新华社纽约2月12日电 综述｜人工智能技术冲击引发担忧 纽约股市大幅下跌 另外，美国住宅销量大幅下降、联邦政府批评苹果手机推送系统偏好左派等因素也冲击相关公司股价。 （完） 今年以来，随着越来越多的人工智能工具投入应用，软件、物流、金融服务、商业地产等行业受到影 响。投资者担心，人工智能可能以更低成本、更高效率重新塑造相关产业的运营方式，冲击这些领域传 统企业的业绩表现。近来，这些担忧逐步开始反映在上市公司股价波动上。 由于投资者担心人工智能将优化物流流程，压缩传统企业利润率，罗宾逊全球物流公司股价12日跌超 14%。投资者担忧人工智能工具使用率提高会削弱办公空间需求，部分商业地产企业股票遭遇抛售。因 为新技术可能颠覆财富管理业务模式，以摩根士丹利公司为代表的金融服务类企业股价也受到冲击。 新华社记者刘亚南 由于投资者担忧人工智能技术大规模应用颠覆相关产业传统运营方式，美国纽约股市12日高开后大幅下 挫，跌幅在尾盘进一步放大。收盘时，纽约股市三大股指均显著下跌，其中物流和商业地产企业股价遭 重挫。 截至当天收盘，道琼斯工业平均指数比前一交易日下跌669.42点，收于49451.98点，跌幅为1.34%；标 准 ...

来源：滚动播报 2026年以来，MSCI亚太指数累计上涨逾11%，而美国基准股指则下跌，投资者担心AI模型可能威胁软 件、法律和房地产服务提供商的业务，相关股票被抛售。标普500指数年内下跌0.2%，以科技股为主的 纳斯达克100指数跌幅约为2%。不过周五MSCI亚太指数回落，跌逾1%。 ...

Core Viewpoint - Asian stock markets mostly declined, following a significant drop in Wall Street tech stocks, as investors are concerned about potential impacts on companies from industry changes driven by artificial intelligence [1][3][9]. Group 1: Market Performance - The Tokyo Nikkei 225 index fell by 0.8% to 57,165.13 points, after previously surpassing 58,000 points [1][7]. - The Hong Kong Hang Seng Index decreased by 1.8% to 26,547.97 points [2][8]. - The Shanghai Composite Index dropped by 0.7% to 4,105.04 points [2][8]. - The Australian S&P/ASX 200 index declined by 1.4% to 8,919.30 points [3][9]. - The South Korean KOSPI index rose by 0.4% to 5,545.49 points, driven by gains in tech stocks, with Samsung Electronics up by 1.2% [1][7]. Group 2: U.S. Market Impact - The S&P 500 index fell by 1.6%, or 108.71 points, to 6,832.76 points, marking the second-largest single-day drop since Thanksgiving, yet remains close to last month's record high [3][9]. - The Dow Jones Industrial Average decreased by 1.3%, or 669.42 points, to 49,451.98 points [3][9]. - The Nasdaq Composite index dropped by 2%, or 469.32 points, to 22,597.15 points [3][9]. - Cisco Systems' stock plummeted by 12.3% despite better-than-expected quarterly results, as investors expressed concerns over its sustained profitability [3][9]. - AppLovin's stock fell by 19.7%, even with quarterly profits exceeding expectations, due to worries about AI's potential impact on its business [3][9]. Group 3: Analyst Perspectives - Some analysts believe that the uncertainty stemming from AI-related transformation risks may persist for some time, affecting investor confidence in related companies, particularly in the software sector [3][9]. - Conversely, some analysts, including those from Capital Economics, remain optimistic about AI-related trends, predicting a "good year" for the S&P 500, led by tech stocks [3][9][10]. - Thomas Matthews from Capital Economics stated that a significant drop in tech stocks is necessary for a sustained reversal in their strong performance, but he expects tech stocks to perform well [10]. Group 4: Other Market Movements - McDonald's reported better-than-expected earnings, leading to a 2.7% increase in its stock price [10]. - Walmart's stock rose by 3.8% following positive earnings results [10]. - Oil prices saw a slight decline, with U.S. benchmark crude down by 0.1% to $62.77 per barrel, and Brent crude down by less than 0.1% to $67.49 per barrel [10]. - Gold prices increased by nearly 1% to $4,995.80 per ounce, while silver rose by 1.4% to $76.72 per ounce [10].

