uplift, and transfer mechanisms
- Design a simple web interface for adjusting assumptions and viewing outputs
- Ingest one public macro dataset and one occupational dataset
- Build a basic simulation engine with transparent formulas and caveats
- Create three starter templates for optimistic, baseline, and high-displacement scenarios
- Add chart exports and downloadable one-page policy briefs
- Implement saved scenarios and side-by-side comparison views
- Add citations panel showing data provenance and assumptions
- Run interviews with 10 prospective users from policy and research teams
- Set up billing, onboarding, and a private pilot waitlist
Differentiation
Why This Might Fail
Self-rebuttal — the most important trust signal
- 1The strongest buyers may prefer bespoke consulting-grade models and reject a lightweight SaaS as too simplistic.
- 2Economic forecasting is inherently uncertain, so users may not trust outputs enough to pay unless credibility is exceptionally strong.
- 3The market could view the tool as politically loaded, reducing adoption across institutions with mixed stakeholders.
Evidence Summary
How AI synthesized this insight — no verbatim quotes
A large share of the discussion centered on whether AI could undermine jobs, purchasing power, and social stability. Several participants also argued that practical policy responses are needed, while others highlighted distrust in institutions. This points to demand for structured scenario exploration rather than more essays, especially among organizations that already publish analysis or need defensible internal planning materials.
Action Plan
Validate this opportunity before writing code
Recommended Next Step
Build
Strong demand signals detected. Real pain, real willingness to pay — start building an MVP.
Landing Page Copy Kit
Ready-to-paste copy based on real Reddit community language — no editing required
Headline
AI Economy Scenario Planner
Sub-headline
Build a web app that lets users model AI adoption, labor displacement, wage pressure, and redistribution scenarios with transparent assumptions. The strongest buyer is not the average consumer but policy teams, think tanks, labor groups, and strategy functions that need fast what-if analysis without building custom models.
Who It's For
For Policy researchers, labor organizations, economic think tanks, public-interest groups, and corporate strategy teams evaluating AI's labor-market impact.
Feature List
✓ interactive scenario builder for automation, wages, productivity, and taxation assumptions ✓ sector-level impact dashboards ✓ policy comparison outputs with exportable charts and briefs
Where to Validate
Share your landing page in r/HN · front_page — that's exactly where these pain points were discovered.
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