Introduction
What would you think if someone told you that two Country + AI identities have been registered across 79 TLDs each? Would you call that ordinary domain registration or something much bigger. Our latest analysis of the global Country + AI domain landscape reveals that USAI.com and UKAI.com each have 79 TLDs while ChinaAI.com has 44 and IndiaAI.com has 30.
When did these identifies emerge? why were were some registered across dozens of TLDs? Does economic size matter? And what can registration breadth tell us about the formation of digital territory around the AI economy. The first question is no longer: "Who owns the domain?"
After mapping Country + AI domain availability across 190 countries and territories, we knew that most of the landscape had already been captured. 166 were taken. Only 24 remained available. But availability tells only the first part of the story. A taken domain raises a much more interesting set of questions: When was it registered? Was it registered recently, or years before the current AI boom? Was one domain enough? Or did someone register the same Country + AI identity across multiple TLDs? And perhaps the most important question: Does the breadth of registration tell us something about how the market viewed that digital identity? That is where the next layer of the MyDomainPlan research begins.
163 Registered Domains with Age Data
Of the 166 registered Country + AI domains identified in the principal dataset, 163 had usable age data for this analysis. Three did not. And the age distribution immediately challenges one possible assumption: Country + AI is not simply a phenomenon of the last few years. The data contains registrations that are more than 20 years old. At the same time, the majority are relatively recent.
Looking at the full distribution, domains under one year old account for 13 registrations, or 8.0% of the total. The 1-4-year bracket is by far the largest, holding 101 domains and representing 62.0% of all registrations. Domains aged 5-9 years number 35, or 21.5%. The picture then thins out considerably: the 10-14-year bracket holds just 8 domains (4.9%), the 15-19-year bracket holds 4 (2.5%), and only 2 domains i.e. 1.2% of the total, have been registered for 20 years or more. Altogether these figures account for all 163 domains with usable age data.
That means 114 of the 163 domains with age data, almost 70%, are less than five years old. Interestingly, we appear to be looking at two things simultaneously: an older foundation, and a much larger recent wave of registration. That is an important distinction.
But Here Is Where the Data Becomes Really Interesting
Age alone is useful. Age plus TLD breadth is much more revealing. When the registered domains are grouped by age, the average number of TLDs associated with them rises progressively with age. Domains under one year old carry an average of 3.8 TLDs. That average climbs to 5.6 for domains aged one to four years, then to 8.9 for the five-to-nine-year bracket. It continues upward to 12.4 TLDs for domains aged ten to fourteen years, 15.8 for the fifteen-to-nineteen-year bracket, and reaches its peak of 17.0 TLDs among domains that are 20 years old or more.
That produces one of the clearest patterns in this study. But what does that mean? Was the identity considered important enough to protect across multiple extensions? Did early registrants have more time to expand their footprint? Did successful or strategically important identities attract additional registrations? Or is this simply the cumulative effect of time? The data does not by itself answer those questions. But it clearly shows that domain age and registration breadth are associated in this dataset. And that deserves attention.
One Domain or a Digital Territory?
This may be one of the most important conceptual differences revealed by the research. A Country + AI identity registered in a single TLD represents one level of digital positioning. An identity registered across multiple TLDs represents something different. It creates a broader digital footprint. The distinction is therefore not simply: registered vs. unregistered. It may also be: single-point registration vs. multi-TLD territorial coverage. This is why looking only at the availability of the .com domain can conceal part of the underlying landscape. A country identity may already have substantial registration activity elsewhere in the domain-name system.
Four Countries That Change the Picture
The aggregate data tells us that larger economies tend to have broader TLD footprints. But averages can hide the most interesting part of a dataset. Four cases stand out particularly strongly. USAI.com has been secured across an extraordinary 79 TLDs. UKAI.com matches it exactly, also at 79 TLDs. ChinaAI.com follows with 44 TLDs, and IndiaAI.com with 30 TLDs These four identities immediately raise a different question: What happens when a Country + AI identity becomes sufficiently important, or sufficiently recognizable, for registration to extend far beyond a single domain extension? The answer is visible in the registration footprint. That is a very different level of digital territorial coverage from the average registration footprint observed across the wider dataset.
Why Are These Four So Interesting?
Look at the contrast. The overall analysis shows that the average number of TLDs rises with domain age. It also shows that large economies have an average footprint of 8.7 TLDs. Yet these four identities extend far beyond that average. 79 TLDs. That is not simply "taken." It is broadly registered. And this raises several questions: Is the registration breadth a reflection of the economic importance of the country? Does population matter? Does global recognition matter? Does the short-form identity itself create additional value? Or does extensive registration reflect defensive domain strategy accumulated over time?
The dataset cannot establish which of these factors is responsible. But it can show us that registration breadth varies enormously, and that some geographic identities have attracted exceptional levels of registration activity.
USAI.com and UKAI.com: The Short-Form Effect?
