TECH & IA24 mai 2026· 16 min
AI Due Diligence: Complete Methodology for Investment Funds in 2024
A rigorous, data-driven framework for evaluating AI companies before investment — covering technical stack assessment, talent density scoring, moat analysis, and red-flag detection. Actionable for GPs, LPs, and deal teams.
SOURCES
[1]PitchBook Q4 2023 Venture Monitor: AI & Machine Learning Sector Report
[2]Stanford HAI Artificial Intelligence Index Report 2024 — Stanford University Human-Centered AI Institute
[3]McKinsey Global Institute: 'The State of AI in 2024: GenAI Adoption and Value Creation', McKinsey & Company, March 2024
[4]a16z: 'The Cost of AI: Inference Economics and Gross Margin Benchmarks', Andreessen Horowitz, 2024
[5]Epoch AI: 'Compute Trends Across Three Eras of Machine Learning', Epoch AI Research, 2024
[6]EU AI Act Official Journal of the European Union, Regulation (EU) 2024/1689, August 2024
[7]LinkedIn Talent Insights: 'AI & Machine Learning Talent Trends Report 2024', LinkedIn Economic Graph
[8]Gartner Magic Quadrant for CRM Customer Engagement Center 2023, Gartner Inc.
[9]CB Insights: 'State of AI 2024 Report', CB Insights Research
[10]Bloomberg Intelligence: 'AI Software Sector Deep Dive — R&D Spend & Margin Analysis', Bloomberg L.P., 2024