在巴基斯坦首都伊斯兰堡，一幢幢房屋的屋顶上涌起"深蓝之潮"——越来越多太阳能电池板进入寻常家 庭，在充沛的南亚阳光下服务于人们的日常生活。 (责任编辑：王炬鹏) 中巴两国间的合作又岂止能源这一个领域。1月28日，中巴举办矿业全价值链合作论坛，中国驻巴基斯 坦大使姜再冬、巴基斯坦计划部长伊克巴尔、巴基斯坦投资委员会主席谢赫、巴基斯坦石油部长马利克 等出席并致辞，两国企业代表约900人参会。姜再冬表示，双方首次举办矿业主题论坛，立足"全价值 链"合作，有利于"从全面上开局破题、在发展上用力收功"，希望双方企业本着对国家发展有利、对生 态环境友好、对矿区民众友爱的精神推进合作。巴方表示，巴中友谊坚如磐石，矿业合作根基深厚，欢 迎中国企业来巴投资，巴方愿提供营商便利、加强安全保障、打造合作亮点，推动双边关系迈上新台 阶。 值得注意的是，虽然论坛的主题是矿业，但是"全价值链"才是本次论坛的着眼点，来自能源、建筑、金 融等各个领域的企业纷纷在论坛亮相，为参加论坛的投资者讲述各自的故事。 正如巴基斯坦副总理兼外长达尔所言："75年来，巴中两国相互尊重、相互信任、相互支持，经历国际 风云变幻考验，铁杆友谊的内涵不断深化。"一 ...

Core Insights - The current AI wave is not a repeat of the 2000 internet bubble, as it is driven by profitable "cash cow" companies rather than speculative "concept stocks" [3][5][6] - Investment strategies should shift from focusing on a few semiconductor leaders to a diversified approach across the entire value chain, including upstream (data centers, power facilities) and downstream (enterprise SaaS applications, AI security and governance) [3][23] Historical Review - The valuation levels in 2025 are significantly lower than the peak of the 2000 bubble, with the Nasdaq 100's forward P/E at approximately 26.7 times compared to 60 times in 2000 [5][6] - The quality of earnings is crucial, with only about 14% of ".com" companies profitable in 2000, while the S&P 500 IT sector's net profit margin is projected to be 27.7% in Q3 2025 [6][7] - The current investment landscape is characterized by substantial capital expenditures on real AI infrastructure, contrasting with the speculative marketing of the past [7] Industry Landscape - North American cloud providers are focusing on three main AI lines: upgrading product architectures, launching independent applications, and enhancing existing product capabilities with AI [8] - Capital expenditures among major cloud service providers are expected to grow significantly, with a projected year-on-year increase of 55% in FY2024 and over 40% in FY2025 [8][9] AI Market Dynamics - The AI industry is experiencing exponential growth in computing demand, with projections indicating a 3.5 times increase in AI computing needs by 2030, translating to $6.7 trillion in spending [13][14] - Supply constraints in AI infrastructure are expected to persist, with significant challenges in power supply and semiconductor production capacity [14] Investment Recommendations - The shift from speculation to practical applications in AI is evident, with predictions that by 2026, 40% of enterprise applications will incorporate AI agents [23] - A diversified investment strategy across the entire AI value chain is recommended, moving beyond a narrow focus on leading companies to include emerging applications and infrastructure [23]