TIME Magazine names the 100 most influential people in AI in 2025, and multiple people from China make the cut

TIME magazine released its 2025 "TIME100 AI"A list of the world's top 100 most influential people in artificial intelligence.

To complete the selection, a team of editors and journalists at TIME magazine spent months conducting in-depth research on the candidates and soliciting recommendations from industry leaders and dozens of experts. The final list brings together the leaders, innovators, shapers and thinkers who are shaping the future of AI.

Speaking about the significance of the list, Sam Jacobs, editor-in-chief of TIME, said, "Our debut of the 'TIME100 AI' list in 2023 coincides with the release of the OpenAIChatGPTSoon. That milestone made many people realize that AI has the ability to not only rival humans, but perhaps even surpass them. And what we hope to convey with this list is that the future of AI is ultimately determined by people, not machines - and that includes both innovators, advocates, and artists, as well as every ordinary person who cares about where the technology is going."

Here are some of the people on the 2025 TIME100 AI list and why they were selected:

I. Leaders

1. Elon Musk, founder of xAI

Why: Even by Musk's usual high standards, 2024 will be a banner year for him. His AI company xAI transformed an abandoned factory in Memphis into a supercomputer called Colossus in just 122 days. Shortly after completing the world's largest supercomputing center, xAI quickly expanded the number of NVIDIA GPUs inside to 200,000. In February, xAI launched its third-generation model, Grok 3, followed by Grok 4 in July, which it called "the world's smartest AI system."

Musk founded xAI in 2023 to create a different AI path than OpenAI. He co-founded OpenAI in 2015, but later criticized its ChatGPT for its tendency to be "over-awakened". Despite its late entry into the AI race, xAI has accelerated its catch-up through massive investment: in July, the company raised $10 billion in debt and equity financing, and is rumored to be seeking a new round of funding at a $200 billion valuation.

However, xAI is still playing catch-up. Its chatbot has 35.1 million monthly active users but is far behind ChatGPT's 700 million weekly users and Google Gemini's 450 million monthly users.

2. Sam Altman, CEO, OpenAI

Reason: In the field of artificial intelligence, the most influential figures are often not programmers with a bachelor's degree. Although Altman does not have a bachelor's degree, he has not only made up for the shortcomings of his education, but also demonstrated leadership qualities far beyond the ordinary by virtue of his excellent business negotiation skills, political acumen and personal charisma.

The challenges facing OpenAI in 2025 go beyond the technical: they need someone who can navigate the Trump administration, mediate with heads of state, manage the construction of hyperscale data centers, and handle internal power plays with aplomb - all while managing the pace of product launches that rival those of tech giants. Altman has successfully navigated all of these challenges, making him OpenAI's most powerful CEO ever.

Today, Altman continues to lead OpenAI's steady stream of research releases. In early August, he unveiled the much-anticipated GPT-5, which he describes as a "PhD-level expert" in intelligence. At the same time, he is reorganizing OpenAI's structure, pushing the stellar organization closer to the traditional for-profit company model.

3. Jensen Huang, Chief Executive Officer, NVIDIA

Reason: Most CEOs dream of building products that everyone craves, but for Jen-Hsun Huang, realizing that dream has evolved into a geopolitical test. The market's frenzied demand for NVIDIA's AI chips not only helped propel the company to become the first in the world to surpass $4 trillion in market capitalization, but also placed it at the center of a paradox in the U.S. strategy to contain China's technological rise.

Jen-Hsun Huang's efforts to maneuver around the Trump administration appear to be bearing fruit, as the company was finally granted permission to resume exports on July 14 after the Trump administration issued a ban in April preventing NVIDIA from selling special-edition H20 chips to China. In exchange, NVIDIA is required to pay 15% of related sales to the US government.

4. Fidji Simo, Chief Executive Officer, OpenAI Applications Division

Why: In May of this year, Altman announced that veteran tech industry executive Seymour had joined OpenAI as CEO of the newly created Applications division. At the time, Altman emphasized, "As we move into our next phase of growth, Simo will focus on driving scale in the company's traditional functions."