智通财经APP获悉，前摩根大通全球研究首席策略师兼联席主管马尔科·科拉诺维奇周四表示，人工智 能交易正在上演戏剧性反转——若某家科技巨头收紧AI基础设施支出，转守利润与现金流，市场反而 有望迎来反弹。 今年科技股主导的抛售潮中，软件板块首当其冲。市场既在定价AI颠覆性冲击带来的不安，又日益担 忧超大规模厂商资本开支持续攀升，或已触及不可持续水平。与此同时，资金向价值股的显著轮动，正 成为2026年市场主线之一。 科拉诺维奇在社交平台X上发文称："讽刺之处在于，市场若要反弹，反而需要某家超大规模厂商或软 件公司站出来表态——将停止AI投资(不再采购价格虚高的内存)，重归现金流导向。" 微软(MSFT.US)、谷歌(GOOGL.US)、亚马逊(META.US)及Meta Platforms(META.US)均已公布今年AI投 资计划，合计规模高达6500亿美元。 ...

Core Insights - The article highlights the strategic initiative by Wanjing Technology to launch a "Spring Festival Recruitment" plan, aiming to attract global AI talent by offering competitive salaries and a conducive working environment in Changsha [1][3]. Recruitment Strategy - Wanjing Technology is offering over a hundred high-paying positions across various fields including algorithms, product management, research and development, design, marketing, and administrative roles, with 80% of these positions based in Changsha [3]. - The company emphasizes competitive salaries, with algorithm engineers earning up to 1.2 million yuan and product managers earning between 400,000 to 900,000 yuan [3]. Business Growth and Development - The recruitment initiative is driven by the company's rapid business growth, particularly in AI-related sectors, including the launch of the AI-driven platform "Wanjing Drama Factory" and significant investments in AI companies [3]. - Wanjing Technology's creative science park in Changsha has completed its first phase, aiming to become a global creative hub [3]. Employee Development - The company has established a comprehensive employee development system that includes mentorship, AI tool access, and specialized training, with opportunities for outstanding employees to participate in an internal entrepreneurial model [4]. - Wanjing Technology has received several awards for its employer branding, including recognition as an "AI Recruitment Pioneer" and a "Youth-Friendly Employer" [4].

Core Viewpoint - The logistics sector has become the latest victim of "AI panic trading," following significant declines in software and financial sectors, with major logistics stocks experiencing sharp drops in both US and European markets [1][4][6]. Group 1: Market Reactions - On February 12, the Russell 3000 Trucking Index fell by 7.8%, with Robinson Global Logistics (CHRW) dropping over 14% and Expeditors International (EXPD) declining over 13% [1][4]. - In the A-share market, several transportation stocks also saw significant declines, with China Ocean Shipping Energy (中远海能) down over 8% and China Merchants South Oil (招商南油) down nearly 7% [1][3]. - The sell-off in logistics stocks was primarily influenced by the overnight plunge in US and European logistics stocks [4][6]. Group 2: AI Impact - The recent sell-off was triggered by Algorhythm Holdings' announcement that its SemiCab platform could increase freight volume by 300% to 400% without adding operational staff, leading to a surge in its stock price by nearly 79% at one point [4][5]. - Algorhythm's CEO emphasized that the logistics industry has been historically limited by human resources, and their platform aims to break this dependency by embedding intelligence directly into freight operations [5]. Group 3: Broader Market Context - Analysts noted that the current AI "super cycle" is reshaping global industry dynamics, intertwining technological benefits with market anxieties [2][6]. - The panic selling is not limited to technology stocks; any sector associated with AI news is experiencing similar reactions, indicating a broader market trend of fear and uncertainty [7][8]. - The ongoing turmoil in the market has not yet significantly impacted discussions on monetary policy, but prolonged volatility could change this [8].

