In response to the Office of Science and Technology Policy's Request for Information, Google has proposed a comprehensive framework to strengthen U.S. AI leadership. The tech giant emphasises policy reforms addressing infrastructure challenges, government modernisation, and international cooperation – critical factors for enterprises planning AI implementation at scale.
Kent Walker, President of Global Affairs at Google & Alphabet, frames AI as "a breakthrough in how we make breakthroughs," highlighting its transformative potential across healthcare, scientific discovery, and broader economic development.
The first pillar focuses on infrastructure investment – a primary concern for enterprises deploying large-scale AI solutions. Google calls for federal and local government collaboration to address surging energy requirements essential for AI infrastructure expansion. This directly impacts enterprise deployment costs and scalability options, particularly for compute-intensive applications.
For multinational enterprises, Google's recommendations on export controls strike a balance between national security and market access. The proposal advocates for controls that protect security interests while enabling American companies to export and provide AI services in global markets – a critical consideration for enterprises with international operations.
Data access remains a fundamental enterprise concern, with Google supporting "policy frameworks that preserve access to data for fair learning." The company further recommends a risk-based approach to AI applications built on existing regulatory frameworks, potentially simplifying compliance for businesses already navigating complex regulatory environments.
To prevent fragmented compliance requirements, Google advocates for federal preemption of state-level rules on frontier AI development.
The second pillar addresses government AI adoption, with recommendations that mirror enterprise best practices. Google suggests implementing multi-vendor, interoperable AI solutions and streamlining procurement procedures – approaches that could influence enterprise technology governance models and establish standards for responsible AI deployment.
The third pillar extends to international cooperation, with Google emphasising market-driven technical standards development. For global enterprises, Google's recommendation that the U.S. build on the Commerce Department's leadership role with the International Standards Organisation could signal more consistent cross-border compliance frameworks.
Google's recommendations directly address critical enterprise pain points including infrastructure limitations, regulatory uncertainty, and international market access. By aligning policy frameworks with business needs, the proposed approach could significantly reduce implementation barriers for organisations at various stages of AI maturity.
For CIOs and CTOs planning long-term AI strategies, Google's emphasis on interoperability and standardisation offers a potential roadmap for sustainable technology investment. The focus on coordinated international approaches may particularly benefit enterprises operating in multiple regulatory environments.