The Impact of Geopolitics on Technology
I still remember the Slack message that landed in my inbox at 2:47 a.m. Beijing time. A junior analyst at JOYFUL CAPITAL had flagged something unusual: our overnight risk models were showing a 340-basis-point divergence between our US-listed semiconductor holdings and their Asian comparables. Nothing in the fundamental data explained it. Then I opened Twitter and saw the news—new export controls had just been announced, effective immediately. No grace period. No warning.
That night, I learned something that has shaped every investment thesis I've built since: technology no longer moves on engineering timelines alone. It moves on geopolitical timelines. The two are now inseparable, and anyone who tries to model them independently is going to get burned.
For most of the post-Cold War period, the technology sector operated in what felt like a borderless world. Engineers in Taipei, designers in California, and manufacturers in Shenzhen collaborated across time zones with remarkable efficiency. Capital flowed freely. Supply chains optimized for cost and speed, not for political resilience. The assumption—rarely stated, almost universally held—was that economic interdependence would gradually erode geopolitical friction.
That assumption is now dead. Or at least, it's been seriously wounded. From the US-China tech rivalry to the weaponization of semiconductor supply chains, from data localization laws in Europe to sovereign AI initiatives in the Gulf, geopolitics has become the single most important variable in technology strategy. This isn't a temporary disruption. It's a structural reset.
In this article, I want to walk through how geopolitics is reshaping technology across several key dimensions—drawing on both hard data and some personal lessons I've picked up managing cross-border tech portfolios at JOYFUL CAPITAL. Some of these lessons were expensive. All of them were necessary.
Semiconductors as Strategic Assets
If there's one sector where the merger of geopolitics and technology is most visible, it's semiconductors. Chips are the new oil—a phrase that's become almost cliché, but clichés often capture truths that are hard to overstate. Semiconductors sit at the foundation of everything from consumer electronics to missile guidance systems. Controlling chip supply means controlling a vast array of downstream capabilities.
Consider the numbers. The global semiconductor market was valued at approximately $630 billion in 2024, with projections suggesting it could surpass $1 trillion by 2030. But the distribution of that market is anything but balanced. Taiwan Semiconductor Manufacturing Company (TSMC) alone accounts for over 90% of the world's most advanced chip production—the 5-nanometer and below nodes. This concentration is a geopolitical vulnerability that keeps defense planners in Washington, Brussels, and Tokyo awake at night.
The response has been a wave of industrial policy that would have seemed unthinkable in the 2010s. The US CHIPS and Science Act allocated $52.7 billion in subsidies for domestic chip manufacturing. The EU followed with its own €43 billion European Chips Act. Japan, South Korea, and India have all launched similar initiatives. Governments are now the largest venture capitalists in semiconductor manufacturing, and that has fundamentally changed how investment decisions get made.
From an investment standpoint, this creates both opportunity and danger. On one hand, the influx of government subsidies has created new capacity that might not have been economically viable otherwise. On the other, the politics of these subsidies can distort market signals. I've seen companies make capital allocation decisions based primarily on political incentives rather than technical merit—and that rarely ends well for long-term shareholders.
My colleague at JOYFUL CAPITAL, who leads our semiconductor research practice, likes to say: "We used to model semiconductor demand from smartphones and data centers. Now we start with export control policy and work backward." It sounds cynical, but it's accurate. The geopolitical overlay has become the primary driver, not a secondary consideration.
Export Controls and Tech Decoupling
Export controls have become the primary instrument through which geopolitics shapes technology flows. The logic is straightforward: if you can't prevent a rival from developing advanced technology, you can at least prevent them from accessing the tools needed to build it. The United States has applied this logic aggressively, particularly against China's semiconductor and AI industries.
The October 2022 export controls were a watershed moment. They restricted China's access to advanced chips, chip-making equipment, and related software—not just from US companies, but from any company using US technology, which effectively means the entire global supply chain. The rules were tightened again in 2023 and 2024, with new restrictions on AI chips and semiconductor manufacturing equipment.
The results have been mixed, which is exactly what you'd expect. On one hand, China's access to cutting-edge chips has been significantly constrained. Companies like Huawei have been forced to work with older technology. On the other hand, export controls have accelerated China's push for self-sufficiency. SMIC, China's largest chipmaker, has reportedly made progress on 7-nanometer production. Huawei's Mate 60 Pro, released in 2023, surprised many analysts with its advanced chip content.
This is a classic case of unintended consequences. The harder you push, the harder they push back. I've found that in our portfolio modeling at JOYFUL CAPITAL, we now assign a "geopolitical friction premium" to any company with significant exposure to China's tech sector. It's not a precise number—it's more of a qualitative adjustment that reflects the elevated uncertainty. But it's made us more cautious about companies that depend on continued access to Chinese markets for growth.
