研究筆記。
我們在 AI 整合領域閱讀什麼、如何理解，以及這些研究如何改變我們執行案件的方式。精選，非定期。
每一篇筆記都引用原始來源。完整參考文獻見 參考文獻頁。目前筆記內文以英文為主，繁體中文版本陸續上線中。
回應 · 2026年10月13日 · EN
The AI backlash is mostly a rollout backlash
Glassdoor's analysis of US employer reviews finds AI mentions up 240% in a year and now mostly negative. Job loss is one complaint in five. The rest is about how AI was put in front of people, which is the part an employer controls.
以英文閱讀回應 · 2026年10月5日 · EN
The most popular AI use cases are rarely the ones that pay back
Gartner's September survey of 1,303 leaders found only 22% have scaled AI, and the use cases leaders pursue most are rarely the ones reporting the best returns. We read it as an argument for choosing from the workflow.
以英文閱讀回應 · 2026年5月19日 · EN
Anthropic's 4D AI Fluency model — what it gets right, and where it stops
The 4D model captures the cognitive shift behind effective AI use better than most. The piece it doesn't address is what happens when a fluent individual sits inside an organization that hasn't done the adoption work.
以英文閱讀綜合 · 2026年5月19日 · EN
What Brynjolfsson 2025 means for who you train first
The empirics on who actually gains from AI assistance are sharper than the conventional pilot heuristic admits, and they argue for sequencing training the opposite of how most rollouts approach it.
以英文閱讀立場 · 2026年5月19日 · EN
Why we don't pilot with the most senior team
The conventional advice is to start AI pilots with the most senior cohort to build executive buy-in. The data says that cohort gains the least from AI assistance. We do the opposite.
以英文閱讀