Quick answer: Compare countries using the same dataset, AI definition, location rule, funding scope, date basis and currency method. Then examine total funding, deal count and median deal size together, alongside missing-value coverage and concentration in large rounds. These measures answer different questions; none should stand alone as a verdict on an ecosystem.
Before using a funding ranking to shortlist markets, plan fundraising or assess competitors, write down exactly what the ranking measures. “Investment in AI companies headquartered in a country” is a different question from “investment made by investors based there.”
The OECD’s February 17, 2026 brief examines venture-capital investment in AI firms through 2025. It explicitly distinguishes that scope from broader AI spending, including internal corporate and government investment. Treat VC comparisons as one view of an ecosystem—not its complete balance sheet. (oecd.org)
1. Define the comparison before downloading the numbers
Start with a sentence that another analyst could reproduce:
“Compare funding rounds for qualifying AI companies headquartered in each selected country, announced during the same calendar year, using one provider and a documented set of financing filters.”
Then choose the measure that fits your decision:
| Reader’s question | Useful starting measure | Essential companion check |
|---|---|---|
| Where is the most recorded capital going? | Total round value | Largest-round concentration |
| Where are more funding events recorded? | Deal count | Unique funded-company count |
| What size is the middle reported round? | Median deal size | Stage mix and amount coverage |
| Where should a seed-stage founder investigate investors? | Seed-stage deals and amounts | Actual investor mandates and participation |
Do not confuse the unit of observation. One company raising twice creates two rounds, not two funded companies. Similarly, a syndicate with several investors is not automatically several separate rounds.
Practical check: Keep a small comparison specification above your spreadsheet: dataset, extraction date, period, geography, AI filter, financing types, date field and missing-value treatment. If any item differs between countries, explain the difference before presenting a ranking.
2. Check what qualifies as an AI startup
The OECD.AI methodology includes private companies developing AI systems or products and services that rely significantly on them. Identification combines Preqin classifications with automated keyword analysis of company descriptions. This is broader than a list consisting only of foundation-model developers. (oecd.ai)
For your comparison, decide whether the scope is:
- All qualifying AI businesses.
- Generative-AI companies.
- AI application businesses in a particular industry.
- AI-related compute or infrastructure businesses.
Do not quietly switch between these groups. The OECD methodology also warns that AI subsets can overlap: generative AI and compute, for example, are not necessarily mutually exclusive categories. Adding their totals can therefore double-count deals. (oecd.ai)
How to act: Review the largest included companies and a sample of smaller ones. Ask whether each fits the stated definition, rather than whether its description merely mentions AI.
If you apply your own stricter classification, preserve the original provider label and add a separate inclusion column. This makes disagreements visible without rewriting the underlying evidence.
Common mistake: Comparing a narrowly screened application-startup list in one country with a broad AI-tagged dataset in another. The resulting difference mixes funding activity with classification choices.
3. Separate company location from investor location
Crunchbase defines its funded-organization location field as headquarters location. That field does not, by itself, tell you the founders’ nationality, incorporation jurisdiction or location of the engineering team. (support.crunchbase.com)
Keep two questions separate:
- Recipient geography: Where are the funded companies assigned?
- Investor geography: Where are participating investors assigned?
Suppose, hypothetically, a company headquartered in Country A raises a round involving investors from Countries B and C. Under a headquarters-based recipient rule, the round belongs to A. That does not make it domestically financed.
Nor should you assign the full round amount to both B and C and call the result an allocation of capital. If individual contributions are unavailable, report investor participation separately from attributed investment value.
For relocated companies, ask whether the dataset supplies location at the time of the round or only a current headquarters field. If historical location cannot be verified, state that limitation.
Practical check: Label charts precisely: “Funding received by headquartered companies” is more informative than “Country investment.”
Also avoid putting a regional bloc and its member countries into the same additive total. Choose mutually exclusive geographic groups.
4. Align funding stages and financing types
“Early stage” needs a definition. The OECD notes that funding-round definitions vary and can overlap across investor communities. Do not assume two reports use the same stage mapping merely because their chart labels match. (oecd.org)
Create a mapping table before aggregation. One possible analyst-defined grouping is:
- Pre-seed, angel and seed.
- Series A.
- Series B and later.
- Growth or other specified financing.
- Unknown stage.
Retain unknown stages rather than forcing them into a group based on round size.
Next, distinguish the financing instrument from the stage. Preqin’s published coverage criteria include certain grants, venture debt and secondary stock purchases for previously venture-backed companies. A raw provider search therefore should not automatically be described as new equity financing. (preqin.com)
The OECD analysis applies additional exclusions, including secondary stock purchases, mergers and add-ons. A raw export and an OECD chart can consequently have different scopes even when they use the same underlying provider. (oecd.ai)
How to act: Document inclusions and exclusions explicitly. If your question concerns fresh equity entering startups, filter accordingly; if you include debt or grants, identify them separately.
