Artificial intelligence has ceased to be a tool exclusively for technological innovation and has become one of the main arenas of geopolitical, economic, and political competition in the 21st century. As the United States debates how to regulate the development of AI models, limit the expansion of the infrastructure required to train them, and protect its leadership against China’s rise, the emergence of companies such as Palantir Technologies and the consolidation of open-source artificial intelligence models are reshaping a landscape in which technology, political communication, and electoral processes are becoming increasingly interconnected.
During 2025 and 2026, the United States Senate advanced two initiatives that shaped the direction of the debate. The first consisted of eliminating the moratorium that prevented states from legislating on artificial intelligence. By an overwhelming vote of 99 to 1, Congress restored to states such as California, Colorado, and New York the authority to establish their own regulations while discussions on federal legislation continue.
The second initiative opened an even deeper debate. Lawmakers such as Bernie Sanders and Alexandria Ocasio-Cortez promoted a proposal to temporarily halt the construction of new data centers intended to train artificial intelligence systems until federal regulations were enacted to protect workers, consumers, and the environment. The objective was not to stop AI itself but to address the growing consumption of electricity, water, and natural resources required by these massive technological facilities.
At the same time, Washington tightened controls over certain advanced artificial intelligence models for national security reasons, seeking to prevent strategic technologies from being used by foreign governments or criminal actors. The discussion is no longer focused solely on innovation but also on the control of infrastructure, data, and technological sovereignty.
Within this context, Palantir Technologies has emerged as one of the most influential companies in the American technology ecosystem. Founded with the support of Peter Thiel, a Silicon Valley entrepreneur and one of the Republican Party’s leading financial backers, the company develops large-scale data analytics platforms used by intelligence agencies, defense organizations, and various government institutions.
Thiel’s political influence is a well-documented fact. He financed campaigns for Republican candidates, was an early supporter of Donald Trump, and maintains an extensive network of relationships with technology entrepreneurs, investment funds, and conservative think tanks.
The solutions developed by Palantir make it possible to integrate enormous volumes of information drawn from government databases, financial records, migration data, and multiple other data sources. Its supporters argue that these tools improve security, optimize public administration, and help combat fraud and organized crime. Its critics, however, warn that the concentration of data and predictive analytics capabilities could increase risks to privacy, facilitate systems of mass surveillance, or strengthen mechanisms of political control in the absence of adequate democratic oversight.
The communication narrative associated with the company.
Its public discourse revolves around five central themes: strengthening national security, modernizing the state through artificial intelligence, enhancing technological competitiveness against China, avoiding excessive regulations that could limit innovation, and promoting a vision of “technological patriotism” in which the development of AI constitutes a central element in preserving Western leadership.
At the same time, regional politics experienced a consolidation of center-right and right-wing governments that placed technological innovation, state digitalization, and administrative efficiency among their principal policy narratives. Directly linking those electoral outcomes to the activities of technology companies currently lacks conclusive evidence.
While the United States debates how to regulate artificial intelligence, another challenge is beginning to reshape the global balance. Open-source models developed in China, such as DeepSeek, Qwen, GLM, and Kimi, offer performance comparable to commercial platforms such as ChatGPT or Gemini, but at significantly lower costs and with the possibility of being deployed on organizations’ own infrastructure.
The combination of regulation, infrastructure, artificial intelligence, geopolitics, and political communication is creating an unprecedented landscape. Artificial intelligence is no longer merely a computing tool; it is becoming a new factor of power. Its influence over the economy, security, public administration, and political communication will continue to grow. The challenge for democracies will be to ensure that this transformation takes place under principles of transparency, institutional oversight, and the protection of citizens’ rights, preventing technological innovation from becoming an opaque instrument for the concentration of power or the manipulation of public opinion.
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