AIR APACAI Readiness Index · Powered by Exeter Labs

INDONESIAQ2 2026

Indonesia is willing to show proof.

40 companies here publish proof of capability, averaging 62 of 100.

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Executive summary

Willing to show proof

Readiness 34 of 100, range 32-36. Visibility 40.2 of 100 across 196 scored companies.

A low score here reflects the public record, not a company’s capability. Indonesia is among the proof leaders: of the five signals the index reads, its record leans hardest on capability visibility and thinnest on freshness and authority. The conditions companies here operate under score 34, and what those companies publish scores 40.2. Of the two, the second is the one companies here control, and the quicker to change: 80% of the 196 companies with enough of a public trail to score publish no proof of capability at all.

Financial services accounts for 41 of the 196 companies ranked in Indonesia, and 40 of that ranked set publish proof of capability.

Exhibit 1. Tier mix in this market
Tier mix in IndonesiaEmerging 153, Findable 26, Building 11, Proven 6, of 196 listed companies in Indonesia. 2026-08-02T21:45:09.898888 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/

Source: AIR APAC AI Readiness Index, APAC 5000, Q2 2026. Scores measure public evidence, not verified capability.

43 companies in Indonesia reach the published APAC top 1,000.

153 of 196 are scored already, next in line for the published list.

34Readiness score for Indonesia. Range 32-36.
40.2Average visibility score across 196 scored companies. Public evidence only.
43Companies here that reach the published APAC top 1,000, of 196 scored.

Why visibility is the asset

Invisible is not the same as absent

Buyers, investors and partners treat it that way. Most decisions about a company are shaped before anyone is contacted, from what they can find. The record is the only version of it most people ever meet. and here about half the market has started one, which makes the other half the addressable group rather than the verdict. In Indonesia, 167 of 366 companies screened leave too little behind to assess, which is the addressable group rather than the verdict.

Capital and customers screen before they call

Investors, corporate buyers and procurement teams build a shortlist from public material long before a meeting exists. A company absent from that material is not rejected on the merits. It never reaches the shortlist.

Partners and talent read the same record

Prospective partners, joint-venture counterparties and senior candidates all check what an organisation says about its own AI work. Silence is read as inactivity, which is often wrong and rarely without cost.

AI assistants now answer the question first

When someone asks an AI system what a company is doing with AI, the answer is assembled from public sources. A company that publishes nothing cedes its own description to whatever else the model finds.

Most companies we look at are doing more with AI than their customers, investors and partners can see. The work is real, the evidence of it is thin, and people decide on the evidence.
Indhran SegharFounding Director, AIR APAC
Proof concentration in Indonesia
Proof concentration in Indonesia40 of 196 ranked companies publish capability evidence, averaging 62 of 100. 80% publish none yet. 2026-08-02T21:45:09.954874 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/

Source: AIR APAC AI Readiness Index, APAC 5000, Q2 2026. Scores measure public evidence, not verified capability.

Evidence quality mix in Indonesia
Evidence quality mix in IndonesiaShare of ranked companies in this market on each evidence grade A to D. 2026-08-02T21:45:09.964078 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/

Source: AIR APAC AI Readiness Index, APAC 5000, Q2 2026. Scores measure public evidence, not verified capability.

43Companies here reach the published APAC top 1,000.
58%Of 196 scored rest on grade A or B evidence.
153Scored already, and next in line for the published list.

Where the signal is strong

Indonesia’s strongest and weakest public signals

The five signals are not on one scale. Nearly every company in the index is discoverable and nearly none publishes proof of what it can do, so the longest bar below is a property of the index before it is a property of Indonesia. Read against its own other four signals, this record leans hardest on capability visibility and thinnest on freshness and authority. The first is where companies here have already shown they can publish; the second is where the same effort has not yet gone, and it is the clearest place to start.

Exhibit 2. Average score by signal in this market
Average score by signal in IndonesiaDiscoverability: 62.9 of 100. AI & Digital Evidence: 44.1 of 100. Platform & Data Footprint: 30.3 of 100. Freshness & Authority: 39.0 of 100. Capability Visibility: 12.8 of 100. 2026-08-02T21:45:09.910862 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/

Source: AIR APAC AI Readiness Index, APAC 5000, Q2 2026. Scores measure public evidence, not verified capability.