Data Localization and Digital Sovereignty
While export controls target physical technology, a parallel geopolitical dynamic is reshaping data flows. The era of frictionless global data movement is ending. Countries increasingly view data as a national asset—one that must be controlled and protected within their borders.
The European Union's General Data Protection Regulation (GDPR) was an early and influential example, but the trend has since accelerated. India's Digital Personal Data Protection Act, China's Cybersecurity Law and Data Security Law, and similar regulations in Brazil, Russia, and beyond all impose restrictions on how data can be stored, processed, and transferred across borders. Even within the US, state-level privacy laws are creating a fragmented landscape.
For technology companies, this means radically rethinking their infrastructure. Cloud providers like AWS, Microsoft Azure, and Google Cloud have responded by building "sovereign cloud" offerings—essentially, walled gardens within their broader platforms that comply with local data residency requirements. This is expensive and technically complex, but it's become table stakes.
From an AI development perspective, data localization creates some unique challenges. AI models need data—lots of it. If data is fragmented across national boundaries, model training becomes more difficult and expensive. This is one reason why countries with large domestic data pools, like the US and China, have an advantage in AI development. It also explains why the EU has struggled to produce AI champions despite having strong research institutions and a large market.
I've seen this firsthand in our work on AI-driven investment strategies. Data localization requirements have forced us to maintain separate data pipelines for different jurisdictions, which adds complexity and cost. It's not a dealbreaker, but it's a reminder that geopolitical considerations now penetrate deep into technical architecture decisions.
AI Competition and Sovereign AI
Artificial intelligence has become the newest frontier in geopolitical competition. The US and China are racing to lead in AI development, with significant implications for military capabilities, economic productivity, and global influence. AI is not just a technology; it's a power projection tool.
The numbers tell a story. The US leads in private AI investment, with venture capital funding for AI startups exceeding $100 billion in 2024. China leads in AI-related patents and publications, and has deployed AI at scale in surveillance and public services. The EU is trying to carve out a role as a global regulatory standard-setter, with its AI Act representing the most comprehensive regulatory framework for AI anywhere in the world.
But the most interesting development is the rise of "sovereign AI"—the idea that nations should have their own AI capabilities, trained on their own data, aligned with their own values. France's Mistral AI, the UAE's Falcon models, and India's various AI initiatives all represent this trend. Countries don't just want to use AI; they want to own it.
For investors, this creates both opportunities and risks. Opportunities: sovereign AI initiatives often come with substantial government funding, creating new markets for AI companies that can serve them. Risks: the fragmentation of AI markets could reduce the economies of scale that have driven the sector's growth. If every country needs its own AI stack, the total addressable market might be larger, but the path to profitability for any individual company becomes less clear.
At JOYFUL CAPITAL, we've been particularly focused on AI companies that can navigate this fragmented landscape—those with the flexibility to serve multiple sovereign markets without running afoul of conflicting regulations. It's a narrow needle to thread, but the companies that can do it will be well-positioned for the next decade.
Cybersecurity and Critical Infrastructure
Geopolitical competition has turned cyberspace into a battleground. State-sponsored cyberattacks—like the SolarWinds breach, the Colonial Pipeline ransomware attack, and countless attacks on government and corporate networks—have demonstrated the vulnerability of critical infrastructure. Cybersecurity is no longer just an IT issue; it's a national security issue.
The response has been a surge in government spending on cybersecurity, along with new regulations mandating higher security standards for critical infrastructure. The US Cybersecurity and Infrastructure Security Agency (CISA) has expanded its mandate. The EU's NIS2 Directive imposes new cybersecurity requirements on a wide range of industries. Defense contractors have become cybersecurity companies, and cybersecurity companies have become defense contractors.
From an investment perspective, this dynamic has made cybersecurity a compelling sector. It's one of the few areas where government spending is largely immune to fiscal cycles. Cybersecurity is seen as essential, not discretionary. That's a strong tailwind for companies in the space.
But it also raises uncomfortable questions about the relationship between private tech companies and national security. Should social media platforms be required to cooperate with intelligence agencies? Should encryption have backdoors for law enforcement? These are deeply contested questions with no easy answers. As an investor, I've learned to pay attention to these debates because they can create sudden, sharp changes in the operating environment for technology companies.
Supply Chain Resilience and Friend-shoring
The COVID-19 pandemic exposed the fragility of global supply chains. Geopolitical competition is now reshaping them. The new buzzword is "friend-shoring"—the idea that supply chains should be concentrated in countries that share common values and strategic interests.
