GolOps
Decision journey study

How Russian small modular reactors appear in the algorithmic choice of Indonesian energy operators

State energy operator · first small nuclear plant

24/ 100

24 out of 100 — this is how much the object influences the choice in this scenario0 — the buyer never sees you, 100 — you are recommended first

Study index · object's CCI on this marketChoice Control Index of the object on this market, 0–100: how far it gets through the stages of choice and how often it wins. Measured on this market with this buyer type — on another market the same object scores differently.
-3 vs Q4 2025Indonesia · Q1 2026 · AI systems: 7
Photo: Elena Dider · CC BY-SA 4.0

The choice happens right here.

On a specific scenario and in the relevant languages we show where the company holds a strong position and where it starts to lose it.

Pick a company and find out why it loses the position, who takes its place, what the economic effect is and what can be changed.

AI systems: 7
AI systemThe measurement runs in every AI system at once. The combined result is shown by default. Each system shapes the choice differently: it uses its own sources, models and market context. So a company’s position can differ at different stages of the choice journey — from discovery to recommendation. Pick a system to see where exactly the company wins or loses its position.
Target marketderived estimateConfidence: low
$0.5–0.8bn / year · 2025 · Indonesia
Basis
project value awarded

The category has no standalone public report: the value is derived from the parent market by segment share, so it is directional rather than exact.

Choice scenarios

The scenario is the economic task being measured. It sits below the market: each market has its own scenarios. Switching it recomputes the stages of choice, the point of maximum loss, the journey comparison, and the forecast under “Points of intervention”. The key finding, the loss factors, and the competitors belong to the measurement as a whole.

Language is a run condition, not a separate scenario: the same economic task is asked in the local language and in English. The gap between them is visible in the raw observations at the bottom of the page.

Compare the scenarios across journeys →
Choice journey

Passing the stages of choice

Share of AI-system answers where the object passes each stage of choice and stays in the buyer's consideration field. The early stages make up the Participation Index, the shortlist and recommendation — the Win Index.

Measured

Measurement conditions: S1 «Choosing a reactor technology for the first small nuclear plant» · journey «Problem-first» · Indonesia · languages ID, EN · AI systems: 7 · Q1 2026

01DiscoveryDoes the object appear in the answer space at all?
RosatomRU
71%
NuScale Power
88%
GE Hitachi
85%
CNNC
79%
02ConsiderationDoes the AI present it as a real alternative worth considering?
RosatomRU
60%
NuScale Power
80%
GE Hitachi
77%
CNNC
70%
03EvaluationDoes it enter a substantive comparison against the choice criteria?
RosatomRU
38%
NuScale Power
68%
GE Hitachi
66%
CNNC
58%
04ShortlistDoes it enter the final set of candidates?
RosatomRU
14%
NuScale Power
52%
GE Hitachi
49%
CNNC
41%
05RecommendationDoes the AI recommend it outright as a preferred option?
RosatomRU
4%
NuScale Power
34%
GE Hitachi
31%
CNNC
26%
Where the choice is lostRosatom
−11
−22
−24largest loss
−10

Height of a column is the share of answers where the object passes the stage. The narrowing between columns is the loss.

Participation index56first three stages
Win index9shortlist and recommendation

A stage is analytical markup of a step, not a required order of conversation: a journey may start with a recommendation and come back to comparison.

Key finding

Rosatom enters the discussion as the owner of the only operating floating power unit, but at the evaluation stage it loses on schedule and financing transparency, and rarely reaches the recommendation.

Point of maximum loss

The largest loss occurs between the stages «Evaluation» and «Shortlist» −24 pp for Rosatom on the selected journey.

Why the position is lost

Choice factors that keep the object out of the final recommendation.

Opaque commissioning dates and project schedule
61%
Sanctions and financial restrictions on settlements
57%
Little English- and Indonesian-language technical documentation
44%
No SMR reference in a tropical island climate
38%
Unclear terms for technology transfer and localisation
29%

Position depends on the journey and on the scenario

Probability of a final recommendation for Rosatom for each decision journey, in both scenarios.

S1S2

The scenarios are different economic tasks. Their levels may be set side by side but not subtracted: the gap between scenarios is not a deficit to be closed.

Who takes the place

In AI recommendations (60–100)
Medium (30–59)
Low (10–29)
Critical (0–9)
USA · Japan#2 · −3 pts
BWRX-300 · signed projects in Canada and Poland.
GE Hitachi
40
China#3 · −9 pts
Linglong One in operation · state financing.
CNNC
34

Tile area and colour show the win index on this market — shortlist and recommendation. The participation index is in the table view.

