Asymmetric Visibility
APAC organisations are being discovered, described, and ranked by AI systems before their own public signal catches up. The Pulse names the gap.
Press Kit
The AIR APAC AI Readiness Pulse, Q2 2026.
Headline statistics and quotable findings from the first Pulse under the APAC 5000 architecture. All figures are sourced from the AIR APAC public dataset and are free to cite with attribution.
1,000published organisations
23APAC markets
6sectors
56.7mean RPS / 100
100Pacesetters
Source: AIR APAC AI Readiness Pulse, Q2 2026. RPS (Raw Public Signal) is a 0 to 100 public-signal visibility score, not verified readiness. Read the methodology.
Quotable findings
What the data shows.
The Pacesetter concentration
100 of 1,000 organisations (10 percent) reach the Pacesetter tier. Readiness signal is not evenly distributed across the region.
The Emerging majority
600 organisations (60 percent) sit in the Emerging tier, the widest visibility gap and the largest movement opportunity.
Tier composition
Distribution across the three tiers.
| Tier | Organisations | Share |
|---|---|---|
| Pacesetter | 100 | 10% |
| Momentum | 300 | 30% |
| Emerging | 600 | 60% |
Boilerplate
Approved descriptions.
Use these verbatim. Do not abbreviate in ways that change the meaning.
One line
AIR APAC is an independent, vendor-neutral center measuring AI readiness across people, process, and data in Asia Pacific.
Short (50 words)
AIR APAC is a mission-led, vendor-neutral center helping organisations across Asia Pacific prepare for AI that actually works. It publishes the AI Readiness Pulse and runs the readiness system behind the Scorecard and the Preparedness Audit.
Full boilerplate
AIR APAC (Center for AI Readiness in Asia Pacific) is an independent, vendor-neutral center that measures the people, process, and data conditions that determine whether AI adoption works in practice. Its research includes the AI Readiness Pulse, a quarterly outside-in benchmark of APAC organisations, and the Six Dimensions readiness model behind the Scorecard. AIR APAC does not sell software and does not accept technology-vendor funding. Readiness guidance never depends on buying any product.
Mission-led and public-interest in orientation. AIR APAC does not claim formal non-profit, charity, NGO, foundation, or tax-exempt status unless separately confirmed in writing.
Approved statistics
Headline numbers from the Q2 2026 Pulse.
| Statistic | Value |
|---|---|
| Distinct entities (Q2 2026 Pulse) | 1,000 |
| Mean RPS / 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 |
Cite as: AIR APAC AI Readiness Pulse, Q2 2026. RPS (Raw Public Signal) is a 0 to 100 public-signal visibility score. Pacesetter is the top 10% by RPS. Market labels reflect the APAC operating anchor used for scoring, not necessarily global headquarters or parent domicile.
Logo and assets
Download the marks.
Use the full lockup wherever possible. Maintain clear space and do not recolour the mark. A packaged logo zip is available to press on request.
What AIR APAC is, and is not
Legal and positioning guardrails.
AIR APAC is
Independent. Vendor-neutral. Mission-led. Public-interest in orientation. Evidence-led. APAC-first.
AIR APAC is not
A software vendor. A paid-placement body. A subsidiary or reseller of any technology company. Do not describe AIR APAC as a registered non-profit, charity, NGO, foundation, or tax-exempt body unless that status is confirmed in writing.
For methodology, see the methodology page. For data, see the CSV download or the Q1 findings report (PDF).
How to cite
Attribution and contact.
Suggested attribution
Source: AIR APAC AI Readiness Pulse, Q2 2026. Center for AI Readiness in Asia Pacific (AIR APAC). airapac.org/research
Press contact
Media and press enquiries:
AIR APAC is an independent, vendor-neutral center. The Pulse accepts no technology-vendor funding. Scoring is deterministic and identity-filtered: search results are matched to the named organisation before scoring. Published records carry evidence confidence grades (A, B, C, or D); 92 percent are A or B.