Guest Post: How Smaller Nations Should Navigate the Quantum Future — With Lessons Learned from AI’s Growth

By Alexander Brunner, Chief Executive Officer of Brunner Digital There’s no question the quantum future is coming. As nations and businesses look at how, when and where growth will come from in this exciting emerging sector, recent history can provide useful insights. For smaller nations, security and economic lessons from the development of AI cannot be ignored as we turn to the next chapter of the innovation economy.Since the public introduction of ChatGPT 3.5 in November of 2022, the AI sector has seen over a trillion dollars have poured into AI infrastructure projects and research, but that money has largely been centered in the United States and China, two resource-rich nations that are able to generate projects at scale that few others are able to match.Switzerland, however, is providing a blueprint via its approach to AI infrastructure development that shows others around the world how they can play to their strengths to secure their own local innovation ecosystems in the coming quantum age. This approach allows those traditionally on the outside of large-scale innovation periods to not only improve their own digital security but also provide a pathway to take advantage of financial opportunities that will come from development.How Small Nations’ Digital Sovereignty Has Been at Risk With AIThe rise of artificial intelligence has been an incredible economic driver for many nations around the world, but it has also exposed a structural imbalance in how critical digital infrastructure is distributed globally. In the last several years, the overwhelming majority of AI investment, data center construction, semiconductor fabrication, and large-scale model training has been concentrated predominantly in the United States and China.For smaller nations, this concentration has created a growing dependence on foreign whims, something becoming increasingly difficult in a fraught geopolitical landscape. This dependence raises significant questions about data protection, cybersecurity, regulatory autonomy, and long-term economic competitiveness.Digital sovereignty directly dictates a nation’s ability to control its sensitive information, protect intellectual property, secure critical infrastructure, hold the reins of power over its technology-dependent systems and maintain economic resilience. When essential computational resources and AI platforms are owned and governed elsewhere, smaller nations lose leverage in negotiations, flexibility in regulation, and visibility into how their data is used.The stakes become even higher when considering how AI increasingly underpins sectors such as healthcare, finance, transportation, defense, and energy. Reliance on foreign-controlled systems introduces systemic vulnerabilities and risk of cyber threats.Quantum computing threatens to magnify these dynamics. As quantum technologies mature, they will even further transform traditional systems and increase reliance on technology. If access to quantum infrastructure is centralized similar to AI, issues of digital sovereignty could become exponentially worse.The lesson from AI is clear: waiting for market forces alone to ensure equitable access likely will not work. These under-resourced nations need to take initiative and get out ahead of the curve.The Swiss Model: Precision, Focus, and Strategic AdvantageSwitzerland’s approach to developing AI infrastructure offers a rare counter. Rather than attempting to compete directly with superpowers on sheer size and scale, the nation has leaned into its historical strengths of precision engineering, long-term planning and innovation-driven entrepreneurship.Instead of investing heavily in all-encompassing large language models or energy-intensive hyperscaled infrastructure, Switzerland has focused on developing specialized, high-value applications of AI. For example, rather than developing a ChatGPT-esque chatbot that can provide a range of insights from developing medical journal submissions to planning road trip itineraries, the Swiss model suggests creating locally based systems that can tackle one specific role.This could be highly advanced sensors that detect when a driver is awake or not, or an AI model that can read faces for security purposes, for instance. Those larger AI models may be able to take a stab at those same roles, but by designing a system that is solely focused on one task, they can be more effective and create a more competitive digital ecosystem without the need for scale.On top of being more achievable, this approach also strengthens digital sovereignty. By developing domestic expertise, research capacity, and targeted infrastructure, Switzerland has reduced its dependence on external systems while retaining the ability to collaborate globally. It preserves regulatory control, safeguards sensitive data, and nurtures homegrown innovation ecosystems.Importantly, this model is replicable. Smaller nations around the world may not be able to develop the massive semiconductor plants or data centers to fuel large language models and the like, but there’s always a possibility to hyper refine and specialize in areas of acute need such as healthcare or manufacturing.A Quantum Opportunity for the Next Generation of LeadersQuantum computing remains in its early stages, presenting a rare opportunity for nations to shape their position before global power structures fully crystallize. Unlike AI, which while not fully matured is beginning to solidify into a few centers of global dominance, quantum still offers space for strategic entry and establishment of leadership.For smaller nations, this represents a critical window. By adopting a Swiss-style model, and embracing precision rather than competition at scale, they can establish leadership in niche quantum domains as they begin to take off and have their AI moment.Quantum technology will underpin future economic growth, cybersecurity frameworks, national defense, and industrial competitiveness. Nations that act early to build research capacity, attract specialized talent, and foster public-private collaboration will gain future advantages. This requires strategic alignment across education, research funding, regulatory policy, and infrastructure development. Universities must be equipped to train quantum engineers and physicists. Governments must provide early-stage funding and clear regulatory frameworks.Arguably most important, nations can secure their own technological independence not to mention the economic benefits. By embedding security, transparency, and regulatory alignment into quantum systems from the outset, nations can avoid repeating many of the challenges seen in the AI era.There’s no question that the opportunities to outspend the superpowers will be limited for those on the outside, but there is an avenue for strategic thinking to find valuable applications. Switzerland’s experience in AI shows that disciplined focus, technical excellence, and strategic patience can enable smaller nations to exert outsized influence in transformative technological shifts before they’re left behind.++About the Author:Alexander Brunner is an expert on the global status of AI and deep tech and is the author of several reports and a book about blockchain and Web3. He is an international speaker on the topic and was a Member of Parliament in Zurich as well as a former commander in the Swiss army.Share this article:Keep track of everything going on in the Quantum Technology Market.In one place.