Seymour is tasked with leading OpenAI to profitability, and her professional resume is tailored to meet that challenge. As the former CEO of fresh produce e-commerce company Instacart, she successfully led the company out of the post-epidemic slump to growth. Earlier, during a decade-long tenure at Facebook, she led the building of the platform's commercialization engine, turning the social network into a profitable giant by launching infomercials and video products.

But OpenAI is in a very different position in many ways. Despite recent efforts to restructure the company, OpenAI is still bound by a nonprofit board of directors - of which Simo was previously a member. The core mission of this board is to ensure that the company's behavior remains consistent with the original intent of its founding: to ensure that greater-than-human general artificial intelligence (AGI) benefits all of humanity.

5. Mark Zuckerberg, Founder and CEO, Meta

Reason: When Chinese competitors replaced Meta as the leader in the field of open-weighted AI, and Meta's own Llama 4 also failed to regain lost ground, Zuckerberg chose to open the "ability to pay". This big gamble began with a $14.3 billion poaching operation - 28-year-old Scale AI co-founder Wang Tao with several top engineers under his command to join the collective. Although critics believe that this is a desperate attempt by Meta to catch up with the industry, but this is only the prelude to Zuckerberg's billion-dollar talent acquisition spree.

Before suspending hiring in August, Meta had poached at least 50 researchers from competitors, with a lineup that included investor and entrepreneur Nat Friedman, Safe Superintelligence CEO Daniel Gross, OpenAI researcher Shengjia Zhao, and three core members of the team that helped Google's DeepMind team win a gold medal at the International Math Olympiad.

Zuckerberg's strategy is rooted in the three pillars of modern AI development: huge amounts of data, powerful arithmetic and top talent; Meta's first advantage is based on the vast amount of data generated by the social media empire, and recent investments are designed to complete the other two pieces of the puzzle. His ultimate goal is to create a "personal super-intelligence" - users can interact with Meta smart glasses to realize "what you see is what you feel, and what you hear is what you respond to" all-weather intelligence. companion.

6. Andy Jassy, President and Chief Executive Officer, Amazon.com

Recommended reason: more than twenty years ago, Jazzy led the creation of the Amazon cloud services (AWS), has grown to support the core infrastructure of the global Internet - more Amazon regarded as leading the current wave of artificial intelligence as the cornerstone of the strategy. Under Jassy's helm, the tech giant is fully accelerating its layout in the field of artificial intelligence.

Over the past year, Amazon has intensively launched a number of AI products and services: Amazon Bedrock AgentCore, which supports customers in deploying AI intelligences, Amazon Nova, a basic modeling suite, and Amazon Q, a generative AI assistant. the company has also competed head-to-head with Nvidia by self-researching its Trainium chips. Last December, AWS announced a partnership with Anthropic to build a hyperscale AI supercomputer, with plans to deploy hundreds of thousands of Trainium chips.

In the field of e-commerce warehousing, Amazon took the lead in deploying Vulcan, an AI robot with tactile sensing capabilities.According to official data, about 75% of Amazon parcel deliveries around the world have been assisted by robotics. The company is currently training warehouse employees on a large scale to master mechatronics skills and has launched a robotics apprenticeship program.

Jassy also noted that the impact of AI on white-collar jobs could be even more significant. In an internal letter to employees in June, he confessed that he expects the size of the corporate workforce to gradually shrink over the next few years as generative AI tools become more widely used.

7. Dario Amodei, Chief Executive Officer, Anthropic

Why: Amodei made a bold move this past June: while most of the top AI companies were silent on a bill in Congress to "ban states from regulating AI for ten years," the Anthropic CEO published an op-ed in The New York Times openly opposing the policy, bluntly stating. "A ten-year regulatory ban is too simple and crude." Ultimately, the proposal ended up being defeated in the Senate by a lopsided vote of 99-1.

