OpenAI Global Affairs

A Defining Moment for AI in Mississippi What an incredible day. The Mississippi Artificial Intelligence Network (MAIN) took a major step forward by hosting its first hands-on ChatGPT workshop in partnership with OpenAI Academy. Nearly 500 participants gathered at Jackson State University, a proud MAIN partner, for a day of learning, connection, and innovation. This was more than an event. It was a powerful demonstration of what’s possible when vision, partnership, and purpose align to shape the future. Thank you to Jackson State University for the outstanding hospitality. MAIN is especially grateful to Dr. Almesha L. Campbell, Ph.D., RTTP, HonNAI for her leadership and to the dedicated teams across campus who made this day a success. To the OpenAI Academy team, including Nicole Carter, Alex Nawar, Jane Kim, David Sperry, and many others, thank you for traveling to Mississippi and engaging directly with our educators, workforce leaders, and government partners. Your presence elevated the energy in the room and left a lasting impact. Most of all, thank you to everyone who attended. You came from every corner of the state, representing education, government, and industry. Your presence showed the strength of a united effort to advance AI readiness across Mississippi. This workshop was more than a milestone. It signaled that Mississippi is not waiting on the future. We are building it. MAIN is proud to lead this charge by connecting people, sparking innovation, and expanding opportunity. Today was a tremendous step forward, and it is only the beginning. MAIN looks forward to bringing more events like this to communities across Mississippi. #MAIN #Mississippi #MississippiAI #MississippiAINetwork #OpenAI #OpenAIAcademy #ChatGPT #Education #Government #Workforce

We are all keeping our finger on the pulse of what the future of work will look like in this era of AI. The OpenAI Forum's Future of Work series aims to bring the world alongside us in these explorations led by leading economists. Join us for a seat at the table. Today at 12pm PT, join Aaron "Ronnie" Chatterji and one of his friends and early mentors, Professor Joseph Fuller for a lunchtime discussion followed by live Q&A with Aaron "Ronnie" Chatterji, OpenAI's Chief Economist.  “Some doors will open, some doors will be closed, new opportunities that we can never imagine will be created. For students graduating, that can be scary, confusing, potentially exciting. But maybe the best we can do as researchers is give them the information they need to make those decisions about where to allocate their skills and talents.” - Professor Fuller Cassandra Duchan SolisElizabeth Wilner Mattie Zazueta Jane Hratko Jane Kim Caitlin Maltbie Zoë Hitzig Carl S. Karin Kimbrough Tom Cunningham Alex Nawar Mark Murray Karin Kimbrough 🎬 Join us here today: https://lnkd.in/gXFiHDSV

A month out from the start of the fall semester, TrueDot poll findings (June 10-19, 1,339 current college students, +/- 3.1%) offer a look at how college students in the US are using and thinking about AI. The numbers are big: 75% say they’ve used ChatGPT for schoolwork; 40% say they frequently use it; and a whopping 97% of those who have used it say they find it useful, including 68% who say it’s “very useful.” So the adoption is already there. But the survey also highlights the AI challenges these students face, as well as what worries them about AI use in class. Two-thirds (66%) want higher education to set clear boundaries on when and whether AI can/cannot be used; another 42% want institutions to embrace AI and teach responsible use. And 8 in 10 have concerns about plagiarism, AI producing misinformation and incorrect information, and instructors generating their assignments with AI. For more on these findings -- and much, much more -- check out (and subscribe to) our The Prompt newsletter: https://lnkd.in/ewfjjjRx

Advances in AI have raised questions about the future of work, especially in software engineering. But we follow the data, and at least so far, the data tells a different story. That story is of AI not replacing developers, but helping them do more, faster. Across the software development lifecycle, AI is unlocking significant productivity gains. At the same time, what we’re seeing at OpenAI is that the world wants much more software. From streamlining the debugging process with AI-powered forensics, to accelerating architectural planning through intelligent code comprehension, to automating repetitive tasks through code generation—developers are leveraging these tools to reach new levels of efficiency. The result? A productivity dividend that spans junior engineers to seasoned architects, benefiting organizations both large and small. These gains aren’t theoretical. Studies from the past two years show measurable improvements: a 30% reduction in debugging time, 55% faster task completion, and an 84% increase in successful builds. Scaled across the industry, these gains could translate into a meaningful increase in global GDP as new products launch faster, new companies are born, and demand is met with better software solutions. Strategic AI adoption isn’t just good for developers—it’s good for business and the economy. For more on how AI is boosting productivity and efficiency in software engineering, check out our latest The Prompt newsletter: https://lnkd.in/ewfjjjRx

