Within a fragmented and rapidly shifting geopolitical environment, from Nuuk to Qom, and from Haifa to Havana, US President Donald Trump’s “America First” doctrine, his MAGA worldview, and his administration’s artificial intelligence (AI) domestic policy are increasingly intertwined.
Together, they advance a deliberate push for US dominance in AI through deregulation, with the clear aim of reshaping global geopolitical and economic dynamics. Tariffs, regulatory realignment, and supply-chain constraints now form persistent headwinds for firms seeking to remain competitive. state-owned enterprises (SOEs) and special purpose vehicles (SPVs) face heightened exposure to geopolitical uncertainty as they pursue cost efficiencies, digital transformation, and accelerated innovation.
Amid this turbulence, state boards are converging on a central objective: technology sovereignty as a board-level imperative. Governors are reassessing the factors that shape infrastructure decisions, and technology sovereignty has emerged as paramount. In the age of AI, the strategic objective is to build autonomy and resilience by reducing reliance on global technology platforms to ensure operational continuity, while still capturing the innovation velocity, advanced capabilities, and economies of scale offered by established providers.
Boards are increasingly perturbed by dependence on public cloud infrastructure, citing concerns over security, control, data residency, and pricing power. Even organisations that avoid public cloud architectures must confront the scalability constraints imposed by data security requirements and cost structures. These risks coexist with undeniable benefits: global technology platforms and AI assemblages remain unmatched in their ability to deliver rapid innovation, performance, and scale. However, data sovereignty, the US CLOUD Act, and the limits of control are attracting the attention of boards.
The prevailing AI zeitgeist supports more stringent domestic data-protection regimes. As a result, scrutiny over where data resides, how it is processed, and who has rights to access, refine, and recombine datasets into commercially valuable assets has intensified. This has elevated fresh thinking on national data libraries and data embassies.
The US CLOUD Act introduces a fundamental challenge to traditional sovereignty assumptions. By asserting US jurisdiction over data held by US service providers, regardless of where the data is physically stored, the Act directly conflicts with the premise of data embassies, which seek to extend diplomatic inviolability and sovereign control to digital assets.
Data embassies, most notably advanced by Estonia, are designed to ensure that sensitive national data remains subject exclusively to domestic law. The CLOUD Act, however, enables US authorities to compel access to data from US companies abroad, potentially bypassing foreign legal frameworks and undermining the protections data embassies aim to provide.
While the Act includes a “comity” mechanism allowing providers to challenge requests that conflict with foreign laws such as the GDPR, these protections are discretionary rather than absolute. The Act also enables executive agreements with countries meeting specific privacy and civil-liberty standards, streamlining cross-border data access for serious crimes and bypassing traditional MLAT processes. This creates a parallel system of data access that may further dilute the practical relevance of data embassies.
The antibodies warn that the Act could be exploited by states with weak human-rights records. The evangelists argue it is indispensable for combating terrorism, cybercrime, and child exploitation. The result is a persistent geopolitical tension between law-enforcement imperatives, national data sovereignty, and individual privacy rights.
President Trump’s AI strategy is inseparable from his broader revisions of the post-WWII rules-based international order. It prioritises national sovereignty, bilateral transactionalism, and deregulation, while resisting fragmented state-level governance in favour of a single federal AI standard. Regulations perceived to inhibit market dynamism are dismantled in pursuit of innovation aligned with what his administration views as the constitutional foundations of the US market economy. The US AI Action Plan, released in July 2025, rests on three pillars: (1) Accelerating innovation, (2) Scaling AI architectures and data-centre infrastructure, and (3) Leading international AI diplomacy and security.
At its core, his “Genesis Mission” remains a public-private fusion model designed to accelerate AI-driven discovery through close alignment between the federal government and US technology behemoths, a model reminiscent of China’s approach to strategic technology development. It is a development path based on acceleration through disruption. President Trump’s enduring strategy is to keep allies and adversaries alike unsure of his next move.
Rather than initiating change from a standing start, his unilateral actions accelerate forces already in motion, cutting through institutional inertia and eroding norms he views as obstructive.
His decisiveness expands executive authority, forcing coherence across competing branches of the state apparatus and compressing political and technological timelines.
What emerges is not simply disruption, but acceleration of AI adoption, of geopolitical realignment, and of the global contest over sovereignty, data, and technological power.
Dr Fazal Ali completed his Master's in Philosophy at the University of the West Indies. He was a Commonwealth Scholar who attended the University of Cambridge, Hughes Hall, provost of the University of Trinidad and Tobago, and the acting president, and chairman of the Teaching Service Commission. He is presently a consultant with the IDB. He can be reached at fazalalitsc@gmail.com
