Federal government should establish guidelines for the training of AI models, according to Trump's emphasis
In a speech delivered at the Winning the AI Race summit in Washington, D.C., U.S. President Donald Trump emphasised the need for accelerated innovation in the tech sector, particularly in artificial intelligence (AI). However, he did not mention any specific regulations he intends to dismantle in the tech sector.
During his address, Trump referred to the growing lawsuits between AI companies and publishers, such as the copyright infringement suit against Microsoft-backed OpenAI by The New York Times. The lawsuit alleges that Microsoft and OpenAI illegally used The New York Times' content to train AI models.
The speech did not provide any updates on the AI Action Plan or its three pillars: innovation, infrastructure, and international diplomacy and security. The current federal approach to AI model training in the U.S., as highlighted in the Trump administration’s latest policy framework, is encapsulated in the "America’s AI Action Plan" released in July 2025.
This plan emphasises accelerating AI innovation primarily through deregulation, expanding AI-related infrastructure, and boosting private-sector leadership with a strong focus on workforce development to support AI infrastructure roles. The administration advocates for industry-driven training, modern skill frameworks, and expanded apprenticeship programs for occupations critical to AI infrastructure.
Key points from the Trump administration’s AI Action Plan related to AI model training and workforce preparation include a national initiative led by the Departments of Labor (DOL) and Commerce (DOC) to identify high-priority occupations essential for building AI infrastructure, partnerships across federal agencies with state and local governments to support industry-driven training programs addressing workforce needs tied to AI infrastructure, and the expansion of registered apprenticeships in critical AI infrastructure roles.
The plan breaks with the previous Biden administration’s more safety-focused AI regulation approach by less emphasis on regulatory oversight or safety-first frameworks for AI model training, opting instead for a deregulatory, innovation-first posture aimed at "winning the AI race" and promoting U.S. AI global dominance.
Trump declared that America is the country that started the AI race and is determined to win it. He encouraged a new spirit of patriotism in Silicon Valley and beyond to achieve this goal. Trump stated that winning the AI competition will test the U.S.'s capacities more than anything since the space race.
To win the AI race, Trump believes that reclaiming the nation's heritage as a builder is crucial. He emphasised the need for new data centers, chip manufacturing facilities, and new energy production. Trump also stated that rules for AI should not vary from state to state, and that a federal rule is needed.
In conclusion, Trump's speech highlighted the need for a common rule regarding the training of artificial intelligence models, with an emphasis on voluntary, industry-guided workforce development frameworks and deregulation to foster rapid innovation and infrastructure buildout in AI. Any forthcoming executive orders linked to this plan may further clarify or expand on these priorities, but the current public documents indicate a focus on workforce training and deregulation rather than mandated AI training standards.
- Trump's speech underlined the importance of a unified federal rule for artificial-intelligence model training, alongside voluntary, industry-driven workforce development frameworks and deregulation, to bolster rapid innovation and infrastructure expansion in the tech sector, particularly in artificial intelligence (AI).
- In the realm of AI investment, the Trump administration's AI Action Plan advocates for deregulation, bolstering AI-related infrastructure, and fostering private-sector leadership, accompanied by workforce development initiatives to support AI infrastructure roles, such as industry-driven training, modern skill frameworks, and expanded apprenticeship programs.