ChatGPT is helping the Colorado Blueprint to End Hunger make sure every community gets the food it needs. Language barriers have kept Spanish-speakers from fully accessing this nonprofit’s life-saving support services. Now, AI is helping to change that — and ensure that no one goes hungry simply because of the language they speak. The Colorado Blueprint was one of the participants at OpenAI’s first Nonprofit Jam, where 1,000 nonprofit leaders at 10 sites across the country learned how to use AI to better serve their communities. The Denver-based Colorado Blueprint works with public agencies, nonprofits, and health workers to help people throughout the state put food on the table. Many of those seeking assistance are from immigrant and farmworker communities where Spanish is the primary language. “Before AI, Spanish speakers on our calls often felt like observers, not participants,” says Joël McClurg, the Colorado Blueprint’s Executive Director of Systems. “Now they can weigh in, ask questions, and contribute in real time.” The nonprofit uses ChatGPT to draft bilingual materials, giving their interpreter a head start so she can focus on refining tone and cultural nuance. They’ve extended this capability to translate key documents into Tagalog, Russian, Chinese, French, and more. The result is faster communication, better collaboration, and more voices shaping the conversation. One of the biggest game-changers has been simplifying complex policy topics like the Supplemental Nutrition Assistance Program (SNAP), commonly known as food stamps. Eligibility rules can be tricky, but ChatGPT helps rewrite them into plain, clear language. As Joël explains, “ChatGPT makes it easier for families to quickly understand what assistance they qualify for, without wading through confusing legal jargon.” With faster translations, clearer information, and more inclusive meetings, ChatGPT is freeing Joël and his colleagues at the Colorado Blueprint to focus on what truly matters: ensuring no one in the state goes hungry. See here for more on OpenAI’s Nonprofit Jam: https://lnkd.in/eEjRy4tz

In front of an online audience of thousands last Thursday, OpenAI’s head recruiter, Joaquin Quiñonero Candela, described one of the common threads that draws talent to the company: OpenAI’s culture. “We’re a culture of doers who do things – with autonomy, with agency,” he said at the OpenAI Forum. “There’s no sitting around asking for permission.” Joaquin also mentioned how OpenAI’s mission is attractive to candidates. “We’re building AGI, and we’re bringing it to humanity in a way that’s responsible and beneficial.” And he explained how it’s the people at OpenAI who draw talent to the company. “We often say good people draw good people. And people want to work with like-minded people … people who, you know, want to jump into the deep-end and into the unknown.” Joaquin’s comments came during an hourlong conversation at the OpenForum titled: “Careers at the Frontier: Hiring the Future at OpenAI,” where he discussed his own career trajectory – stints at Facebook and LinkedIn before coming to OpenAI to work on AI safety and even a three-month turn as an intern on the company’s health team. Joaquin’s current role at OpenAI is Head of Recruiting, and he explained why he made the move to the post. “Although OpenAI is about 10 years old, in many ways we’re only getting started now. I feel like we’re at the beginning of building a company that is probably going to be generational,” he said. “It became a no-brainer.”  When Natalie Cone, who was moderating the conversation as head of the OpenAI Forum Community, asked him what a typical day looks like for his recruiting team, Joaquin replied, “Oh, a typical day is crazy.” He explained: “We have a constantly changing environment. The goals are always changing. We can’t really predict what products would be shipping long term, because the models keep getting more capable. It’s very hard, then, to know how much do different teams need to grow.” Approximately 11,000 guests registered for this online discussion – more than any other previous OpenAI Forum event. 

How many overall jobs have data centers actually created? And who gets them? According to the US Census Bureau, US data center employment has grown by more than 60% in the last several years – from roughly 300,000 workers in 2016 to over 500,000 in 2023. The average salary for these half million data-center workers is over $110,000. But there’s variation in the states that have seen the most data-center growth, with states like Arkansas, Alabama and Maine seeing the largest percentage growth since 2016, while other states (like Rhode Island, Delaware and Nebraska) have decreased. And while many think only of software engineers and project managers when they think of data, most of the employment impact from data centers—91% of it—comes during construction, and includes technicians, electricians, and security personnel. This is from our The Prompt newsletter. For more on this -- and much more -- check out (and subscribe to) The Prompt: https://lnkd.in/eUdQTqMn