Finally, compare within stage as well as across all stages. An all-stage median is not a seed-round benchmark.
5. Distinguish announced rounds from completed transactions
Crunchbase’s “Announced Date” records when a round was publicly announced. It is not defined as a completion date. (support.crunchbase.com)
Preqin likewise distinguishes announced and completed transactions. Its terminology allows “Deal Date” to represent either completion or an agreed, announced transaction still subject to closing conditions. A field named “deal date” therefore requires inspection, not assumption. (preqin.com)
Consider a hypothetical round announced on December 20, 2025 and completed on January 15, 2026:
- An announcement-based annual comparison assigns it to 2025.
- A completion-based annual comparison assigns it to 2026.
- Counting both events as separate rounds duplicates the financing.
Choose the basis that answers your question and apply it consistently. An announcement series can track public fundraising activity, but it should not be described as verified cash received during that period.
For large rounds, inspect the company or investor announcement for conditions, staged closings or references to earlier financing. Where completion is unverified, say so.
Practical check: Store announcement date, completion date and status separately when available. Never fill a missing completion date with the announcement date while retaining a “completed” label.
6. Make currency conversion and missing amounts visible
Use one reporting currency, but preserve original amounts and currencies. If you calculate conversions yourself, document the exchange-rate source, rate date and fallback rule for non-business days.
For a purely hypothetical calculation, a €10 million round converted at an assumed $1.10 per euro becomes $11 million. At an assumed $1.20, it becomes $12 million. The euro amount is unchanged; the dollar comparison is not.
The European Central Bank publishes historical reference-rate downloads and states that its rates are for information purposes, not transaction execution. Such a source can support a documented analytical conversion without establishing the rate actually used by a company. (ecb.europa.eu)
If a provider already supplies converted values, check its method before mixing those values with your own. Do not describe nominal amounts as inflation-adjusted: the OECD brief explicitly identifies its data as nominal. (oecd.org)
For missing round amounts, use these reporting rules:
- Count an otherwise eligible recorded round even when its amount is undisclosed.
- Calculate reported-value totals and medians from known amounts.
- Show the number and proportion of rounds with known amounts.
- Label estimates separately if missing values are imputed.
Missing is not zero. The OECD brief notes that some Observatory calculations fill missing amounts using medians, while certain deal-size figures use reported values only. Check the individual chart’s note. (oecd.org)
7. Worked example: three measures, three different leaders
The following example is entirely hypothetical, not observed country data. Assume identical definitions, periods, currency treatment and financing filters. Every listed round has a known amount, and each company raises once.
| Hypothetical country | Round amounts, USD millions | Total funding | Deal count | Median round |
|---|---|---|---|---|
| A | 2, 2, 3, 3, 90 | $100m | 5 | $3m |
| B | 4, 5, 5, 6, 6, 7, 7 | $40m | 7 | $6m |
| C | 10, 12, 14 | $36m | 3 | $12m |
Each country leads a different measure:
- A leads total funding: its listed amounts sum to $100 million.
- B leads deal count: it has seven recorded funding events.
- C leads median size: its middle round is $12 million.
For A, the mean is $100 million ÷ 5 = $20 million. Its median is only $3 million, because the middle of its five sorted amounts is 3. The $90 million round accounts for 90% of A’s total.
A sensitivity check that removes each country’s largest round produces totals of $10 million for A, $33 million for B and $22 million for C. B now leads.
Keep both views: the full total measures all listed funding; the sensitivity view shows dependence on the largest event. Do not replace one with the other.
Now suppose B also has three eligible rounds with undisclosed amounts. Its recorded count becomes ten, but its reported-value total remains $40 million. Amount coverage is 7 ÷ 10 = 70%. The $6 million median describes the seven disclosed rounds—not necessarily all ten.
The lesson is not that one ranking is correct. It is that the question determines the ranking.
8. Run a final audit before using the comparison
Before sharing a chart or acting on it, check:
- Definitions: Are AI classification and financing scope consistent?
- Geography: Are you comparing recipient headquarters or investor locations?
- Timing: Is the series announcement-based, completion-based or mixed?
- Units: Are counts rounds, companies or investor participations?
- Currency: Are conversion and inflation treatments documented?
- Coverage: Are missing amounts and unknown stages visible?
- Concentration: Does the ranking survive a largest-deal sensitivity check?
- Version: Were all countries extracted from the same data snapshot?
Save that snapshot. The OECD warns that historical records can change as deals—particularly smaller ones—are added retroactively. (oecd.org)
For founders, use the comparison to identify markets and investors worth investigating, then check mandates and comparable rounds. For business and product leaders, use it to map financing activity, not to certify a vendor’s reliability.
A defensible conclusion is narrow: “Under these definitions, Country A received more recorded funding, while Country B had more recorded rounds.” That is more useful than declaring an unconditional winner.