---
schema: 1
type: term
title: knowledge economy
description: >-
  As used in this channel's material, a **knowledge economy** is an economy
  where competitive value comes from knowledge work — talent, ideas, and
  innovation — rather than physical resources. The term appears in the context
  of state-level AI strategy, where building a knowledge economy means training
  workers, attracting startups, and establishing AI partnerships with
  universities and industry.
canonical: >-
  https://liquidgold.cc/channel/everyinc/explore/term/knowledge-economy-106bfed70907
markdown: >-
  https://liquidgold.cc/channel/everyinc/explore/term/knowledge-economy-106bfed70907.md
llms: null
parent: 'https://liquidgold.cc/channel/everyinc/llms.txt'
channel: everyinc
updated: '2026-10-23T22:12:35.346Z'
language: null
children: []
---


# knowledge economy

Canonical: https://liquidgold.cc/channel/everyinc/explore/term/knowledge-economy-106bfed70907

Parent: [Channel index](https://liquidgold.cc/channel/everyinc/llms.txt)

## Definition

As used in this channel's material, a **knowledge economy** is an economy where competitive value comes from knowledge work — talent, ideas, and innovation — rather than physical resources. The term appears in the context of state-level AI strategy, where building a knowledge economy means training workers, attracting startups, and establishing AI partnerships with universities and industry.

In the channel's material, **knowledge economy** comes up in the context of a sitting governor discussing how a state positions itself for AI — not as an abstract economics lecture, but as a practical question of *who builds and keeps high-value work in the age of AI*. The framing appears in an interview with New Jersey Governor Phil Murphy about AI policy, where the conversation connects AI to rebuilding a **startup economy** and preparing a large public workforce for technological change [^a4e2cb1a-b533-59c5-9766-cc27d015e765].The term functions as the economic backdrop for the channel's AI-policy discussion: when a state invests in workforce training (61,000 public employees), builds AI partnerships with universities and companies (Princeton and Microsoft), and tries to attract startups, it is competing for the kind of value creation that a knowledge economy rewards — ideas, talent, and innovation rather than raw materials alone [^a4e2cb1a-b533-59c5-9766-cc27d015e765].- **Knowledge economy** is used as the economic setting for AI policy: value comes from talent, ideas, and innovation.- In the channel's usage it is tied to concrete state actions — **workforce training**, university and industry **AI hubs**, and **rebuilding a startup economy**.- It is treated as a competitive arena: states and regions vie to attract and retain knowledge-driven work in the AI era.