Grok Reportedly Shaped Trump's View on Capturing Maduro

A chatbot answer may have played a part in one of the most consequential US foreign policy decisions of the past year. According to a report from Time magazine, President Trump spent hours questioning Elon Musk's Grok in December 2025, including about how Venezuelans would react if their president were removed. About a month later, the US invaded Venezuela and captured President Nicolás Maduro.

The account comes from a single source who spoke to Time. It has not been independently confirmed in the material available to us. But it adds a new dimension to the debate over how AI systems are used at the top of government.

The December meeting

Time reports that Trump and Musk met privately in December 2025. That was roughly seven months after Musk stepped away from his role at the Department of Government Efficiency (DOGE), the cost-cutting initiative he led inside the Trump administration.

During that meeting, the source said, Trump "spent hours" in conversation with Grok. One of his questions was how the Venezuelan public would respond to Maduro's capture.

The timing matters. In September, a few months before the meeting, Trump had begun ordering US military strikes on Venezuelan boats he alleged were involved in drug trafficking. As The Atlantic reported at the time, many people were already asking Grok about those strikes and about the political situation in Venezuela.

What Grok told the president

According to Time, Grok described Maduro as a "deeply unpopular dictator" and said "many Venezuelans would likely celebrate his downfall."

The US invaded on January 3. Celebrations did follow. Afterward, the source said, Trump "came away thinking Grok was ingenious."

That is the core of the story: a general-purpose chatbot gave a confident read on public sentiment in another country, the prediction appeared to come true, and the president's trust in the tool reportedly grew as a result.

From conversation to battlefield

The report lands against a backdrop of growing military use of Grok. In June of this year, the Pentagon's head of AI said the military had used Gov Grok, the government version of the chatbot, to deploy and strike targets during the Iran War.

Grok is not the only model working with the Department of Defense (DoD). OpenAI also has an agreement with the department. Anthropic, meanwhile, has been in an ongoing back-and-forth over how its models may be used for military intelligence and in modern warfare - a debate that runs alongside its push to offer Claude to government agencies.

Still, Grok may be gaining ground under this administration. Earlier this week, the Pentagon announced that Musk and Palmer Luckey of Anduril would co-lead a study on how advanced technology is used, and could be used, on the battlefield.

Three things worth separating

The story mixes several issues that are easier to judge one at a time.

The source. Everything about the December meeting rests on one unnamed person speaking to Time. That does not make it false, but it limits how much weight it can carry.

The model's answer. Grok's assessment of Maduro reflected a view that was widely discussed at the time. Whether the chatbot added real insight, or simply restated common commentary with confidence, is not clear from the report.

The feedback loop. If a correct-looking prediction raised the president's trust in the tool, that trust could carry into later decisions where the model is wrong. A single good outcome says little about reliability.

Our Take

This report suggests that the question of AI in government is no longer only about formal procurement contracts or approved military systems. If the account is accurate, a consumer-facing chatbot, owned by a close political ally, was part of the informal input to a decision to invade another country. That is a different kind of risk than the ones usually covered in safety reviews.

It also fits a wider pattern. Governments and AI companies have been building closer ties, from non-binding pledges signed by tech CEOs to defense agreements with several labs. Oversight has been slower to follow, even as regulators such as the FTC look more closely at AI labs.

It is worth watching whether the Musk and Luckey study produces public findings, whether other outlets confirm Time's reporting, and whether lawmakers ask how chatbot outputs are logged and reviewed when officials rely on them. The bigger question is accountability: when a model's answer shapes a decision, who answers for it?