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欧央行首席经济学家莱恩称人工智能是欧元区增长的重要贡献者ECB’s Lane Says AI Significant Contributor to Euro-Area Growth

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菲利普·莱恩 摄影师:肯特·西村/彭博社Philip Lane Photographer: Kent Nishimura/Bloomberg

欧洲央行首席经济学家菲利普·莱恩表示,随着企业投资人工智能技术并从其在全球的推广中受益,欧元区经济正受到人工智能的提振。

Central Bank Chief Economist Philip Lane said the euro zone economy is being buoyed by artificial intelligence as companies invest in the technology and benefit from its rollout across the globe.

莱恩周五在旧金山的演讲中表示:“人工智能目前是欧元区增长的重要贡献者,这既源于企业在人工智能采用方面的支出,也源于欧洲企业在全球人工智能供应链中的作用。”他补充说:“对企业和家庭的调查显示,人工智能采用率显著,尽管在各行业和人口群体中的分布并不均衡。”欧元区经济第三季度增长0.4%,与人工智能相关的行业表现强劲是亮点之一。欧洲央行近期与企业的交流显示,高附加值电子产品、电气设备及相关机械的需求出现了“非常强劲”的增长。

“AI is currently a significant contributor to growth in the euro area, driven by both expenditure on AI adoption and the role of European firms in the global AI supply chain,” Lane said in speech in San Francisco on Friday. “Surveys of firms and households indicate significant AI adoption rates, albeit unevenly distributed across sectors and demographic groups.”The euro-area economy grew 0.4% in the third quarter, with strength in AI-related sectors being one of the bright spots. Recent ECB exchanges with companies showed there was a “very strong” rise in demand for high value-added electronics, electrical equipment and related machinery.

这一现象在美国更为明显,数据中心和其他基础设施投资的激增一直是今年美国经济增长的关键支柱。但这种支出也侵蚀了大型科技公司的利润,导致其股价在近期业绩令人失望后大幅下跌。

The phenomenon has been even more pronounced in the US, where skyrocketing investments in data centers and other infrastructure have been a key pillar of this year’s economic growth. But the spending has also eaten into profits of big tech firms, leading to deep selloffs of their shares after disappointing results in recent days.

莱恩表示:“对企业和家庭的调查显示,人工智能采用率显著,尽管在各行业和人口群体中的分布并不均衡。然而,人工智能采用过程仍处于相对早期阶段,人工智能对整体经济的变革潜力的程度和时机仍高度不确定。”

“Surveys of firms and households indicate significant AI adoption rates, albeit unevenly distributed across sectors and demographic groups,” Lane said. “However, the AI adoption process is still at a relatively early stage and the extent and timing of the economy-wide transformative potential of AI remain highly uncertain.”

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