US Tech Policy: Navigating AI & Crypto for Global Leadership

US Tech Policy: Navigating AI & Crypto for Global Leadership

web3 with a16z crypto Nov 05, 2025 english 6 min read

Analysis of US AI and crypto policy shifts, focusing on innovation, regulatory certainty, global competition, and infrastructure to secure future tech leadership.

Key Insights

  • Insight

    The US is transitioning from "regulation by enforcement" to a proactive legislative framework for crypto, exemplified by the Genius Act for stablecoins and the proposed Clarity Act for other tokens.

    Impact

    Provides crucial long-term stability and certainty, encouraging domestic investment and innovation in the digital asset space, potentially positioning the US as a global crypto hub.

  • Insight

    Excessive state-level regulations and "regulatory capture" tactics by some large AI companies threaten permissionless innovation in the US AI sector.

    Impact

    Could severely hinder the development of new AI startups and models, ceding global leadership to countries with more favorable regulatory environments.

  • Insight

    The current patchwork of state-level AI regulations is unsustainable and a significant burden for businesses, necessitating a single, preemptive federal standard.

    Impact

    A unified national market would reduce compliance costs, accelerate AI development, and maintain America's competitive advantage against global rivals.

  • Insight

    Restrictive US export policies on AI hardware and software to allies are driving these nations to adopt Chinese technology, inadvertently bolstering China's tech ecosystem.

    Impact

    Weakens the global reach and influence of American technology, creating a "Huawei belt and road" for AI, and ceding strategic markets to adversaries.

  • Insight

    The narrative of "AI doomerism" is being used to justify increased government control, regulation, and potential censorship of AI, rather than addressing real, immediate risks.

    Impact

    Risks leading to "Orwellian AI" through mandated ideological biases and information control, stifling open innovation and critical thinking, potentially harming entrepreneurship in content creation.

  • Insight

    Contrary to "imminent AGI" fears, AI is proving to be a highly specialized, democratizing tool that augments human capabilities ("middle to middle"), rather than replacing them entirely.

    Impact

    Promotes widespread adoption across various industries, fosters new entrepreneurial opportunities, and improves productivity without necessarily leading to massive job displacement.

  • Insight

    Open-source AI development is critical for maintaining software freedom, decentralization, and providing alternatives to consolidated closed ecosystems, yet the US is lagging behind China in this area.

    Impact

    A lack of robust US open-source AI could leave American users and enterprises reliant on foreign-developed or monopolized technologies, potentially compromising data control and innovation.

  • Insight

    The rapid expansion of AI infrastructure, particularly data centers, faces significant challenges from energy supply limitations, permitting restrictions, and local opposition.

    Impact

    Slows down the physical build-out necessary for AI development, increasing operational costs, and potentially limiting the scale of US AI compute capabilities.

Key Quotes

"I think that from a policy standpoint, I mean we can talk about the similarities and differences. The the approaches are a little different. Um I think with crypto, the main thing that's needed is regulatory certainty."
"The whole basis of Silicon Valley success, the reason why it's really the the crown jewel of the American economy and the envy of the rest of the world... is because of permissionless innovation."
"To me, this is the the biggest risk of AI, actually, is it's not it was not described by James Cameron, it was described by George Orwell. You know, it's in my view, it's not the Terminator, it's 1984."

Summary

Navigating the Future: Regulatory Crossroads for AI and Crypto

The United States stands at a pivotal juncture, grappling with the rapid evolution of artificial intelligence and cryptocurrency. Recent policy shifts and ongoing debates highlight a critical need to balance innovation with responsible governance, steering clear of pitfalls that could undermine American competitiveness on the global stage. For investors and business leaders, understanding these dynamics is paramount to navigating the technological landscape of the coming decade.

Crypto's Path to Clarity

For years, the US crypto industry endured "regulation by enforcement," a punitive approach that drove significant talent and capital offshore. However, a landmark shift is underway. The signing of the stablecoin bill (Genius Act) has already yielded unexpectedly positive consequences, fostering institutional engagement with digital assets. The next crucial step is the Clarity Act, designed to provide a comprehensive regulatory framework for the remaining 94% of tokens. This legislative effort aims to establish long-term stability and certainty, empowering entrepreneurs to build and innovate within defined legal boundaries. This proactive regulatory stance seeks to reclaim America's position as the global leader in crypto innovation, replacing ambiguity with a predictable, competitive environment.

