2025年，重庆、成都GDP分别高达3.38万亿和2.48万亿，分列全国第4和第7位；但存量独角兽企业仅10家和8家，位列全国第11、12位，被 GDP排名在两城之后的南京、合肥、武汉、天津反超。 一方面是耀眼的经济总量，一方面是略显黯淡的独角兽数量，重庆和成都的创新生态短板在哪里？2026年重庆两会"1号提案"直指痛点：高能 级创新平台支撑不足、龙头企业创新带动乏力、融合生态支撑效能仍有待加强。 记者丨杨期鑫 实习生郑凝 编辑丨蒋韵 不久前，《2025中国独角兽企业观察报告》发布，21城市观梳理创业邦旗下睿兽分析发布的2023—2025年《中国独角兽企业观察报告》（下简 称《报告》），一幅中国城市创新竞争力的"热力图"清晰展现。 2025年《报告》显示，中国现存509家独角兽企业，近八成密集扎堆在北京、上海、广东、江苏和浙江五地；从城市分布看，北京（120家）、 上海（98家） 的"创新双核"格局依然稳固，深圳（53家）、杭州（35家）、广州（26家）排名其后。 然而，21城市观注意到：对比2025年GDP前十强城市名单，GDP排名全国第4和第7的重庆、成都，却在独角兽企业数量前10城之外。取而代之 的，是 ...

Core Viewpoint - The discussion at the Shanghai Two Sessions focuses on whether the "cold bench" of scientific research can be more stable, emphasizing the shift from tracking research to original innovation and breakthroughs [1] Group 1: Current Research Environment - The current research ecosystem has rigid age thresholds for talent evaluation, which may pressure researchers to pursue quick results rather than long-term projects [1][2] - The concept of "academic age," which measures research experience from the time of obtaining a doctoral degree, is proposed to better reflect a researcher's growth stage rather than their biological age [2] Group 2: Proposed Changes - The introduction of an academic age system aims to provide clear and stable development expectations for researchers at different stages, allowing for a more diverse evaluation system [2][3] - A dual qualification system is suggested, where both academic age and biological age criteria are considered, potentially expanding the age limit for eligibility [3] Group 3: Flexibility in Evaluation - The proposal includes a flexible recognition mechanism for academic age, allowing for deductions based on verified interruptions such as industry experience, military service, or parental leave [3] - The goal of the evaluation system is to alleviate anxiety among researchers and encourage them to engage in long-term research without the pressure of age-related constraints [3]

Group 1 - The core viewpoint emphasizes the need for high-level technological self-reliance and the development of new quality productivity as a direction for current and future technological innovation and industrial upgrading in China [3][4] - China's economy is transitioning from factor-driven to innovation-driven growth, necessitating higher quality in technology supply and addressing challenges in supply chain security and high-quality development [3][4] - The relationship between technological self-reliance and new quality productivity is dialectical, with the former directly influencing the emergence and transformation of new technologies and industries into productive forces [4] Group 2 - In 2024, China's total R&D investment is expected to exceed 3.6 trillion yuan, a 48% increase from 2020, with an R&D intensity of 2.68%, surpassing the EU average [4] - China's ranking in comprehensive innovation capability has improved from 14th in 2020 to 10th in 2024, with the country leading the world in high-level international journal publications and international patent applications for five consecutive years [4] - The rise of new quality productivity is exemplified by China's dominance in the global sales of new energy vehicles, steady progress in the commercial operation of the C919 aircraft, and the expanding scale of the artificial intelligence industry [4] Group 3 - The strategy involves collaborative efforts across four dimensions: original innovation, integration of production and innovation, aggregation of elements, and regional collaboration to build a comprehensive support system [5][6][7] - Strengthening original innovation is crucial, focusing on basic research and application-oriented research, particularly in foundational disciplines and cutting-edge fields like artificial intelligence and quantum computing [5] - Deepening the integration of production and innovation is essential for the practical application of technological achievements, requiring collaboration between enterprises, universities, and markets [6] Group 4 - Optimizing the innovation ecosystem involves efficient allocation of innovation resources, addressing uneven distribution and accessibility issues, and enhancing support for small and medium-sized enterprises [6][7] - Promoting regional collaboration is key to balanced development, necessitating the establishment of regulatory frameworks for cross-regional cooperation, resource sharing, and talent mobility [7] - The implementation of policies to support young researchers and startups, along with the demonstration role of resource-rich areas, is vital for fostering a collaborative and innovative environment [7]

