OpenAI Global Affairs

The San Antonio Spurs Community Impact organization, OpenAI Academy and the Positive Coaching Alliance teamed up to bring together coaches, parents, and community leaders on Sunday to explore how AI can support learning, coaching, and youth engagement—on and off the court. A central theme was the role of trusted adults. Parent-coaches help bridge the gap between emerging technologies and everyday use, translating AI into practical guidance. Strengthening AI literacy among parents and mentors is increasingly tied to online safety, equipping young people with the context and support to engage responsibly. This collaboration reflects a broader approach: partnering with institutions that shape culture and community at scale. As AI adoption accelerates, efforts like this point to a more distributed model of readiness where families and local leaders play a defining role in ensuring these technologies are used thoughtfully and safely. 🎥 Hear from some of the parent-coaches in attendance below. Spurs Sports & Entertainment Positive Coaching Alliance Charlie Kurian Jodie McGarity Jr.

Today in Bangkok, OpenAI brought together 50 disaster management leaders from 13 countries across Southeast and South Asia for its first AI Jam for Disaster Management professionals, with the Gates Foundation, the Asian Disaster Preparedness Center, and DataKind. Participants included government agencies, multilateral organizations, and nonprofits doing disaster-response work on the ground. Disaster teams across the region often work with fragmented data, manual processes, and limited infrastructure while making time-critical decisions. Asia is the world’s most disaster-prone region and accounts for an estimated 75% of people affected by disasters globally. In Bangkok, participants worked with OpenAI mentors to build reusable AI workflows and assistants for situation reporting, needs assessment, and public communication, with tools designed to transfer across different emergency scenarios. OpenAI’s internal data indicates  this shift is already underway. During Cyclone Ditwah in Sri Lanka, cyclone-related ChatGPT messages rose 17X. During Cyclone Senyar in Thailand in November 2025, message volume rose 3.2X compared with prior months, suggesting people are already turning to AI for information and guidance during crises. Today’s workshop builds on the expansion of OpenAI for Countries announced at Davos, and OpenAI and its partners are exploring a second phase focused on pilot deployments and deeper technical collaboration across the region. Read more about the event here: https://lnkd.in/eT34kYpV

AI is beginning to reshape how high-performance, data-intensive industries operate in real time, including behind the wheel in NASCAR. We’ll explore that in the OpenAI Forum on April 8th. Join us for The AI Pit Crew, where Richard Bowman and Derek Thomas will take us inside NASCAR to see how it's operationalizing AI across analytics and racing operations. Plus, they'll share a demo from their team showing how AI accelerates their work. Rather than focusing on automating repetitive tasks, NASCAR is shifting toward reducing friction across the entire track and building an internal AI operating system that helps teams move faster, safely, and at scale. 🗓 Watch Wednesday, April 8 ⏰ 4–5pm PT 🌐 Virtual 👉 Register here: https://lnkd.in/eYtZ7MPz 

Newsrooms have long been reshaped by new technologies. Today, AI is raising new questions about how to use it to empower individual journalists while strengthening the business side of media organizations and allowing reporters to move even faster. Next week on April 2nd we’re replaying a conversation from our OpenAI Forum that brought together leaders across journalism and media innovation for a detailed discussion of  how AI is being used inside news organizations today, as well as a roadmap for how to better integrate it going forward. The replay features: Kayla Tausche (Moderator) Jim VandeHei of Axios Sarabeth Berman of the American Journalism Project Shira T. Center of Boston Globe Media Partners We’ll follow it with a live-streamed demo of tools Evan Hirsch built for NBC News, including ways to quickly report out legal documents and copy edit TV scripts. This work isn't about replacing journalists. It's about making sure journalists everywhere know how to use these tools to strengthen their reporting and to allow news organizations to better serve the public interest. Watch the clip below to hear more from our panelists and register to join us April 2nd at 10am ET here: https://lnkd.in/eh3eBMqE

Preparing workers for an AI-driven economy will require strong connections between people, skills, and new opportunities. That was a clear takeaway from our first OpenAI Participation Economy Forum, which brought together government, labor and workforce leaders to explore how AI is reshaping work and what it will take to ensure that transformation benefits everyone. We were grateful to hear from U.S. Department of Labor Deputy Secretary Keith Sonderling, North America's Building Trades Unions President Sean McGarvey, American Federation of Teachers President Randi Weingarten, and Gallup’s Vipula Gandhi. They shared their perspective on the urgency of this moment and the need for strong partnerships across industry, labor, and government and sustained investment in skills, training, and pathways into new opportunities. AI can expand opportunity and increase productivity across sectors, but realizing that potential will require coordination, intention, and ambition. You can watch the conversations in the OpenAI Forum: https://lnkd.in/eP9EXPjd

Veterans are stepping into an economy already being reshaped by AI. That’s why the OpenAI Academy brought together nearly 100 veterans and transitioning service members in Reston, Virginia, for a pilot workshop focused on a practical question: how can AI help people navigate career transition and work more effectively? The early feedback was encouraging. In our post-event survey, close to every respondent said they left with an example or workflow they can use in their job search or at work, and participants rated the workshop 9.6 out of 10 on average when asked how likely they would be to recommend it to another veteran. We’re grateful to The AI Collective • Hampton Roads, Erin Marie, Andrew S., Ted P., Carahsoft, and Veterans Forge for helping make the day possible. This is the kind of collaboration that matters in the AI era: practical, skills-based, and focused on expanding access to opportunity.

