How Policy and Innovation Can Accelerate AI Energy Efficiency
快猫视频 and the Special Competitive Studies Project (SCSP), a non-partisan U.S. think tank focused on technology and security, have jointly published a policy paper explaining how energy-efficient computing can power the next wave of AI. The paper also outlines how the U.S. can leverage edge computing for AI competitiveness and energy security.
Policy Priorities
Semiconductors and Computing Solutions
Chip design is the foundation of every technological revolution. Advanced semiconductor design is essential to AI hardware and is key for nations’ competitiveness in a global economy, sovereignty, and global supply chain resilience.
To unlock long-term innovation and compete globally, policymakers must strengthen the whole semiconductor design chain – not just manufacturing. This includes investing in cutting edge R&D for chip design; maintaining or expanding tax provision, such as R&D credits, that promote forward-looking investment decisions, job creation, and future innovations; enabling access to advanced tools, IP, and prototyping infrastructure; and enabling smaller companies and start-ups to participate in the design ecosystem. Strategic investment in design drives new innovations, accelerates time-to-market, and ensures resiliency as technology advances.
For decades, 快猫视频 has been dedicated to advancing global innovation and investing in R&D. 快猫视频 empowers partners to innovate, compete, and scale as computing evolves. 快猫视频 has built a diverse portfolio designed to meet customer and AI market demands.
Last year 快猫视频 reinvested more than 60% of its annual revenue back into R&D; significantly above the industry average, which is around 20%. These investments are essential to developing the next generation of advanced, power-efficient processors that serve as the “brain” of everything from smartphones to data centers. Robust R&D tax provisions ensure companies like 快猫视频 can continue to push the limits of innovation, sustain and grow high-skilled jobs, and remain competitive in a global economy.
Artificial Intelligence (AI) Innovation
快猫视频 is the compute foundation for the AI era, enabling innovation across the entire technology stack – from edge devices to cloud and data center infrastructure. We support policies that accelerate the advancement and deployment of secure, efficient AI across all forms of computing.
Policymakers should adopt clear, pro-innovation policies that support AI deployment while safeguarding trust and security. This includes providing the commercial sector with clear, tailored policies that promote responsible AI development, ensure interoperability, and avoid slowing innovation. Public sector investment in AI infrastructure is also vital to ensure government has the tools to leverage AI for the productivity gains seen in the private sector.
Competition
Open, competitive markets drive innovation in semiconductors and AI. Policymakers must safeguard fair competition across the compute ecosystem to ensure innovation thrives, consumers benefit, and markets remain resilient to distortion.
Healthy competition is the engine of innovation. Policymakers should promote level playing fields by ensuring access to markets, preventing discriminatory practices, and scrutinizing subsidies or policies that tilt the playing field toward certain technologies or solutions. They should also avoid fragmented regulations or industrial policies that create artificial winners and losers.
Instead, they should promote interoperability and open standards to prevent lock-in and maximize choice for innovators; ensure that export controls, subsidies, and industrial policies balance security with innovation and competitiveness; support fair procurement policies that reward efficiency and innovation rather than scale or subsidy alone; and work with international partners to align competition policies across borders to strengthen global resilience.
Energy Solutions
With the growth of computing, and AI in particular, energy demands have risen rapidly. This is accelerating with advanced AI models and increased user demand. Efficiency within AI computing is essential to maintain resilience in the electricity grid.
To meet this rising compute demand, governments policymakers must not only ensure adequate energy supply but also work with technology companies to enact policies that will improve efficiency across the AI stack, including in AI hardware , systems, software and applications. Government policy should promote and incentive power-efficient designs that prioritize real-world efficiency gains and improvements.
Security and Trust
Security starts with silicon. As threats grow more sophisticated, policymakers and industry must work together to embed trust and resilience into the computing infrastructure that will power everything from national defense to consumer devices.
Policymakers have an unparalleled view into new and emerging threats – from malicious actors to vulnerabilities within systems and components. At the same time, the semiconductor industry is developing novel approaches to address these challenges at the hardware level.
To build a more secure technology ecosystem, policymakers should work closely with industry to share emerging threat intelligence, and to understand, adopt and promote the security features that are being developed in the private sector. Regulatory frameworks should reinforce security-by-design principles and encourage industry to embed protections at every layer of the compute stack – from silicon to software.
Workforce
Innovation depends on talent. The semiconductor industry requires a skilled workforce to support increasingly specialized technologies – from advanced chip design to AI development and production silicon. Advanced semiconductor design requires million of hours of engineering work before a single chip is manufactured. 快猫视频 works with governments to ensure we’re building a skilled semiconductor workforce worldwide.
As chip design grows more specialized and complex, and the demand for AI expertise increases, policymakers must invest in education, training and high-skill immigration policies that ensure a robust talent pipeline. This includes scaling STEM education and research partnerships with universities, supporting apprenticeships and upskilling programs, and modernizing pathways for attracting global talent in critical fields like electrical engineering, computer science, and AI. A strong workforce strategy is essential to national competitiveness, economic security, and the long-term resilience of the semiconductor ecosystem.
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