90年代的黄河路

据钛媒体最新报道,中美在人工智能(AI)领域的差距似乎正在扩大。尽管全球AI投融资活动整体降温,但美国在此领域的主导地位依然稳固。2023年,美国AI公司的投融资总额达到310亿美元,占全球交易的近半壁江山。相比之下,中国的AI投融资数量和总额均出现下滑,第一季度的数据更是创下五年来的最低纪录。

彭博数据显示,全球前500名富豪中,有30位的财富显著受益于AI产业,其中大部分为美国企业家。今年至今,他们持有的净资产总计增加了1240亿美元,占彭博亿万富翁指数财富增长的96%,凸显了AI在美国经济中的重要地位。

这一现象的加剧,部分归因于美国OpenAI公司在2月15日发布的创新AI视频生成模型Sora。该模型的发布不仅展示了美国在AI技术研发上的领先地位,也有可能进一步拉开中美两国在AI技术应用和商业化上的差距。

分析指出,中国AI融资的衰退可能源于多方面因素,包括投资环境的调整、市场竞争的加剧以及全球经济增长的不确定性。中美两国在AI领域的此消彼长,预示着全球AI竞赛的格局正在发生变化,同时也为中国AI产业的发展提出了新的挑战与思考。

英语如下:

**News Title:** ” Widening Gap in AI between China and the US: 96% of US Billionaires’ Wealth Linked to AI, while China’s Funding Plummets”

**Keywords:** AI gap between China and the US, Rise of US billionaires, OpenAI’s new model

**News Content:**

Title: The Divide in AI between China and the US Grows: US Billionaires’ Fortunes Soar, Chinese Funding Takes a Hit

According to the latest report from TMTPOST, the gap in artificial intelligence (AI) capabilities between China and the US appears to be expanding. Despite a global cooldown in AI investment and financing activities, the US maintains its dominant position in the sector. In 2023, US AI companies attracted a total of $31 billion in investments, accounting for nearly half of global transactions. In contrast, both the number and total value of AI investments in China have declined, with the first quarter of the year marking the lowest figure in five years.

Bloomberg data reveals that 30 of the world’s top 500 billionaires have significantly benefited from the AI industry, predominantly American entrepreneurs. Their combined net worth has increased by $124 billion so far this year, contributing 96% to the wealth growth in the Bloomberg Billionaires Index, underscoring AI’s pivotal role in the US economy.

This acceleration can partly be attributed to the innovative AI video generation model, Sora, launched by US-based OpenAI on February 15th. The release not only underscores the US’s lead in AI research and development but may also exacerbate the disparity between the two nations in AI technology adoption and commercialization.

Analysts suggest that the decline in China’s AI funding could stem from various factors, including adjustments in the investment landscape, intensified market competition, and global economic growth uncertainties. The contrasting trends in AI development between the two countries signal a shift in the global AI competition landscape, posing new challenges and prompts for reflection in the development of China’s AI industry.

【来源】https://www.tmtpost.com/6937521.html

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