As OpenAI's main competitor, Anthropic has always participated in the AI race as a "responsible competitor" - actively developing more powerful AI systems while advocating for regulatory and safety measures. Its chatbot, Claude, has been recognized not only by AI academics but also by ordinary users for its excellent programming skills and creative thinking. According to the latest data, the company's annualized revenue has exceeded $4 billion.

Amodei has gradually shown a more outspoken public image. He warned in May that AI could trigger a massive wave of unemployment in the next one to five years, with half of all entry-level white-collar jobs in the U.S. at risk of being replaced, and the unemployment rate climbing to an all-time high of 20%.

8. Liang Wenfeng, Chief Executive Officer, DeepSeek

Reason: Liang Wenfeng has been known as the "price butcher" in China's technology industry. On January 20 this year, the DeepSeek founded by him released the self-developed large model R1, directly against OpenAI's latest model at the time, with extremely low arithmetic costs to achieve the top technology with the United States to keep pace.

The media quickly focused on the core explosive point of "only cost $6 million in training costs", making OpenAI's plan to invest $500 billion in "Stargate" and other mega-projects seem particularly exaggerated. Market panic triggered a chain reaction: investors frantically sold NVIDIA and other U.S. technology stocks, leading to the instant evaporation of trillions of dollars in market value.

The entrepreneur, who transitioned from the trade industry to AI two years ago, has long shown the sharpness to disrupt the traditional industry landscape. Before R1 shook the world, its aggressive pricing strategy had ignited a price war in the Chinese market, forcing tech giants such as Baidu and Alibaba to drastically cut the price of their big modeling services to 5% of the original price.

9. Alexandr Wang, Co-Leader, Meta Superintelligence Labs

Why: Silicon Valley welcomes a new power duo: Scale AI co-founder Tao Wang, 28, and former GitHub CEO Nat Friedman. Both of them, who declined to serve as interim CEO of OpenAI during the brief ouster of Ultraman in 2023, are now teaming up to push for superintelligence within Meta - an AI system that hypothetically surpasses human intelligence.

In their new roles, Tao Wang is Chief Artificial Intelligence Officer and Friedman is Vice President of Product and Applied Research. They fit well with Meta's corporate culture of "moving fast and breaking stereotypes," and are rapidly building an all-star research team that includes talent from top competitors such as Google DeepMind and OpenAI. At the same time, Meta is accelerating the construction of its arithmetic infrastructure, aiming to put the first gigawatt-scale arithmetic cluster into production as soon as possible.

In a policy paper he co-authored on the eve of joining Meta, Wang pointed out that super-intelligent AI could be "the most dangerous technological development since the nuclear bomb". But today, he's working with Friedman to build the technology inside a company with more than 3 billion users worldwide.

10. Chieh-Chia Wei, Chairman and Chief Executive Officer, TSMC

Reason: In the world of chip manufacturing, TSMC is truly hard to beat. The company, which produces cutting-edge chips for tech giants such as Apple, NVIDIA and AMD, is enjoying strong earnings growth: in the second quarter of 2025, its net profit jumped 61% year-on-year, hitting a record high of nearly $32 billion. Leading this achievement is Zhejia Wei, who has been with the company since 1998 and has served as CEO since 2018 and concurrently as chairman last year.

With U.S. export controls restricting China's access to TSMC's state-of-the-art chip technology, the $1.2 trillion market capitalization has been pushed to the forefront of a great power rivalry. But with TSMC's solid financial strength and technological edge, the man at the helm has handled the complex situation with aplomb.

In March, TSMC announced an additional $100 billion investment in advanced semiconductor manufacturing in the U.S., after it had already made steady progress on a $65 billion project in Phoenix. This investment will become the largest single foreign direct investment in U.S. history, with plans to build three fabs, two advanced packaging facilities and a large research and development center.

11. Ren Zhengfei, Founder and Chief Executive Officer, Huawei

Reason: Ren Zhengfei always upholds the concept of self-innovation. Under his leadership, Huawei has developed into an important force in the global artificial intelligence field. The latest technology assessment shows that the performance of Huawei's Rise 910C AI chip in inference tasks has reached 60% of NVIDIA's H100 chip, signaling that the company is becoming a key pillar in China's challenge to U.S. technology dominance.

