Jensen Huang
DEBUTTHE TOLLBOOTH
COMPUTECAPITALBOTTLENECKSAGENDA
Nvidia sits underneath much of the frontier race. Chips, CUDA, systems, and data-center economics make Huang the person whose roadmap can change everyone else's plans.
2026-Q3 · 2026-09-20
AI POWER 50
WHO ACTUALLY RUNS AI?
The people with the most power to shape what AI becomes next.
YOU'RE GOING TO HATE AT LEAST ONE OF THESE.
HOW WE RANK POWER
This is an editorial ranking, not a formula. We use the same lenses for every person, then make the call. No fake 94.7 scores.
- CAPABILITYControl over frontier models, research programs, or technical breakthroughs that can move the state of the art.
- COMPUTEControl over chips, cloud capacity, data centers, power, and the physical machinery required to train and run AI.
- CAPITALAbility to deploy enough money to fund models, infrastructure, acquisitions, talent, and long-horizon bets.
- DISTRIBUTIONAbility to put AI directly in front of large numbers of people through products, platforms, devices, or enterprise channels.
- TALENTAbility to recruit, retain, organize, or move researchers and builders whose work changes the competitive map.
- BOTTLENECKSControl over scarce infrastructure, platforms, supply chains, standards, or other chokepoints competitors must pass through.
- AGENDAAbility to make competitors, markets, researchers, media, or institutions react to a launch, warning, investment, or strategic move.
The numbered list covers industry, research, capital, and infrastructure figures. Government power is reported through concrete offices, authorities, and actions rather than folded into this numerical ranking.
Sam Altman
DEBUTTHE DEALMAKER
CAPABILITYCAPITALDISTRIBUTIONTALENTAGENDA
OpenAI combines frontier models, ChatGPT distribution, huge capital needs, infrastructure alliances, and an unusual ability to make the rest of the industry respond.
Sundar Pichai
DEBUTTHE FULL STACK
CAPABILITYCOMPUTECAPITALDISTRIBUTIONTALENT
Alphabet can move AI through Search, Android, Cloud, Gemini, and Google DeepMind at once. Pichai controls one of the broadest distribution and research stacks in technology.
Satya Nadella
DEBUTTHE ENTERPRISE GATEKEEPER
COMPUTECAPITALDISTRIBUTIONBOTTLENECKSAGENDA
Azure, Windows, Microsoft 365, Copilot, and the OpenAI relationship give Nadella enormous leverage over how advanced AI reaches companies and workers.
Demis Hassabis
DEBUTTHE LAB INSIDE THE EMPIRE
CAPABILITYTALENTCOMPUTEAGENDA
Hassabis leads Alphabet's most important frontier-research organization while also shaping AI-for-science strategy, giving him unusual reach across models, research talent, and scientific applications.
Dario Amodei
DEBUTTHE SAFETY BARON
CAPABILITYCAPITALTALENTAGENDA
Anthropic turned Claude into a frontier competitor while tying itself deeply to hyperscale infrastructure. Amodei also helps set the industry's argument about speed, safety, and control.
Mark Zuckerberg
DEBUTTHE DISTRIBUTION CANNON
COMPUTECAPITALDISTRIBUTIONTALENTAGENDA
Meta can pair enormous compute spending with billions of social-product users and an open-model strategy designed to reshape the economics of the model layer.
Elon Musk
DEBUTTHE VERTICAL GAMBLE
CAPABILITYCOMPUTECAPITALDISTRIBUTIONAGENDA
xAI combines a frontier-model effort with X distribution, aggressive infrastructure spending, and Musk's ability to move capital, talent, and attention across companies.
Andy Jassy
DEBUTTHE CLOUD LANDLORD
COMPUTECAPITALDISTRIBUTIONBOTTLENECKS
AWS is one of the physical and commercial foundations of the AI boom. Amazon's Anthropic alliance, custom chips, Bedrock, and Nova give Jassy influence across the infrastructure layer.
Liang Wenfeng
DEBUTTHE PRICE DISRUPTOR
CAPABILITYTALENTCAPITALAGENDA
DeepSeek changed assumptions about who can build frontier reasoning systems and at what cost. Liang now sits at the center of one of the most consequential non-U.S. model labs.
Mira Murati
DEBUTTHE NEW LAB WITH A GIGAWATT
CAPABILITYCOMPUTECAPITALTALENT
Thinking Machines moved from new-lab curiosity to infrastructure-scale ambition, including a multi-year Nvidia partnership targeting at least one gigawatt of next-generation systems.
John Ternus
DEBUTTHE DEVICE KING
CAPITALDISTRIBUTIONBOTTLENECKSTALENT
Ternus became Apple CEO in September 2026. That hands him one of the world's largest device ecosystems, a custom-silicon stack, and enormous power over how consumer AI reaches hardware.
