Various tech giants, startups, and companies like Amazon, Meta, Uber, Anthropic, Microsoft, Mistral AI, CrowdStrike, and JPMorgan Chase have shared their perspectives on U.S. AI regulation and growth.
Amazon advocates for energy infrastructure investments, global AI leadership, workforce education in AI, and AI adoption in government agencies.
Anthropic calls for AI threat testing, chip export controls, energy focus for AI, and monitoring economic impacts of AI.
Meta highlights the importance of open-source AI models, fair use clarity, federal agency adoption of open models, and warns against stifling innovation with state rules.
Microsoft emphasizes enhancing computational and energy resources, accessing high-quality data, promoting trust and security, and upskilling the workforce for an AI-driven economy.
Mistral AI supports open-source innovation, advocates against monopolies, promotes global chip trade, and encourages global AI cooperation.
Uber stresses the importance of avoiding overregulation on low-risk AI, eliminating patchwork state rules, using existing laws, and adopting a risk-based framework for AI regulations.
CrowdStrike focuses on AI for cybersecurity, urges AI regulation that doesn't hinder innovation, and emphasizes protecting AI systems and training data.
JPMorgan Chase calls for greater AI governance, suggests using existing frameworks, sector-specific AI regulation, leveling the playing field for non-banks, and unifying federal and state regulation.
Overall, these companies aim to shape U.S. AI policy by advocating for infrastructure investments, open innovation, regulatory consistency, and workforce development to drive AI growth.
Their recommendations focus on areas like energy, chip controls, open-source models, workforce education, cybersecurity, and harmonizing regulatory frameworks across federal and state levels.