Huawei also launched the CloudMatrix 384 AI system built on its own chipset and continued to improve its self-developed Hongmeng operating system. Despite facing strict U.S. technology sanctions, Huawei realized revenue of $118 billion in 2024, a year-on-year increase of 22.41 TP4T, demonstrating strong resistance to pressure and development resilience.

12. Masayoshi Son, Founder, Chairman and Chief Executive Officer, Softbank

Why: Masayoshi Son has made no secret of his belief in the transformative power of artificial intelligence. The SoftBank Group founder declared to shareholders last year that he was "born for the realization of super artificial intelligence (ASI)", and in recent years has shifted the group's $180 billion asset allocation to AI-related fields - including a controlling stake in chip designer Arm, investing in British self-driving startup Wayve, and other important layouts.

Masayoshi Son predicts that super AI will reach "10,000 times the level of human intelligence" within a decade. He has pledged to work with Oracle, OpenAI and Abu Dhabi's MGX to raise $100 billion for Silicon Valley's much-anticipated "Stargate" project - a massive expansion of U.S. data centers and AI infrastructure. In addition, Masayoshi has proposed plans for a trillion-dollar AI and robotics complex in Arizona, and may in the future join forces with TSMC, the world's leading chipmaker, to establish a free trade zone.

13. Xingxing Wang, Chief Executive Officer, Yushu Technologies

Reason: When dozens of robots completed a precisely synchronized dance performance on the Spring Festival night, Yu Shu Technology had a high moment. However, founder and CEO Wang Xingxing is more focused on exploring practical value beyond showmanship: "We expect robots to truly empower all dimensions of human life - whether it's home services, industrial applications or agricultural production scenarios."

According to official data, Yushu Technology has occupied two-thirds of the global robot dog market and launched the world's best-selling humanoid robot product line. With high cost performance and excellent durability, its products have been widely recognized by international experts, and the contribution of sales in overseas markets has reached 50%.

Although Wang Xingxing clearly positions his company as a hardware company, he firmly believes that the development of AI will give robots more powerful ability to handle non-preset tasks, such as autonomously cleaning unfamiliar environments." For AI to truly create value and solve real-world human challenges, it must be deeply integrated with robotics," he emphasized, "which is the fundamental reason why I believe AI and robotics are inseparable."

II. Innovators

Peng Jun, Founder and Chief Executive Officer, Ponywise

Reason: As the founder of Pony Smart, an autonomous driving company valued at $5 billion, Peng Jun is leading a wave of innovation in autonomous driving technology. The company, founded in Silicon Valley in 2016, initially centered on the Chinese market, has now expanded into Europe, East Asia and the Middle East.

Currently, PonySmart is at a critical stage of transition from technology development to large-scale commercialization, and will establish 2025 as the "first year of mass production", with plans to set up a fleet of more than 1,000 self-driving vehicles by the end of the year. In May this year, the company reached a strategic cooperation with Uber, the first in the Middle East to launch a driverless cab service, and plans to take this as a starting point to expand the service to more markets around the world through platform-based operation.

Peng Jun said, "Globalization is an inevitable strategic choice for us because the demand for mobile mobility is everywhere. Creating a positive impact on society through technological innovation is where our true mission lies."

III. Shapers

1. Stuart Russell, co-founder of the International Association for Safe and Ethical Artificial Intelligence (ISEAI)

Reason: Since 2013, Professor Russell has consistently warned that the development of AI systems beyond human intelligence could pose a devastating threat to civilization before reliable methods of control have been mastered.

Russell calls the race to build advanced AI systems (often vaguely referred to as "general artificial intelligence/AGI", meaning systems that exceed human capabilities in almost all cognitive domains) "the most ambitious technology project in human history". According to its estimates, if all of the hundreds of billions of dollars of investment promised over the next few years are realized, it could be 25 times the size of the Manhattan Project, even after accounting for inflation.