There is another reason these two cases deserve special attention. USAI.com and UKAI.com are not conventional full-country-name + AI constructions. They are short-form geographic identities + AI. That makes them particularly interesting from a domain-intelligence perspective. A short, recognizable geographic acronym combined with "AI" can produce an exceptionally compact digital identity. And the registration footprints are striking: both USAI.com and UKAI.com reach 79 TLDs apiece. The fact that both reach the same extraordinarily broad footprint is itself noteworthy.
It raises an important research question: Could short, internationally recognizable geographic identities produce a different registration pattern from full country names? This is precisely why the MyDomainPlan research distinguishes between the principal Country + AI dataset and supplementary short-form identities. The original availability study separately recorded USAI.com, UKAI.com and PalestineAI.com because these alternative geographic forms have potential relevance as AI First Gates.
China and India: Two Giants, Two Large Footprints
ChinaAI.com has 44 TLDs. IndiaAI.com has 30 TLDs. These are particularly interesting because they allow us to observe the footprint of two of the world's most consequential national digital identities without relying solely on the overall economic-size averages.
The question becomes: When a country combines enormous population, major economic significance and global technology visibility, does the Country + AI identity attract correspondingly broad registration? The four-country sample cannot answer that statistically. But it gives us a compelling signal. And it suggests that economic and demographic scale should be examined alongside domain-registration behaviour rather than separately from it.
The 79-TLD Question
Perhaps the most intriguing observation is not that these domains are registered. It is how extensively they are registered. Consider the progression from a single TLD, up through five, ten, thirty, and forty-four, all the way to 79. At what point does a domain stop looking like an isolated registration and begin to look like a digital territory being systematically secured There is no arbitrary threshold at which that happens. But the question is worth asking. Because domain intelligence is not only about whether an identity exists. It is also about the depth and breadth of the footprint surrounding that identity.
A New Metric Worth Watching: TLD Depth
This suggests another useful concept for the MyDomainPlan research: TLD Depth. Not simply: Is the domain registered? But: Across how many TLDs has the geographic + AI identity been secured? TLD depth could become a useful descriptive market signal alongside domain age, availability, economic significance, population, geographic importance, registration timing, and other observable market signals.
It does not mean that more TLDs automatically equals greater value. Rather: a broader footprint may indicate greater attention, stronger defensive positioning, longer registration history, or a combination of factors. That distinction is important.
And This Changes How We Should Read the Global Map
The first report showed us that 166 of 190 principal Country + AI identities were already taken. The second report showed us where the remaining 24 are concentrated. Now the registration analysis tells us that "taken" is only the beginning of the story.
Two domains can both be marked TAKEN. Yet their underlying market signals can be radically different. One may have just a single TLD and a recent registration date, while another may carry 79 TLDs and a long registration history. Both are technically "taken." But from a domain-intelligence perspective, they are clearly not the same phenomenon. That is the deeper story this research is uncovering.
Does Economic Size Matter?
Now another question emerges. Are larger economies more likely to have broader Country + AI TLD footprints? The data shows a clear gradient. Large economies average 8.7 TLDs. Medium economies average 6.1. Small economies average 4.8. And very small economies average just 3.9. That is a substantial difference. The observed average footprint for large economies is more than twice that of very small economies.
That suggests a relationship between economic scale and registration breadth in this dataset. But again, we should be careful. Economic size does not explain everything. There are exceptions. And the research is measuring domain-registration behaviour, not the level of AI development inside a country. That distinction matters.
What About Population?
Here another fascinating question arises: Does a larger population automatically produce broader Country + AI registration? The answer appears to be not automatically. The broader research shows registration occurring across different population sizes and economic categories. Older and newer registrations are not confined to one particular class of country.
This is important because population and economic size are related, but they are not the same variable. A country can have a large population but a relatively modest economy; a small population but very high economic significance; a small population and small economy; or a relatively large economy with a smaller population.
So the question becomes more sophisticated: Is Country + AI registration responding to population, purchasing power, international visibility, economic significance, or some combination of these? This dataset cannot establish causation. But it gives us something potentially more valuable at this stage: observable patterns worth investigating.
And Then Geography Enters the Picture
The regional numbers add another layer. Europe leads with an average TLD footprint of 7.8, followed by Asia at 6.9. The Middle East averages 5.7, Africa 5.2, the Americas 4.6, and Oceania trails the group at 4.1. Europe leads the observed average footprint, followed by Asia. But perhaps the more interesting finding is what happens at the other end. Oceania has the lowest average footprint in this grouping.
Does that mean smaller island jurisdictions have less strategic value? Absolutely not. In fact, the previous availability analysis showed that island states and smaller jurisdictions form a noticeable part of the remaining availability landscape.
This raises another question: Could lower historical registration breadth itself be creating pockets of digital scarcity? That is a hypothesis, not a conclusion. And it is precisely the kind of question that domain intelligence will investigate.
