Venture Capital Reform II: The Hidden Risks of Traditional Investment Screening

This paper is the second installment of From Passive Selection to Active Discovery, a research series examining structural limitations in venture capital investment selection and value recognition. Drawing on practical engagement with investment institutions, innovation-support organizations, and technology validation channels, the paper examines how conventional screening criteria, including existing customers, revenue, established teams, commercial readiness, and independent validation, may obscure underlying technological, competitive, and structural investment risks. Historical venture return distributions, venture fund vintage benchmarks, and selected institutional investment outcomes provide the empirical context. HAS-CORE, an independently developed lightweight AI safety infrastructure, serves as a practical case for examining the relationship between commercial maturity, technical validation, and potential future value. The paper argues for a structural re-examination of investment selection mechanisms while reserving detailed reform methodologies for professional advisory and research collaboration.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-29
DOI
https://doi.org/10.5281/zenodo.23754570
Primary Topic
Private Equity and Venture Capital
Type
preprint
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preprint

Venture Capital Reform II: The Hidden Risks of Traditional Investment Screening

Qingyun Hu-Yang
Zenodo (CERN European Organization for Nuclear Research)
Private Equity and Venture Capital
preprint

Venture Capital Reform II: The Hidden Risks of Traditional Investment Screening

Qingyun Hu-Yang
preprint en

Abstract

This paper is the second installment of From Passive Selection to Active Discovery, a research series examining structural limitations in venture capital investment selection and value recognition. Drawing on practical engagement with investment institutions, innovation-support organizations, and technology validation channels, the paper examines how conventional screening criteria, including existing customers, revenue, established teams, commercial readiness, and independent validation, may obscure underlying technological, competitive, and structural investment risks. Historical venture return distributions, venture fund vintage benchmarks, and selected institutional investment outcomes provide the empirical context. HAS-CORE, an independently developed lightweight AI safety infrastructure, serves as a practical case for examining the relationship between commercial maturity, technical validation, and potential future value. The paper argues for a structural re-examination of investment selection mechanisms while reserving detailed reform methodologies for professional advisory and research collaboration.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Private Equity and Venture Capital
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