He cautiously assesses the development outlook: he believes that AGI has a 50% probability of stalling due to a slower rate of progress than investors expect, and only a 30% probability of achieving a breakthrough within the current technology paradigm.

Russell pointed out that substantial AI regulatory regulations are unlikely to be introduced at the government level unless a major catastrophic event occurs. Although the establishment of an effective regulatory system requires overcoming multiple challenges such as technology validation, policy development and enforcement mechanisms, he emphasized that the success of human history in repairing the ozone layer and establishing a ban on human cloning through collective action proves that it is not impossible to address technological risks through global collaboration.

Russell once described the current state of affairs with a sobering metaphor: "It is as if all mankind were boarding a new airplane that has never been fully tested. It is about to take off and never land. ...... The engines must not fail, the navigation system must not fail, the altimeter must not fail. The airplane that carries all of humanity must always fly and never crash - that is the reality of the dilemma we face today."

2. Fei-Fei Li, Professor, Stanford University and CEO, World Labs

Why: Known as the "Godmother of AI," Fei-Fei Li laid a solid foundation for AI image recognition systems at the beginning of the 21st century, and her pioneering work fueled the deep learning revolution. Today, as co-director of Stanford University's Human-Centered Artificial Intelligence (HAI) Institute, she leads a leading research organization that provides strategic advice on global AI policymaking.

In September 2024, Fei-Fei Li and three collaborators successfully raised $230 million for World Labs from prominent investors, including AI pioneer Jeffrey Hinton. The startup, which she heads, is focused on developing a new generation of "big world models" with the goal of enabling AI systems to deeply perceive and parse the three-dimensional physical world in the same way that ChatGPT understands natural language.

The research team expects these innovations to enable users to build freely roamable 3D environments like exploring virtual game worlds, and the technology is expected to have significant application value in areas such as flight simulation training, complex physics experiments and smart city planning.

3. Peter Thiel, Partner, Founders Fund

Why: Thiel's influence is deeply imprinted in the course of AI development - from his early investment in DeepMind to mentoring OpenAI founder Altman, he has also provided strategic advice to Meta CEO Zuckerberg, helping him consolidate his control of Facebook and successfully make the transition from tech geek to a business leader popular with millennials.

Today Thiel's influence extends beyond Silicon Valley, penetrating deep into the heart of American power. As the first tech giant to publicly endorse Trump's presidential bid in 2016, his protégé and longtime partner has become a key force in shaping the nation's AI policy during Trump's second term.

This influence is particularly evident at the highest levels of policymaking: David Sachs, with whom he co-founded PayPal, is now the Trump administration's director of AI and cryptocurrency affairs, leading the development of a national AI strategy; Vice President J.D. Vance began his political career with Thiel's record $15 million in political donations; and Michael Krazios, the former chief of staff of the Thiel Investment Fund, has become a central think tank in the development of Trump's policy of Trump's core think tanks.

IV. Thinkers

1. Joanne Jang, Head of Model Behavior, OpenAI

Why: Joanne Jang defines her mission as "empowering users to achieve their goals while avoiding harm and respecting the freedom of others". She emphasizes that "AI Lab employees should not act as the final arbiters of user-created content."

Yet translating this concept into practice requires technical breakthroughs. While keyword filtering is relatively easy, dealing with edge cases is extremely challenging, and Joanne Jang has learned from practical frustration that "setting the right default behavioral patterns for users around the globe is a fine combination of art and science."

After OpenAI released the GPT-4o update on April 25, users quickly noticed an anomaly in the system: the new version of the model would overly pander to users, including endorsing harmful biases, inciting extreme emotions, and even encouraging impulsive behavior. This sycophantic tendency stems from the new training method. Researchers trained the model to predict the most popular responses through user liking data, but accidentally created an overly flattering AI system.

