
Whatâs next for Swiss watchmaking?
The sudden imposition of 39% tariffs on Swiss watches in the United States has unsettled one of Switzerlandâs most iconic industries. More than a cost shock, it is forcing watchmakers to rethink...
by Simon J. Evenett, Johannes Fritz, Michael R. Wade Published August 8, 2025 in Geopolitics ⢠9 min read
For much of this year, a single phrase has defined the Trump Administrationâs approach to global trade: âWe hold all the cards.â This mantra, repeated in negotiations from Brussels to Tokyo, was built on a simple, powerful premise: that the worldâs dependence on Americaâs vast consumer market grants Washington unparalleled leverage. The administration has not been shy about exploiting this leverage, securing concessions on everything from agricultural products to industrial tariffs, often leaving trading partners feeling strong-armed into deals that primarily serve American interests.
Having successfully flexed its muscle in the tangible world of goods and services, the White House is now applying this same hard-nosed logic to the intangible, yet infinitely more strategic, realm of artificial intelligence. In a move that is as ambitious as it is confrontational, the administration has unveiled a formal strategy to ensure global dependence not on American consumers, but on American code. This new doctrine, outlined in recent White House directives, is an audacious bid to make the âAmerican AI Stackâ the indispensable foundation of the 21st-century global economy, locking in technological dominance for a generation. For policymakers and corporate leaders around the world, this presents a profound and urgent dilemma.
The strategy was laid bare in a 23 July 2025 presidential action titled Promoting the Export of the American AI Technology Stack. The document is a blueprint for technological statecraft, arguing that American leadership in AI is a national security imperative. It reads: âIt is the policy of the United States to preserve and extend American leadership in AI and decrease international dependence on AI technologies developed by our adversaries by supporting the global deployment of United States-origin AI technologies.â This is not merely a commercial promotion; it is a declaration of intent to establish a new form of strategic dependency. This was reinforced in a speech at the APEC Digital and AI Ministerial Meeting on 5 August 2025, where White House Technology Director Michael Kratsios presented the strategy as a stark choice. He said, âYou can follow the European model of fear and overregulation, and be inevitably left behind, succumbing to stasis as the states around you move forward in settling a new frontier and building a new future. Or you can take our offered handshake and make a deal.â
As for global rules for AI, these were rejected outright. Director Kratsios continued: âWe believe the way of progress is found in human judgment and friendly cooperation, in political freedom and civic responsibility, in sovereignty and independence, not global governance and technocratic control.â
The message could not be clearer. Washington is framing the global adoption of AI as a choice: the open, values-driven American ecosystem or the closed, surveillance-capitalist Chinese alternative. In this grand narrative, there is a conspicuous third way that the US wants its partners to reject: the European Unionâs regulatory-heavy approach. The American pitch is a package deal â embrace our superior technology and, by extension, our light-touch, pro-innovation regulatory philosophy.
This leaves global leaders with a series of critical questions. What are the real incentives to tether their digital futures to American technology? Are the advantages worth the risk of such profound dependency? Or is the choice truly as Washington presents it? And critically, given Americaâs recent âwe hold all the cardsâ trade posture, can it be trusted as a reliable technological partner?
To be clear, the appeal of American AI is immense and undeniable. The US is home to an innovation engine without parallel. From the foundational research at Stanford and MIT to the hyperscale cloud infrastructure of Amazon, Google, and Microsoft, and the groundbreaking models emerging from OpenAI and Anthropic, the American AI ecosystem is years ahead of its global competitors.
For governments and companies looking to build a competitive digital economy, tapping into this ecosystem offers clear advantages. The American AI Stack provides unparalleled performance, a vast community of developers, and seamless integration from the chip level to the user-facing application. Adopting it means gaining immediate access to the worldâs most advanced large language models, sophisticated machine learning tools, and the most powerful computing infrastructure. In principle, this could translate into economic productivity, scientific advancement, and commercial innovation. The promise is a fast track to the future, and for many, this will be an irresistible offer.
âA flick of a switch in Washington could, in theory, revoke API access, restrict data flows, or impose sanctions, leaving a dependent nation digitally paralyzed.â
However, the aggressive US trade tactics of 2025 cast a long and ominous shadow over this technological outreach. Allies who felt the sting of tariffs and threats now hear an unsettling echo in the AI export strategy. If Washington was willing to weaponize access to its consumer market to win a trade dispute over steel, what is to prevent a future administration from weaponizing access to foundational AI models to compel foreign policy alignment?
The risk is not theoretical. Dependency on the American AI Stack means placing the digital nervous system of a nationâs economy â its banking, healthcare, infrastructure, and defense â into the hands of American corporations, subject to American laws and the whims of the American executive branch.
A flick of a switch in Washington could, in theory, revoke API access, restrict data flows, or impose sanctions, leaving a dependent nation digitally paralyzed. The very phrase âhold all the cardsâ suggests a partner who views leverage not as a tool for mutual benefit, but as a weapon to ensure victory. This history of transactional diplomacy severely undercuts the trust required for the deep partnership that AI integration demands.
The American argument against this model is that it is a recipe for stagnation.
This is why the European Unionâs approach to AI regulation, which the US strategy explicitly seeks to counter, has appealed to many. The EUâs AI Act is built on a foundation of fundamental rights and a risk-based hierarchy. It seeks to ban AI applications deemed to pose an âunacceptable risk,â such as government-run social scoring, and imposes strict transparency and compliance obligations on âhigh-riskâ systems used in areas like hiring, credit scoring, and law enforcement.
