How Trump’s AI executive order impacts Louisiana

ALEXANDRIA, La. (KALB) – The federal government is building a nationwide standard as the United States competes in a global A.I. race, much the same as the Space Race of the 20th century.

Last week, President Trump signed an executive order aimed at establishing a uniform federal regulatory framework for artificial intelligence in the United States.

The order emphasized a need for AI companies to be allowed to innovate without hinderance from excessive regulations, so that the system would not become fragmented.

Marva Bailer is the CEO and founder of Qualaix, which works to improve productivity and innovation with AI through conversations. She said this framework a step towards realizing an untapped potential in the United States for innovation and productivity through AI.

“We are leading the AI race,” said Bailer. “What is getting people’s attention is there are areas that we could be a lot stronger and lean in a lot faster.”

We spoke with KALB political analyst Greg LaRose to learn how this new framework might impact Louisiana’s development.

Since 2024, the construction of multiple AI data centers has been announced across the state, with each new center estimated to be worth billions of dollars and promising new jobs and growth for Louisiana.

According to LaRose, the executive order should not realistically confine any of the state’s major AI projects.

“Through the Louisiana lens at that executive order from President Trump, I’m not really seeing anything that really confines what’s going on in the state.”

The majority of the state’s laws are concerned with deep fakes.

In October, Louisiana governor Jeff Landry issued his own executive order which banned, “Communist Chinese AI platforms’ from systems within state government.”

While it is unclear how Louisiana will enforce Landry’s order, LaRose said the state does face other concerns.

“I think they’re more concerned about giving China access to the data that is used to create, say, a Louisiana-based deep fake or any type of issue,” said LaRose. “For example, like transcription software that people are increasingly using to make record-keeping a lot easier. I think the idea is that that type of information be kept out of hands that we don’t want it in.”

This, as the global AI race heats up heading into 2026.

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