WASHINGTON, D.C. (December 2, 2024) – The Technology Policy Institute today released comprehensive recommendations for maintaining U.S. technology leadership through evidence-based policymaking. The report outlines core principles and specific actions across key technology domains.
“Effective tech policy requires careful analysis of tradeoffs and a focus on measurable outcomes rather than hypothetical concerns,” said Scott Wallsten, President of the Technology Policy Institute. “These recommendations provide a framework for promoting innovation while addressing legitimate policy challenges.”
Core Policy Principles:
- Measure First, Act Purposefully: Target demonstrated problems rather than hypothetical harms
- Target Narrowly, Execute Cleanly: Maintain clear focus on primary objectives
- Emphasize Measurable Outcomes Over Prescriptive Rules
- Promote Innovation Without Picking Winners
- Improve Global Competitiveness Through Openness
Key Policy Recommendations:
Strengthen Cost-Benefit Analysis
- Extend mandatory analysis to independent agencies
- Focus on quantifiable economic impacts
- Separate efficiency and equity considerations
Focus on Consumers and Economic Analysis in Antitrust Policy
- Return to consumer welfare standard
- Ensure antitrust enforcement preserves AI innovation
- Base decisions on rigorous economic analysis
Modernize Broadband Policy
- Adopt technology-neutral policies and subsidies
- Evaluate competition across all broadband technologies
- Favor market competition over price regulation
- Focus universal service programs on core connectivity mission
- Reform spectrum allocation through market mechanisms
Protect Digital Speech & Innovation
- Maintain high barriers for government content regulation
- Preserve platform moderation flexibility
- Protect Section 230 framework
Support Basic Science Without Picking Winners
- Maintain strong federal funding for basic research
- Target interventions narrowly with clear metrics
- Use market-based incentives like prize competitions
Reform Immigration & Data Policy
- Increase H1-B visa quotas
- Combat growing data localization requirements
- Support cross-border information flows
Guide AI Development
- Build evidence base before regulating
- Focus on measuring actual outcomes
- Promote responsible government AI adoption
The full recommendation list with additional detail is available here.
