While many countries are just starting to discuss what to do with artificial intelligence, the United States is already outlining its roadmap.

And it is doing so on a grand scale.

On July 24, 2025, President Donald Trump officially presented the National Artificial Intelligence Plan, a speech that marks a turning point not only for the U.S. but for the global balance of technological, educational, and labor power.

What does the plan propose?

This plan goes beyond technological innovation. It is a geopolitical, economic, and educational strategy to ensure that the U.S. not only participates... but dominates the race for artificial intelligence.

The key points:

1. Absolute leadership: Trump wants the U.S. to be "number one in the world in AI." Not just as a power, but as the country that sets the standards of the future.
2. Creation of the "National Department of Artificial Intelligence": a new agency dedicated exclusively to the development, regulation, and strategic deployment of AI.
3. Technological independence: not a chip, a model, or a line of code will depend on China or Europe. Total digital sovereignty.
4. Education from primary school: AI will be a mandatory subject from childhood. It is no longer an option: it is a state priority.
5. Public-private alliances: the government will work with leading companies like OpenAI, Meta, Nvidia, or Microsoft to integrate AI into defense, health, justice, and education.
6. Jobs and reindustrialization: Trump promises that AI will not replace jobs... but will transform them. He speaks of millions of new jobs in sectors that do not even exist yet.
7. Ethical framework and national security: efforts will be made to curb the risks of an "algorithmic dictatorship" and prevent AI from being used to control or manipulate populations.

And what does this mean for the rest of the world?

This plan is not just for the United States.

It is a declaration of technological supremacy that will force other countries to react.

Europe remains focused on regulation, but is moving more slowly.

China is ahead in educational and business adoption.

Latin America, for the most part, does not even have a national AI policy.

This movement by Trump is clear:

"Whoever controls AI will control the world."

And that control will no longer be merely military or economic.

It will also be educational, labor, cultural, and narrative.

Education, work, and the gap that opens

While the United States teaches AI from primary school and trains its entire workforce in emerging technologies, countries like Mexico are still debating whether ChatGPT can be used for school tasks.

This gap is not just one of knowledge.

It is a gap of future.

In the U.S., children are learning to program and interact with machines.

In many Latin American countries, schools do not have stable internet or teacher training in AI.

While there, policies are being designed to train millions of workers in AI, here many jobs are still analog and repetitive.

If action is not taken soon, artificial intelligence will not only deepen inequality... it will multiply it.

And what should Mexico and Latin America do?

1. Design an urgent national AI strategy, with an educational, labor, and social focus.
2. Make digital literacy and AI education a human right.
3. AI should be taught from primary school, not just in technical careers.
4. Train teachers in the use and design of AI tools.
5. It is not enough to use them; one must understand and create them.
6. Promote local development of models and platforms.
7. Latin America cannot rely solely on foreign technologies.
8. Create alliances between government, universities, and the private sector, as the U.S. is already doing, to accelerate worker training and promote entrepreneurship in AI.

Artificial intelligence is not just a tool.

It is a power infrastructure.

Trump's plan is clear:

To build an algorithmic empire from classrooms, government, and the market.

And if countries like Mexico do not react with the same ambition and urgency, they will end up trapped on the digital periphery.

The story is already being written in the language of models.

The question is:

Are we going to read it... or program it?

Invest in technological sovereignty, starting with data infrastructure, chips, and connectivity.

Conclusion: either we lead it, or we suffer it