The Surprising Part: Country Size Is Not the Whole Story
If economic size were the only determinant, the data would be relatively easy to interpret. Unfortunately, it is not. The age analysis shows older registrations across different regions and economic categories, while recent registrations also appear across a broad range of countries. So we should resist a simplistic formula such as: large country = early registration. The evidence does not support that. Nor does it support: small country = late registration.
The landscape is more complicated. That complexity is precisely what makes the dataset interesting.
What Does “Early” Really Mean?
There is another trap we need to avoid. Suppose a Country + AI domain was registered 15 years ago. Can we say that country was an early adopter of AI? No. A domain registration tells us when the digital identity was registered. It does not tell us when the country began adopting AI. The research therefore makes an important methodological distinction: domain age ≠ AI adoption timing.
A domain could have been registered speculatively, defensively, commercially, experimentally, or for reasons completely unrelated to subsequent AI development. The registration date is therefore best treated as a digital identity timing signal, not proof of AI adoption.
What Are We Actually Seeing?
Putting the different dimensions together produces a much richer picture. We can now look at Country + AI domains through several lenses simultaneously:
- Availability — is the identity still available?
- Age — how long has the identity existed?
- TLD breadth — how widely has the identity been registered?
- Economic scale — does the registration footprint differ between large and small economies?
- Population — does population size correspond with registration breadth?
- Geography — are some regions more heavily represented in multi-TLD registration?
- Development classification — do advanced, emerging and developing economies display different registration patterns?
- Timing — are we seeing an early registration layer, a growing middle period and a recent registration wave?
This is no longer simply a domain availability study. It is beginning to look like a study of digital territorial behaviour.
The Big Question
Imagine looking at two countries. Country A registered its Country + AI identity many years ago and has secured it across numerous TLDs. Country B registered its identity recently and has only a small footprint.
Both domains may simply appear as "Taken" in a conventional domain search. But are they really equivalent? The availability result says yes: both are taken. The domain intelligence says: not necessarily. One may represent a long-established digital identity with broad registration coverage. The other may represent a much more recent registration event.
That is why availability alone cannot describe the entire market.
From “Taken” to “How Deeply Captured?”
This may be the most important evolution in the research. Our first analysis asked: What exists? The second asked: Where is availability concentrated? This analysis asks: How deeply have existing Country + AI identities been captured?
And the answer is not simply about whether a .com is registered. It involves age, TLD breadth, geography, economic scale and population characteristics. The data suggests that some Country + AI identities have developed significantly broader digital footprints than others. And the relationship between age and TLD breadth is particularly striking.
What Does This Mean for the AI Economy?
The significance extends beyond domain names. As AI becomes increasingly organized around national AI strategies, government AI initiatives, national AI infrastructure, AI ecosystems, AI investment, AI platforms, AI services, and country-specific digital identities, the geographic layer of the AI economy becomes increasingly important.
A country name combined with AI is not merely a string of characters. It can potentially function as a digital geographic identifier. That is the foundation of the AI First Gates thesis. But this research is not claiming that every registered Country + AI domain is an AI First Gate. Instead, it is documenting the underlying digital territory from which such identities may emerge.
And Now the Most Interesting Questions Begin
If almost 70% of the registered domains with age data are less than five years old, what happens as AI adoption accelerates? If older registrations have substantially broader TLD footprints, will today's recent registrations follow the same trajectory? If large economies average 8.7 TLDs while very small economies average 3.9, what explains the exceptions? If Europe averages 7.8 TLDs while Oceania averages 4.1, is this simply market size, or are there deeper differences in digital registration behaviour?
And perhaps the biggest question: What happens to the remaining available Country + AI identities once the market fully recognizes their potential? We do not yet know. But now we have a baseline against which future changes can be measured.
From a Domain List to a Market Map
This is ultimately what the MyDomainPlan research is trying to accomplish. Not simply to identify domains. Not simply to identify availability. But to understand patterns of digital identity formation.
The Country + AI study is beginning to reveal who registered, when they registered, how broadly they registered, where registration is concentrated, how economic size relates to registration breadth, and how geography relates to TLD footprint. And importantly, where the data refuses to give us a simple answer. That last point may be just as valuable as the patterns themselves.
The Next Layer
The next stage of this research will move from the global pattern to the individual country level. For selected countries, we can ask much more precise questions: When was the identity first registered? Which TLDs were secured? How has the footprint developed? What alternative geographic identities exist? How does the country's economic and AI significance compare with its digital identity footprint? Are there gaps between geographic importance and domain coverage? And ultimately: Which Country + AI identities have the characteristics of emerging AI First Gates?
That is where the research becomes much more granular.
A Note on Methodology
This analysis is based on the MyDomainPlan Country + AI research dataset and the registration-age/TLD observations available as of 5 September 2026. The principal study covers 190 countries and territories. Of the 166 registered domains, 163 had usable age data for the age analysis. The findings describe observable registration patterns and market signals. They should not be interpreted as proof of causation, AI adoption, institutional ownership, commercial use or government endorsement.