AI Economics for EdTech
EdTech platforms face the unique challenge of serving millions of concurrent users during school hours while maintaining accessibility, privacy compliance, and pedagogical integrity. The economics are unforgiving.
Content Delivery Debt
Video streaming and real-time collaboration create infrastructure costs that scale non-linearly with student growth.
AI Tutor Governance
AI tutors must be pedagogically sound and bias-free. Errors in educational AI directly impact student learning outcomes.
Accessibility Requirements
ADA and WCAG compliance create significant engineering overhead. EdTech products must support all learners and adaptive devices.
FERPA & COPPA
Student data privacy laws (FERPA, COPPA) create strict data handling requirements. Non-compliance risks institutional access.
How I Help EdTech Companies
- → Quantify content delivery and infrastructure debt as platform scales
- → Audit AI tutor models for pedagogical accuracy and age-appropriateness
- → Calculate the engineering cost of accessibility and privacy compliance
- → Model unit economics for freemium-to-institutional conversion funnels
Need a sector-specific audit?
I run R&D capital audits tailored to your industry's cost structures, compliance requirements, and scaling patterns.
Richard Ewing — AI Economist & Capital Auditor