Recently scored: Dentsu, Omnicom, Publicis Groupe, WPP
OpenAI·SaaS / Digital Services·San Francisco, US·Founded 2015·Last verified 25 April 2026
25
out of 100
Significant gapsPending Review

OpenAI operates a massive, rapidly expanding compute infrastructure with zero disclosed emissions data and no verified sustainability governance. The company dismisses water concerns publicly, relies on unverified renewable claims through Microsoft's intermediation, and is aggressively lobbying for faster energy permitting that includes natural gas infrastructure.

The calculation

Every score shows its working.

Same formula for every company. No curve. No private weighting.

SINK = (0.3 × Base + 0.7 × Performance) × Scale
Industry base impact
SaaS / Digital Services sector ceiling.
70 / 100
Performance score
Sum of the 10 rubric questions, scored 0–10 each.
8 / 100
Raw score
Weighted average before scale penalty.
(0.3 × 70) + (0.7 × 8) = 26.6
Scale penalty
Multiplier based on absolute emissions volume — physics-first.
× 0.95
Final score
Rounded. Significant gaps.
25 / 100
The ten questions

Where OpenAI is strong, and where it isn't.

Strongest on Controversies & Red Flags and Energy Source (3/10, 2/10). Weakest on Transparency & Accountability and Water Impact (0/10, 0/10).

Where the evidence comes from

Every document used, listed.

14 sources used in this assessment. All publicly available. Each row shows which rubric questions it informed.

[1]Third-party verified
The Sustainable Innovation — OpenAI
2025
Q1Q2Q3Q4Q6Q7Q8Q9
View →
[2]Third-party verified
How much carbon does AI actually use, and why is it so hard to find out?
Unknown
Q1Q9
View →
[3]Third-party verified
arXiv — Computing Power and the Governance of AI
2025
Q2
View →
[4]Third-party verified
Green Sustainable AI — Red Canary Collective
Unknown
Q3
View →
[5]Third-party verified
Energy Demands for OpenAI Stargate Project
Unknown
Q4
View →
[6]Public record
OpenAI Powers Data Center with Hydropower
Unknown
Q4
View →
[7]Third-party verified
Cornell: Roadmap Shows Environmental Impact of AI Data Center Boom
2025
Q5
View →
[8]Public record
CNBC — OpenAI Altman Defends AI Resource Usage, Water Concerns 'Fake'
2026
Q7Q10
View →
[9]Third-party verified
arXiv — Energy and Policy Considerations for Deep Learning in NLP
2023
Q7
View →
[10]Third-party verified
Cnaught — OpenAI 2024-2025 Valuation, Products, Organization Review
2026
Q9
View →
[11]Third-party verified
Global Witness — Greenwashing and Bothsidesism in AI Chatbot Answers
2025
Q10
View →
[12]Third-party verified
Resilience — Big Tech Accused of AI Greenwashing
2026
Q10
View →
[13]Public record
MIT Technology Review — OpenAI Ups Lobbying Efforts Nearly Seven-Fold
2025
Q10
View →
[14]Third-party verified
Greenpeace — AI Energy Environment Democracy
Unknown
Q10
View →

If you believe a source has been misread or a newer version exists, submit a challenge.

OpenAI in context

OpenAI sits at the bottom of the saas / digital services pack.

Among the 38 major saas / digital services brands we've scored, OpenAI sits 38th of 38.

38/38
OpenAI's rank
47
Industry average
25
Industry low
73
Industry high
How this score has moved

OpenAI's score over time.

today

Score history begins 6 April 2026.

As OpenAI's score updates, the trajectory will appear here.

We're backfilling historical scores for FTSE 100 and S&P 100 companies over the coming weeks.

What's being contested

This score is not currently being contested.

Every challenge is published. We'd rather be corrected than wrong — that's the whole point.

No challenges submitted yet. If you have evidence that contradicts this score, you can challenge any question above — cite a public source and we'll review it.

About OpenAI

OpenAI develops large language models and AI services, including ChatGPT. Founded as a non-profit research lab, it has transitioned to a capped-profit and then for-profit structure. The company leads the generative AI sector but operates with minimal public environmental disclosure and faces mounting scrutiny over energy and water consumption tied to model training and inference.

Founded
2015
Headquarters
San Francisco, US
Employees
~4,500–7,200
Annual revenue
~$10B (annualized 2025)
Company website ↗
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