What markets tend to miss
One of my favorite observations about politics is that people tend to overestimate the importance of elections in the short run, while underestimating the importance of structural forces over time.
Markets often fall into the same trap. We as investors obsess over events and underappreciate systems.
The last few months provide an excellent example.
Consider China.
Despite all the moving parts of Trump 2.0, Ukraine, Iran, and a rapidly fragmenting international environment, China's core strategy has remained surprisingly consistent.
Beijing's objectives look much the same today as they did years ago: strengthen domestic capabilities, reduce dependence on foreign suppliers, develop advanced technologies, modernize the military, and increase strategic autonomy.
That observation matters because it highlights a broader shift that lives beyond any one election cycle: Competition between the US and China has become structural.
Today, that geopolitical reality is shaping domestic politics in the US to a degree that most investors underappreciate. The rhetoric differs between political parties, of course. So do their tools and emphases. But the underlying direction is more bipartisan than it may appear on the surface.
Regardless of who controls Congress in January, I therefore expect a continued policy focus on national security priorities: semiconductor leadership, artificial intelligence, critical minerals, supply chain resilience, advanced manufacturing, and — above all — strategic competition with China.
That’s because these priorities have become embedded in the system. And investors should pay close attention to embedded trends, as they tend to last longer than election cycles.
Artificial intelligence provides a useful example.
Much of the debate around AI — including the arguments shaping most of today’s midterm election analysis — involves regulation, labor displacement, environmental and energy cost concerns, or head-spinning technological breakthroughs.
But what strikes me most is that both parties increasingly view AI through the lens of national competitiveness, economic strength, and especially, national security.
A decade ago, AI was largely a technology or productivity story. Today, it is becoming an infrastructure story.
The policy conversation in Washington is now focused on how to govern AI, deploy it, secure it and — above all — how to compete with China to ensure US economic and national security as this technology rapidly develops.
Once an issue reaches that stage, it rarely disappears after an election.
I think the same can be said of industrial policy.
For much of the post-Cold War era, policymakers, companies, and investors largely assumed that economic efficiency should determine where capital was allocated and where production occurred. That was the golden rule of globalization.
But in a world marked by rising geopolitical competition and real military conflict, events are pointing to the same lesson:
- The Iran war reminded us that energy security and maritime chokepoints still matter.
- Ukraine continues to demonstrate that industrial production, logistics, munitions, and force generation often matter more than sophisticated systems alone.
- Taiwan's recent military exercises focused less on displaying advanced equipment and more on reserve mobilization, command flexibility, communications resilience, and societal preparedness.
The common thread here isn’t politics — it’s resilience. The ability to manufacture, replenish, adapt, mobilize, and sustain is playing an ever-larger role in shaping both national security outcomes and investment opportunities.
That’s reality and reality is not a Republican idea nor a Democratic idea. It’s therefore unlikely to change on Election Day.
Perhaps the most important trend is the growing blur between economics and national security. That’s because for most of the past four or five decades, investors could largely analyze geopolitical issues separately from economic ones.
That’s now becoming much harder. Access to critical minerals is both an economic issue and a security issue. Same, too, with semiconductors. Cybersecurity, energy infrastructure, and the centrality of AI all further blur these lines.
Even the recent cyberattacks against US water utilities in Michigan and Minnesota carry lessons that extend beyond cybersecurity by underscoring that critical infrastructure, public trust, digital resilience, and systems reliability are becoming central components of national power.
These issues are today shaping capital allocation decisions regardless of which party controls Congress next year or occupies the White House in 2029.