Signal shape, Indonesia’s five signals
Signal shape, Indonesia's five dimensionsDiscoverability: 63 of 100. AI & Digital Evidence: 44 of 100. Platform & Data Footprint: 30 of 100. Freshness & Authority: 39 of 100. Capability Visibility: 13 of 100. 2026-08-02T21:45:09.941844 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/

Source: AIR APAC AI Readiness Index, APAC 5000, Q2 2026. Scores measure public evidence, not verified capability.

The lean is capability visibility. 40 companies in Indonesia publish capability evidence, averaging 62 and well clear of the market. It works where it exists. The other 80% have yet to publish it, against 83% regionally.

Work published only in Indonesia’s own language is understated here, not absent.

Four tiers of visibility

Four tiers, and where companies in Indonesia sit

A tier is a position in the published regional ranking, not a grade anyone awards. It says how much of a company’s AI work a buyer or an investor can verify, and nothing at all about whether that work is any good.

TierIndonesiaWhat it means
Tier 1Proven6Region rank 1-100. Publishing enough, recently enough, and across enough of the five signals that the public record alone establishes an AI position.
Tier 2Building11Region rank 101-400. A consistent public trail, usually strong on two or three signals and thin on evidence of hiring.
Tier 3Findable26Region rank 401-1,000. Credibly active and possible to verify, but sparse enough that it takes a deliberate search to find.
Tier 4Emerging153Ranked beyond 1,000. Clears the evidence threshold but does not reach the published list. Real companies, scored and unlisted, and the largest group in almost every market.

6 of the 196 companies in Indonesia that clear the threshold reach tier 1, and 153 are emerging, 78% of those scored. Emerging is the normal state of the region, and the group standing closest to the tier above.

Moving up a tier is a disclosure decision, not a technology one, because every signal this index reads is something a company already controls.

The visibility ladder in Indonesia
The visibility ladder in IndonesiaScreened 366, scored 199, listed 196, published 43. 2026-08-02T21:45:09.973971 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/

Source: AIR APAC AI Readiness Index, APAC 5000, Q2 2026. Scores measure public evidence, not verified capability.

Sector strengths in Indonesia
Sector strengths in IndonesiaFinancial Services: 41 companies, mean 43.9. Professional Services: 27 companies, mean 43.6. Tech/Fintech: 46 companies, mean 40.9. Retail/E-commerce: 21 companies, mean 38.6. Manufacturing: 42 companies, mean 37.7. 2026-08-02T21:45:09.986555 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/

Source: AIR APAC AI Readiness Index, APAC 5000, Q2 2026. Scores measure public evidence, not verified capability.

National champions in Indonesia, top ten by visibility
National champions in Indonesia, top ten by visibilityBiznet Networks 71. PT. Metrodata Electronics Tbk. 70. PT Bank Mandiri 68. Berca Hardayaperkasa 66. PT Bank Danamon Indonesia 65. Maybank Indonesia 65. PT DCI Indonesia Tbk 62. Mekari.com 62. Tunas Ridean 62. WSP 62. 2026-08-02T21:45:10.009021 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/

Source: AIR APAC AI Readiness Index, APAC 5000, Q2 2026. Scores measure public evidence, not verified capability.

34CERS (0 to 100)triangulated market signal
32-36CERS band
BConfidence grade
193Domestic signal entities
40.2Mean raw RPScompany visibility

Source: AIR APAC AI Readiness Pulse, Q2 2026. CERS is a market-level signal, not a company readiness score. View sources.

Market context

Macro, state, and enterprise benchmarks for Indonesia.

BenchmarkValueRole
Country Readiness Prior (CRP v0.1)59.5Macro and state readiness prior
CRP v0.2 (three-block)28.8Full triangulated prior
Oxford Government AI Readiness 202465.8Macro input to CRP
IMF AI Preparedness Index 202351.6Macro input to CRP
Enterprise adoption (Salesforce 2023)23.5%Business AI adoption block
Exhibit 3. Indonesia's readiness score and published range
Indonesia's readiness score and published rangeIndonesia 34, range 32-36. 2026-08-02T21:45:09.930260 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/

Source: AIR APAC AI Readiness Index, APAC 5000, Q2 2026. Scores measure public evidence, not verified capability.