The American argument against this model is that it is a recipe for stagnation. US officials contend that the EUâs burdensome, one-size-fits-all regulations will stifle innovation, bury startups in compliance costs, and create a “Brussels effect” that would slow technological progress globally. They argue that it prioritizes pre-emptive risk mitigation over permissionless innovation, ultimately leaving Europe a technological laggard, dependent on others for its digital infrastructure. The risk of the EU approach, from this perspective, is that in its quest for perfect safety, it will engineer its own obsolescence.
The American AI âtake-it-or-leave-itâ export strategy presents a profound dilemma, but it is not without agency.
The American AI âtake-it-or-leave-itâ export strategy presents a profound dilemma, but it is not without agency. While the Trans-Pacific dependency choice between the US and China may seem stark, the real strategic imperative lies in how nations navigate the Transatlantic challenge and assert their digital sovereignty. The choice is not simply between American innovation and European regulation, nor is it about passively accepting the US’s terms. Instead, it is about actively forging a future built on national control and collective strength.
Technically, a sovereign nation can license American AI models and legally require their deployment within its borders to conform to its own risk-based regulations. A Canadian bank, for instance, could utilize an American-made AI for loan applications while remaining subject to Canadian laws inspired by the EUâs transparency and human-oversight requirements. However, it is clear that the White House’s strategy extends beyond mere technology export; it also seeks to advance its regulatory philosophy and transactional approach. Nations that insist on imposing EU-style rules may find themselves at the back of the line for the latest model updates or facing higher costs â effectively penalized for choosing a different governance model.
This friction underscores the need for a proactive and strategic response. Countries and regions must recognize that the path to true digital independence and equitable global AI governance lies in two critical, interconnected strategies:
1. Developing an independent AI tech stack: Rather than succumbing to inevitable dependency, nations and regions should vigorously invest in building their own comprehensive AI ecosystems. This means prioritizing foundational research and development, cultivating a skilled domestic workforce, and fostering local AI startups. Crucially, it involves developing domestic computing infrastructure, including hyperscale cloud capabilities and advanced semiconductor manufacturing, to ensure control over the physical and digital backbone of their AI future. Promoting open-source AI development and establishing robust data sovereignty measures are also vital steps to prevent proprietary lock-in and ensure national or regional control over critical information.
2. Forming alliances and strategic partnerships: No single nation alone can fully counter the immense influence of the US. Therefore, forming strong alliances and strategic partnerships is paramount. By acting in concert, countries can collectively increase their leverage and push back against America’s “we hold all the cards” approach. This includes strengthening global governance frameworks, advocating for universal standards like AI-equivalent “nutrition labels” to assess risk, and presenting a unified front that demands credible assurances from the US that it will be a reliable custodian, not a master, of the world’s digital future. Such alliances can establish a third way that champions shared values, equitable access, and responsible innovation, preventing any single power from dictating the global AI landscape.
The future of digital sovereignty, economic competitiveness, and ethical AI development hinges on a decisive shift.
The time for passive acceptance is over. Leaders worldwide must move beyond simply standing in line for access to powerful algorithms and instead demand credible assurances that the hand holding all the cards today will not become a fist tomorrow. The future of digital sovereignty, economic competitiveness, and ethical AI development hinges on a decisive shift. Nations must now actively invest in their own AI capabilities, forge unbreakable alliances, and collectively shape a global AI landscape founded on trust, transparency, and shared prosperity, rather than unilateral leverage.
Professor of Geopolitics and Strategy at IMD
Simon J. Evenett is Professor of Geopolitics and Strategy at IMD and a leading expert on trade, investment, and global business dynamics. With nearly 30 years of experience, he has advised executives and guided students in navigating significant shifts in the global economy. In 2023, he was appointed Co-Chair of the World Economic Forumâs Global Future Council on Trade and Investment.
Evenett founded the St Gallen Endowment for Prosperity Through Trade, which oversees key initiatives like the Global Trade Alert and Digital Policy Alert. His research focuses on trade policy, geopolitical rivalry, and industrial policy, with over 250 publications. He has held academic positions at the University of St. Gallen, Oxford University, and Johns Hopkins University.
Senior Fellow for Tech Policy & Business, IMD
Johannes Fritz is the Senior Fellow for Tech Policy & Business at IMD and the CEO of the St. Gallen Endowment, a Swiss non-profit that champions international openness, collaboration and exchange. He leads the Digital Policy Alert transparency initiative focusing on prominent digital trade issues such as data transfers and AI regulation. He is also a lecturer in economic history and economic thought at the University of Fribourg, Switzerland. Johannes holds a Ph.D. in economics, and his work focuses on utilizing technology to bring transparency to public policy choice.
TONOMUS Professor of Strategy and Digital
Michael R Wade is TONOMUS Professor of Strategy and Digital at IMD and Director of the TONOMUS Global Center for Digital and AI Transformation. He directs a number of open programs such as Leading Digital and AI Transformation, Digital Transformation for Boards, Leading Digital Execution, Digital Transformation Sprint, Digital Transformation in Practice, Business Creativity and Innovation Sprint. He has written 10 books, hundreds of articles, and hosted popular management podcasts including Mike & Amit Talk Tech. In 2021, he was inducted into the Swiss Digital Shapers Hall of Fame.
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