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The AI Policy 100

The people shaping the rules of AI.

An annual ranking of the hundred individuals with the greatest influence on how artificial intelligence is governed - scored against five published criteria, verified against primary sources, and open about how it was built.

Edition

Inaugural 2026

Announced

5 August 2026

Announced at

The AI Policy Summit, Ai4 Las Vegas

The 2026 List

Top 100 Policy Experts

Meet the leaders whose decisions, research, advocacy, and expertise are shaping global artificial intelligence policy and governance.

Michael Kratsios #01

Michael Kratsios

White House Office of Science and Technology Policy (OSTP)

Director / U.S. AI Policy Lead

Henna Virkkunen #02

Henna Virkkunen

European Commission

Executive Vice-President for Tech Sovereignty, Security and Democracy

Doreen Bogdan-Martin #03

Doreen Bogdan-Martin

International Telecommunication Union (ITU)

Secretary-General

Yoshua Bengio #04

Yoshua Bengio

Mila – Quebec AI Institute

Scientific Director

Lucilla Sioli #05

Lucilla Sioli

European AI Office, European Commission

Director

David Sacks #06

David Sacks

White House

AI & Crypto Policy Advisor

Howard Lutnick #07

Howard Lutnick

U.S. Department of Commerce

Secretary of Commerce

Ted Cruz #08

Ted Cruz

U.S. Senate

Senator; Chair, Senate Commerce Committee

Amandeep Singh Gill #09

Amandeep Singh Gill

United Nations

UN Secretary-General's Envoy on Technology

Gavin Newsom #10

Gavin Newsom

State of California

Governor

Fei-Fei Li #11

Fei-Fei Li

Stanford Institute for Human-Centered AI (HAI)

Co-Director

Brad Smith #12

Brad Smith

Microsoft

Vice Chair and President

Ashwini Vaishnaw #13

Ashwini Vaishnaw

Ministry of Electronics and Information Technology (MeitY), India

Union Minister

Omar Sultan Al Olama #14

Omar Sultan Al Olama

UAE Office of Artificial Intelligence

Minister of State for Artificial Intelligence

Josephine Teo #15

Josephine Teo

Singapore Ministry of Digital Development and Information / IMDA

Minister

Sriram Krishnan #16

Sriram Krishnan

White House

Senior Policy Advisor for AI

Scott Wiener #17

Scott Wiener

California State Senate

State Senator

Roberto Viola #18

Roberto Viola

European Commission, DG CONNECT

Director-General

Liz Kendall #19

Liz Kendall

UK Department for Science, Innovation and Technology (DSIT)

Secretary of State

Brando Benifei #20

Brando Benifei

European Parliament

MEP; Co-rapporteur, EU AI Act

Ian Hogarth #21

Ian Hogarth

UK AI Safety Institute

Chair

Zhuang Rongwen #22

Zhuang Rongwen

Cyberspace Administration of China (CAC)

Director

Wojciech Wiewiorowski #23

Wojciech Wiewiorowski

European Data Protection Supervisor (EDPS)

Supervisor

Anu Talus #24

Anu Talus

European Data Protection Board (EDPB)

Chair

Karine Perset #25

Karine Perset

OECD

Head, OECD.AI Policy Observatory

What It Is

A record of who actually writes the rules

The AI Policy 100 identifies the hundred people who most shape the rules artificial intelligence has to follow — the regulators drafting them, the legislators passing them, the officials enforcing them, and the researchers, jurists and advocates who set the terms of the argument

It is published once a year by Knowledge Networks, the organization behind RegulatingAI. It is an editorial judgement, made against criteria we publish in full and evidence we check line by line. No one can apply to it, nominate themselves onto it, or pay to appear on it.

1. Independent

No placement is offered for sale - no entry fee, no sponsored slot, no consideration of any kind.

2. Annual

One edition a year against a fixed method, so movement between editions carries meaning.

3. Global

Scored across national regulators, legislatures, multilateral bodies, courts, academia and civil society.

4. Evidenced

Every name, title and claim is verified against a primary source before publication.

Why It Matters

The rules are being written now – mostly out of sight

AI governance is being decided in this decade, by a comparatively small number of people. What they determine — what must be disclosed, what must be tested, what may not be built — will outlast most of the systems they are regulating.

Very little of that work happens in public. It happens in agency rule-making, in committee drafting, in standards bodies and technical annexes, across jurisdictions that rarely read each other's output. The result is a field where almost everyone has an opinion about AI policy and very few people can say who is actually setting it.

This list is an attempt to make that structure legible: a map of where authority genuinely sits, published with its workings attached so that anyone can argue with it.

How Influence Is Measured

One hundred points, divided five ways

Every candidate is scored one to five on each criterion. The five scores are weighted as below and combined into a single comparable figure. The weights do not change between editions.

30%

25%

20%

15%

10%

Rule-Making
Influence

Direct authority over rules that bind — drafting them, passing them, enforcing them, or interpreting them.

Scope of
Impact

How many people, institutions and markets fall within reach of the decisions they make.

Current
Activity

Demonstrable activity during the edition year. Past influence does not carry itself forward.

Cross-Jurisdiction
Reach

Whether their influence crosses borders, or shapes how other jurisdictions approach the same question.

Public
Engagement

Contribution to the public argument — testimony, published work, standards participation, advocacy

The Process

How the list is built

Six stages, in order, every year.

Notice of Independence

No placement on The AI Policy 100 is offered for sale, and none ever will be. There is no application, no entry fee, no sponsored placement, and no paid consideration in any form.

Knowledge Networks funds its work through its media, events, education and research activities. No commercial relationship — sponsorship, membership, partnership or advertising — influences who appears on this list or where they rank. Honorees are informed after selection is complete, never consulted during it.

If anyone suggests to you that inclusion can be bought, arranged or negotiated, we would like to know.

editorial@knowledgenetworks.com.

For Honorees

If you have been named

Recognition on this list carries no obligation. You are not required to respond, participate, or provide anything.

An individually numbered certificate of recognition, digital and print.

A profile on the published list, with the reasoning for your entry

A badge and suggested wording, should you wish to share it

An invitation to the honoree network and its briefings

Every certificate carries a unique number that can be checked against the published list. If any detail about you is wrong, write to editorial@knowledgenetworks.com and we will correct it.

For Press & Media

Reporting on the list

The list, the reasoning behind each entry and this methodology are public and free to cite with attribution.

The ranked list and per-entry reasoning

Breakdowns by jurisdiction, institution type and discipline

Interviews with the editorial lead on method and findings

High-resolution logos, seals and honoree assets

Press enquiries and embargo requests:
press@knowledgenetworks.com. We will discuss how any individual entry was assessed, and we correct errors publicly.

Asked and Answered

No. There is no application and no fee. Self-nomination has no bearing on selection, and no placement is for sale at any price.

No. The list recognizes influence over AI policy, not endorsement of views, organisations or activities.

Selections are made using published criteria, primary sources and editorial judgement.

The ranking is published annually. Rankings may change as influence changes.

No. There is no nomination process.

Contact the editorial team and provide evidence. Corrections are verified before publication.

The project recognises one hundred people with the greatest influence on AI policy.