该集团于当地时间周四上午宣布，计划与核聚变初创公司TAE Technologies合并，组建"全球首批公开上 市的核聚变企业之一"。这笔交易估值超60亿美元，完成后两家公司的股东将各持有新公司约一半的股 份。 这并非TMTG首次涉足热门新兴领域，此前该集团还曾发布过与加密货币相关的业务公告。消息传出 后，TMTG的股价在周四盘前交易中一度上涨约30%。 来源：金十数据 美国总统特朗普旗下的应用软件公司特朗普媒体科技集团（Trump Media & Technology Group Corp，简 称TMTG）最为人熟知的业务是运营"真实社交"（Truth Social）平台，如今这家公司要进军核能领域 了。 TMTG首席执行官德文·努涅斯（Devin Nunes）在一份声明中称："核聚变能源将成为自20世纪50年代商 用核能出现以来能源领域最重大的突破。这一技术革新不仅能降低能源价格、增加能源供给，还能助力 美国巩固人工智能领域的领先地位，重振制造业根基，同时强化国防实力。" 据国际原子能机构介绍，核聚变技术是通过原子核聚合释放能量的技术，相比核电站目前采用的核裂变 技术，它能释放出更多能量。 韦德布什证券公司 ...

Group 1: Market Review and Outlook - The mechanical equipment industry outperformed the market in 2025, with an overall increase of 27.80%, surpassing the Shanghai Composite Index by 17.65 percentage points [10][11] - The industry saw a recovery in performance, with revenue reaching 15,337 billion yuan, a year-on-year increase of 6.34%, and net profit of 1,103 billion yuan, up 14.19% [11] - The outlook for 2026 is optimistic, with expectations of a moderate recovery in macroeconomic conditions and improvements in domestic manufacturing demand [15][18] Group 2: Investment Directions: New Technologies - Focus on new technologies such as humanoid robots, nuclear fusion, quantum technology, low-speed unmanned systems, and perovskite solar cells, which are expected to drive industry upgrades and innovation [15][19] - Humanoid robots are shifting from theme-driven investments to value verification, with a focus on production schedules and scene orders [28][30] - Nuclear fusion is gaining momentum with accelerated technological progress and policy support, particularly in the Tokamak technology route [19][60] Group 3: Investment Directions: Cyclical Recovery - The cyclical recovery is driven by overseas expansion and policy support, with expectations for high export demand in 2026 [23][24] - The engineering machinery sector is showing strong recovery momentum, with significant growth in overseas exports and stabilization in domestic sales [23] - The oil service sector is entering an upward cycle, driven by the natural gas industry and AI computing power demands [23] Group 4: Recommended Stocks and Investment Portfolio - The investment strategy emphasizes a dual approach, focusing on both global benchmark chains and domestic supply chains [52][53] - Key recommended stocks include Sanhua Intelligent Controls, Beite Technology, and Yushun Technology, which are positioned to benefit from the growth in humanoid robots and related technologies [53][54] - The portfolio should balance between high visibility stocks linked to Tesla's supply chain and those offering higher growth potential in the domestic market [54][55]

Core Viewpoint - The article discusses the impending electricity shortage driven by the explosive growth of AI and data centers, highlighting the contrasting energy situations in the US and China, and the potential investment opportunities in nuclear energy and related technologies. Group 1: Electricity Demand and Supply - The demand for electricity from AI data centers is surging, with a single AI training server rack consuming over 50kW, compared to the traditional 6-8kW for standard data center racks [5][6] - By 2030, global data center electricity consumption is expected to double to approximately 945TWh, which would account for 63.42% of China's residential electricity consumption in 2024 [6] - The US is projected to consume 45% of global data center electricity by 2024, with significant growth expected in both the US and China by 2030 [9][10] Group 2: US Electricity Challenges - The US electricity system is unprepared for the AI-driven demand surge, with economic growth decoupled from electricity demand, leading to a stagnation in power supply [11][12] - The US faces a projected electricity shortfall of approximately 100GW over the next five years due to insufficient new generation capacity to meet rising demand [16][20] - Aging infrastructure and regulatory hurdles further complicate the expansion of the US power grid, making it difficult to meet the needs of new data centers [21][22] Group 3: China's Energy Landscape - China has a robust energy supply, with total electricity generation exceeding consumption, and is focusing on renewable energy sources to meet future demands [27][28] - By 2024, China's total electricity generation is expected to reach 10.09 trillion kWh, with significant contributions from wind and solar energy [27][28] - The country is also addressing the challenge of integrating renewable energy into the grid, with policies aimed at achieving a synergy between computing power and green energy [33][41] Group 4: Investment Opportunities - The article highlights the growing interest in nuclear energy, particularly small modular reactors (SMRs) and controlled nuclear fusion, as potential solutions to the electricity supply challenges faced by both the US and China [55][66] - Major tech companies are increasingly investing in nuclear technologies to secure stable power for their data centers, with several agreements already in place for future nuclear power procurement [56][57] - The market for energy infrastructure, including storage and backup power solutions, is expected to grow significantly in response to the electricity shortages in North America [50][52]