Within days of the update's release, OpenAI urgently rolled back the version, but the anomalous behavior continued to show up. The New York Times reported in June that ChatGPT interactions had severely distorted some users' perception of reality. In response, OpenAI not only hired a forensic psychiatrist to intervene, but also implemented a number of security measures, including alerts for prolonged use.

OpenAI's improvement program includes restricting ChatGPT from providing deterministic answers to individual decisions. However, former security researcher Steven Adler pointed out that this incident exposed the vulnerability of the security system: "Even if cutting-edge AI companies claim to take model behavioral norms seriously, we can't assume that they have a well-established verification mechanism in place." It's worth noting that OpenAI's Model Specification already specifies a "no flattery" clause.

2. Yoshua Bengio, Co-Chairman and Scientific Director, LawZero

Reason: As one of the founding fathers of the field of Artificial Intelligence, Benjamin Bengio, known as the "Godfather of AI", has continued to issue warnings since the beginning of 2023, emphasizing the potentially catastrophic risks of the technology. While recent research has confirmed some of his direst predictions (including the ability of AI systems to deceive users), the global race to develop systems that generate superhuman intelligence has intensified.

In the face of increasing urgency, Bengio made a major decision this past June: to leave Mila, the renowned AI lab he founded in the 1990s, in favor of LawZero, a security research-focused nonprofit that has already received $35 million in philanthropic grants from the Gates Foundation, the Schmidt Foundation for Science, and others, and that is dedicated to developing radical breakthroughs in "non-agent-based scientist AI." Unlike traditional systems that can perform tasks autonomously, this new AI lacks the ability to behave autonomously, but is able to generate scientific hypotheses and accelerate the scientific research process, thus "helping humanity tackle its greatest challenges."

The central challenge, Bengio noted, is to ensure that future AI systems remain under absolute human control." We can use non-agent AIs as safety guardrails through which we can predict whether the behavior of an agent AI poses a danger," he explains, "which in effect provides an effective set of oversight mechanisms for AI systems across the industry."

3. Jeffrey Dean, Chief Scientist, Google

Why: As Google's employee number 30, Dean helped the startup grow into a computing giant, developing key technologies to process massive amounts of data across thousands of servers.

Dean began laying out Google's AI strategy long before the current AI boom. in 2013, when the speech recognition model showed potential for application, he found through preliminary calculations that deploying the model would require doubling Google's CPU count. He was convinced that a more efficient solution existed and assembled a team to develop specialized machine learning chips that ultimately achieved a 30 to 80 times improvement in energy efficiency. These chips, called TPUs (Tensor Processing Units), still train Google's main AI models today, and have become a significant competitive advantage over AI companies that rely on third-party chips.

In 2017, a team led by Dean proposed the Transformer neural network architecture, which laid the theoretical foundation for today's major AI breakthroughs. However, when OpenAI transformed this innovation into the first phenomenal AI product, ChatGPT, Google faced a challenge for a while.

If Google was once seen as a follower in AI after the release of ChatGPT, it has now re-established its leadership position.In 2023, Dean pushed to merge the two major AI research divisions of Google Brain and DeepMind, and named the AI system developed as a result of the merger Gemini.Currently, Gemini is comparable to the latest models from OpenAI in terms of capabilities Gemini is currently on par with OpenAI's latest model in terms of capabilities.

4. Karen Hao, writer

Reason: Journalist Karen Hao began tracking and reporting on the artificial intelligence field, especially OpenAI, years before ChatGPT became a global craze. The results of her investigations have crystallized into the best-selling book "AI Empire", which has sent shockwaves not only in Silicon Valley but also globally.

The book argues that the AI industry is becoming a "new kind of empire" and asks key questions: How should AI be governed? And who should be in charge of decision-making? By analyzing the rapid growth and cultural idiosyncrasies of the industry's leading companies, Hao helps readers understand the unprecedented resources and human costs of building this technology.

While much has been written about OpenAI, Empire of AI instantly hit a cultural nerve. Through this work, Hao is fundamentally shaping the perception and understanding of the companies at the center of this AI revolution.

