AIR APAC press office
Interview requests, comment and fact checks. In our first reply we name the spokesperson for your request.
Press kit
Press desk
Who to contact, how to describe AIR APAC, and how to quote and reuse the AI Readiness Index. The latest results name 1,000 organisations across 23 markets and six sectors, screened from 5,820 candidates. They are free to read and free to reuse with credit.
For journalists
Who to contact
One working day
We reply to press enquiries within one working day.
Topics the spokesperson will discuss
- Judgment in AI-enabled work, and the Standard AIRS-J/1.
- What people must still decide when AI produces the answer.
- The AI Readiness Index: what 1,000 organisations across 23 Asia Pacific markets publish about their AI work.
- Certification under AIRS-J/1.
- The TPO collaboration on how AI assistants describe cities.
From the Standard
“AI systems now produce the answer. They do not carry the consequence of acting on it.”
The Standard for Judgment in AI-Enabled Work (AIRS-J/1), version 2.3, section 1.1.
For your article
Lines you can quote
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Organisations covered
“The Q2 2026 results name 1,000 organisations, screened from 5,820 candidates across 23 markets.”
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What the Index reads
“The Index reads what organisations publish about their AI work, and no position can be bought.”
Published results
Q2 2026 results in numbers
| Statistic | Value |
|---|---|
| Candidate organisations screened (Q2 2026) | 5,820 |
| Cleared the evidence gate | 3,359 |
| Organisations named in the results | 1,000 |
| Mean RPS (Raw Public Signal) score, out of 100 | 56.7 |
| APAC markets covered | 23 |
| Sectors covered | 6 |
| Pacesetters (top 10% by RPS) | 100 |
| Momentum tier | 300 |
| Emerging tier | 600 |
| Q1 2026 Index (foundational dataset) | 510 companies |
RPS (Raw Public Signal) is a 0 to 100 visibility score built from five public signals.
Public visibility groups
How organisations are grouped by public visibility
| Tier | Organisations | Share |
|---|---|---|
| Pacesetter | 100 | 10% |
| Momentum | 300 | 30% |
| Emerging | 600 | 60% |
Method in brief
For the Q2 2026 results, AIR APAC screened 5,820 candidate organisations across 23 markets and six sectors. 3,359 cleared the evidence gate, and the 1,000 with the strongest published evidence are named.
Each organisation receives a visibility score from 0 to 100, called the Raw Public Signal (RPS). It is built from five public signals, and the weights are published in the method. The score measures what can be found in public, not how well the AI work is done.
Evidence was collected in English only. Organisations that publish mainly in other languages are likely understated, most of all in Japan and South Korea. See what the Index cannot tell you.
How the list is ordered
- The published list is in score order. Organisations with the same score are listed alphabetically by web domain.
- When we tested other reasonable weights, 76 to 84 of the top 100 organisations stayed in the top 100. Small differences in position mean little.
- No position can be bought. The order reflects what can be found in public about an organisation's AI work, not how good that work is.
How to cite
Quoting the Index and a market
One citation for all Index figures
Source: AIR APAC AI Readiness Index, Q2 2026, airapac.org.
Quoting a market
Each of the 23 markets has its own page under Research. Quote a market's figures as they appear on its page, with the source line above. Please do not compare markets with each other. We sourced each market to a different depth, so market figures are not comparable.
Downloads
Charts, data and logos
You may reuse the charts and the data with this credit: Source: AIR APAC AI Readiness Index, Q2 2026, airapac.org.
Q2 2026 dataset
The 1,000 named organisations, one row each.
Q2 2026 market charts
The nine charts shown on the market pages, as SVG files.
AIR APAC logo
The colour lockup is for white or light backgrounds, the white lockup for dark backgrounds. Do not recolour the mark.
Use the logo only to refer to AIR APAC. It does not show endorsement.
For methodology, see the methodology page. For data, see the CSV download or the Q1 findings report (PDF).
About AIR APAC
Descriptions for publication
Approved descriptions of AIR APAC, ready to copy into your article.
In brief
AIR APAC is an independent body based in Singapore. It does three things. It publishes research on what organisations in Asia Pacific make public about their AI work. It sets a public Standard for judgment in AI-enabled work. It offers training to managers and teams through AIR Academy, its learning division.
AIR APAC Pte. Ltd. is a social enterprise company registered in Singapore (UEN 202600913G). It has received no grant, donation or sponsorship, and no organisation pays to be included in the Index.
What AIR APAC does
AIR APAC publishes the AI Readiness Index, a reading of what organisations in Asia Pacific publish about their AI work. AIR Academy is its learning division, which offers training to teams and leaders. AIR APAC does not sell services to organisations it is currently measuring.
Next edition: APAC 5000, published once a year. We will announce the publication date on this page.
The research method and results are public. Results are free to read, with no form or email address required.
Assessment and certification
AIR APAC publishes the Standard for Judgment in AI-Enabled Work (AIRS-J/1), the rules for assessing decisions made with AI. Certification is open and is earned through a separate assessment, not through training. It holds for two years, and the register of certified people is public. Assessments run on StepSim, an AIR APAC initiative built and operated by Exeter Labs. The owner of AIR APAC also owns Exeter Labs.
Research, training and assessment have different roles
- AIR APAC publishes research and assessment rules and provides training and advice.
- No position in the Index can be bought.
- Training does not award certification.