Welcome to the New Economy Driven by Artificial Intelligence
Seven-Layer Framework of the Knowledge-Production Stack
How will you use the simulator today?
Four modes, designed for different needs. Switch between them at any time.
Explore the framework
See how the model behaves using the paper's case companies (NeuroCertify, DataFlow Pro). All figures from Appendices A through G are reproducible. Interact with K₇, AI substitution potential, and TRL parameters.
Value your company
Unified 11-step workflow. Pick your segment (subscription / marketplace / hardware / services / license); fill segment-aware revenue and costs; set capital structure, layer profile, TRL assessment and funding round; run the segment DCF + multiples alongside the four-path framework lens (classical · layered · two-phase · dual-channel) on the same page. The headline — the commoditization premium (Layered A − Classical Damodaran) — renders live for your firm.
Defend your project
Build the business case for a project inside an existing company. The 11-step workflow trims to 9 — same revenue, costs, layer profile and TRL, but capital comes from a corporate-WACC + project-risk uplift, funding round is dropped, and the output is a board memo with NPV, IRR, payback and a commoditization risk register, not a cap table.
Teach a cohort
Run a class for university students or a corporate training cohort. Instructors create assignments from preset case studies (NeuroCertify, DataFlow Pro) or custom ones, students clone them, submit, and the instructor compares submissions side by side. Useful for graduate finance and entrepreneurship courses, and for L&D programs that train teams to defend projects facing AI commoditization.
The Cost Gradient of the Build
How differential commoditization reshapes entrepreneurship and valuation:
a layer-decomposed risk premium for the post-AI firm
Not sure where to start?
The Explore mode renders every figure of the paper. Use it to understand the framework before configuring your own valuation.