Adam Schlosser is general counsel at the online fashion marketplace Poshmark, and ChatGPT helps him juggle multiple tasks: first-pass researcher, legal-issue spotter, and interpreter of dense regulations into practical guidance for the business. But when Schlosser first got access to ChatGPT through an early enterprise rollout, the tool felt more like a novelty than a lawyer. Poshmark’s leadership wanted the company to explore AI to improve internal workflows around 2023 and 2024, and Schlosser was among the first internal users in that pilot. Early on, he found obvious holes, weak sourcing, and output that did not meet a legal standard. Then, in summer last year, something changed. Whether because the model improved, because it had learned his patterns, or because he built a private repository of key legal documents, ChatGPT began to understand Poshmark as a marketplace business and started answering in the frame he actually needed. By September 2025, it had become a tool he used daily, his first line of research. Schlosser says ChatGPT helps him cover tasks with a depth he otherwise would not have the time to do. He uses it first to flag issues and calibrate. When a new feature, product change, law, or headline appears, he asks how serious the issue is, which laws and regulations matter, how state rules differ, and comparisons for Canada. It is especially useful on established law and state-by-state comparisons, such as privacy rules where wording differences can change compliance obligations. He also uses it on the process side. He can dump everything he knows about an issue, then ask for a one pager for the CEO, a memo for leadership, or a chart for the CFO. He also uses it to vet outside advice, asking what consultants may have missed and what other questions he should be asking them. Schlosser gets the best results by treating ChatGPT like a junior associate who needs direction. He knows when to drill down, ask for exceptions, demand the actual regulation, and insist on exact wording. Sometimes he feeds in the full issue and asks ChatGPT to write the best prompt for itself, which he re-enters. But that only works because he brings his knowledge and experience. For Schlosser, practicing the law means reading its source code. Legal text is loaded with  intentional choices where words like “shall” and “may,” as well as the difference between “and” and “or,” can change the level of obligation for companies. Long passages are packed with qualifiers, exceptions, and terms of art that look ordinary to a lay reader but carry different meanings for a lawyer. ChatGPT accelerates the search and synthesis of that text, especially on settled questions. Schlosser says lawyers still need to read the regulation itself, understand the exceptions, and make the judgment call.

OpenAI partnered with the University of Michigan Institute for Social Research on some questions in its latest survey (Feb. 1-28) on how workers plan to deal with AI affecting their job, one way or the other. The results suggest that workers expect to stay in the labor market rather than leave it to pursue more education – meaning that for policymakers, employers and educators, meeting workers where they are on increasing their AI literacy means providing that training at the workplace. Nearly 3 in 5 workers who believe that AI will affect their job, either positively or negatively, say they would respond by picking up new professional skills. By comparison, 24% say they would change how they plan financially; 19% say they would change careers; and 13% say they would start a business. Only 10% say they would go back to school. For more on the results of this survey, check out our latest The Prompt newsletter: https://lnkd.in/egGxnDrZ

At yesterday’s OpenAI Forum event, GitLab co-founder Sid Sijbrandij and geneticist Jacob Stern explained how they used AI as a research partner in the fight against Sid’s rare form of bone cancer. When standard care and trial options ran out, Sid said he went “founder mode” on his cancer, gathering every diagnostic signal he could, from imaging and blood tests to single-cell sequencing, then using ChatGPT to help synthesize the data, review literature, surface patterns, sharpen the next questions for specialists, and coordinate care. Jacob described ChatGPT as a way to get up to speed across unfamiliar domains, interpret large biological datasets faster, and become a more effective counterpart to the experts working on Sid’s case. They described a fast-moving process to attack the cancer, gather data, analyze it, and attack it again. Sid and Stern use AI to help evaluate treatment after treatment against the biology of Sid’s specific tumor, including targeted radioactive therapy, a personalized mRNA vaccine, and engineered cell therapies. Throughout the conversation, AI stayed in a supporting role, helping compress the time it took to move from new data through new hypotheses to new actions while responding to a disease that was evolving quickly. The outcome is hopeful: after targeted radioactive treatment and surgery, Sid said there is currently no evidence of disease in his body. The broader message was that AI may help bring highly personalized, patient-centered medicine to many people over time. Watch the recording of the event here: https://lnkd.in/enpsKjKj