This represents a significant shift from the efficiency-maximizing logic that dominated supply chain design for decades. Instead of sourcing from the cheapest producer, companies are increasingly sourcing from the most politically reliable one. The US has encouraged this through initiatives like the Indo-Pacific Economic Framework and by providing incentives for companies to relocate production to allied countries.
The results are visible in real-world shifts. Apple has been moving some iPhone production from China to India and Vietnam. TSMC is building fabs in Arizona and Japan. Intel is expanding in Europe. These moves are expensive and slow, but they reflect a new strategic calculus.
The challenge is that friend-shoring is easier said than done. China's manufacturing ecosystem is deeply embedded and difficult to replicate. Building new supply chains takes years and requires massive investment. In the meantime, companies face a "worst of both worlds" scenario: higher costs from diversification efforts and continued exposure to geopolitical risk in existing supply chains.
My own experience with this was instructive. In 2023, I was part of a team evaluating a potential investment in a semiconductor equipment manufacturer. The company had a promising technology but its supply chain was heavily concentrated in a single region. We spent weeks mapping every supplier and assessing geopolitical exposure. In the end, we passed on the investment—not because the technology wasn't good, but because the geopolitical risk was too high. It was a hard call, and we might have left money on the table. But it was the right call given our mandate.
Talent Flows and Immigration Politics
One of the less-discussed but critically important channels through which geopolitics affects technology is talent mobility. Technology is a people business, and where those people can go matters enormously.
The US has historically been the world's leading destination for tech talent, with its university system and startup ecosystem attracting the best and brightest from around the world. But tightening immigration policies, combined with growing anti-immigrant sentiment in some quarters, have made it harder for companies to hire international talent. The US H-1B visa program remains over-subscribed, with demand far exceeding the annual cap.
Other countries have stepped into the breach. Canada's Global Talent Stream has made it easier for tech workers to immigrate. The UK has introduced new visa routes for skilled workers. Germany, France, and the Netherlands have all launched programs to attract tech talent. China has launched aggressive programs to recruit overseas talent, particularly in AI and semiconductors.
The implications for technology leadership are significant. If the US fails to attract global talent, its technological edge could erode. If China succeeds in recruiting overseas talent, it could accelerate its technological catch-up. The competition for tech talent is a quiet but crucial dimension of the broader geopolitical competition.
At JOYFUL CAPITAL, we've started paying attention to "talent geopolitics" as a factor in our due diligence. Companies with a diverse, globally distributed talent base are more resilient to changes in any single country's immigration policy. That's a qualitative factor that doesn't show up in financial statements, but it matters.
Conclusion: Navigating a Fragmented World
The impact of geopolitics on technology is not a passing phase. It's a fundamental restructuring of how technology is developed, deployed, and governed. The era of "tech knows no borders" is over. In its place is a world of competing technological ecosystems, each shaped by national interests and strategic considerations.
For technology companies, this means navigating an increasingly complex regulatory and political landscape. For investors, it means incorporating geopolitical analysis into every investment decision. For policymakers, it means finding ways to foster innovation while protecting national interests—a delicate balance that few have managed well.
The path forward is challenging, but it's not without opportunities. Companies that can build resilient, geographically diverse supply chains will have an advantage. Countries that can attract and retain tech talent will see their economies benefit. Investors who can read geopolitics as well as they read financial statements will be better positioned to generate returns.
Looking ahead, I believe we'll see the emergence of what I call "geopolitical alpha"—a new source of investment returns derived from understanding and anticipating how geopolitical dynamics will shape technology markets. This will require new analytical tools, new frameworks, and new ways of thinking. But for those willing to do the work, the opportunities will be substantial.
The one thing I'm certain about is that the intersection of geopolitics and technology will only grow more important in the years ahead. The decisions we make today—as investors, as companies, as nations—will shape the technological landscape for decades to come. It's a high-stakes game, and the rules are still being written.
JOYFUL CAPITAL's Insights
At JOYFUL CAPITAL, our experience navigating the intersection of geopolitics and technology has taught us several critical lessons. First, geopolitical risk cannot be treated as a binary switch—it must be integrated into every stage of the investment process, from sourcing to due diligence to portfolio monitoring. Second, the most significant risks are often second-order: the direct impact of sanctions or export controls is obvious, but the cascading effects through supply chains, talent flows, and regulatory environments are harder to predict and often more consequential. Third, we've learned to value "geopolitical optionality"—companies that can pivot between different markets, technologies, or supply chain configurations are worth a premium in this environment. Finally, we believe that the current period of fragmentation, while challenging, will create opportunities for discerning investors. As technology ecosystems bifurcate, new categories of companies—"bridge builders" that can operate across geopolitical divides—will emerge as winners. Our advice: build geopolitical resilience into your investment framework now, because the cost of doing so later will be much higher.