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2025-07-25T00:00:00.000Z|2 min read

Trump’s executive order on AI neutrality: what it means for tech and government

Rysysth Technologies Editorial Team

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Rysysth Technologies Editorial Team (Contributor)

Trump’s executive order on AI neutrality: what it means for tech and government

A new executive order from former President Donald Trump is stirring controversy over government use of AI. Called “Preventing Woke AI in the Federal Government,” this policy requires any AI model used by federal agencies to be politically neutral.

That means no mention of concepts like diversity, equity, inclusion (DEI), critical race theory, or systemic racism. The administration demands that chatbot systems be “truth‑seeking” and free from ideological bias, or they risk losing eligibility for government contracts.

This move comes with Trump’s broader “AI Action Plan,” aimed at accelerating U.S. leadership in artificial intelligence. The plan also includes easing regulations, streamlining data‑centre approvals, promoting export of AI technologies, and blocking state‑level rules that conflict with federal policy.

Tech giants and AI neutrality

Major companies like Microsoft, Google, OpenAI, Meta, and Anthropic are now facing a difficult choice. They must prove their AI tools, such as ChatGPT, Gemini, and Copilot, are ideologically neutral to qualify for government work.

That has sparked fears that these companies will preemptively censor their chatbots to avoid political content or perceived bias. Critics warn this could resemble government‑forced neutrality and pressure firms to minimize transparency in model behavior or training.

Meanwhile, some lawmakers and civil rights groups worry this is a front for political censorship disguised as neutrality, potentially harming marginalized voices and undermining efforts to reduce bias in AI systems.

Rysysth Insights

Here’s our take. Trump’s executive order is framed as a bold step toward ideological neutrality in federal systems, but in practice, achieving true neutrality is nearly impossible. Training data reflects a wide mix of viewpoints; asking AI to strip out anything that resembles DEI risks stripping context and accuracy.

Tech companies may respond by sanitizing their models, avoiding sensitive topics, or distorting outputs to appear ideologically pure. This could chill innovation and reduce the model's usefulness on complex social issues.

It may also lead to a two‑tier system—less inclusive models for government use and more expressive versions for public deployments.

A balanced approach would be clearer definitions of acceptable bias, safeguards against misuse, and transparency standards. Instead, the current policy risks turning model design into a political litmus test rather than an engineering challenge.

Next steps to watch

In the next 120 days following the July 23, 2025, signing date, agencies under the direction of the Office of Management and Budget must issue guidance on how to implement the order. Official procurement rules will reveal how strict or vague the neutrality criteria will be.

House committees have already subpoenaed major tech firms for details on their training and bias policies, signaling oversight and potential pushback from legislators.

Until next time

Rysysth Technologies Editorial Team

Author

Rysysth Technologies Editorial Team (Contributor)

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