人工智能行业:商业转变增加宏观风险 – 渣打银行
渣打银行全球研究团队讨论了最近在人工智能(AU)方面的进展,包括Anthropic的Claude Opus 4.6和GPT 5.3-Codex,如何可能加速商业采用,相较于早期主要提升消费者剩余的浪潮

渣打银行的全球研究团队讨论了最近在人工智能(AU)方面的进展,包括Anthropic的Claude Opus 4.6和GPT 5.3-Codex,可能会加速商业采用,相较于早期主要提升消费者剩余的浪潮。该银行强调了对劳动市场、企业盈利和GDP增长的潜在宏观影响,特别是对爱尔兰和印度等软件出口经济体。

新AI模型推动商业采用

"在我们的报告《人工智能的主导地位是否凸显了美国的例外主义?》中,我们曾论证,人工智能对生产力的影响迄今为止有限,因为商业采用进展缓慢,大多数收益是通过消费者剩余的增加在个人层面上获得的。"

"最近发布的Anthropic最新模型Claude Opus 4.6,以及其他AI模型的更新,可能会颠覆这一趋势。"

"这与其他新AI更新如GPT 5.3-Codex一起,增加了对这些发布的潜在宏观影响的担忧,特别是对劳动市场和传统主导企业的盈利。"

"尽管这一发布被视为科技界的里程碑,但它也动摇了一些股市,尤其是那些以传统软件和数据服务股票为主导的市场(图1)。"

"Opus 4.6模型配备了新的‘Cowork’助手插件,使得在法律、金融、销售、市场营销和数据分析等其他行业自动化任务变得更加容易。"

(本文是借助人工智能工具创建,并由编辑审核。)

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