Group 1 - The core index of the construction materials sector, the CSI All Construction Materials Index, fell by 2.05% as of February 13, 2026, with mixed performance among constituent stocks [1] - The top-performing stocks included Hainan Ruize, which rose by 1.39%, while Jinjing Technology led the decline with a drop of 5.36% [1] - The Construction Materials ETF (159745) decreased by 1.77%, with a latest price of 0.72 yuan, but showed a cumulative increase of 8.24% over the past month [1] Group 2 - The Construction Materials ETF recorded a turnover rate of 2.51% and a transaction volume of 56.7866 million yuan, with an average daily transaction of 183 million yuan over the past week, ranking first among comparable funds [1] - The ETF's scale increased by 12.2 million yuan over the past week, placing it in the top third of comparable funds [1] - The latest net outflow of funds from the ETF was 20.7035 million yuan, but there were net inflows on three out of the last five trading days, totaling 213 million yuan [1] Group 3 - Leverage funds are actively positioning in the market, with the latest margin buying amounting to 3.1003 million yuan and a margin balance of 33.6321 million yuan [1] - According to a report by Guojin Securities, global assets have entered a "Risk-off" mode due to various risk events, leading to a shift from growth to value stocks in the equity market [1] - The report highlights that sectors like industrials, materials, and real estate are gaining favor due to their characteristics that are difficult to replace with AI [1] Group 4 - Zhongyin Securities forecasts two potential turning points in the year: a "policy turning point" around the end of Q1 and a "fundamental turning point" around Q4, focusing on the improvement of demand and narrowing declines in second-hand housing prices [2] - The Construction Materials ETF has seen a net value increase of 28.68% over the past two years, ranking first among comparable funds [2] - The ETF's highest single-month return since inception was 24.25%, with an average monthly return of 6.65% during rising months [2] Group 5 - As of February 6, 2026, the Construction Materials ETF had a Sharpe ratio of 1.29, indicating a favorable risk-adjusted return [3] - The maximum drawdown for the ETF this year was 5.48%, with a relative benchmark drawdown of 0.24%, and it recovered the fastest among comparable funds [3] Group 6 - The management fee for the Construction Materials ETF is 0.50%, and the custody fee is 0.10%, with a tracking error of 0.065% over the past six months, the highest among comparable funds [4] - The ETF closely tracks the CSI All Construction Materials Index, which reflects the overall performance of listed companies in the construction materials sector [4] Group 7 - As of January 30, 2026, the top ten weighted stocks in the CSI All Construction Materials Index accounted for 61.6% of the index, including companies like Conch Cement and Dongfang Yuhong [5]

Core Viewpoint - Goldman Sachs indicates that the global bull market is not over, but the driving forces have shifted from crowded US tech stocks to emerging markets, commodities, and value stocks [1][3] Group 1: Market Dynamics - Funds are moving from over-congested US tech stocks to emerging markets (EM), commodities, and "old economy" value stocks [3] - The MSCI Emerging Markets Index has risen from 100 to nearly 120 relative to developed markets since the beginning of 2025, indicating a significant revaluation [7] - Despite geopolitical uncertainties, the stock market shows resilience, largely due to strong fundamentals and improved macro and micro drivers [9][8] Group 2: AI and Technology Sector - AI capital expenditure is projected to reach $659 billion, but concerns over return on investment (ROI) are rising, leading to significant differentiation among the "Magnificent Seven" tech stocks [4][14] - The software sector is experiencing a crisis as AI innovations threaten traditional SaaS models, resulting in a sharp decline in software valuations [5][16] - The correlation among the "Magnificent Seven" has sharply decreased, with varying returns; for instance, Google's return is around 66%, while others like Apple and Amazon lag behind [14][16] Group 3: Value Stocks and Old Economy - There is a revival of interest in value stocks, which were previously seen as "value traps," as some are successfully transforming into "value creators" by generating higher cash flows [18][19] - Capital expenditures in traditional sectors like utilities and telecommunications are increasing, driven by the need for infrastructure to support tech growth [17] - The performance of financial assets has reversed, with gold, emerging markets, and value stocks outperforming tech stocks, marking a significant shift in market dynamics [20] Group 4: Diversification and Future Outlook - The era of diversification is emerging, as the sources of growth are expanding beyond large tech stocks, with strong earnings growth across various sectors [22][23] - Analysts have raised earnings forecasts for 2026 unusually early, particularly for emerging markets, indicating a shift in investment opportunities [12][23] - Investors are encouraged to reassess long-standing allocation habits and diversify across regions, sectors, and styles to capitalize on the changing market landscape [23]