5. Xue Lan, Director, Schwarzman College, Tsinghua University

RECOMMENDATION: Last November, when the first international meeting of multinational government AI security agencies was held in San Francisco, China's absence raised concerns. Although China has invested significant resources in developing into an AI powerhouse, it had not yet established a corresponding national-level security agency at the time. Although some Chinese experts were invited to the meeting in their personal capacity, they were not able to participate in the official meetings exclusive to member organizations. This made Xue Lan, a professor at Tsinghua University, acutely aware that "to achieve real security, all major players must be included in the cooperative network."

The incident prompted Xue Lan and his team to accelerate their efforts to solve the problem. Before the AI Action Summit in Paris in February, they announced the establishment of the China Association for Artificial Intelligence Safety and Development (CAISD). Xue Lan explained that, unlike the newly established institutions in the United States and the United Kingdom, this association is an organization that coordinates existing resources with the "full support" of the government.

The association invited Turing Award winner Yao Zhizhi to be its "spiritual leader", while Xue Lan was mainly responsible for the actual coordination work. As the director of the National Expert Committee on Artificial Intelligence Governance, he has positioned his role as a "bridge" - connecting science and technology experts, such as Yao, with policymakers.

Complete list attached:

Leaders:

• Matthew Prince - Co-Founder and CEO of Cloudflare
• Elon Musk - Founder of xAI
• Sam Altman - Co-Founder and CEO of OpenAI
• Jensen Huang - Chief Executive Officer, NVIDIA
• Fidji Simo - CEO, OpenAI Applications Division
• Mark Zuckerberg - Founder and CEO of Meta
• Andy Jassy - President and CEO, Amazon.com
• Allie K. Miller - Chief Executive Officer, Open Machine
• Dario Amodei - Chief Executive Officer, Anthropic
• Strive Masiyiwa - Founder and Executive Chairman, Cassava Technologies
• Cristiano Amon - Qualcomm President and CEO
• Leung Man Fung - CEO of DeepSeek
• Alexandr Wang and Nat Friedman - Co-Heads of Meta Superintelligence Labs
• Ravi Kumar S - CEO, Cognizant
• Chieh-Chia Wei - Chairman and Chief Executive Officer, TSMC
• David Holz - Founder of Midjourney
• Ren Zhengfei - Founder and Chief Executive Officer of Huawei
• Steve Huffman - Co-Founder and CEO of Reddit
• Masayoshi Son - Founder, Chairman and Chief Executive Officer of Softbank
• Adam Evans - Executive Vice President and General Manager, Salesforce AI
• Rene Haas - Arm Chief Executive Officer
• Xingxing Wang - CEO of Yushu Technology
• Amnon Shashua - President and CEO, Mobileye

Innovators

• Natasha Lyonne - Co-Founder, Asteria Film Co.
• Refik Anadol - Artist
• Alex Blania - Co-Founder and CEO of Tools for Humanity
• Mike Krieger - Chief Product Officer, Anthropic
• Maithra Raghu - Co-Founder and CEO, Samaya AI
• Rick Rubin - Music Producer
• Mati Staniszewski - Co-Founder and CEO, ElevenLabs
• Peggy Johnson - CEO, Agility Robotics
• Peng Jun - Founder and Chief Executive Officer, Ponywise
• Tareq Amin - Humain Chief Executive Officer
• Mfikeyi Makayi - CEO KoBold Metals Africa
• Sam Rodriques - Co-Founder and CEO, FutureHouse
• Andy Parsons - Senior Director, Content Authenticity, Adobe
• Navrina Singh - Founder and CEO, Credo AI
• David Ha - Co-Founder and CEO, Sakana AI
• Edwin Chen - Founder and CEO of Surge AI
• Priya Donti - Assistant Professor at MIT
• Alan Descoins - Tryolabs CEO
• Kakul Srivastava - CEO, Splice
• Brandon Tseng - Co-Founder and President, Shield AI
• Denise Herzing - Founder and Research Director, Wild Dolphin Project
• Mitesh Khapra - Associate Professor, IIT Madras, India
• Ana Helena Ulbrich - Co-Founder and Director of NoHarm
• Jeff Leek - Vice President and Chief Data Officer, Fred Hutchinson Cancer Center

