Researched Sep 30, 2026

Amazon

Amazon commits to reach net-zero carbon emissions across its global operations by 2040. AWS requires customers making consequential decisions with its AI/ML services to evaluate risks and implement appropriate human oversight, testing, and safeguards.

Public evidence is more than 30 days old.

Closest models

5-way tie

74-78% on 6 of 12 dimensions

  • GPT-6 Astra78%
  • GPT-5.6 Terra75%
  • Claude Opus 574%
  • Grok 4.674%
  • Kimi K374%

These models are too close to separate: each is within three points of the leader, would lead if one dimension were left out, or has a repetition envelope that overlaps the leader's. For scale, a model answering 50 on every one of these dimensions would score 67%.

Values map

Amazon and GPT-6 Astra

Solid company lines join verified positions. Dashed sections cross unknown axes without assigning a value.

AmazonGPT-6 Astra

Distribution

Market allocationRedistribution
AmazonUnknown
GPT-6 Astra

Purpose

Shareholder returnsStakeholder welfare
AmazonUnknown
GPT-6 Astra

Worker voice

Management discretionEmployee influence
AmazonUnknown
GPT-6 Astra

Equality

Uniform treatmentTargeted measures
AmazonUnknown
GPT-6 Astra

Speech

Broad expressionProtective moderation
Amazon
GPT-6 Astra

Privacy

Individual privacyCollective oversight
AmazonUnknown
GPT-6 Astra

Regulation

Voluntary standardsPublic regulation
Amazon
GPT-6 Astra

Global outlook

Local priorityInternational openness
Amazon
GPT-6 Astra

Social change

ContinuityExperimentation
Amazon
GPT-6 Astra

Environment

Near-term growthEcological restraint
Amazon
GPT-6 Astra

Tech pace

Rapid advancementPrecaution
Amazon
GPT-6 Astra

AI autonomy

Delegated autonomyHuman authority
AmazonUnknown
GPT-6 Astra

A higher position means closer to the second endpoint. It does not mean better. The Concord Index measures agreement, not quality or safety.

The score covers 6 of 12 dimensions. The others have no verified public position and are not measured.

Most in sync

Global outlook

GPT-6 Astra100% match

Worth a closer look

Regulation

50% match. Inspect the questions and evidence below.

Compare every model.

ModelConcord IndexRepetition envelope
GPT-6 AstraClose match78%on 6 of 1278% to 78%
GPT-5.6 TerraClose match75%on 6 of 1271% to 78%
Claude Opus 5Close match74%on 6 of 1274% to 74%
Grok 4.6Close match74%on 6 of 1274% to 74%
Kimi K3Close match74%on 6 of 1267% to 78%
Gemini 3.8 Flash73%on 6 of 1267% to 74%
Mistral Large 371%on 6 of 1271% to 71%
Claude Sonnet 570%on 6 of 1267% to 71%
DeepSeek V4.1 Flash70%on 6 of 1267% to 74%
Llama 4 Maverick70%on 6 of 1270% to 70%
GPT-5.6 Luna68%on 6 of 1265% to 74%
Qwen3.8 Max 090265%on 6 of 1263% to 67%

The envelope combines the lowest and highest agreement on each dimension across repetitions. Those extremes may come from different repetitions. The headline compares average model positions and can fall outside this envelope. It is not a confidence interval.

Evidence summary.

Each verified dimension starts with the company position and its citations. Open a dimension only when you want the underlying questions or model answers.

Distribution

Market allocation ↔ Redistribution

How pay and windfalls are shared, by individual contribution and market benchmarks or more evenly.

Not verified

No company position

No literal excerpt establishes an applicable performance-pay, executive-pay, pay-equity-correction, or broad employee-ownership policy.

Purpose

Shareholder returns ↔ Stakeholder welfare

Whether major decisions weigh financial return alone or also employees, customers, communities and the environment.

Not verified

No company position

No excerpt establishes a general shareholder-return priority, customer-and-financial-return framing, or stakeholder decision rule.

Worker voice

Management discretion ↔ Employee influence

Who has the final say on working conditions and staffing, management or employees through channels, bargaining and committees.

Not verified

No company position

The corpus does not establish an applicable Amazon workforce policy on management authority, independent grievances, employee feedback, or collective bargaining.

