In 2026, the decisions that will impact the future of AI and business are increasingly being taken outside of boardrooms and research labs, in the corridors of global political power.

Over the past decade, we have seen a strategic shift taking place, with governments around the world beginning to treat AI as critical national infrastructure, alongside energy, industry and defense.

This has implications for every business and organization, as questions around data security, our capability to compete internationally, and the cost of access to technology are increasingly shaped by decisions made in Brussels, Washington or Beijing.

So what are the most pressing geopolitical issues affecting AI, business and our lives in 2026? And how is AI itself reshaping the international balance of power?

Three important factors are the controls nations are increasingly imposing on international trade and export of AI technology, the ever-evolving state of AI regulation, and the burning question of AI sovereignty.

So let’s take a look at how these will impact our AI strategies in 2026 and beyond, as well as what we can do to build resilience in the face of geopolitical uncertainty.

In 2026, governments exploiting export controls to create competitive and geopolitical advantages have become normalized. Just this year, we saw the U.S. Bureau of Industry and Security ease up export regulations around the most powerful GPU chips used for AI processing, built by Nvidia, but then backtrack within a matter of months. The aim is to starve Chinese AI developers of the semiconductors needed to develop their own AI infrastructure, ensuring the U.S. maintains its lead in this field.

It isn’t just chips that have been used in this way. In June, three days after Anthropic released its most powerful Claude models so far, the U.S. Commerce Department barred their export to any foreign nationals.

This made it clear that the use of export controls as weapons of international politics is just as likely to be applied to software as well as hardware from now on.

The implications of this are far-reaching; access to tools that many businesses rely on could be withdrawn due to decisions they have no say in. Models can become unavailable overnight, and this could spell disaster for businesses dependent on them for critical processes.

Regulation is another element of the geopolitical chess match. E.U. regulators have fined U.S. tech firms more than $7 billion in the past two years as they seek to assert authority and influence on the outcome of the AI revolution. Washington has responded with tariff threats and sanctioned campaigns against online disinformation, claiming they are attempting to censor online free speech.

And all of this hinges on the overarching issue of AI sovereignty. Nations of all sizes are becoming increasingly aware of the need to bring AI capabilities and infrastructure under their own control, rather than relying on other states. This has led to the number of state-backed AI supercomputing clusters in Europe and Central Asia rising from three to 44 since 2018, according to Stanford’s 2026 AI Index.

On top of this, it also found that more than half of newly adopted national AI strategies come from emerging economies, highlighting that AI capability is increasingly seen as a critical component of statehood and essential to building international influence.

Indisputably setting the global agenda on AI and geopolitics are the two AI superpowers: the USA and China. Between them, they account for the overwhelming majority of frontier model development, compute capacity and investment.

When Washington imposes export restrictions, or Beijing mandates that state-controlled data centers must use domestic chips , businesses across the globe pay the consequences.

Understanding the dynamics of their relationship is critical to anticipating how the geopolitics of AI will impact our lives and businesses.

In terms of raw capability, there’s not much between them; Stanford’s AI Index now puts the gap between the best U.S. and Chinese models at less than three percent. What is notable, though, is that this has dropped from as high as 30 percent, in the U.S.’s favor, just three years ago. And this is despite American AI companies attracting 23 times more in private investment than their Chinese competitors.

The biggest proprietary models, like GPT and Claude, are developed in the USA by companies under U.S. jurisdiction. On the other hand, China is pressing the advantage when it comes to open source. Here, the most popular models are those developed by Chinese firms such as DeepSeek and Alibaba. This means anyone looking to run a model on their own hardware is increasingly choosing Chinese technology.

The potential geopolitical ramifications of this could be huge. America is essentially betting that victory in the global AI arms race will go to the nation controlling the most powerful models.

China, on the other hand, is pursuing a different strategy, believing its advantage will come from controlling the models the rest of the world chooses to use. Time will tell who is right.

Key Takeaways For Business Leaders And Professionals

Although we as individuals and business leaders may not have much influence over the geopolitical decisions driving these issues, understanding them is key to reacting effectively and building resilience.

The emerging picture is of a global AI landscape increasingly fragmented along national lines. Distinct hardware ecosystems, rival models and competing regulatory regimes all mean that the jurisdictions in which you build, sell and operate must all factor into your AI strategy.

For organizations operating internationally, this means working with abstraction layers so models, datasets and compliance can be switched in and out when global political turbulence makes it necessary.

It also means understanding how your business would be affected if AI services you rely on become unavailable tomorrow, and putting contingencies in place.

Most importantly, prepare for a future where geopolitical uncertainty is a permanent feature, rather than a passing disruption. Building resilience now could mean the difference between weathering the next global shock and being overwhelmed by it.