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Top 10 People

1. Sam Altman 0.0

2. Dario Amodei 0.0

3. Demis Hassabis 0.0

4. Emad Mostaque 0.0

5. Andrej Karpathy 0.0

6. Yann LeCun 0.0

7. Fei-Fei Li 0.0

8. Ilya Sutskever 0.0

9. Elon Musk 0.0

10. Tara Chklovski 0.0

1. Sam Altman -

Co-founder and CEO of OpenAI. Central figure in the release of GPT-4, GPT-4.1, ChatGPT Team, and Enterprise. Active on X and in shaping the global AGI conversation.

2. Dario Amodei -

CEO of Anthropic and co-creator of Claude 3.5. Known for championing “constitutional AI” and safety-first LLM development.

3. Demis Hassabis -

Head of DeepMind. Leads development of Gemini and long-term AI science initiatives. One of the few leaders who bridges research and commercial success.

4. Emad Mostaque -

Founder of Stability AI. Made open-source generative AI (like Stable Diffusion) globally accessible. A vocal advocate for open models and community-driven development.

5. Andrej Karpathy -

Former AI lead at OpenAI and Tesla. Now one of the most-followed AI voices on YouTube and X, known for breaking down complex topics into plain language.

6. Yann LeCun -

Chief AI Scientist at Meta. Pioneer of deep learning. Advocates for open research and alternative model paradigms beyond LLMs.

7. Fei-Fei Li -

Stanford professor and expert in computer vision and human-centered AI. Frequently addresses ethics, inclusion, and equity in AI development.

8. Ilya Sutskever -

Co-founder and former Chief Scientist at OpenAI. Although less publicly active recently, he remains a respected icon in AI research circles.

9. Elon Musk -

Founder of xAI and backer of the Grok model. Though less hands-on technically, his influence over the public, regulatory, and cultural discourse on AI is profound.

10. Tara Chklovski -

Founder of Technovation. A global advocate for AI education for girls and teens, making AI accessible and meaningful in classrooms around the world.

Rating Methodology: Top 100 AI People

Core Criteria (70% of total score)
1. Professional Influence

Impact on the AI field: model development, product launches, research leadership, or executive roles.

2. Public Engagement

How actively the person shares insights, research, or commentary through X (Twitter), LinkedIn, blogs, or interviews.

3. Originality and Analytical Depth

The depth, uniqueness, and explanatory or predictive value of their commentary—beyond just reposting AI news.

4. Relevance and Activity in 2024–2025

The person is currently shaping discussions about AI—not just a historical figure.

5. Topic and Format Diversity

Covers a range of AI domains—language models, video generation, ethics, law, engineering, startups—across multiple platforms or formats.

Additional Criteria (30%)
6. Audience Size and Engagement

Follower count, post interactions, shares, and community responsiveness.

7. Cross-Platform Presence

Activity in articles, X, LinkedIn, conferences, podcasts, and media.

8. Educational and Outreach Value

Content that is useful for learners, engineers, startup founders, or even parents and teachers.

9. Ethical Awareness and Social Impact

Goes beyond hype to address risks, transparency, and long-term consequences.

10. Global Reach

Influence beyond the U.S.—including Europe, Asia, Latin America, Africa—with a focus on global diversity.

Scoring Explanation

Each person was scored on a 10-point scale based on our criteria, with emphasis on:

– real-world influence in AI development
– public-facing thought leadership
– originality and depth
– sustained activity in 2024–2025
– engagement and global relevance

Top scores were awarded to those who:

– lead major developments,
– publicly share insights,
– shape industry direction,
– and influence AI education, ethics, and culture.