Fortune | FORTUNE 10月24日 22:26
AI 驱动企业转型:人才、技能与组织模式的重塑
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文章探讨了在人工智能时代,企业如何进行战略转型。核心观点包括:通过雇佣更多应届毕业生,并利用AI工具赋能,可以加速员工成长并提升其工作效率,而非简单替代人力。同时,强调跨学科技能的重要性,鼓励融合历史、社会学等非STEM背景人才与计算能力,以识别和解决复杂问题。此外,文章借鉴好莱坞模式,提出构建灵活的团队来应对项目需求,并将AI和代理人作为核心的、可长期保留的资产,而将人力作为可变因素。最后,强调在快速变化的世界中,结合直觉和数据进行决策的重要性,并适时调整假设。

🚀 **拥抱AI赋能,重塑人才结构:** 企业正通过大量招聘应届毕业生,并借助AI工具,使其能够“超常发挥”。AI被视为人类潜能的放大器,而非替代工具,这使得金字塔结构变得更宽广、更扁平,加速了专业化进程。

💡 **跨学科融合,发掘新价值:** 强调非STEM(科学、技术、工程、数学)背景人才的重要性,例如历史学家、社会学家、心理学家和记者。通过将他们的专业知识与计算技能相结合,能够更有效地发现和解决实际问题,实现“应用智能”的差异化优势。

🎬 **借鉴好莱坞模式,构建敏捷组织:** 提出组建项目制团队,项目完成后解散,从而形成一种敏捷的系统。将AI和代理人视为永久性的“资本”,而将人员视为可变的组成部分,以应对快速变化的市场需求。

🧠 **直觉与数据结合,快速决策:** 建议在决策过程中,首先基于经验和直觉构建假设,然后用数据进行验证,达到一定程度后,便应停止过度依赖数据,转而依靠直觉推动前进。在快速变化的世界中,重新审视假设至关重要。

Hire more junior employees: “The pyramid is going to be broader and shorter, and the path to expertise is going to be faster. This year, we are hiring more school graduates than ever before. I can take a school graduate and give them the tooling so they can actually punch above their weight. AI is an amplifier of human potential. It’s not a displacement strategy.”

Focus on interdisciplinary skills: “We are now going to hire non-STEM graduates. I grew up thinking, the more you specialize, the more premium you get. If it’s faster to expertise, then expertise is not the asymmetry. Intelligence is not the asymmetry. Applying intelligence is the asymmetry. If I’m a historian, I could blend it with computational skills and become a futurist. If problem solving is assisted with machines … the mix of people in the core is going to be non-STEM disciplines like anthropologists, sociologists, psychologists, journalists; people who can be more purposeful problem finders.”

Adopt a Hollywood model: “It created an agile system where you assemble teams for a project for a broader purpose, and you dismantle it after it is done. The studio was a physical entity, production houses were the capital structures, and everything else was fluid. The constraint [for corporations] was institutional knowledge, tribal knowledge, the heritage of the company, the enabling layers of finance, HR, all of it …We can feed that tribal knowledge in whatever form we get into the LLM to build an agent on the other side, which is very contextual … You make the AI capital permanent, the agentic capital permanent, and you unleash people to be the variable component.

Go with your gut: “You build your thesis or your hypothesis on gut, which is a combination of experience, intuition, and connecting the dots, and then you layer it with data, and you get close to 60, 70% and then you’d stop layering it with any more data, because you’d be late. And then you go back to your gut and push it through. Rethinking your assumptions in a world which is moving at a high pace is important.”

Click here for the full interview with Kumar. And I’m arriving in Riyadh today for the 2025 Fortune Global Forum. I hope you’ll join us on Oct. 26 and 27 via livestream, which you can watch here.

Contact CEO Daily via Diane Brady at diane.brady@fortune.com

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S&P 500 futures up 0.34% this morning. The last session closed up 0.58%. STOXX Europe 600 was flat% in early trading. The U.K.’s FTSE 100 was flat  in early trading. Japan’s Nikkei 225 was up 1.35%. China’s CSI 300 was up 1.13%. The South Korea KOSPI was up 2.5%. India’s NIFTY 50 was up 0.08%. Bitcoin is up at $111K.

Around the watercooler

With $1 trillion pay package on the line, Elon Musk blasts influential firms telling shareholders to reject it: ‘Those guys are corporate terrorists’ by Marco Quiroz-Gutierrez

Amazon will give its delivery drivers AI-powered smart glasses, promising to make the job safer, faster amid automation push by Sasha Rogelberg

AI boom is making your utility bills more expensive, says BofA, and they’re likely to keep going up by Eleanor Pringle

Goldman Sachs CEO David Solomon says AI won’t destroy human jobs—’Yes, job functions will change…but I’m excited about it’ by Emma Burleigh

CEO Daily is compiled and edited by Joey Abrams and Jim Edwards.

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AI 企业转型 人才战略 组织模式 跨学科 决策 Artificial Intelligence Business Transformation Talent Strategy Organizational Models Interdisciplinary Decision Making
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