La orden ejecutiva de Trump sobre IA: ¿un cambio de juego para el dominio de IA de EE. UU. y las valoraciones del sector tecnológico?

The Trump AI Executive Order, signed on December 11, 2025, represents a seismic shift in the regulatory landscape for artificial intelligence in the United States. By centralizing AI governance under a federal framework and preempting state-level regulations, the order aims to eliminate what the administration deems a "patchwork" of conflicting compliance regimes according to a report. This move has sparked intense debate about its implications for tech sector valuations, venture capital flows, and the U.S.'s long-term competitiveness in the global AI race.

Regulatory Shifts and Tech Sector Valuations

The executive order's primary objective is to foster a "minimally burdensome national standard" for AI, prioritizing innovation over state-level safeguards. By targeting laws such as California's AI model disclosure requirements and Colorado's anti-discrimination algorithmic standards, the administration argues that it is removing "burdensome" regulations that stifle technological advancement according to analysis. This has been widely interpreted as a boon for Big Tech firms, which now face reduced compliance costs and regulatory uncertainty.

According to a report by Wedbush Securities, the order has already led to a surge in valuations for major players like Microsoft, Meta, and Google, with analysts labeling it a "major win" for the industry. The administration's emphasis on federal adoption of AI-particularly in defense and infrastructure-has also spurred increased federal contracts, further bolstering corporate bottom lines. For instance, the Genesis Mission, a collaboration between tech giants and the Department of Energy, highlights the government's commitment to leveraging AI for scientific discovery, attracting key players like Nvidia and AMD.

However, critics warn that the order's focus on deregulation risks eroding public trust in AI systems. By removing protections against algorithmic discrimination and deepfakes, the administration may inadvertently expose consumers to harms that could undermine long-term adoption. This tension between innovation and accountability remains a critical unresolved issue.

Venture Capital and AI Infrastructure

The executive order's impact on venture capital (VC) flows is equally significant. By creating a more predictable regulatory environment, the administration has incentivized investment in AI startups and infrastructure. Data from Reuters indicates that venture capital funding for AI-related ventures has surged in the past quarter, with a particular focus on data center development and semiconductor manufacturing.

The AI Action Plan, released in July 2025, further reinforces this trend by offering financial incentives such as tax breaks and loans for infrastructure projects. This has led to a rush to expand data center capacity, a critical component for AI training and deployment. However, experts caution that the energy demands of such projects could strain economic resources, particularly in an era of rising energy costs.

Moreover, the administration's push for open-source AI models is expected to lower barriers for smaller firms and academic researchers, fostering a more competitive ecosystem. Yet, the lack of detailed funding mechanisms for many initiatives raises questions about the sustainability of this growth. As one industry analyst notes, "While the policy environment is favorable, execution will determine whether these investments translate into lasting competitiveness."

U.S. Global Competitiveness: Opportunities and Risks

The Trump administration frames its AI strategy as essential for maintaining U.S. global dominance, particularly in the face of competition from China and the European Union. The AI Action Plan emphasizes deregulation, open-source models, and international partnerships to accelerate innovation according to analysis. By prioritizing "ideologically neutral" AI systems, the administration aims to counter perceived biases in previous regulatory frameworks, such as the Biden-era Blueprint for an AI Bill of Rights.

However, this approach carries risks. Experts highlight the potential for AI misuse, including cyber threats and unaligned artificial general intelligence (AGI), as a major concern. The absence of robust risk mitigation measures in the plan could leave the U.S. vulnerable to long-term ethical and security challenges. Additionally, the administration's departure from Biden-era policies-such as climate and DEI considerations-may complicate international collaboration, particularly with the EU, which has adopted a more precautionary regulatory stance.

Another critical challenge is the reliance on deregulation without corresponding safeguards. While the order streamlines federal permitting for data centers, it does not address labor shortages in critical sectors or the volatility of global semiconductor supply chains according to experts. These gaps could hinder the U.S.'s ability to sustain its AI leadership over time.

Conclusion: A Double-Edged Sword

The Trump AI Executive Order undeniably reshapes the U.S. AI landscape, offering both opportunities and risks. For tech firms and venture capital, the reduced regulatory burden and federal support present a fertile ground for growth. However, the long-term success of this strategy hinges on addressing ethical concerns, ensuring sustainable infrastructure development, and navigating global governance challenges.

As the administration moves forward, stakeholders must balance the urgency of innovation with the need for accountability. The coming years will test whether this regulatory shift truly secures U.S. AI dominance-or whether it accelerates the very risks it seeks to mitigate.