渣打银行首席执行官因人工智能裁员言论引发争议,监管机构介入调查。
Regulators Circle StanChart After CEO's AI Layoff Comments Spark Uproar

原始链接: https://www.zerohedge.com/ai/regulators-circle-stanchart-after-ceos-ai-layoff-comments-spark-uproar

渣打集团首席执行官温拓思(Bill Winters)因将银行由人工智能驱动的裁员形容为以技术取代“低价值人力资本”,引发了强烈反弹。在计划于2030年前削减7800个企业岗位之际,香港和新加坡的监管机构已要求银行做出解释,质疑人工智能是否被用作裁员的借口。 舆论风波后,温拓思就其措辞发表了公开道歉,澄清银行的工作重心在于员工再培训和转岗管理。然而,此次事件凸显了围绕人工智能引发的“白领清洗”所带来的日益增长的广泛焦虑。 随着Meta等公司纷纷效仿人工智能应用和劳动力重组的模式,劳动力市场的动荡已成为核心议题。有关人工智能监控员工、取代合同工,并最终导致那些曾训练这些系统的员工被裁撤的报道,进一步加剧了企业追求效率与保持劳动力稳定性之间的紧张关系。随着人工智能整合的加速,渣打银行的这一事件成为了关于技术变革所带来的社会及经济影响这场持续辩论中的焦点。

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原文

It has been a tumultuous week for Standard Chartered CEO Bill Winters.

Winters appeared out of touch with the growing anxiety surrounding mounting white-collar AI-related job losses. He described the bank's AI adoption push as "not cost-cutting," but rather as "replacing lower-value human capital with financial and investment capital."

Such language ignited a firestorm for the CEO and the bank, and by the end of the week, regulatory scrutiny had descended on the firm.

Reuters reports that authorities in Hong Kong and Singapore have pressed the bank for clarity on Winters' comments and the scope of upcoming AI-related layoffs.

On Tuesday, StanChart began labor restructuring to cut 15% of its corporate roles (about 7,800 jobs) by 2030 as part of a broader efficiency push amid the adoption of AI.

Hong Kong authorities asked StanChart whether AI was being used as a pretext to reduce headcount.

By midweek, Winters scrambled into damage control following the "lower-value human capital" remarks. Early today, he apologized for his "choice of words" in a LinkedIn post.

"For that, I am sorry. I am therefore showing below a verbatim transcript of what I actually said, which I hope allows for a better understanding of the important point I was raising..."

Here's the transcript:"

“For example, this new core banking system in Hong Kong, which is a major, major accomplishment. This is not an everyday thing. It happens once in 40 years. And when it goes wrong, it's a disaster. It did not; it was practically perfect. That was a two and a half year programme, to get that right. The people that were gonna be affected, who were very important for helping us get to the right answer, knew that they were gonna be affected, and we began reskilling them at the earliest possibility. We're not long on talent in the markets where we operate, because these markets are growing fast. So the people that want to reskill, that want to carry on, we're giving every opportunity to reposition. And the people that say, yeah, you know, I've done my bit, I'm ready to do something else. I take a package at the end of the application migration. So this isn't, it's not cost cutting. It's replacing, in some cases, lower-value human capital with the financial and investment capital we're putting in. But almost always, with good clear notice going forward."

Beyond StanChart, corporate America is firing engineers and other white-collar workers as AI adoption accelerates. This era will likely be remembered as the great "white-collar purge," and the response may be continued backlash toward data centers.

Meta Platforms began firing 8,000 workers earlier this week, while leaked audio of CEO Mark Zuckerberg described how AI is monitoring highly skilled employees. According to X user Official Layoff, who leaked the audio: "AI is replacing the contractor. Then the employee trains the AI. Then the AI replaces the employee."

Take a look at Bloomberg story count data for "ChatGPT" and "layoffs" ...

Labor-market disruption for white-collar workers has arrived with the rise of AI adoption. In 2023, Goldman detailed just how many jobs AI may eliminate. That number is absolutely alarming.

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