OpenAI rolls out ‘ChatGPT for Teachers’ for K-12 educators and districts
ChatGPT for Teachers
Courtesy of OpenAI
OpenAI on Wednesday announced ChatGPT for Teachers, a version of its artificial intelligence chatbot that is designed for K-12 educators and school districts.
Educators can use ChatGPT for Teachers to securely work with student information, get personalized teaching support and collaborate with colleagues within their district, OpenAI said. There are also administrative controls that district leaders can use to determine how ChatGPT for Teachers will work within their communities.
OpenAI said it is initially launching ChatGPT for Teachers with a cohort of districts that represent roughly 150,000 educators. ChatGPT for Teachers will be free to K-12 educators in the U.S. through June 2027, the company said.
“Our objective here is to make sure that teachers have access to AI tools as well as a teacher-focused experience so they can truly guide AI use,” Leah Belsky, vice president of education at OpenAI, told reporters during a briefing.
The company said student data will be protected and that anything shared within ChatGPT for Teachers will not be used to train its models.
OpenAI rocketed into the mainstream following the launch of its generic ChatGPT chatbot in 2022. It’s faced criticism from teachers and parents who argue that students can use the tool to cheat and avoid engaging in critical thinking.
ChatGPT for Teachers is not intended for students, but OpenAI said giving teachers hands-on experience with AI tools will help them understand and establish best practices in their classrooms.
“Every student today is growing up with AI, and teachers play a central role in helping them learn how to use these tools responsibly and effectively,” the company said in a blog post. “To support that work, educators need space to explore AI for themselves.”
In July, OpenAI released a product within ChatGPT called “study mode.” Study mode was built with college-age students in mind, and it aims to help them work through problems step-by-step before they arrive at an answer.
OpenAI said it built study mode as “a first step in a longer journey to improve learning in ChatGPT.”
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Jensen Huang, chief executive officer of Nvidia Corp., during the US-Saudi Investment Forum at the Kennedy Center in Washington, DC, US, on Wednesday, Nov. 19, 2025.
Stefani Reynolds | Bloomberg | Getty Images
In the weeks leading up to Nvidia’s third-quarter earnings report, investors debated whether the markets were in an AI bubble, fretting over the massive sums being committed to building data centers and whether they could provide a long-term return on investment.
During Wednesday’s earnings call with analysts, Nvidia CEO Jensen Huang began his comments by rejecting that premise.
“There’s been a lot of talk about an AI bubble,” Huang said. “From our vantage point we see something very different.”
In many respects, Huang’s remarks are to be expected. He’s leading the company at the heart of the artificial intelligence boom, and has built its market cap to $4.5 trillion because of soaring demand for Nvidia’s graphics processing units.
Huang’s smackdown of bubble talk matters because Nvidia counts every major cloud provider — Amazon, Microsoft, Google, and Oracle — as a customer. Most of the major AI model developers, including OpenAI, Anthropic, xAI and Meta, are also big buyers of Nvidia GPUs.
Huang has deep visibility into the market, and on the call he offered a three-pronged argument for why we’re not in a bubble.
First, he said that areas like data processing, ad recommendations, search systems, and engineering, are turning to GPUs because they need the AI. That means older computing infrastructure based around the central processor will transition to new systems running on Nvidia’s chips.
Second, Huang said, AI isn’t just being integrated into current applications, but it will enable entirely new ones.
Finally, according to Huang, “agentic AI,” or applications that can run without significant input from the user, will be able to reason and plan, and will require even more computing power.
In making the case of Nvidia, Huang said it’s the only company that can address the three use cases.
“As you consider infrastructure investments, consider these three fundamental dynamics,” Huang said. “Each will contribute to infrastructure growth in the coming years.”
Reversing the slide
In its earnings release, Nvidia reported revenue and profit that sailed past estimates and issued better-than-expected guidance. Last month, Huang provided a $500 billion forecast for sales of the company’s AI chips over calendar 2025 and 2026.
The company said on Wednesday that its order backlog didn’t even include a few recent deals, like an agreement with Anthropic that was announced this week or the expansion of a deal with Saudi Arabia.
“The number will grow,” CFO Colette Kress said on the call, saying the company was on track to hit the forecast.
Prior to Wednesday’s results, Nvidia shares were down about 8% this month. Other stocks tied to the AI have gotten hit even harder, with CoreWeave plunging 44% in November, Oracle dropping 14% and Palantir falling 17%.
Some of the worry on Wall Street has been tied to the debt that certain companies have used to finance their infrastructure buildouts.
“Our customers’ financing is up to them,” Huang said.
Specific to Nvidia, investors have raised concerns in recent weeks about how much of the company’s sales were going to a small number of hyperscalers.
Last month, Microsoft, Meta, Amazon and Alphabet all lifted their forecasts for capital expenditures due to their AI buildouts, and now collectively expect to spend more than $380 billion this year.
Huang said that even without a new business model, Nvidia’s chips boost hyperscaler revenue, because they power recommendation systems for short videos, books, and ads.
People will soon start appreciating what’s happening underneath the surface of the AI boom, Huang said, versus “the simplistic view of what’s happening to capex and investment.”
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