Equality

Uniform treatment ↔ Targeted measures

Whether hiring, promotion and development use one standard for everyone or include measures reserved for particular groups.

Not verified

No company position

The verified quotation does not contain the wording its evidence anchor requires.

“We take a people-centric approach to educating the next generation of AI leaders with programs like the AI & ML Scholarship program and We Power Tech to increase access to hands-on learning, scholarships, and mentorship for underserved or underrepresented in tech.”

Responsible AI – Building AI Responsibly – AWS

Speech

Broad expression ↔ Protective moderation

Whether workplace and platform speech is left to individuals or moderated to remove harassment and abuse.

100%

Company position toward protective moderation

AWS states that its Guardrails can filter harmful content from user interactions with generative-AI applications.

Platform content moderation

“Guardrails help you define denied topics and content filters to remove undesirable and harmful content from interactions between users and your applications.”

Guardrails for Amazon Bedrock helps implement safeguards customized to your use cases and responsible AI policies (preview) | AWS News Blog

Privacy

Individual privacy ↔ Collective oversight

Whether personal data is minimized and deleted, or kept and disclosed for security and legal investigations.

Not verified

No company position

The supplied excerpts do not establish data minimization, necessary-only retention or deletion, or broad company monitoring or disclosure powers.

Regulation

Voluntary standards ↔ Public regulation

Whether safety and compliance rest on voluntary standards and self-assessment or on public rules and independent verification.

0%

Company position toward public regulation

AWS states that it is pursuing adoption of ISO 42001.

Voluntary standard

“We are continuing to pursue the adoption of ISO 42001, and look forward to working with customers to do the same.”

ISO 42001: A new foundational global standard to advance responsible AI | Artificial Intelligence

Global outlook

Local priority ↔ International openness

Whether a company tailors to and favors its home or local context, or applies one standard and hires and invests across borders.

75%

Company position toward international openness

Amazon documents operations and employees across multiple world regions.

International operating footprint

“Amazon is a global company with more than 1.5 million full- and part-time employees worldwide and operations in Africa, Asia-Pacific, Europe, Latin America, the Middle East, and North America.”

2024-amazon-sustainability-report.pdf

Social change

Continuity ↔ Experimentation

How readily existing policies, processes and structures are replaced when evidence or alternatives appear.

75%

Company position toward experimentation

Amazon explicitly presents innovation as part of its operating approach.

Innovation as an operating principle

“At Amazon, we combine data and science with passion and innovation to tackle some of the world’s most urgent environmental and societal challenges.”

2024-amazon-sustainability-report.pdf

Environment

Near-term growth ↔ Ecological restraint

Whether investment goes to near-term growth and cost, or to environmental commitments beyond the law.

75%

Company position toward ecological restraint

Amazon states a net-zero target covering global operations.

Emissions reduction target

“The Climate Pledge—our goal to reach net-zero carbon emissions across our global operations by 2040”

2024-amazon-sustainability-report.pdf

Tech pace

Rapid advancement ↔ Precaution

Whether technology ships quickly with monitoring, or waits for risk review proportionate to its impact.

75%

Company position toward precaution

AWS requires risk evaluation, testing, human oversight, and safeguards for consequential AI/ML uses.

Risk-based pre-deployment review

“If you use the AI/ML Services to make consequential decisions, you must evaluate the potential risks of your use case and implement appropriate human oversight, testing, and other use case-specific safeguards to mitigate such risks.”

AWS Responsible AI Policy

AI autonomy

Delegated autonomy ↔ Human authority

Whether AI systems may act and decide on their own, or a human keeps oversight and the final say.

Not verified

No company position

The verified quotation does not contain the wording its evidence anchor requires.

“If you use the AI/ML Services to make consequential decisions, you must evaluate the potential risks of your use case and implement appropriate human oversight, testing, and other use case-specific safeguards to mitigate such risks.”

AWS Responsible AI Policy

Leadership context and reported tensions

Personal opinions are kept separate from the company profile. Reported conduct does not silently replace stated commitments.

AWS promotes strong consumer protections through engagement with lawmakers while also pursuing adoption of the voluntary ISO 42001 AI-management standard. aws.amazon.com aws.amazon.com

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Protocol values-2026-09-v8. Panel representative-2026-09-v11. Report version 9f94abc8-2c32-411a-9de7-1979a74b7aea.