Group 1 - The core viewpoint of the article highlights a rare panic sell-off in the US stock market, driven by fears surrounding AI's disruptive potential across various sectors, leading to significant declines in technology, logistics, finance, and healthcare industries [1][3][5] - The market breadth is deteriorating, with 350 out of 500 S&P components declining, and major tech companies like Apple, Amazon, Microsoft, Meta, and Cisco contributing significantly to this downturn [6][7] - Defensive sectors such as utilities, consumer staples, and REITs are gaining traction, while previously strong tech stocks are experiencing widespread sell-offs, indicating a shift in investor sentiment [3][6][8] Group 2 - The latest trigger for market panic was a statement from a Microsoft AI executive suggesting that most white-collar jobs could be replaced by AI within 12 months, prompting a reevaluation of AI's impact [5][9] - Logistics has emerged as a new area of concern, with companies like CH Robinson experiencing extreme volatility, reflecting a broader fear that AI's influence is spreading from tech to traditional industries [7][8] - The healthcare sector is also under pressure, with contract research organizations (CROs) seeing a 32% drop this month, as companies like Pfizer announce plans to utilize AI for clinical trials [8][9]

Summary of Key Points from Conference Call Industry Overview - The focus of the current market anxiety is primarily on the financial sector, with a notable sell-off spreading to the commercial real estate brokerage and services sector, indicating a lack of buyers even before the earnings report from CBRE [3][3]. Market Performance - The S&P 500 index closed flat at 6,942 points, with a significant sell order of $170 million executed at the end of the trading session [2][2]. - The Nasdaq index increased by 29 basis points, closing at 25,201 points, while the Russell 2000 index fell by 38 basis points to 2,669 points [2][2]. - The Dow Jones Industrial Average decreased by 13 basis points, ending at 50,121 points [2][2]. - Total trading volume on the NYSE reached 20.88 billion shares, surpassing the year-to-date average of 19.51 billion shares [2][2]. - The VIX (Volatility Index) dropped by 79 basis points to 17.65, indicating reduced market volatility [2][2]. - WTI crude oil rose by 169 basis points to $65.04 per barrel, while gold increased by 134 basis points to $5,092 per ounce [2][2]. Sector Dynamics - A systematic sell-off occurred in interest rate-sensitive stocks within the financial sector, excluding REITs, leading to further pressure due to position adjustments and deleveraging [3][3]. - There was a notable rotation in sectors, with software stocks experiencing a significant decline of 7.5%, while semiconductor stocks saw gains driven by positive data, with VRT up 25%, LSCC up 16%, and MU up 10% [3][3][3]. Economic Indicators - Non-farm payroll data showed a strong increase of 130,000 jobs in January, exceeding market expectations of 65,000 and previous rumors of 35,000 [5][5]. - Average hourly earnings rose by 40 basis points, higher than the expected 30 basis points, while the unemployment rate fell to 4.3%, below the anticipated 4.4% [5][5]. - The market is currently pricing in approximately two rate cuts for the year, with the first cut's timing pushed from June to July [5][5]. Trading Activity - Overall trading activity was rated at 4 out of 10, with a net buying flow of +133 basis points, significantly above the 30-day average of -81 basis points [5][5]. - Hedge funds recorded a net sell of approximately $1 billion, with sell-offs across all sectors, primarily in financials, technology, healthcare, and REITs [6][6]. Additional Insights - The overall trading flow exhibited a top-down driving characteristic, indicating sector-level buying and selling rather than individual stock movements [4][4]. - Adjustments to the "birth-death" model by the Bureau of Labor Statistics (BLS) are believed to have inflated the employment data for January, which may increase volatility in future monthly employment growth [6][6].