Generative Now | AI Builders on Creating the Future Inside AI Policy with FAI’s Chief Economist Sam Hammond
Jul 11, 2025
Sam Hammond, Chief Economist at the Foundation for American Innovation, dives into AI policy and its rapid evolution. He discusses the crucial infrastructure needed for AI development and the legislative responses to keep pace with technology. Sam highlights the complexities of fair use regarding AI training data and emphasizes the urgent need for effective regulation. He also addresses the looming labor market disruptions caused by AI, advocating for innovative policy solutions while maintaining an optimistic outlook on future advancements in AI.
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AI Policy’s Critical Inputs
- Key AI development inputs are data, algorithms, talent, energy, and chips.
- Energy and chip policy stand as critical bottlenecks for US AI competitiveness.
Secure Semiconductor Supply Chain
- Governments should invest in export control enforcement and scalable verification for chip exports.
- Supporting whistleblower programs can enhance semiconductor supply chain security.
Fair Use Shields AI Training Data
- Training AI on copyrighted data is generally protected by fair use.
- What poses risk is the direct copying or memorization of copyrighted outputs by AI.
