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cover of episode The Dr. Strange Theory of AI Agent Work
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NLW
知名播客主持人和分析师，专注于加密货币和宏观经济分析。
Topics
NLW: 我越来越相信，我们低估了智能代理对工作的颠覆性影响。当前人们对智能代理的理解大多停留在用其取代现有工作流程或岗位的层面，这忽略了智能代理在重塑工作结构方面更深远的潜力。 我认为，大多数人，即使是那些真正关注智能代理的人，也认为智能代理是对现有工作的逐一替代，而不是带来全新的、目前无法预见的机会来从更结构化的层面重新概念化工作。 人们对智能代理的想象局限于取代单一任务或工作流程，甚至整个工作岗位。企业对智能代理的兴趣一部分源于其成本效益，即用更低的成本完成现有工作。 然而，我们应该思考的是，如果拥有数百甚至数千个智能代理来完成这项工作，会发生什么？想象一下，拥有100个智能代理撰写推文，其中20个专门针对公司品牌声音进行训练，而另外80个则模仿竞争对手或其他行业的品牌声音，甚至一些著名作家。 这些智能代理可以根据不同的目标和受众进行训练，并通过协同工作，最终产生更优的结果。这种多智能体系统可以应用于各种业务职能，彻底改变工作模式。 未来不是人类和智能代理分担现有工作，而是大量专业化智能代理协同工作，彻底改变工作模式。这种变革将带来许多新的机遇和挑战，需要我们积极探索和应对。 无论现在对智能代理多么兴奋，我们都低估了五年后工作与今天相比的巨大差异。

Deep Dive

Chapters
This chapter explores the common misconception that AI agents will simply replace existing jobs. The author argues that this is an underestimation of the transformative potential of agents, suggesting instead that they will fundamentally change how work is structured.
  • AI agents are not seen as one-to-one replacements for human workers.
  • The ROI of AI agents is a key factor in enterprise adoption.
  • Companies that reinvest savings from AI agents in new products and services will be more successful.

Shownotes Transcript

In today's alt-long-reads episode, NLW explores the future of agentic work. He argues agents won't be a 1-to-1 replacement for today's labor, but will totally transform how we think about how jobs get done.

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