About AI Economy Hub
60 free tools for pricing the AI economy — no signups, no ads, no data sent to a server.
Why this site exists
AI pricing is genuinely confusing. Token rates vary by 100× across models. Caching can cut your bill by 85% with a single API parameter. The salary premium for AI skills has compressed dramatically since 2023 but still exists in specific pockets. Reskilling bootcamps often have 28-month payback periods that make them bad investments for most people. Job automation risk is task-specific, not role-specific — but almost nobody analyzes it that way.
The decisions that follow from these numbers — which model to use, whether to automate a workflow, how to price an AI product, whether a reskilling investment makes sense — are better when they are grounded in math rather than vendor marketing. AI Economy Hub exists to provide the math.
Every tool on this site runs entirely in your browser. No data is sent to a server, no LLM processes your inputs, and closing the tab discards everything. Calculator inputs often contain sensitive business information — headcount numbers, salary figures, API spend — and that information should stay on your device.
What you will find here
The site covers five domains of AI economics:
- API and token cost: LLM cost calculators, prompt caching savings, token price comparisons across every major provider, embedding costs, vector database costs, GPU inference costs, and RAG pipeline cost. April 2026 pricing from Anthropic, OpenAI, Google, Mistral, xAI, and Cohere.
- Automation ROI: Hours-saved calculators with honest adoption-rate adjustments, AI ROI modeling with one-time vs. recurring cost structure, chatbot deflection savings, copilot productivity gains, email automation ROI, transcription and translation savings, code review ROI, and meeting notes ROI.
- Career and workforce: Job automation risk scoring by task category, AI headcount equivalent calculations, reskilling payback analysis, AI salary premium data by role, freelancer rate calculators, and AI course ROI modeling.
- AI business models: SaaS pricing with gross margin analysis at P50 and P90 user usage, startup runway modeling, compute break-even, AI product launch cost budgeting, consulting rate calculators, newsletter and affiliate revenue modeling.
- Models, tools, and governance: Head-to-head model comparisons (Claude vs GPT-5 vs Gemini), model recommendation advisor, AI coding tool comparisons, prompt builders, AI readiness assessment, adoption roadmap checklists, governance and security checklists, and AI product launch planning.
How to read the numbers
Every calculator uses current provider pricing as of April 2026. Model benchmark scores come from public leaderboards (MMLU-Pro, SWE-bench Verified, AIME 2025, tau-bench). Salary and workforce data comes from publicly available labor market surveys, Bureau of Labor Statistics data, and aggregated industry reports as of Q1 2026.
AI pricing and model capabilities change quickly — sometimes multiple times per quarter. Use these tools to understand the shape of the economics and the relative comparisons between options. Before committing significant resources to a decision based on these figures, verify current numbers against official provider documentation.
The goal of every tool is to help you understand the structure of a decision, not to replace expert judgment. Use the calculators as a starting point, not a final answer.
Content and editorial approach
The articles that accompany each calculator are written from the perspective of an applied economist and career strategist studying AI adoption. They use specific data, cite sources where possible, and aim to be useful to practitioners making real decisions — not optimistic projections designed to sell a product or a narrative.
Where the data is mixed or uncertain, the articles say so. Where vendor claims are inflated compared to production deployments, the articles note the gap. Where the math shows that a popular assumption (e.g., "AI will take everyone's job" or "AI saves 40% of everyone's time") is wrong in a specific and measurable way, the articles make the case.
Part of Digital Dashboard Hub
AI Economy Hub is part of Digital Dashboard Hub, a free suite of 250+ calculators, planners, and trackers spanning finance, health, business, and life events. All tools across both sites run in your browser with no data sent to a server.
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About the Creator
Andy Gaber is a financial technology entrepreneur and the founder of Digital Dashboard Hub, a suite of 250+ free financial tools used by thousands of people monthly. He builds free, accessible tools to help people make better decisions with their money, health, and careers. AI Economy Hub grew from his work tracking how AI adoption is changing the cost structures and workforce economics he covers across the broader platform.
All tools on this site are free and will remain free. There are no premium tiers, no feature gates, and no paywalls. The site is supported by affiliate links (clearly labeled where present) and the broader Digital Dashboard Hub business. If you find a tool useful, the best way to support the site is to share it with someone who would benefit from it.