Last updated on May 29, 2026
⚡ Quick Summary & Key Takeaways
- The era of generic AI scaling is over; 2026 is defined by national sovereignty, where countries like Estonia and Saudi Arabia are building bespoke infrastructure to meet unique demographic needs.
- Shadow AI remains a massive, unmanaged risk, with 80% of internal organizational AI usage currently operating outside the sight of leadership and compliance.
- Technology cannot replicate the "human advantage"—deep, historical networks and complex decision-making—which is becoming the most valuable asset for leaders in an automated world.
For five years, the AI story had four postcodes.
San Francisco. Brussels. Beijing. Maybe London on a slow news day. That was the map most people were reading.
That map is wrong now.
In 2026, every serious nation is building its own AI approach, writing its own rules, and placing its own bet. Estonia. Saudi Arabia. Singapore. India. Croatia. Six radically different answers to the same question. And almost nobody is telling these stories together.
That is the gap. That is why this series exists.
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I am Nat Schooler — ex-IBM futurist, host of Influential Visions with over 500 expert interviews across a decade. And I am telling you plainly: we are not watching a technology arrive. We are watching the world reorganise around a new kind of power.
The Race Has Changed
From 2020 to 2025, the race was simple. Who had the biggest model, running in the cloud, at the greatest scale?
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That race is over. In 2026, the contest is about who runs and owns what sits underneath — the energy, the compute, the people, the trust.
Who controls the models your government uses? Who writes the rules your citizens live under? Who owns the networks your economy depends on?
Ten years ago, those questions felt abstract. I remember a conversation with a government adviser — the faint smell of coffee and printed briefing papers in a room that was too small for what was actually being discussed. He said AI was a technology question. I said it was a power question. In 2026, we have the proof.
Five Facts That Should Stop You
Before you decide this does not affect you, consider what is already on the ground.
One. Saudi Arabia has built the world’s largest government-run AI data centre — 480 megawatts of capacity. They call it Hexagon. It sits inside a $100 billion programme called Project Transcendence, and they have declared 2026 the year of artificial intelligence. This is not a pitch deck. This is concrete, fibre, and compute already running.
Two. Estonia launched esti.ai with one goal: double the value of human work by 2035. Not for growth. For survival. Their working-age population is collapsing, and AI is their demographic answer.
Three. Eighty per cent of the AI running inside most companies right now is invisible to the board. Employees are using personal accounts; risk officers have no visibility. Shadow AI is not a future risk — it is a present reality sitting inside your organisation today.
Four. AI compute in India costs one third of what it costs in the West. India launched its own national AI model in February. The global South is not waiting for permission anymore.
Five. Singapore is retraining 100,000 professionals — engineers, lawyers, accountants — to be bilingual in AI by the end of this year. No Western government is attempting anything close to that scale. That gap will be felt.
The Story Is Not Scale. It Is Divergence.
If you read those five facts and thought “so AI is just getting bigger everywhere,” you have missed the point entirely.
Every country is making a different bet, on different values, answering different questions. The loudest voices are not always the ones winning. The fastest builders are not always the ones who last.
This is not a technology race anymore. It is a civilisational choice about who shapes what comes next — and the places making the biggest noise are not always the ones building the deepest foundations.
Three Lenses. Every Episode.
To make sense of what is happening, I have built this series around three questions.
Power. Who writes the rules? Who ships first? Who sets the standards everyone else is forced to follow — and who gets left behind when they do?
People. What happens to workers when an AI agent can handle sixty per cent of their role inside a year? What happens to citizens when a government chatbot becomes the front door to every public service? What happens to trust when you cannot tell whether the voice at the other end is human?
Place. Why does geography still matter inside a technology that pretends it does not? A decision made in Estonia cannot simply be copied into Croatia. Culture, history, and lived reality shape outcomes in ways no model can override.
Power. People. Place. That is the map.
The Human Advantage No Model Can Touch
Here is the point of view I will defend across every episode of this series.
AI scales volume. Human networks scale judgement.
The nations winning with AI are not the ones with the biggest models. They are the ones with the strongest trust built underneath — the decision-making capacity, the institutional knowledge, the earned credibility between people who have worked through hard problems together.
After more than twelve years and over 500 expert conversations, I can tell you this with certainty: the thing technology cannot replicate is history.
A twelve-year relationship is the one thing no model can fake. That is not sentiment. That is a strategic reality. AI can simulate warmth. It can simulate authenticity. It cannot simulate the weight of shared experience — the look across a table when something goes wrong, the quiet confidence that comes from having been through the difficult parts together.
That human edge is not shrinking. It is appreciating in value, year by year, as everything around it becomes automated.
What This Series Delivers
My first guest is Nicolas Babin — European Union digital ambassador and former head of Sony Europe. He argues we are living through what he calls a creative revolution, and that the polished corporate executive is finished. Honest, lived, visibly human leadership is the only thing left that AI cannot replace.
After that, I am chasing voices from Croatia, Estonia, the Gulf, Singapore, and India.
If you advise a minister, run a company, or are simply trying to make sense of a world where the rules are being rewritten faster than you can read them — this series is built for you.
What You Can Do Right Now
Three practical moves, beginning today:
- Audit your Shadow AI exposure. Ask your team what AI tools they are using personally for work tasks. The answer will surprise you — and you need to know it.
- Map your trust network. The contacts who would take a call from you today, without an agenda, without a pitch. That list is worth more than any technology budget.
- Follow the countries getting it right. Estonia, Singapore, and India are not doing this for headlines. Watch what they are actually building and ask whether your organisation is asking the same questions.
The Distance Is Shorter Than You Think
The speed of change is real. The uncertainty is real. The pressure on every leader trying to orient themselves in this moment is real.
But so is this.
The people who understand what is actually happening — not the headlines, but the human forces underneath — are the ones who will shape what comes next. That understanding is not locked behind a government budget or a PhD. It is available to anyone willing to look past the noise and ask better questions.
Subscribe to this series. Share it with one leader you know who is asking the wrong questions about AI. And tell me which country you want covered next.
The world is reorganising. The people who understand the human layer will help lead that reorganisation.
That could be you.
Nat Schooler is co-founder of Monday Influencer®, host of the Influential Visions podcast, and a global marketing and innovation consultant. Monday Influencer® delivers curated expert audio, exclusive interviews, and the Abstract publication — for leaders who want signal over noise. Join at mondayinfluencer.com
What is driving the shift in the global AI race in 2026?
Why is 'Shadow AI' considered a major risk for organizations?
How can professionals maintain a competitive advantage in an AI-driven world?
💡 Frequently Asked Questions
What is driving the shift in the global AI race in 2026?
The focus has shifted from mere model scale to national sovereignty, energy independence, and the infrastructure of compute. Countries like India, Saudi Arabia, and Estonia are building bespoke AI strategies that prioritize their specific demographic and economic needs rather than relying on global tech giants.
Why is 'Shadow AI' considered a major risk for organizations?
Shadow AI occurs when employees use personal AI accounts for work-related tasks without IT or compliance oversight. Current data indicates that up to 80% of AI usage within organizations is invisible to leadership, creating significant security and governance vulnerabilities.
How can professionals maintain a competitive advantage in an AI-driven world?
While AI excels at scaling volume, human networks and historical relationships scale judgement. Professionals who cultivate deep, trust-based networks and focus on complex decision-making leverage a 'human advantage' that cannot be replicated by automated systems.