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The race to dominate artificial intelligence has just entered a new phase. Donald Trump has announced the creation of a so-called "AI Force"—a structure that remains loosely defined but which he has compared to the Space Force established during his first term.
The announcement comes with a clear stance: his administration does not want to slow down AI development. On the contrary, it aims for the United States to maintain global leadership in this technology. The White House had already set a goal of bolstering American innovation and avoiding regulations that, in its view, might hinder it.
Trump has gone even further, dismissing many of the warnings regarding the potential dangers of AI. In recent statements, he labeled predictions about an AI capable of seizing control or destroying humanity as a "hoax."
However, not all key players in this technological revolution share this view. Dario Amodei, CEO of Anthropic, has advocated for the possibility of temporarily slowing AI development if risks become too high. His proposal is not simply to halt the technology, but to have coordinated mechanisms in place that would allow for such a pause if necessary.
Sam Altman, CEO of OpenAI, has also raised the need for safety mechanisms and international coordination, although he believes that rules should ultimately be established by democratic governments.
This brings us to one of the great paradoxes of this new revolution. The very companies competing fiercely to develop the most advanced AI models know they must move quickly to avoid falling behind. Yet, they also recognize that the more powerful these systems become, the greater their economic, social, and geopolitical impact could be.
The United States currently remains ahead in certain aspects of "frontier models," but China is closing the gap. Some recent analyses place the difference at just a few months, highlighting the rapid progress of Chinese companies and models.
That is why AI is no longer merely a technological issue. It is also a matter of economic competitiveness, national security, energy, infrastructure, employment, and geopolitical power.
And there is a vast amount of money at stake. U.S. investments in AI are reaching enormous figures, while China is also rapidly increasing its investments and computing capacity.
Are we witnessing a revolution comparable to the Industrial Revolution? It is too early to tell. What does seem evident is that we are facing a technological transformation of immense scope—one that is already affecting us all.
In the coming years, we will see a race among companies and governments to secure better models, greater computing power, and increased control over this technology. We will likely hear many promises, warnings, and grandiloquent statements.
That is why it is wise to apply a simple rule: pay less attention to what is said and more to what is actually done. The true scale of the artificial intelligence revolution will be determined not by speeches, but by actions.
And that is something we will see unfold over time.
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