Core Insights - Beijing is fostering an innovation culture that tolerates failure and supports non-consensus projects, signaling its commitment to original innovation and disruptive ideas, thereby helping young talents realize their dreams and stand out [1][4] Group 1: Non-Consensus Innovation - Non-consensus innovation refers to original scientific research that significantly diverges from existing knowledge systems, characterized by high innovation, risk, and controversy, but holds substantial potential for transformative breakthroughs [2] - Traditional views suggest that scientists can resolve disagreements with sufficient evidence, yet historical scientific discourse often reveals persistent divergences even with the same data [2] Group 2: Support Mechanisms - Beijing has established a mechanism for selecting non-consensus projects through expert recommendations, providing institutional support for researchers to challenge existing knowledge systems and stimulate original innovation [3] - The "one vote funding" system allows projects with disruptive and forward-looking ideas to receive funding even with just one expert's endorsement, breaking the traditional majority rule [3] Group 3: Youth Engagement - Over 75% of the first batch of non-consensus innovation project leaders are researchers under 45, indicating a strong focus on nurturing young scientific talent [4] - The natural science fund plans to establish a special initiative for researchers under 35, enhancing opportunities for independent exploration and collaboration with key industry players [4] Group 4: Cultural Environment - The initiative aims to convey a clear message that the scientific fund is willing to back original innovations and support young talents in their pursuit of groundbreaking ideas, fostering a culture that respects individuality and encourages innovation [4][5]

Group 1 - The "Huairou Science City Urban Living Room One-Stop Innovation Service Platform" has been launched to enhance the construction of the Huairou Comprehensive National Science Center, addressing common issues faced by innovation entities such as resource dispersion and information asymmetry [1] - The platform shifts the service model from "enterprises seeking services" to "services seeking enterprises," focusing on three core functionalities: service aggregation, intelligent precision, and efficient matching [1] - The platform integrates over 60 professional institutions, offering more than 230 high-frequency services covering the entire lifecycle of enterprises, including business, finance, intellectual property, and technology finance [1] Group 2 - Huairou Science City is evolving from a major technology infrastructure hub to an innovative community that deeply integrates basic research, technology breakthroughs, industrial transformation, and professional services [2] - By 2025, all 29 scientific facility platforms from the "13th Five-Year Plan" will be operational, with 17 facilities open to global users for a total of 1.64 million hours, accelerating the emergence of original innovative results [2] - The city is focusing on developing the high-end scientific instrument industry, with over 300 high-end instrument and sensor companies expected to establish operations during the "14th Five-Year Plan," including specialized "little giant" enterprises and high-tech companies [2]

Core Viewpoint - The article discusses the rapid advancements in artificial intelligence (AI) and the intense competition between domestic and international companies, highlighting the differences in focus between the two markets [3][4]. Group 1: Recent Developments in AI - Meta has released a new model codenamed "Avocado," improving computational efficiency by 10 to 100 times [3]. - Google has opened its world model Genie 3, allowing users to create and explore 3D virtual worlds through natural language descriptions [3]. - Domestic companies like Alibaba and ByteDance are also making significant strides, with Alibaba launching a model with over one trillion parameters [3]. Group 2: Competition Dynamics - The competition in AI has reached a fever pitch, with major tech companies investing heavily, including a reported total capital expenditure of approximately $650 billion from the four major U.S. tech giants for 2026 [3]. - The "AI red envelope war" in China has seen tech giants invest over 4 billion yuan to capture the "AI super entrance" [4]. Group 3: Differences in Focus - International companies prioritize breakthroughs in underlying technology and model capabilities, while domestic firms are more focused on application and commercial realization [4][5]. - Domestic companies excel at transforming new technologies into commercial successes but often lag in original innovation [5][6]. Group 4: Challenges and Opportunities - The disparity in innovation focus is linked to differences in market foundations, technological reserves, and business environments between China and the U.S. [6]. - Despite significant investments in foundational technologies, domestic firms still face challenges in original innovation and product iteration speed compared to their international counterparts [6]. Group 5: Vision for the Future - The article emphasizes the need for Chinese tech companies to shift their focus towards original innovation to avoid being outpaced by international competitors [7]. - It calls for a cultural shift towards innovation and greater support for foundational research from leading tech firms to achieve the national goal of technological self-reliance [7].

