Fortune | FORTUNE 前天 22:05
人工智能浪潮下的工作未来与人力挑战
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本文探讨了人工智能(AI)对未来工作和劳动力市场的影响。文章指出,尽管AI技术飞速发展,但其带来的机遇与挑战并存。部分经济学家和行业领袖认为,AI可能加剧社会经济分化,少数高科技人才将引领经济发展,而大部分劳动力的前景则依赖于此。同时,文章强调了在AI时代,人类与AI协作的重要性,以及企业在部署AI项目时,如何确保人类员工的适时介入和关键决策的把控。文中还提及了AI在人力资源管理中的应用,如继任计划和员工晋升,但同时警示管理者需审慎对待AI的输出,避免过度依赖。此外,文章还收录了关于员工会议行为、AI对裁员的影响以及Z世代员工对AI的看法等轶事。

💡 AI驱动的经济分化与少数人才主导:文章引用了对冲基金经理Ray Dalio的观点,指出美国经济可能日益依赖少数高科技人才,约占人口1%的AI领域顶尖人才及其周围的5%-10%人群,引领着整个经济的走向。这可能导致大多数劳动力的就业前景与一个狭窄的经济领域息息相关,加剧社会经济分化。

🤝 人类与AI协作的必要性:在AI技术广泛应用的背景下,文章强调了在AI项目成功实施过程中,将人类员工“插入正确的位置”至关重要。企业领导者需要审慎思考哪些任务最需要人类的判断和触感,AI并非简单地取代工作,而是需要与人类进行有效协作,以实现生产力的最大化。

⚖️ AI在人力资源决策中的审慎应用:企业高管咨询公司面临客户关于利用AI进行继任计划和员工晋升决策的疑问。虽然AI可以提供便捷的信息和辅助决策,但文章提醒管理者,必须批判性地思考AI生成的所有建议,不能照单全收。AI是强大的工具,但不能成为决策的唯一依据,人类的判断和经验仍然不可或缺。

I’m back in New York after a thrilling week in Riyadh, Saudi Arabia. At our Fortune Global Forum, economics and geopolitical tensions were hot topics, but the future of the workforce and workplace also came up in so many conversations.

Take the legendary hedge fund manager Ray Dalio, who told my colleague Diane Brady onstage that America is developing a dependency on a tiny cohort of high-level workers, specifically those in tech. He warned that most workers’ prospects are increasingly dependent on a narrow segment of the economy.

“If you’re looking at, let’s say, the AI world, and really what amounts to about 3 million people—1% of the population—leading, and then … the 5% or 10% around them, you have one world that the whole world is dependent on,” he explained. “And then you have the bottom 60% of the population.”

Speaking of AI and the workforce, I led a conversation on building a tech future-ready workforce, and how leaders can make sure human workers and AI agents work collaboratively and productively. 

Vinay Firake, tech and consulting firm Wipro’s CEO of APMEA Strategic Market Unit, told me that in order for a company to ensure success with its AI programs, it’s “absolutely essential” to have the human inserted at the right place. It’s not about AI replacing jobs, he said—but leaders do need to think critically about which tasks require a human touch.

One of the big questions that Anne Lim O’Brien, vice chair of Global & CEO Practice at executive search firm Heidrick & Struggles, said she gets from corporate clients is around using AI in succession planning and to decide which employees get promoted. She acknowledged that it can be helpful, but also issued a warning: Managers must critically think about everything AI spits out, and not take it at face value.

“Frankly, it saves so much. You get all your answers at your fingertips. It’s so sexy,” she said. “But is it the be-all and end-all of your answers? No.” 

You can watch all of our Fortune Global Forum panels on video here.

Kristin Stoller
Editorial Director, Fortune Live Media
kristin.stoller@fortune.com

Around the Table

A round-up of the most important HR headlines.

JPMorgan Chase is offering workers use of an in-house AI tool to help write year-end performance reviews. Financial Times

Employees are increasingly texting and using their computers during meetings, and CEOs are struggling to keep their workers’ attention. Wall Street Journal

After Amazon cut 14,000 white-collar jobs, other executives are echoing Amazon CEO Andy Jassy’s talking points, blaming expected gains from AI for their own job cuts. Washington Post

Watercooler

Everything you need to know from Fortune.

Missing meetings. A new study found that some 30% of Gen Z workers admit to skipping meetings because they think AI will “have their back” by taking notes.—Lily Mae Lazarus

Reducing bureaucracy. Despite looming concerns about AI replacing factory workers, Amazon’s recent job cuts show it’s coming for middle management first. —Eva Roytburg

Demographic debacle. Chanel’s second female global CEO asked ChatGPT to show her a picture of her company’s leadership. The result? Men in suits. —Sasha Rogelberg

This is the web version of Fortune CHRO, a newsletter focusing on helping HR executives navigate the needs of the workplace.

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人工智能 未来工作 劳动力市场 AI 人力资源 经济分化 人机协作 Future of Work AI Labor Market Human Resources Economic Disparity Human-AI Collaboration
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