Arthur Mensch
DEBUTEUROPE'S BET
CAPABILITYCAPITALTALENTAGENDA
Mistral has become Europe's most visible frontier-model challenger, with fresh capital and a strategy spanning models, enterprise software, and sovereign AI infrastructure.
Mustafa Suleyman
DEBUTTHE COPILOT BOSS
CAPABILITYDISTRIBUTIONTALENTAGENDA
Microsoft AI puts Suleyman over consumer AI products and frontier-model work inside one of the world's largest software and cloud companies.
Ilya Sutskever
DEBUTTHE SCIENTIST PEOPLE FOLLOW
CAPABILITYTALENTAGENDA
Safe Superintelligence gives Sutskever a focused frontier lab, while his technical reputation still carries unusual weight in recruiting and in arguments about what advanced systems become.
Jeff Bezos
DEBUTTHE OWNER ABOVE THE CLOUD
CAPITALCOMPUTEBOTTLENECKS
Bezos no longer runs Amazon day to day, but he remains executive chair of the company that owns AWS and retains the personal capital to make unusually large long-horizon technology bets.
Jingren Zhou
DEBUTTHE QWEN COMMANDER
CAPABILITYCOMPUTEDISTRIBUTIONTALENT
Alibaba lists Zhou as chief AI architect and head of its Tongyi foundation-model division, putting him where one of China's largest cloud platforms meets the Qwen model family.
Jeff Dean
DEBUTTHE ENGINE ROOM SCIENTIST
CAPABILITYCOMPUTETALENTBOTTLENECKS
Dean is Google's chief scientist across Research and DeepMind, after decades building the distributed systems and machine-learning infrastructure beneath Google's AI stack.
Fei-Fei Li
DEBUTTHE SPATIAL BET
CAPABILITYCAPITALTALENTAGENDA
Li combines scientific authority, Stanford institutional reach, and World Labs' push into spatial intelligence, giving her influence across both research direction and company building.
Geoffrey Hinton
DEBUTTHE NOBEL WARNING
CAPABILITYTALENTAGENDA
Hinton does not control a giant company, but his foundational scientific status and public warnings give him unusual agenda-setting power over how advanced AI is understood and debated.
Tim Cook
DEBUTTHE CHAIR ABOVE APPLE
CAPITALDISTRIBUTIONBOTTLENECKS
Cook left the Apple CEO job in September 2026 but became executive chair. He remains attached to one of the industry's most valuable distribution, silicon, and device platforms.
Eric Schmidt
DEBUTTHE WASHINGTON-SILICON BRIDGE
CAPITALAGENDATALENT
Schmidt connects a Google-era fortune, science philanthropy, national-security institutions, and AI policy debates, giving him influence far beyond any single operating company.
Yann LeCun
DEBUTTHE WORLD-MODEL HERETIC
CAPABILITYCAPITALTALENTAGENDA
LeCun left Meta to build Advanced Machine Intelligence around world models, then raised more than $1 billion to pursue an alternative to the industry's dominant language-model path.
Yoshua Bengio
DEBUTTHE SAFETY INSTITUTION
CAPABILITYTALENTAGENDA
Bengio pairs foundational research stature with international safety work and LawZero, giving him a durable voice in the technical and institutional response to frontier AI risk.
Thomas Wolf
DEBUTTHE OPEN MODEL LIBRARIAN
DISTRIBUTIONTALENTBOTTLENECKSAGENDA
Wolf helped turn Hugging Face into a central distribution and collaboration layer for open models, datasets, and tooling used across the AI research and developer ecosystem.
Guillaume Lample
DEBUTTHE MISTRAL SCIENTIST
CAPABILITYTALENTAGENDA
Lample co-founded Mistral after helping build Meta's language-model research, and now helps steer the science behind Europe's largest independent frontier-model company.
Timothée Lacroix
DEBUTTHE MISTRAL BUILDER
CAPABILITYCOMPUTETALENTBOTTLENECKS
Lacroix is the engineering co-founder and CTO behind Mistral's rapid expansion from open-weight models into enterprise systems and sovereign compute.
Junyang Lin
DEBUTTHE QWEN ALUMNUS
CAPABILITYTALENTDISTRIBUTION
Lin helped lead Qwen through its explosive open-model expansion before leaving Alibaba in 2026, giving him lasting influence through one of the world's most widely distributed model families.
Bowen Yu
DEBUTTHE ALIGNMENT SHOP
CAPABILITYTALENT
Yu leads work on Qwen post-training and alignment, the machinery that turns raw pretrained systems into useful instruction-following and reasoning models.
Binyuan Hui
DEBUTTHE CODING SPECIALIST
CAPABILITYTALENTAGENDA
Hui has become a prominent Qwen researcher across coding models, reasoning, and open software-engineering agents, giving him leverage where models increasingly write the software around them.
Daya Guo
DEBUTTHE DEEPSEEK CODER
CAPABILITYTALENT
Guo helped establish DeepSeek's reputation in code intelligence and reasoning research before leaving the lab in 2026, carrying technical influence from one of the industry's biggest disruptions.