Core Insights - The rapid development of artificial intelligence (AI) is highlighted by significant advancements and investments from major tech companies both domestically and internationally [1][2][3] Group 1: International Developments - Meta has released a new model codenamed "Avocado," achieving a 10 to 100 times improvement in computational efficiency [1] - Google has opened its world model Genie 3, allowing users to create and explore 3D virtual worlds through natural language descriptions [1] - Major US tech companies have announced a capital expenditure plan totaling approximately $650 billion by 2026 [1] Group 2: Domestic Developments - Alibaba has launched the Qwen3-Max-Thinking model with over one trillion parameters and plans to release Qwen 3.5 soon [1] - The domestic AI landscape is characterized by significant investments, with companies like Alibaba, Tencent, and ByteDance revealing substantial AI investment plans [1][2] - The competition for the "AI super entrance" has led to a "red envelope war," with over 4 billion yuan being invested [2] Group 3: Competitive Landscape - The competition in AI has reached a fever pitch, with differences in focus between the US and Chinese markets; the US emphasizes foundational technology breakthroughs, while China prioritizes application and commercialization [2][3] - Domestic companies excel in transforming new technologies into commercial success but often lag in original innovation compared to their international counterparts [3][4] Group 4: Innovation and Future Directions - There is a recognized gap in original innovation and product iteration speed between domestic and international companies, raising concerns about the long-term sustainability of current business models [4] - The need for a shift in focus towards original innovation is emphasized, as merely pursuing commercial success may lead to vulnerabilities in the face of global competition [4][5] - The call for tech giants to support foundational research and foster an innovative culture is crucial for achieving technological self-reliance and competing with international leaders [5]

Core Insights - The article emphasizes the importance of original innovation alongside commercial success in the tech industry, particularly in the context of rapid advancements in artificial intelligence (AI) [1][5]. Group 1: AI Developments - Major tech companies are making significant strides in AI, with Meta's new model improving computational efficiency by 10 to 100 times, and Google's Genie 3 enabling the creation of 3D virtual worlds through natural language [1]. - Domestic companies like Alibaba and Tencent are also heavily investing in AI, with Alibaba releasing a model with over one trillion parameters and Tencent planning substantial AI investments [1][2]. Group 2: Competitive Landscape - The competition in AI has intensified, with a notable "AI red envelope war" in China, where tech giants are investing over 4 billion yuan to capture the "AI super entrance" [2]. - The article contrasts the focus of U.S. companies on foundational technology breakthroughs with Chinese firms' emphasis on application and commercialization [2][3]. Group 3: Innovation and Market Dynamics - There is a notable difference in innovation strategies, with Chinese companies excelling in commercial success but lagging in original innovation compared to their foreign counterparts [3][4]. - The article suggests that the current focus on immediate commercial success may hinder long-term innovation capabilities, warning that neglecting original innovation could lead to vulnerabilities in the future [4][5]. Group 4: Call for Change - The article calls for Chinese tech companies to prioritize foundational research and innovation, highlighting that the lack of ambition and mission-driven focus may be a significant barrier to achieving technological independence [5]. - It stresses the need for a cultural shift towards innovation and the role of government in guiding and supporting these efforts to realize the dream of technological self-reliance [5].

