美国银行首席执行官布赖恩·莫伊尼汉周三对CNBC表示，该行已雇佣了一支外包承包商大军，以帮助修复由包括Anthropic的Mythos在内的先进人工智能模型暴露的软件漏洞。
Bank of America has hired an army of external contractors to help it patch software vulnerabilities exposed by advanced artificial intelligence models including Anthropic's Mythos, the bank's CEO, Brian Moynihan, told CNBC on Wednesday.
在该行第三季度财报发布后的采访中，莫伊尼汉表示，今年早些时候，公司为加强其内部和供应商代码的广泛范围，动用了数千名员工和外部人员。
In an interview after the bank's third-quarter earnings release, Moynihan said that earlier this year the company rushed to bolster a wide spectrum of its internal and vendor code using thousands of employees and outside personnel.
“这种风险是真实存在的风险，这就是为什么当前沿类型模型推出时……我们很多人坐下来说道，‘我们如何才能快速应对这个问题？’”莫伊尼汉对CNBC的莱斯利·皮克尔说。
"That risk is real risk, and that's why when the frontier-type models came out. … A lot of us sat down and said, 'How do we figure out how to get through this quickly?" Moynihan told CNBC's Leslie Picker.
“我们在第二季度雇佣了1000名承包商来帮助我们完成补丁工作，而这些人至今仍在这里，协助我们，除此之外我们在这一领域还有3000人，”他说。
"We put on 1,000 contractors to help us do the patching work in the second quarter, and those people remain here today, helping us, on top of the 3,000 people we have in that area," he said.
莫伊尼汉周三早些时候对分析师表示，该行在第三季度为软件修复以及与反洗钱合规相关的监管问题花费了“几亿美元以上”。
The bank spent a "couple hundred million plus" on the software remediation and regulatory issues related to anti-money laundering compliance in the third quarter, Moynihan told analysts earlier Wednesday.
这些言论是美国主要企业首次具体说明为防范Mythos而投入的人力和资金，Mythos于4月份仅向少数银行、科技公司和政府机构发布。
The comments are some of the first by a major U.S. corporation to specify the manpower and dollars spent to protect software systems from Mythos, which was released to a small group of banks, technology firms and government agencies in April.
它们还凸显了人工智能的双刃剑特性：虽然它可以通过提高生产力帮助公司节省成本，但像Mythos这样的模型能够发现并利用数十年前的软件缺陷，这也迫使公司陷入昂贵的防御性应对。
They also highlight the dual-edged nature of AI: While it can help companies save money by boosting productivity, the ability of models like Mythos to uncover and exploit decades-old software flaws has also forced firms into a costly defensive scramble.
“我们必须走在他们前面，并且必须意识到进行软件开发的人正是试图向我们销售服务的人，”莫伊尼汉说。
"We've got to stay ahead of them, and we've got to be mindful that the people doing the software development are the people trying to sell us the services," Moynihan said.
尽管如此，莫伊尼汉——在他所在公司的股价周三一度下跌多达8%的情况下——仍试图向投资者保证，这一支出增加是暂时的。
Still, Moynihan — speaking as his company's shares slumped as much as 8% Wednesday — sought to reassure investors that the spending increase was temporary.
“一旦打补丁，就不需要频繁打补丁了……管道会顺畅运行。”莫伊尼汉说，并补充道，银行预计修复成本将随时间推移而下降。
"Once you patch, you don't have to patch as much. … The pipeline moves through," Moynihan said, adding that the bank expects remediation costs to decline over time.
在其他方面，AI正在帮助降低开支。美国银行目前有约130个内部AI项目，这些项目带来的节省预计将从今年的3亿美元增加到2027年的7亿美元，莫伊尼汉对分析师表示。
In other places, AI is helping to reduce expenses. Bank of America has about 130 internal AI projects, and savings from those efforts are expected to rise from $300 million this year to $700 million in 2027, Moynihan told analysts.
他说，在过去一年里，美国银行的员工人数减少了约3400人，因为公司裁减了大约5%的管理人员。目前尚不清楚这一劳动力削减中有多少可归因于AI。
Bank of America's head count fell by about 3,400 employees in the past year as the firm cut roughly 5% of managers, he said. It's unclear how much of that workforce reduction is attributable to AI.