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Ethan Mollick
No available information on Ethan Mollick.
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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。
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@Ethan Mollick : 我认为AI在提升工作效率方面具有巨大潜力,许多员工已经开始在工作中使用AI工具。然而,企业目前尚未充分利用这些潜力,因为仅仅提升个人效率并不足以改善组织整体绩效。为了真正发挥AI的价值,企业需要进行组织创新,重新思考激励机制和工作流程。领导力至关重要,领导者需要明确AI驱动的未来,并引导员工适应新的工作方式。此外,企业还应鼓励员工参与创新,并建立AI基准来衡量AI的应用效果。我们需要构建领导者、实验室和员工之间的反馈循环,让我们比竞争对手更快地学习,并重新思考关于工作方式的基本假设。 @NLW : 我同意Ethan Mollick的观点,AI确实可以提高工作效率,并且组织需要进行变革才能充分利用AI的潜力。然而,我认为Ethan Mollick的文章有些过时,因为它没有充分考虑到AI代理的出现。AI代理已经从根本上改变了组织对AI的看法,许多组织正在积极探索如何利用AI代理来重塑其业务。此外,我认为员工技能提升仍然很重要,但重点应该放在代理管理上,而不是提示工程。总的来说,我认为AI的发展速度比Ethan Mollick描述的还要快,组织需要快速行动才能保持竞争力。我认为领导力面临的挑战在于决定是否将效率提升转化为裁员或组织增长,这决定了 AI 战略的方向。

Deep Dive

Chapters
This chapter explores the gap between individual and organizational AI adoption. While many employees report significant productivity gains from using AI, companies haven't seen the same level of overall improvement. This discrepancy is due to a lack of organizational innovation in adapting to AI. To overcome this, organizations need to harness the power of Leadership, Lab, and Crowd.
  • AI boosts individual work performance, but doesn't automatically translate to organizational gains.
  • Companies are not capturing the full potential of AI due to lack of organizational innovation.
  • Organizational change requires rethinking incentives, processes, and the nature of work.

Shownotes Transcript

AI races forward, yet organizations remain behind. In this piece, NLW explores Professor Ethan Mollick's three-part organizational architecture for capturing the gains of AI, arguing that if anything, agents have increased the urgency.

Source: https://www.oneusefulthing.org/p/making-ai-work-leadership-lab-and

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