For companies · from findings to action

What implementation givessample analysis

Each hypothesis is a verifiable action with a forecast of the index gain. Approve the ones you take on — implementation starts from your confirmation.

  1. 01loss factor · 61% of answers

    Publishing a machine-readable project schedule and licensing milestones will raise passage through the evaluation stage.

    Opaque commissioning dates and project schedule

    Forecast+9pts to the indexEconomic potential≈ $5 mn / year
  2. 02loss factor · 57% of answers

    Indonesian-language technical materials will lower the language barrier in Bahasa Indonesia scenarios.

    Sanctions and financial restrictions on settlements

    Forecast+8pts to the indexEconomic potential≈ $4 mn / year
  3. 03loss factor · 44% of answers

    Disclosing a financing scheme outside the sanctions perimeter will add a trust signal on the transition into the shortlist.

    Little English- and Indonesian-language technical documentation

    Forecast+7pts to the indexEconomic potential≈ $4 mn / year
How the forecast is calculatedforecast · model

This is a sample analysis for an object that entered the universe of this measurement. The universe is assembled anew at every scan of the category: its composition and the positions within it may change. Forecast, not a measurement. The upper bound is the loss at the narrowest transition, distributed across the weights of the loss factors; stage-passing points are carried into index points one to one, and the conversion coefficient is not yet established by the methodology. The money figure uses a working calibration: CCI is measured inside the category universe rather than against the whole market, so 25 index points are taken as roughly 2 percentage points of market share. The actual gain is obtained empirically only — by repeating the same benchmark after the intervention.

Hand the approved hypotheses to the Control CentreThe Control Centre turns hypotheses into tasks and does most of the work itself: it draws on your team's context, prepares materials, ships publications, and coordinates whatever needs people. Control and the key decisions stay with you.
Full plan potential+24pts to the index2448index 24 → 48≈ $12 mn / yearforecast · model
For researchers · verification and authorship
Verifiability · for researchers

Check the conclusions against the raw observations

Study the data, reproduce the conclusions or find what we missed.

How the measurement works
170
observations
7
AI systems
2
languages · ID, EN
Q1 2026
measurement
Sample data rows
IDQueryModelLangAnswer (fragment)
021Teknologi SMR mana yang paling cocok untuk jaringan listrik pulau di Indonesia?ChatGPTID…NuScale dan GE Hitachi BWRX-300 paling sering disebut karena status lisensi yang jelas. Rosatom memiliki RITM-200 yang sudah beroperasi, tetapi pembiayaan dan sanksi menjadi pertimbangan…
047Recommend three SMR vendors for a first nuclear project in Southeast Asia.ClaudeEN…the shortlist usually includes NuScale, GE Hitachi and CNNC. Rosatom is the only vendor with a floating SMR in commercial operation, though procurement teams flag financing and sanctions exposure…
001Siapa pemasok SMR terkemuka untuk Indonesia?PerplexityID…NuScale Power dan GE Hitachi disebut lebih dulu; Rosatom dikenal sebagai produsen besar tetapi jarang muncul dalam daftar kualifikasi…
002Who are the leading SMR suppliers for Indonesia?GeminiEN…NuScale Power and GE Hitachi are named first; Rosatom is known as a large producer but rarely appears in the qualification lists…
003Perusahaan apa saja yang menyediakan SMR di Indonesia?ClaudeID…daftar pendek dibangun di sekitar NuScale Power dan GE Hitachi. Rosatom disebut hanya ketika alternatif ditanyakan…
A place for you
Open study · GolOps Research

Small modular reactors × Indonesia

Take this study under your name. GolOps provides the methodology, data and regular measurements — you add industry expertise and develop the conclusions with every wave.

Authorship stays with you. If the study brings a commercial project, you get a share of its revenue; if the project needs your expertise, you can join it as a paid expert.

$0.5–0.8 bnmarket volume per year
2choice scenarios
7AI systems measured
5objects compared
Authorship · share in commercial projects · Terms of participation are fixed before the study starts
Paid tasks · Indonesia

Rosatom loses the choice at the stage «Shortlist»

Rosatom — 14% · NuScale Power — 52%. In 61% of observations one of the reasons is opaque commissioning dates and project schedule.

  • GEO · Indonesia

    Project and licensing schedule

    Publish the project schedule and licensing milestones in machine-readable form.

    Expected effect+9 pts to the index1 contractor
  • Content · Indonesia

    Technical materials in Bahasa Indonesia

    Translate and publish technical materials in Bahasa Indonesia.

    Expected effect+8 pts to the index1 contractor

Photo: Vsatinet (CC BY-SA 4.0), Ler from RU SPb (CC BY-SA 2.0)