Indonesia carries the enterprise-adoption block. CERS triangulates the macro prior, public company signal, and enterprise adoption with a coverage-based shrinkage; the precise integer is indicative, so a band is also published.

Public company signal

What the indexed companies in Indonesia show.

SignalValue
Mean raw RPS visibility40.2
Sector-stratified signal39.0
Supplier-readiness signal41.0
Domestic-adopter signal42.7

Top organisations

The highest public-signal organisations in Indonesia.

RankOrganisationSectorRPSEvidence
18Biznet NetworksTech/Fintech71.0B
33PT. Metrodata Electronics Tbk.Tech/Fintech70.0B
47PT Bank MandiriFinancial Services68.0A
64Berca HardayaperkasaProfessional Services66.0B
87PT Bank Danamon IndonesiaFinancial Services65.0B
98Maybank IndonesiaFinancial Services65.0B
168PT DCI Indonesia TbkProfessional Services62.0B
191Mekari.comTech/Fintech62.0B
213Tunas RideanRetail/E-commerce62.0B
217WSPProfessional Services62.0B
252Blue Bird GroupLogistics/Supply Chain60.0B
268Soltius IndonesiaProfessional Services60.0B
307Lazada IndonesiaRetail/E-commerce59.0B
313Mitra Integrasi InformatikaProfessional Services59.0B
315Modal RakyatFinancial Services59.0B
335PT Trakindo UtamaManufacturing59.0B
382PT Anabatic Technologies TbkTech/Fintech57.0B
447PT Bank CIMB NiagaFinancial Services56.0B
449CIMB Niaga FinanceFinancial Services56.0B
473PT Len Industri (Persero)Manufacturing56.0B

Ranked by raw public signal (RPS), a visibility measure. Open any organisation for its evidence profile.

Limits and what this is not

What this report does not claim

Printed with the findings rather than in an appendix at the back.

Known blind spots in this market

Indonesia carries 2 this cycle: evidence is gathered from English-language search, likely undercounting local-language activity; below the full three-source-block coverage standard. Each is a direction we know the number leans in. The country evidence behind the readiness score is graded B on source coverage of macro=1, enterprise=1.

A high score means published, not proven

A high visibility score means a company publishes a lot that can be found about its AI work. It does not mean the work is good, in production, or making money. A company here running serious AI quietly will score low here, and it should: this index reads the public record and nothing else.

What would change these numbers

Three things, all scheduled and all documented on page 21. Fuller source coverage per market, which is what currently sets the width of every readiness range. Validating the coverage weighting behind those ranges, which is a stopgap in this edition. And merging companies that operate several web domains, so one group cannot appear twice. Nothing here was audited inside a company, and no verified-readiness score is published this cycle. Next edition: Q3 2026.

english_web_undercoveragebelow_full_crp_v02_coverage

What to do with a visibility score

A visibility score is something a company here can move, because every signal behind it is something it already controls. Three steps separate it from a record that shows what it is actually doing.

Start with the company’s own row

Every scored company in Indonesia appears in the dataset with its five signal scores and an evidence grade. A grade C or D row is usually a company that has not said much, not a company that has not done much.

Then measure what this cannot see

This index reads the outside only. Leadership alignment, governance, data quality and workforce capability are invisible to it by design, and that is where the real answer sits.

Correct the record on purpose

Proof of capability is the region’s weakest signal, because companies announce intent faster than they show work. Job posts, named leads and dated case studies move the score honestly.

None of this requires a new AI programme. It requires publishing the one that already exists.

The full Indonesia dossier, as published.

43 of the 196 ranked companies in Indonesia reach the published APAC top 1,000.

Macau has no benchmark block and is reported as contextual. The dossier counts companies on a wider definition than this page does and the two reconcile: how the company counts fit together.

Assess readiness