The AI Race: Innovation vs. Overregulation

In the realm of Artificial Intelligence, the US faces a different, yet equally urgent, set of challenges, particularly in its competition with China. While the previous administration leaned towards heavy-handed regulation driven by fear-mongering, the current focus is on unleashing innovation. A major threat to this objective is the burgeoning patchwork of state-level AI regulations and the risk of "regulatory capture" by incumbent players pushing for pre-approval systems. Such policies stifle the permissionless innovation that has been the bedrock of Silicon Valley's success.

The need for a single federal AI standard is becoming increasingly apparent to avoid crippling startups with burdensome compliance requirements. Furthermore, critical infrastructure—especially energy for data centers—remains a bottleneck, demanding streamlined permitting and investment in power generation to support the AI boom.

Global Tech Competition and Open Source Imperatives

A key misstep in the global AI race is the current US export policy. By restricting access to American AI hardware and software for allies, the US is inadvertently pushing these nations into the arms of competitors like China, who are aggressively diffusing their technology globally. This creates a "Huawei belt and road" for AI, undermining American influence and expanding adversarial tech ecosystems. A strategic shift towards a pro-export, ecosystem-building mentality is essential.

Additionally, the importance of open-source AI cannot be overstated. While China currently demonstrates a lead in open-source models, Western initiatives are crucial to ensure software freedom, decentralization, and diverse technological alternatives, countering market consolidation and potential "Orwellian AI" scenarios where information could be controlled or distorted.

Dispelling "AI Doomerism"

A pervasive narrative of "AI doomerism" is also impacting policy, often used to justify expansive government control over AI and information. This fear-based approach, likening AI to nuclear weapons or an "imminent superintelligence," overlooks the current reality of AI as a specialized, "middle to middle" tool that synergizes with human cognition. The focus should be on preventing "Orwellian AI"—systems that lie or distort information to serve political agendas—rather than hypothetical existential risks.

Conclusion

The confluence of crypto's regulatory maturation and AI's growth trajectory presents both immense opportunities and significant policy challenges for the US. By fostering regulatory clarity for crypto, championing permissionless innovation in AI, strategically re-evaluating export controls, and investing in foundational infrastructure and open-source alternatives, the United States can secure its leadership in these pivotal technologies. The choices made today will determine whether America harnesses these innovations for widespread empowerment and economic growth, or cedes its advantage to rivals.

Action Items

Prioritize bipartisan support and legislative action to pass the Clarity Act, establishing a comprehensive regulatory framework for non-stablecoin crypto tokens.

Impact: Provides crucial legal certainty and stability for crypto entrepreneurs, attracting capital and fostering long-term innovation within the US digital asset market.

Work to enact a federal AI standard that preempts state-level regulations, focusing on light-touch governance rather than onerous compliance burdens.

Impact: Streamlines the regulatory environment, allowing AI startups to scale nationally without navigating a complex patchwork of laws, thereby boosting American AI competitiveness.

Revise US export policies for AI technologies to encourage sales to allies, focusing on ecosystem building rather than hoarding.

Impact: Strengthens global partnerships, expands the market for American AI products, and strategically counters China's growing technological influence worldwide.

Invest in and support Western-led open-source AI projects to ensure software freedom, decentralization, and robust alternatives to closed systems.

Impact: Fosters a more diverse and resilient AI ecosystem, democratizes access to advanced models, and mitigates the risk of market monopolization or foreign dominance.

Streamline permitting, reduce NIMBYism, and invest in diverse energy sources (e.g., natural gas for short-term, nuclear for long-term) to power data center expansion.

Impact: Ensures sufficient compute capacity for AI development, lowers operational costs, and supports the physical infrastructure necessary for sustained technological leadership.

Actively oppose regulations and policy narratives that promote algorithmic bias, censorship, or government control over AI outputs, such as "algorithmic discrimination" laws.

Impact: Preserves the integrity of AI models, protects freedom of information, and prevents the weaponization of AI for political or ideological control, vital for maintaining trust and open innovation.

Tags

Keywords

AI policy USA Crypto regulation US China AI race Open source AI Tech innovation Stablecoin bill Clarity Act crypto AI infrastructure Permissionless innovation Export controls