本周，大盘呈现探底回升的走势，上证综指上涨0.37%，深证成指上涨1.26%，创业板指上涨1.86%，科 创50指数下跌0.08%，沪深300指数上涨1.28%。对于下周市场，业内人士认为，经过近期连续调整，短 线做空动能逐步衰减，随着周五成交量逐步放大，大盘有望重拾升势。后市，投资者可继续跟踪工业金 属、航天装备、军工电子等板块的动向。 创业板指一周上涨近2% 本周是12月首个交易周，大盘呈现探底回升的走势。周一，股指收出小阳线;周二至周四，股指连续调 整，成交额逐步减少;周五，股指探底后企稳反弹，特别是午后，在保险、券商等金融股带动下，沪深A 股震荡收阳。本周，上证综指小幅上涨0.37%，深证成指上涨1.26%，创业板指上涨近2%。 根据同花顺数据统计，创业板指成份股中，本周涨幅前10位的分别是天孚通信、北京君正、长川科技、 新易盛、金力永磁、南大光电、指南针、怡合达、蓝思科技、中际旭创，其中，天孚通信本周大涨逾两 成。 12月3日公布的ADP就业数据显示，11月美国私营企业减少3.2万个工作岗位，为2023年3月以来最大降 幅，远逊于市场预期的增加4万个岗位。贝莱德智库最新一期文章称，由于美国政府长期停 ...

Core Insights - The Q3 earnings reports from the five major US tech giants highlight the significant impact of AI on their growth, indicating that AI has become a critical factor for survival in the tech industry [11][12]. Company Summaries Google - Google achieved a record Q3 revenue of $102.35 billion, with a net profit increase of 33% year-over-year [2][3]. - The cloud service revenue reached $15.157 billion, exceeding expectations, with a backlog of $155 billion in orders [2]. - Over 70% of cloud customers are utilizing its AI solutions, leading to a profit margin increase to 19% [3]. Microsoft - Microsoft's Q3 intelligent cloud revenue was $30.897 billion, a 28% year-over-year increase, with Azure services growing at 39% [4]. - The company secured long-term contracts for Azure, amounting to several hundred billion dollars in future leasing fees [4][5]. - Capital expenditures surged to $34.9 billion, a 74.5% increase year-over-year, to expand computing capacity [5]. Apple - Apple's Q3 service revenue reached $28.75 billion, a 15% year-over-year increase, driven by AI-enhanced features in the iPhone 17 series [6][7]. - The iPhone 17 series saw a 14% year-over-year sales increase in the US and China, with the ProMax version selling 1.5 times more than its predecessor [7]. - The integration of hardware, AI, and services has created a profitable closed-loop business model [7]. Amazon - Amazon's AWS revenue for Q3 was $33.01 billion, a 20.2% year-over-year increase, marking the fastest growth in 11 quarters [8]. - The company is investing heavily in AI infrastructure, with plans to deploy over 1 million self-developed Trainium2 chips [8][9]. - Despite significant infrastructure investments, Amazon reported an operating cash flow of $130.7 billion, a 16% year-over-year increase [9]. Meta - Meta's Q3 advertising revenue increased due to AI enhancements, with ad impressions up 14% and prices rising by 10% [10]. - The company is leveraging AI to revitalize its advertising business, with Reels ad revenue exceeding $50 billion [10]. - WhatsApp's business messaging service is projected to generate $12 billion in revenue by 2026 [10].

Core Viewpoint - The Q3 financial reports of the five major US tech giants highlight that AI has transitioned from a trendy concept to a critical driver of growth, making it essential for survival in the tech industry [2][19]. Group 1: Company Performances - Google achieved a record Q3 revenue of $102.35 billion, with a net profit increase of 33% year-over-year, driven by its self-developed chips and AI models [7][9]. - Microsoft's Q3 intelligent cloud revenue reached $30.897 billion, a 28% increase year-over-year, with Azure services growing at 39%, supported by long-term contracts worth several hundred billion dollars [11][12]. - Apple's Q3 service revenue rose to $28.75 billion, a 15% increase year-over-year, benefiting from AI-enhanced advertising and subscription services [14]. - Amazon's AWS revenue was $33.01 billion, a 20.2% year-over-year increase, with significant investments in AI infrastructure leading to a 150% increase in related revenue [16]. - Meta's Q3 advertising revenue saw a 14% increase in ad impressions and a 10% rise in prices, with AI significantly enhancing its advertising efficiency [17]. Group 2: AI as a Competitive Necessity - AI is now viewed as a survival factor for tech companies, shifting the competitive landscape from user scale and revenue growth to the depth of AI capabilities [19][20]. - Companies without AI strategies are falling behind, while those investing early and heavily in AI are reaping significant rewards, illustrating a pronounced Matthew effect [20]. Group 3: Investment Opportunities - Key investment directions include focusing on AI infrastructure, following AI applications in consumer electronics and enterprise services, and identifying companies with strong cash flow to support long-term AI development [24][25].