Former President Donald Trump has introduced a new artificial intelligence initiative that places a strong emphasis on limiting federal regulations and addressing what he describes as political bias within AI systems. As the use of artificial intelligence rapidly expands across various sectors—including healthcare, national security, and consumer technology—Trump’s approach signals a departure from broader bipartisan and international efforts to apply tighter oversight over the evolving technology.
Trump’s latest proposal, part of his broader 2025 campaign strategy, presents AI as both an opportunity for American innovation and a potential threat to free speech. Central to his plan is the idea that government involvement in AI development should be minimal, focusing instead on reducing regulations that, in his view, may hinder innovation or enable ideological control by federal agencies or powerful tech companies.
Aunque otros líderes políticos y organismos reguladores en todo el mundo están desarrollando marcos orientados a garantizar la seguridad, transparencia y uso ético de la inteligencia artificial (IA), Trump está presentando su estrategia como una medida correctiva frente a lo que considera una creciente interferencia política en el desarrollo y uso de estas tecnologías.
At the core of Trump’s AI strategy is a sweeping call to reduce what he considers bureaucratic overreach. He proposes that federal agencies be restricted from using AI in ways that could influence public opinion, political discourse, or policy enforcement in partisan directions. He argues that AI systems, particularly those used in areas like content moderation and surveillance, can be manipulated to suppress viewpoints, especially those associated with conservative voices.
Trump’s proposal suggests that any use of AI by the federal government should undergo scrutiny to ensure neutrality and that no system is permitted to make decisions with potential political implications without direct human oversight. This perspective aligns with his long-standing criticisms of federal agencies and large tech firms, which he has frequently accused of favoring left-leaning ideologies.
His strategy also involves establishing a team to oversee the deployment of AI in government operations and recommend measures to avoid what he describes as “algorithmic censorship.” The plan suggests that systems employed for identifying false information, hate speech, or unsuitable material could potentially be misused against people or groups, and thus should be strictly controlled—not in their usage, but in maintaining impartiality.
Trump’s artificial intelligence platform also focuses on the supposed biases integrated into algorithms. He argues that numerous AI systems, especially those created by large technology companies, possess built-in political tendencies influenced by the data they are trained with and the objectives of the organizations that develop them.
While researchers in the AI community do acknowledge the risks of bias in large language models and recommendation systems, Trump’s approach emphasizes the potential for these biases to be used intentionally rather than inadvertently. He proposes mechanisms to audit and expose such systems, pushing for transparency around how they are trained, what data they rely on, and how outputs may differ based on political or ideological context.
His plan does not detail specific technical processes for detecting or mitigating bias, but it does call for an independent body to review AI tools used in areas like law enforcement, immigration, and digital communication. The goal, he states, is to ensure these tools are “free from political contamination.”
Beyond concerns over bias and regulation, Trump’s plan seeks to secure American dominance in the AI race. He criticizes current strategies that, in his view, burden developers with “excessive red tape” while foreign rivals—particularly China—accelerate their advancements in AI technologies with state support.
To address this, he proposes tax incentives and deregulation for companies developing AI within the United States, along with expanded funding for public-private partnerships. These measures are intended to bolster domestic innovation and reduce reliance on foreign tech ecosystems.
On national security, Trump’s plan is less detailed, but he does acknowledge the dual-use nature of AI technologies. He advocates for tighter controls on the export of critical AI tools and intellectual property, particularly to nations deemed strategic competitors. However, he stops short of outlining how such restrictions would be implemented without stifling global research collaborations or trade.
Interestingly, Trump’s AI strategy hardly addresses data privacy, a subject that has become crucial in numerous other plans both inside and outside the U.S. Although he recognizes the need to safeguard Americans’ private data, the focus is mainly on controlling what he considers ideological manipulation, rather than on the wider effects of AI-driven surveillance or improper handling of data.
The lack of involvement has been criticized by privacy advocates, who claim that AI technologies—especially when utilized in advertising, law enforcement, and public sectors—could present significant dangers if implemented without sufficient data security measures. Opponents of Trump argue that his strategy focuses more on political issues rather than comprehensive management of a groundbreaking technology.
Trump’s approach to AI policy is notably different from the new legislative efforts in Europe. The EU is working on the AI Act, which intends to sort systems by their risk levels and demands rigorous adherence for applications that have substantial effects. In the United States, there are collaborative efforts from both major political parties to create regulations that promote openness, restrict biased outcomes, and curb dangerous autonomous decision-making processes, especially in areas such as job hiring and the criminal justice system.
By supporting a minimal interference strategy, Trump is wagering on a deregulation mindset that attracts developers, business owners, and those doubtful of governmental involvement. Nevertheless, specialists caution that the absence of protective measures may lead AI systems to worsen disparities, spread false information, and weaken democratic structures.
The timing of Trump’s AI announcement seems strategically linked to his 2024 electoral campaign. His narrative—focusing on freedom of expression, equitable technology, and safeguarding against ideological domination—strikes a chord with his political supporters. By portraying AI as a field for American principles, Trump aims to set his agenda apart from other candidates advocating for stricter regulations or a more careful embrace of new technologies.
The suggestion further bolsters Trump’s wider narrative of battling what he characterizes as a deeply rooted political and tech establishment. In this situation, AI transforms into not only a technological matter but also a cultural and ideological concern.
Whether Trump’s AI plan gains traction will depend largely on the outcome of the 2024 election and the makeup of Congress. Even if passed in part, the initiative would likely face challenges from civil rights groups, privacy advocates, and technology experts who caution against an unregulated AI landscape.
As artificial intelligence continues to evolve and reshape industries, governments around the world are grappling with how best to balance innovation with accountability. Trump’s proposal represents a clear, if controversial, vision—one rooted in deregulation, distrust of institutional oversight, and a deep concern over perceived political manipulation through digital systems.
What we still don’t know is if this method can offer the liberty alongside the protections necessary to steer AI progress towards a route that rewards society as a whole.