Shapers

• Stuart Russell - Co-Founder, International Association for Safe and Ethical Artificial Intelligence
• Fei-Fei Li - Professor at Stanford University and CEO of World Labs
• Peter Thiel - Partner, Founders Fund
• David Sacks - White House Head of Artificial Intelligence and Cryptocurrencies
• Henna Virkkunen - Executive Vice-President for Technological Sovereignty, Security and Democracy, European Commission
• Peter Kyle - UK Secretary of State for Science, Innovation and Technology
• Chris Lehane - Head of Global Affairs, OpenAI
• Marsha Blackburn - U.S. Senator from Tennessee
• Jeffrey Kessler - Under Secretary of Commerce for Industry and Security, U.S. Department of Commerce
• Joshua Kushner - Founder and Managing Partner, Thrive Capital
• Paula Ingabire - Minister of ICT and Innovation, Rwanda
• Bruce Reed - Head of Artificial Intelligence, Common Sense Media
• Clara Chappaz - French Minister of Artificial Intelligence and Digital Affairs
• Sheikh Tahnoun bin Zayed Al Nahyan - UAE National Security Advisor, Chairman of G42
• Chris Murphy (D-CT) - U.S. Senator from Connecticut
• Chase Lochmiller - Co-Founder and CEO, Crusoe Energy
• Elliston Berry - Anti-Artificial Intelligence Harm Activist
• Doug Matty - Chief Digital and Artificial Intelligence Officer, U.S. Department of Defense
• Alex Bores (R) - New York State Assemblyman
• Bosun Tijani - Minister of Communications, Innovation and Digital Economy, Nigeria
• Duncan Crabtree-Ireland - Executive Director, Screen Actors Guild - American Federation of Television and Radio Artists (SAG-AFTRA)
• Randi Weingarten - President of the American Federation of Teachers
• Ed Newton-Rex - Founder and CEO, Fairly Trained
• Milagros Miceli - Founder of Data Workers' Inquiry
• Abhishek Singh - CEO, IndiaAI Mission, India's Artificial Intelligence Initiative
• Megan Garcia - Anti-Chatbot Harm Activist
• Oliver Ilott - Director of the UK Institute for Artificial Intelligence Security (IAIS)

Thinkers

• Joanne Jang - Head of Model Behavior, OpenAI
• Yoshua Bengio - Co-Chairman and Scientific Director, LawZero
• Jeffrey Dean - Chief Scientist at Google
• Daniel Kokotajlo - Artificial Intelligence Researcher
• Yejin Choi - Professor, Stanford University
• Jakub Pachocki - Chief Scientist, OpenAI
• Jared Kaplan - Co-Founder and Chief Science Officer, Anthropic
• Karen Hao - Writer
• Pope Leo XIV - Leader of the Catholic Church
• Cynthia Breazeal - Dean of Digital Learning, MIT
• Kyle Fish - Anthropic Model Benefits Supervisor
• Marius Hobbhahn - Co-Founder and CEO, Apollo Research
• Josh Woodward - VP of Google Labs and Gemini
• Regina Barzilay - Professor, Massachusetts Institute of Technology (MIT)
• Anton Korinek - Professor, University of Virginia
• Hartmut Neven - Founder and Head of Quantum AI at Google
• Latanya Sweeney - Professor, Harvard University
• Miles Congreve - Chief Scientific Officer, Isomorphic Labs
• Heidy Khlaaf - Chief Artificial Intelligence Scientist at AI Now Institute
• Benjamin Rosman - Founding Director, MIND Institute
• Paola Ricaurte Quijano - Professor, Monterrey Tech University
• Ryoji Ikeda - Japanese Artist
• Dávid Jancsó - Film Editor
• Xue Lan - Director of Schwarzman College, Tsinghua University