Last week we announced an initial $50 million fund to support frontline and mission-based organizations that are providing important services to our communities, often with limited resources. This announcement builds on the energy of last week’s OpenAI Nonprofit Jam, where 1,000 nonprofit leaders across 10 U.S. cities came together to experiment with AI and build tools for their missions. It also followed the release of an OpenAI Nonprofit Commission report, which called for immediate resources to support nonprofits exploring how AI can scale their impact and foster innovation in areas such as education, economic opportunity, community organizing and healthcare. We believe many of the answers to how our tools can best help communities lie within the communities themselves. This is just the start and we look forward to sharing more soon. Learn more here: https://lnkd.in/gtT8hzkh

“A great first step.” “Extremely encouraging.” “We’re excited.” That’s how North Carolina State Treasurer Bradford B. Briner described his department’s 12-week pilot program with OpenAI, under which workers in North Carolina’s Department of State Treasurer were trained to use ChatGPT to help them speed up audit reviews and retrieve unclaimed property – all using public information. Preliminary findings from a forthcoming analysis of the pilot program show that 85% of the participants reported a positive experience using ChatGPT, and that users estimated saving 30 to 60 minutes a day, especially on drafting and editing tasks. The full analysis, from the Institute for Artificial Intelligence and Emerging Research at North Carolina Central University, will be released in the coming weeks. “The reality is it’s going to make your job better,” Briner says of AI. “It’s going to take away some of the low-end data processing. It’s going to help you deliver more. It’s probably going to make you busier, too.” OpenAI and the North Carolina Department of State Treasurer launched this pilot program in March, and it included weekly ChatGPT training programs with employees to help them better learn how to use OpenAI’s tools. Here were some of the testimonials from the participants in the pilot program: “It’s rewarding when ChatGPT produces results that enable you to succeed in your job of serving the citizens of N.C. in a more efficient manner.” “ChatGPT makes my job more enjoyable because I experience less frustration when problem solving.” “When researching topics, ChatGPT provides data from multiple sources simultaneously, resulting in increased efficiency.” For more on this pilot program, read this analysis from North Carolina’s Department of State Treasurer: https://lnkd.in/e_AT4nKD 

Over half a billion people around the world actively use OpenAI’s AI tools, especially our freely available ChatGPT. They send more than 2.5 billion messages to the platform per day – including more than 330 million per day in the US. This breadth of use offers a unique window onto AI’s impacts on the economy. ChatGPT has saved teachers nearly six hours per week on tasks; saved state workers in Pennsylvania an average of 95 minutes a day on rote tasks so they can deliver better services; and enabled entrepreneurs to build new companies and start-ups.  Today, OpenAI is releasing our first look at how our tools like ChatGPT have boosted productivity for workers across businesses and governments – and how that’s already creating value. The note is authored by OpenAI Chief Economist Ronnie Chatterji and the OpenAI Economic Research team. We’re also announcing today that Chatterji, along with Jason Furman of Harvard University and Michael Strain of the American Enterprise Institute and Georgetown University, are undertaking a 12-month collaboration to assess AI’s impact on productivity and the workforce. Together, they will develop a research agenda and metrics to analyze AI’s effect on jobs, an effort that will be housed in the new OpenAI Workshop in Washington, DC, along with trainings, demos, and other programming for key economic stakeholders. ChatGPT is the fastest-adopted consumer technology in history, reaching 1 million users in five days, 100 million users in two months, and over 500 million users today. Since launch, we have seen a dramatic increase in use of ChatGPT for work. Today, 28% of employed US adults who have ever used ChatGPT report using ChatGPT at work, compared to just 8% in 2023. Throughout history, certain technologies have fundamentally changed what people can achieve – the wheel, the engine, electricity, the transistor. AI is a similar transformative technology. At its core, AI is helping people scale their ability to think, learn, create, and build. It’s scaling human ingenuity itself. As these systems improve, the economic benefits are expected to be significant. Economists differ in their projections for how AI will impact productivity, but even at the lower end, AI will expand the economic pie. The most pressing questions are: how will that expansion unfold, and who gets what slice? The choices we make today will shape whether this transformation leads to greater opportunity for all, or greater concentration of wealth and power for the few. At OpenAI, we want everyone to be on the “up elevator” of AI. You can read our first look at ChatGPT-driven productivity here: https://lnkd.in/echYD43X