Group 1 - TAE Technologies has completed a new funding round of $150 million, with investments from Google, Chevron, and New Enterprise, bringing total funding to approximately $1.8 billion, making it one of the leading fusion companies globally [1][3] - The company has made significant advancements in reactor technology, shifting from a method that relied on launching two plasma spheres to a more efficient approach that uses particle beams for plasma formation, heating, and stabilization [3] - TAE's reactor can currently generate plasma temperatures of up to 70 million degrees Celsius, with plans to increase this to 1 billion degrees Celsius for commercial applications, indicating ongoing exploration in the clean energy sector [4] Group 2 - TAE has a long-standing collaboration with Google, utilizing machine learning to optimize fusion device parameters, significantly reducing the time and number of experiments needed for optimization [3] - The introduction of artificial intelligence has decreased the optimization time from approximately two months and 1,000 experiments to just a few hours, showcasing the impact of technology on research efficiency [3]

Group 1 - TAE Technologies has completed a new funding round, raising $150 million, with investors including Google, Chevron, and New Enterprise Associates [2] - This marks TAE's 12th funding round, bringing total funding to approximately $1.8 billion, making it one of the most funded fusion energy companies globally [2] - TAE has developed a new reactor design that no longer requires the collision of two plasma spheres to initiate reactions, allowing for a smaller, cheaper, and easier-to-operate reactor [2] Group 2 - Google has participated in two funding rounds for TAE, with the previous round in 2022 raising $250 million, and collaboration dating back to 2014 [3] - The introduction of AI has significantly reduced the time and number of experiments needed to optimize reactor parameters from about two months and 1,000 experiments to just a few hours [3] - TAE's reactor can currently generate plasma temperatures of up to 70 million degrees Celsius, with plans to heat plasma to 1 billion degrees Celsius in future commercial devices [3]

Core Insights - The recent State Council meeting approved the "Manufacturing Green Low-Carbon Development Action Plan (2025-2027)", which is expected to boost nuclear energy, environmental protection, and photovoltaic sectors [1] - Trump's announcement of a new nuclear policy aims to initiate the construction of 10 large nuclear power plants by 2030 and quadruple the U.S. nuclear power capacity by 2050, leading to a surge in nuclear-related stocks [1] - Bank of America organized a field trip to leading nuclear fusion research centers in France, including the CEA and ITER, to provide investors with insights into the latest developments in nuclear fusion technology [1][4] Nuclear Fusion Research - Nuclear fusion is considered a key to decarbonization and is viewed as the "holy grail" of energy transition, offering a safe and sustainable path for clean energy [2] - The ITER project, with a budget of $22 billion, aims to demonstrate the feasibility of large-scale nuclear fusion power generation and is a multinational collaboration involving several countries [3][7] - The CEA's WEST tokamak recently set a world record by maintaining nuclear fusion plasma at 50 million degrees Celsius for 22 minutes, contributing to the testing of components needed for ITER [3][20] Technical Challenges and Innovations - Achieving nuclear fusion requires creating plasma at temperatures ten times hotter than the sun, which presents significant engineering challenges, particularly in material science [2][11] - The ITER project aims for a 10:1 energy gain ratio, which will be achieved by scaling up the machine size compared to existing reactors [12] - Key challenges include developing materials that can withstand extreme temperatures and neutron damage, effective heat management, and ensuring the self-recycling of tritium fuel [13] Economic and Geopolitical Aspects - The ITER project involves seven participating countries, sharing costs and intellectual property, highlighting the importance of international cooperation despite geopolitical tensions [8] - The potential for nuclear fusion to provide zero-carbon energy and serve as a heat source for industrial processes could significantly enhance energy security [6] Future Prospects - The timeline for ITER's full operation has been pushed to 2039 due to technical and regulatory delays, but the project is expected to create commercial potential for various technologies [16] - The construction of superconducting magnets for ITER is underway, with the capability to generate a magnetic field strong enough to lift an aircraft carrier [14] - The operational power demand for ITER during peak plasma operation is projected to be between 110 MW and 620 MW, with significant energy consumption for cooling and low-temperature systems [15]