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13 January 2026

Former Google Chief Decision Scientist Cassie Kozyrkov on AI, Decisions, and Human Responsibility

1Frameworks
6Insights

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Skilled Wisher AI Delegation

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Insights & moments

The myth-busts, hot takes, explainers, and tools worth keeping.

Hot Take· 2

Hot Take

Information Matters Only When It Connects to Action

Kozyrkov challenges the assumption that data is inherently valuable. Her test is practical: if information is not connected to an action, its existence may not matter to the decision at all.

  • Data has no automatic decision value
  • Information becomes useful through its connection to action
  • Organizations should ask what a data point could actually change

“If a data point falls in a forest, does anybody care? And if information isn't connected to action, does it matter?”

Cassie Kozyrkov
#data#action#decisions
Hot Take

Calling Every Company an AI Company Raises a Leadership Problem

The conversation questions the rush for companies to call themselves AI companies. The important issue is whether the leaders adopting that label understand the technology and the decisions they are making with it.

  • The AI-company label has become widespread
  • Leadership competence matters more than the label
  • Poorly understood adoption creates organizational risk
#ai adoption#leadership#companies

Story· 3

Story

Kozyrkov Fell in Love With Spreadsheets at Eight or Nine

Kozyrkov traces her fascination with structured thinking to discovering spreadsheets as a child. She describes them as the most beautiful thing in the universe, revealing an unusually early attraction to organizing information.

  • Her interest in spreadsheets began around age eight or nine
  • The attraction to structured information appeared long before her Google career

“Well, when I was about eight or nine years old, I discovered the most beautiful thing in the universe. Spreadsheets.”

Cassie Kozyrkov
#spreadsheets#childhood#data
Story

Starting College at 15 Revealed How Much Larger the World Was

Kozyrkov says she went to college at 15. She connects that accelerated educational path with realizing that the world was much bigger than it had appeared while she was growing up.

  • She entered college at 15
  • Higher education expanded her sense of the world's scale
  • Her early environment had limited how much of that wider world she could see

“I went to college when I was 15.”

Cassie Kozyrkov
#education#worldview#south africa
Story

A Decade at Google Became the Setting for Decision-Science Work

Kozyrkov discusses spending about ten years at Google in the context of her decision-science career. The episode links that period with the practical challenge of helping a large technology organization make sense of data, automation, and human judgment.

  • Her Google tenure lasted about ten years
  • The work joined data and AI with organizational decisions
  • Human judgment remained central despite technical scale
#google#career#decision science

Takeaway· 1

Takeaway

Decision Expertise Required Immersion Across Disciplines

Kozyrkov describes deliberately immersing herself in the disciplines that inform decisions. The discussion presents decision science as broader than acquiring a single technical skill or collecting more data.

  • Her development involved full immersion in decision disciplines
  • Decision work is presented as a multidisciplinary practice
  • Technical information alone is not the whole job

“I had to go and go get full immersion in the decision disciplines.”

Cassie Kozyrkov
#decision science#learning#disciplines