Summary of Key Points
The 2026 U.S. report, "Science: A New Golden Age," is not merely an ordinary policy update; it represents a declaration aimed at reshaping the global balance of technological power. It marks the end of the era of "borderless science" and the advent of technological nationalism. Domestically, the U.S. intends to overhaul its research system, shifting the government's role from a funding provider to a catalyst for innovation, supporting scientists using venture capital principles. Internationally, it seeks to escalate technological competition into a "systemic cold war," allying with partners to control key technology supply chains and establish global norms. For China, this report targets both our national-centric development model and our approach to innovation reform.
I. The U.S. Research System Needs a Transformation: From Project-Focused Funding to Investment in Individuals and Closed-Cycle Innovation
The traditional U.S. research approach was linear: first conduct basic research, then apply it, and finally develop products. The report argues that this model is outdated. Basic research and application should be integrated like interlocking gears, with companies not only using technology but also participating in its development (for example, Google and NVIDIA spend billions annually on research, more than the government does).
The government's role is changing: from being the largest funder to an efficient catalyst for innovation. How? By adopting venture capital practices: focusing on the capabilities of scientists rather than the quality of projects, funding outcomes rather than the process, and providing "fast-track" funding that allows for experimentation (even with unconventional ideas).
More importantly, there is a push for a closed cycle: federal laboratories (such as NASA and those under the Department of Energy) should be fully open to companies so that research can quickly translate into products domestically, preventing technology from leaking out. In short, the U.S. aims to link innovation with manufacturing, ensuring that innovation remains within its own borders.
II. Global Technological Competition Enters an Era of Alliances and Power Struggles: Supply Chains as Weapons, Rules Made by the United States
The report elevates competition between major powers from a policy level to a systemic one, focusing on three key areas:
1. Weaponization of Supply Chains: Semiconductors, critical minerals, and AI infrastructure are identified as strategic assets that must not be compromised. These are integrated with the "Genesis Mission" (a initiative to combine supercomputing and AI models) to create a tripartite system of technology, military, and industry. The goal is not just to decouple but to accelerate innovation and widen the technological gap.
2. Campus-Based Rule-Making: The U.S. aims to form alliances such as the "Silicon Peace Alliance" to control AI chips and semiconductor equipment, ensuring that future global technology standards (e.g., AI ethics and intellectual property) are set by U.S.-led entities, bypassing multilateral organizations like the UN or WTO. Tech giants (OpenAI, NVIDIA) are also aligned with national strategies, legally serving their countries.
3. Politicization of Talent: The U.S. seeks to attract top global scientists while preventing them from joining competitors. This includes offering attractive scholarships and tightening visa policies to draw STEM talent from countries like China and India.
III. China's Technological Catch-Up Is Under Scrutiny: The National System Faces Challenges, and the Risk of Decoupling Increases
While the report does not explicitly target China, its provisions are aimed at addressing China's development model:
1. Strategic Level: The U.S. plans to adopt a similar national-centric approach but with a more market-oriented focus, drawing on models like ARPA (Advanced Research Projects Agency) to encourage bold project management and corporate participation, potentially offsetting China's strengths in concentrating resources on major initiatives.
2. Industrial Level: The U.S. aims to revive its manufacturing base, particularly in semiconductors, directly challenging China's strategy of using markets to acquire technology and supporting research through manufacturing. In the future, the U.S. and its allies may form exclusive alliances for advanced technologies (e.g., EUV lithography machines), making it harder for China to access these technologies.
3. AI Field: The U.S. is setting standards for "AI for Science," using supercomputing and AI models to enhance scientific productivity and promoting reproducible, transparent research methods. Although China has extensive AI applications, it faces shortcomings in high-end computing power (GPUs) and foundational models; failing to meet these standards could lead to isolation.
4. Talent Level: The U.S. is relaxing restrictions on scientists, providing longer-term funding and fewer paperwork requirements, which may attract top talent. However, this also prompts China to reevaluate its research culture and give scientists more freedom.
IV. How Long Will This Report Have an Impact? It Could Unfold a New Technological Paradigm for Decades
Is this report the "Bush 2.0" (similar to the 1945 report that established U.S. technological dominance) or just a political slogan from Trump?
- Potential for Long-Term Change: If it leads to legislation (e.g., the establishment of new agencies like the "Meta-Science Unit" or "AI Native Institution"), it could radically transform the U.S. research ecosystem and define the scientific landscape for the next 30 years.
- Political Risks: New administrations might modify some aspects (e.g., Democrats may place more emphasis on climate equity), but the core logic of technological competition will remain unchanged, as global competition has intensified, and there is no return to a borderless approach to science.
Regardless, this report signifies a new paradigm: science must serve national competitiveness, AI must become a national infrastructure, and federal funding should generate "technological sovereignty." This is the consensus among U.S. elites.
V. How Should China Respond?
China should not simply copy the U.S. approach but rather reconstruct its own innovation framework:
1. Reduce Bureaucracy: Simplify research processes (e.g., shorten review times and reduce redundant reporting), and pilot systems where project managers make decisions about research directions and funding.
2. Reevaluate Talent Assessment: Move away from focusing solely on titles and papers, promote merit-based evaluations, and encourage young scientists and unconventional thinkers to experiment with unproven ideas.
3. Invest in AI for Science: Similar to the U.S.'s "Genesis Mission," integrate supercomputing, AI models, and scientific instruments into national infrastructure to address shortcomings in high-end computing and foundational models.
4. Leverage Manufacturing Advantages: Instead of merely trying to attract technology through manufacturing, use manufacturing as a platform for research (e.g., in renewable energy and electric vehicles).
5. Seek Global Influence: Actively participate in multilateral initiatives in AI ethics and biotechnology, proposing rules that counter the U.S.'s approach.
Conclusion
This report is both a declaration of U.S. technological dominance and a catalyst for China's innovation reform. A true global technology powerhouse is one where systems can transform innovative ideas into forces that change the world. The U.S. has already begun its own transformation, and China's response will determine the global landscape for the next 80 years.