Core Viewpoint - The Chinese healthcare industry is at a historical turning point, transitioning from "following innovation" to "leading innovation," with the emergence of trillion-dollar companies becoming a tangible future rather than a distant dream [4][5]. Industry Milestones - By the end of 2025, significant milestones include Eli Lilly becoming the first healthcare company with a market value exceeding $1 trillion, the Hong Kong Stock Exchange leading global financing with over $36 billion, and 3SBio's $1.25 billion upfront payment, indicating China's innovative drugs gaining international pricing power [4][5][7]. Transformation of China's Healthcare Industry - China has evolved from being a major pipeline buyer to a core seller in global business development (BD) transactions, now accounting for 20% of the market, particularly in areas like Antibody-Drug Conjugates (ADC) [7]. - Despite this progress, there remains a significant gap in original innovation compared to the U.S., which is a key reason for the shift in national policy towards new drug innovation [7][8]. Investment Directions - **Direction One**: Investing in original innovations based on top Chinese research institutions is expected to yield high returns, despite the high risks associated with crossing the "valley of death" in technology and commercialization [8][10]. - **Direction Two**: Embracing "three no" companies (no revenue, no profit, not listed) with genuine innovative technologies is becoming a core strategy for professional funds, supported by a robust capital market that allows for high valuations [11][13]. - **Direction Three**: The integration of AI in healthcare is evolving from a mere enabling tool to a creator of new entities, with AI expected to play significant roles in clinical diagnosis, drug development, and even home health management [14][16]. - **Direction Four**: A new era of Chinese multinational corporations (MNCs) is anticipated, with several leading healthcare companies expected to surpass a market value of one trillion, leveraging both internal innovation and global acquisitions [17][19]. Future Outlook - The future of the Chinese healthcare industry is characterized by a convergence of policy, capital, technology (especially AI), and market dynamics, creating an environment ripe for investment in original innovations, pure innovation companies, and AI-driven healthcare solutions [19].

Core Viewpoint - The article emphasizes the leadership of Wang Xiaodong at the Beijing Institute of Life Sciences (北生所) and his role in fostering a culture of innovation and entrepreneurship among scientists, leading to the emergence of numerous biotech companies in China [1][4][18]. Group 1: Wang Xiaodong's Leadership and Impact - Wang Xiaodong is regarded as a spiritual leader among scientists at 北生所, creating an environment that encourages original innovation [1][4]. - His approach to leadership focuses on academic guidance rather than administrative control, promoting a culture of open discussion and collaboration among researchers [38][46]. - The "百济效应" (Baiyi Effect) has inspired many scientists to start their own companies, contributing to a wave of entrepreneurship in the biotech sector [18][20]. Group 2: Company Development and Challenges - 百济神州 (BeiGene) was established to address the lack of cancer drugs in China, with a focus on developing first-in-class therapies [7][21]. - The company faced significant challenges during its early years, including navigating the complexities of drug development and clinical trials [10][12]. - Wang Xiaodong's second venture, 维泰瑞隆 (VitaRong), aims to tackle the aging population issue in China, reflecting his commitment to improving the quality of life for the elderly [11][12]. Group 3: Research Environment and Funding - The funding situation for 北生所 has improved significantly, with the Beijing government providing annual support of 200 million yuan, enhancing the institute's research capabilities [28][29]. - The collaboration with Tsinghua University has also facilitated access to student resources, addressing the challenge of recruiting graduate students for research [28][29]. - The institute has established various centers to bridge the gap between basic research and industrial application, enabling scientists to translate their findings into marketable products [19][28]. Group 4: Innovation and Academic Culture - The article highlights the importance of fostering a culture of scientific inquiry and curiosity, which Wang believes is essential for driving innovation [42][47]. - The success of 北生所 in producing high-impact research papers reflects the effectiveness of its academic model, which emphasizes collaboration and knowledge sharing [28][47]. - The competitive environment among researchers at 北生所 has contributed to a significant increase in the quantity and quality of scientific output over the years [48].