# 埃森·莫里克：AI 或可解答创业学未解难题

- 来源：Ethan Mollick (@emollick)
- 发布时间：2026-08-03 06:23
- AIHOT 分数：39
- AIHOT 链接：https://aihot.virxact.com/items/cmscdk1q004diroeu04zdsciu
- 原文链接：https://x.com/emollick/status/2084042395705094326

## AI 摘要

沃顿教授埃森·莫里克指出，数学之外许多领域同样存在未解难题，若 AI 足够强大，或可实证解答并创造巨大社会价值。他以创业学为例，列举了创业成功成因、增长可预测性、干预措施有效性等未解问题，认为 AI 有望在这些领域带来突破。

## 正文

Math gets a lot of attention for its unsolved problems， but there unresolved & important problems in many fields that could potentially be addressed empirically， if AI truly got good enough. Problems that， if solved， would bring large value to society.

For example， I study entrepreneurship and some unresolved great questions include：

What causes entrepreneurial success rather than merely being correlated with it？

Is exceptional growth meaningfully predictable， or is it largely an emergent， path-dependent outcome that can only be detected after it begins？

Which ideas should be pursued， by which people， using which actions， under which circumstances？ When should they stop？

What skills can we teach that meaningfully improve entrepreneurial success？

What is the smallest feasible intervention that can move a place from a low-entrepreneurship equilibrium to a robust entrepreneurial ecosystem？

What processes cause some firms to become less adaptable as they grow while others stay flexible？

Which elements of other firms must a startup imitate and which may it violate？