Honored to be in Time100AI. The award has my name on it, the work has hundreds of names on it. My cofounders, the engineers who worked tirelessly and whose capacity for invention is extraordinary. Before their work nothing like our chip had ever existed. Awards go to individuals. Breakthroughs come from teams. Thank you to @TIME for the recognition. And thank you to the team at @cerebras - the fearless engineers who turned a previously impossible idea into reality.

Nine of the top ten foundation model providers run on CoreWeave. Our co-founder and CEO Mike Intrator has been named to the #TIME100AI# list of the most influential people in AI. Congratulations, Mike and the CoreWeave team.

Micron congratulates our Chairman and CEO, Sanjay Mehrotra, on being named to the 2026 TIME100 AI list, recognizing the 100 most influential people in artificial intelligence. As #AI# continues to transform industries and create new possibilities, we're proud to deliver the memory and storage technologies that help power the next generation of AI-enabled experiences from the data center to the edge. Congratulations, Sanjay, on this well-deserved recognition. #TIME100AI# #AIInnovation# @MicronCEO

AI is bringing massive change, and with that comes uncertainty, particularly about jobs. Our work at Handshake is to help more people take part in this new economy, to use AI to help push forward human knowledge, productivity and creativity. We’re already seeing people use AI to change the trajectories of their careers and lives in dramatically new ways: to earn real $$ from what they know, more easily learn skills that open new doors and spend more time doing work they care about, whether as an employee or entrepreneur. We have lots to do to make that work for billions of people, but I’m optimistic. And I’m incredibly grateful to everyone on the Handshake team who comes to work every day believing we can do that. Thank you to @TIME for the recognition. #TIME100AI#

Honored to be named one of the 100 most influential people in AI by @TIME right on the heels of the public launch of our company Accelerated Understanding @accelerated_u Bringing the power of AI+Science together has been the focus of my life for the past decade. I believe the greatest impact AI can have on science and engineering is its ability to massively accelerate simulation and understanding of the physical world. We started this journey with the invention of Neural Operators at @Caltech to have a powerful foundation for AI modeling physical phenomena at multiple scales. Together with my team at @nvidia and support from @JensenHuang himself we built FourCastNet, the first high-resolution AI-weather model that is tens of thousands of times faster than existing systems. Following up on this success we have applied Neural Operators to accelerating simulation of nuclear fusion to detect disruptions before they happen in the real world. Just this week, we announced how Neural Operators can enable density functional theory simulation in quantum chemistry quasi-linear time. We have also used Neural Operators to invent better medical devices like a catheter that reduces bacterial contamination by 100x and we have been able to design better masks for chips and optimized gate layouts for quantum dots. More recently we have been asking ourselves what would happen if we aggressively scale our models and put multiple areas of physics in the same model, teaching it physics in full 4D (3D space + time). This requires massive scale and that is exactly what we have been able to do at Accelerated Understanding. We have pre-trained models up to 1 Trillion parameters, and we are able to train at 4D context lengths of up to 1 Trillion and run inference at 5 Trillion context. I am particularly excited about self-improvement: a limiting factor for scaling physical AI so far has been the availability of high quality training data. As the old saying goes: your model is only as good as your data. But that no longer holds true: for our models we have the laws of physics themselves that let us measure and improve the quality of our outputs exceeding what was present in the training data. But the improvement loop doesn’t stop at the models themselves. We can also use our models and their ability to understand physics and give directional feedback to break down one of the biggest barriers to innovation: the reliance on lab experiments as a bottleneck in the improvement loop. As intelligence gets more abundant this bottleneck is only increasing in importance. Putting our models and their physical simulation capabilities in that loop instead and taking advantage of their directional feedback means we only need the lab all the way in the end to double check. Excited to see new inventions and discoveries this will unlock! #TIME100AI#

TIME100 AI 2026 — The 100 Most Influential People in Artificial Intelligence Cover honorees: 🧠 Sam Altman — OpenAI 🧠 Dario Amodei — Anthropic 🧠 Jeff Bezos 🧠 Doreen Bogdan-Martin — Secretary-General, International Telecommunication Union 🧠 Marian Croak 🧠 Larry Ellison — Oracle 🧠 Joseph Gordon-Levitt — actor, filmmaker 🧠 Paris Hilton 🧠 Lila Ibrahim 🧠 Arvind Krishna — IBM 🧠 Fei-Fei Li 🧠 Mira Murati — Thinking Machines Lab 🧠 Elon Musk — xAI 🧠 David Sacks 🧠 Liz Shuler — labor leader 🧠 Ilya Sutskever 🧠 Eddie Wu Also named on the list: 🧠 Mark Chen — OpenAI 🧠 Greg Brockman — OpenAI 🧠 Bernie Sanders — U.S. Senator 🧠 Yang Zhilin — Moonshot AI 🧠 Ben Affleck 🧠 Daniel Nadler — OpenEvidence 🧠 Vivek Raghavan — Sarvam AI 🧠 Utkarsh Saxena — Adalat AI 🧠 Sanjay Mehrotra — Micron Technology 🧠 Anima Anandkumar — Caltech 🧠 Arvind Raman — NIST 🧠 Suchi Saria — Bayesian Health 🧠 Sunny Gandhi — Encode 🧠 Meetali Jain — Tech Justice Law Project 🧠 Ravi Kumar S — Cognizant 🧠 Deng Taihua — AGIBOT 🧠 Alessandra Sala — Shutterstock Notably absent from this year's list: Jensen Huang, Mark Zuckerberg, Sundar Pichai, Satya Nadella, and Demis Hassabis. Published August 27, 2026. TIME's fourth annual list, divided into four categories: Leaders, Innovators, Shapers, and Thinkers. 📌 Source: TIME.

📢 The 2026 Time100 AI list of the worl’d most influential people in artificial intelligence is out! Congratulations to the NEA portfolio companies leaders honored this year: 💡 @alighodsi @databricks 💡 @drfeifei @theworldlabs 💡 @chelseabfinn @physical_int 💡 @ac_edwards_1 @cusp_ai 💡 Liang Mong Song, SMIC 📃: