Technology is accelerating.
Over the last few months, the world has witnessed Presidential abductions, blockades of nation states; threats of invasion; the renaming of the US Department of Defence (DoD) as the War Department and, of course, real bombs have continued to drop on various countries.
But there is another less obvious world war being waged and that’s the war for AI dominance. In fact, one of the motives for actual military action may be the need for rare earth elements (REEs) to drive chip manufacturing and to feed the AI marketplace and Big Tech companies.
The global conversation about AI has, for most, seemed somewhat abstract or academic. Something for governments, corporations and technology firms to worry about. The rest of us may chat to our LLMs, but we have stayed largely focused on the day job.
That luxury has gone.
The AI war is already reshaping power, geopolitically, economically, culturally and organisationally. It is altering how competitive advantage is created, how decisions are made, and how quickly winners and losers are separated. And the AI war is happening in most companies, quietly, beneath the noise of product launches and regulation debates.
Within the war there are three major battles.
· The Battle for Vertical Integration
· The Battle for Private Data and
· The Battle for Artificial General Intelligence.
There are eight distinct levels in the AI ecosystem. At the bottom of the inverted pyramid, at level 1, China dominates. It has hoovered up 80% of the global supply of minerals and REEs that are needed for chip manufacturing and AI tech. At level 2 chip manufacturers like NVIDIA and AMD dominate alongside massive data centres owned by companies Iron Mountain or China Telecom. Most of the interest is at level 5 where there’s an LLMs battle and of course at level 8 there continues to be a proliferation of Apps helping us with everything from protein folding to PowerPoint presentations.
Most big companies operate at multiple levels of the ecosystem. They obviously seek to dominate their home level but they also branch out and send roots into other levels to consolidate what they hope will be a competitive advantage.
At a geopolitical level, governments support their tech companies in establishing dominance through superior models, resources, funding or access to vast, imperfect data sets. This takes us to the second great battle the Battle for Private Data. Tech companies have hoovered up all publicly available data, and know there is a general belief that those that can either access, buy or hack into private data sets will gain a compelling advantage over their rivals. Intelligence agencies understand the power of information.
At a corporate level there is an analogous battle for data, which hinges, largely, around access to data, quality integration of data streams and meaning making.
AI has flattened our access to knowledge which is why strategy decks, market analysis, and financial modelling don’t confer the competitive advantage they once did.
When everyone has access to similar tools, the differentiator becomes something else entirely: how intelligently leaders use what AI produces.
And this is dependent on the quality of human minds – their ability to interpret, to think disruptively and to innovation. We have already seen the super smart organisation quietly investing in the development of their people. Buit not in building their skills or capability. No. In helping them become more sophisticated human beings.
Competitive advantage, in the future, will be increasingly driven by what is uniquely human. Ironically it is human intelligence not AI that will define the winners and losers in the War for AI Dominance.
Why because AI does not remove complexity. It amplifies it.
AI increases the volume of information, the speed of feedback, and the number of plausible options. In doing so, it places unprecedented demands on human cognition, emotional regulation, and ethical judgement. Leaders who cannot integrate across these dimensions become overwhelmed, reactive, or overly dependent on algorithmic outputs they don’t fully understand.
This is why the conversation about AI is incomplete, and in some cases dangerously naive.
Corporations talk endlessly about adoption, governance, and efficiency gains. But they talk far less about whether the human intelligence inside organisations is actually developing fast enough to keep pace.
Technology is accelerating, horizontally.
Human vertical maturity, in most leadership systems, is not.
This tension sits at the heart of my upcoming book, Smarter than You. Not as a warning about machines replacing humans, but as an exploration of a deeper risk: leaders outsourcing thinking rather than expanding it.
The future will not be won by those with the smartest AI.
It will be won by those who can become smarter, in partnership with AI.
That requires leaders who can hold multiple perspectives simultaneously, remain coherent under pressure, integrate short- and long-term goals, and apply judgement where data is incomplete or morally ambiguous. These are developmental capabilities, not technical skills.
And they are unevenly distributed.
We are entering an era where competitive advantage rests less on what your systems can do, and more on what is uniquely human; the smartness of your leaders and what they can see, sense, and decide in partnership with AI systems.
This is true for nations.
It is true for organisations.
And it is true for individuals at the top of complex enterprises.
AI is not just changing the rules of competition. It is exposing the limits of current leadership development models, and forcing a rethink of what intelligence really means in the 21st century.
The invitation for leaders now is not simply to invest in better technology, but to rethink their own relationship with intelligence itself.
Because in a world where machines are increasingly smart, the real question becomes uncomfortably personal:
Are we developing fast enough to stay ahead of what we’ve created?