The infrastructure of intelligence is being built — and
concentrated — faster than the world has begun to reckon with
Talal Abu-Ghazaleh
April 2026
We are not
merely witnessing a technological revolution. We are witnessing the formation
of a new global hierarchy, one built not on land, oil, or military force, but
on computational capacity, data control, and algorithmic power. I have observed
many transformations in my time at the intersection of international business,
knowledge development, and multilateral governance, but I have never seen power
concentrate this quickly, or be accepted with this little resistance.
What is being
constructed beneath the language of progress and human flourishing, is a new
form of hegemony. However, the world has not yet begun to reckon with what that
means.
“These are
not the investments of companies building products. They are the investments of
entities building infrastructure.”
The scale of
investment makes the point impossible to ignore. In February 2026, OpenAI
closed the largest private funding round in history, raising $110 billion at a
valuation of $730 billion, backed by Amazon, Nvidia, and SoftBank. Nvidia has announced
trajectories toward one trillion dollars in data center revenue within a few
years, a figure that exceeds the GDP of most nations on earth.
I spent
decades advocating for the democratization of knowledge and the empowerment of
nations historically excluded from the centers of global power. What I see
being built today runs in the opposite direction. The infrastructure of AI is
becoming more centralized, more capital-intensive, and more geographically
concentrated than any technological system that came before it.
I have always
believed in the first-mover advantage and warned that the future belongs to
those who build, own, and govern the tools of knowledge. Today, those tools are
no longer libraries, universities, or search engines. They are vast networks of
data centers, advanced semiconductors, and proprietary models that require
energy and capital on a scale only a handful of actors can mobilize.
The companies
racing to build them speak of serving humanity, yet they operate within
economic systems that reward dominance, speed, and market control above all
else. Even organizations that once positioned themselves as guardians of
responsible AI development now find themselves relaxing their own safety
standards out of fear of falling behind. This is not a criticism of
individuals, it is an observation of the structural forces that drive their
decisions.
In a world
where the first to reach a certain threshold of AI capability may gain
geopolitical influence that rivals that of nation-states, no company will
willingly slow down, and no investor will encourage caution when trillions are
at stake.