Andrej Karpathy
DEBUTTHE DEVELOPER TRANSLATOR
TALENTDISTRIBUTIONAGENDA
Karpathy has moved between OpenAI, Tesla, research, education, and independent building. His unusual power is making frontier ideas legible and usable to working engineers.
Dylan Patel
DEBUTTHE CAPEX WHISPERER
BOTTLENECKSAGENDADISTRIBUTION
SemiAnalysis turns chips, data centers, supply chains, and facility-level research into information that executives and investors use to understand the physical AI race.
Eliezer Yudkowsky
DEBUTTHE DOOM ORIGINAL
AGENDATALENT
Yudkowsky helped build the modern intellectual ecosystem around alignment and existential risk, giving him agenda-setting power far beyond the size of his institutions.
Tristan Harris
DEBUTTHE INCENTIVES ALARM
AGENDADISTRIBUTION
Harris turned the social-media incentives critique into a public movement and now applies the same framework to AI competition, safety, and institutional behavior.
Stuart Russell
DEBUTTHE CONTROL PROBLEM
CAPABILITYTALENTAGENDA
Russell combines a foundational AI textbook, Berkeley research leadership, and decades of work on human-compatible AI and autonomous-weapons risk.
Ethan Mollick
DEBUTTHE OFFICE-HOURS DISTRIBUTION LAYER
DISTRIBUTIONAGENDA
Mollick has become one of the most visible interpreters of practical generative AI for workers, educators, managers, and organizations trying to decide what to do with it.
Simon Willison
DEBUTTHE HANDS-ON TEST LAB
DISTRIBUTIONAGENDATALENT
Willison's constant public testing and documentation of new models makes him an unusually trusted interpreter of what AI systems can actually do for developers.
Dwarkesh Patel
DEBUTTHE INTERROGATION ROOM
DISTRIBUTIONAGENDA
Patel's long-form interviews have become an oral history of the frontier era, giving researchers and executives a venue to explain ideas that later shape industry debate.
Pieter Levels
DEBUTTHE ONE-MAN FACTORY
DISTRIBUTIONAGENDA
Levels shows how far a single operator can push AI-assisted product development, turning rapid experiments into a visible counterexample to large-team software economics.
George Hotz
DEBUTTHE GARAGE LAB
CAPABILITYTALENTAGENDA
Hotz moves between autonomous driving, open-source machine learning, hardware, and tiny teams, giving him outsized influence among builders who distrust institutional scale.
swyx (Shawn Wang)
DEBUTTHE AI ENGINEER ORGANIZER
DISTRIBUTIONTALENTAGENDA
Shawn Wang helped give the AI Engineer role a name, publication, and conference circuit, shaping how a fast-growing developer class talks about the new stack.
Jeremy Howard
DEBUTTHE PRACTICAL DEEP-LEARNING SCHOOL
DISTRIBUTIONTALENTAGENDA
Howard's fast.ai work has spent years lowering the barrier between advanced machine learning research and people who want to use it without joining a giant lab.
Jack Dorsey
DEBUTTHE PROTOCOL HOLDOUT
CAPITALDISTRIBUTIONAGENDA
Dorsey no longer controls Twitter, but Block, capital, and his persistent bets on open protocols keep him relevant to arguments about who should own internet-scale intelligence and infrastructure.
Yuval Noah Harari
DEBUTTHE CIVILIZATION NARRATOR
DISTRIBUTIONAGENDA
Harari brings AI into a much larger story about information, institutions, and human power, giving him a global audience for arguments about what machine intelligence changes.
Nick Bostrom
DEBUTTHE SUPERINTELLIGENCE CANON
AGENDATALENT
Bostrom helped make superintelligence and existential risk serious academic subjects, and his frameworks still shape how researchers and institutions describe long-run AI danger.
Ray Kurzweil
DEBUTTHE EXPONENTIAL PROPHET
AGENDADISTRIBUTION
Kurzweil spent decades popularizing the idea that accelerating computation would converge with human intelligence, and his forecasts still frame public expectations around the Singularity.
Lex Fridman
DEBUTTHE GIANT MICROPHONE
DISTRIBUTIONAGENDA
Fridman's interviews give frontier researchers, founders, and technology figures unusually long access to a global audience, making his platform a durable agenda-setting venue.
ThePrimeagen
DEBUTTHE PROGRAMMER CROWD
DISTRIBUTIONAGENDA
ThePrimeagen has built a large developer audience around programming culture and increasingly AI-assisted coding, giving him real influence over how working engineers receive new tools.
Robert Wright
DEBUTTHE CIVILIZATIONAL TEST
AGENDADISTRIBUTION
Wright's long-running work on cooperation, evolution, and moral progress now extends into AI, giving him a smaller but durable role in the intellectual argument over what advanced systems mean.