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The American public as a whole remains on the fence with artificial intelligence, according to many polls, but in education, adoption among teachers and students is rapidly rising.

In a little over a year, the percentage of teachers who say they are familiar with ChatGPT — the breakthrough generative AI chatbot from Microsoft-backed OpenAI, which is next headed to the Apple iPhone — rose from 55% to 79%, while among K-12 students, it rose from 37% to 75%, according to a new poll conducted in May by Impact Research for the Walton Family Foundation, in conjunction with the Learning Engineering Virtual Institute‘s AI Lab.

When it comes to actual usage, a similar spike occurred, with 46% of teachers and 48% of students saying they use ChatGPT at least weekly, with student usage up 27 percentage points over last year.

Maybe most notable, the reviews from students are broadly positive. Seventy percent of K-12 students had a favorable view of AI chatbots. Among undergraduates, that rises to 75%. And among parents, 68% held favorable views of AI chatbots

“It is a lot more positive data than I expected,” said Ethan Mollick, professor at the University of Pennsylvania’s Wharton School, and an expert and author on AI who reviewed the polling data.

The polling data lines up with the experience of Khan Academy and its founder Sal Khan, who has been working with Newark, New Jersey’s school district, among others, to test the use of a customized ChatGPT for education, Khanmigo, over the past year. Khan recently told CNBC that its AI tool will expand from 65,000 students to one million students next year. It also recently announced that Microsoft is paying so that AI can be offered to teachers across the U.S. free of charge. (School districts pay per student for usage, which has recently been in the range of $35 per user, though Khan says as the technology scales, it will be possible to bring that price down to as low as a $10-$20 range.)

“Unlike most things in technology and education in the past where this is a ‘nice-to-have,’ I think this is a ‘must-have’ for a lot of teachers,” Khan, founder and CEO of Khan Academy, recently told CNBC’s “Squawk Box.”

While Khan Academy is best known for its educational videos, its interactive exercise platform was one which OpenAI’s top executives, Sam Altman and Greg Brockman, zeroed in on early when they were looking for a partner to pilot ChatGPT with that offered socially positive use cases.

The adoption rates in education are higher than currently occurring in the world of work, and it is students, who have a high incentive to get help, who are “dragging teachers along for the ride,” Mollick said.

In fact, teachers were the only demographic polled where year-over-year favorability declined, though a majority (59%) still have a positive view of AI chatbots.

Older teachers and parents (those over 45) were less likely to have confidence in their ability to use AI effectively, but Khan said one of the reasons why Microsoft and his nonprofit wanted to get AI access to every educator in the U.S. is because of the time its use is saving teachers.

Khan Academy CEO on how AI will change education

Khan recently told CNBC that often, in the past, teachers have been told “If only you learned this one extra thing …” and that becomes a burden for an already overworked educator. “Teachers are already spread thin. Especially with these teacher tools, it is one more thing to learn,” he said. But Khan’s research with school districts to date has saved teachers 5-10 hours per week. “This is the first time in the journey of tech that we can tell teachers, ‘This will be fewer things for you to do. Yes, there’s a little bit of a learning curve, but it will save you time.'”

Only 25% of teachers polled said they have received any training on AI chatbots, and roughly one-third (32%) say that lack of training and professional development are major reasons why they have not used AI. Teachers said they have used AI to generate ideas for classes (37%); for lesson plans and preparation of teaching materials (32%); for student worksheets or examples (32%); and to create quizzes or tests (31%).

Mollick described himself as bullish on AI in education over the long term, but in the short term, he said these results are relatively high compared to past polling related to the introduction of new technology. “I was sort of surprised to see the numbers look as good as they do. I was surprised by how positive the feelings were among every group,” he said. “It’s not universally loved, but we’re not seeing the strong negatives we usually see,” he said.

It is early. Khan noted in his recent CNBC interview that the prime directive should be to never put technology in front of the use case. He said there are cases over past the 15 years where school districts have been able to “pretty dramatically accelerate outcomes because of technology, but many other cases where they bought the iPads and laptops and they are collecting dust.”

The new data also indicates significant equity in AI usage in education. Minority groups are adopting AI for education at higher rates, including the teachers and parents who are using AI to help children. Black and Hispanic K-12 students and undergraduates were more likely to use AI for school. Among parents, 47% of those polled want AI chatbots to be used more in schools, compared to 36% who want it to be used less. Parental support for AI use in education is higher among Black (57%) and Hispanic parents (55%).

Mollick said it is too early to attempt to piece together the economic and equity data conclusively — private school students were the most likely to use AI both personally and at school — but he added it’s worth taking a deeper dive into the data to ask whether AI could be filling existing gaps in the school system. “Now people have access to an AI tutor and now they don’t have to pay for a tutor,” he said.

Khan said AI for the classroom is a scaling of the personalization that matches the founding story of his organization — when he personally provided tutoring to his cousin Nadia. AI could “get us that much closer to this ideal, in conjunction with everything else we’ve been doing over the years, of being able to emulate what a great tutor would do,” he recently told CNBC. “In my mind, it passes the Turing Test,” Khan said, referencing famed British mathematician and AI pioneer Alan Turing’s goal of computer intelligence being equal to human intelligence and humans being unable to identify one versus the other. “This is indistinguishable from when I went to text Nadia back in 2004.”

AI and cheating

The results pose plenty of questions for educators and parents.

The value of in-class lectures is uncertain when a student can get all of the information from an AI, Mollick said, but the accuracy of an AI compared to a teacher, while generally good, remains an open question. “We need to be cautious about leaping all the way in,” he said.

Nearly 20% of teachers polled said ChatGPT had a negative impact, up from 7% last year.

There is no way to discuss AI in education without including its use in cheating, even though online cheating is nothing new. “Students are highly incentivized to cheat,” Mollick said, with too much work to do and not enough time to complete it. Historically, homework has been proven to increase student grades, but since the rise of online cheating, that link has deteriorated and AI could further degrade the value of homework.

K-12 students polled said they are most likely to have used AI chatbots to write essays and other assignments (56%), followed by studying for tests and quizzes (52%). 

Khan recently told CNBC that the way its gen AI tutoring system works is to keep a student within its walls, so to speak, while, for example, writing an essay, and the AI is able to identify whether progress in the work can be attributed to the student, and flag to the teacher any sign of cheating.

New monitoring systems will present their own set of issues, Mollick said — and new ways for students to figure out how to get around the checks.

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How TikTok’s rise sparked a short-form video race

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How TikTok’s rise sparked a short-form video race

TikTok’s grip on the short-form video market is tightening, and the world’s biggest tech platforms are racing to catch up.

Since launching globally in 2016, ByteDance-owned TikTok has amassed over 1.12 billion monthly active users worldwide, according to Backlinko. American users spend an average of 108 minutes per day on the app, according to Apptoptia.

TikTok’s success has reshaped the social media landscape, forcing competitors like Meta and Google to pivot their strategies around short-form video. But so far, experts say that none have matched TikTok’s algorithmic precision.

“It is the center of the internet for young people,” said Jasmine Enberg, vice president and principal analyst at Emarketer. “It’s where they go for entertainment, news, trends, even shopping. TikTok sets the tone for everyone else.”

Platforms like Meta‘s Instagram Reels and Google’s YouTube Shorts have expanded aggressively, launching new features, creator tools and even considering separate apps just to compete. Microsoft-owned LinkedIn, traditionally a professional networking site, is the latest to experiment with TikTok-style feeds. But with TikTok continuing to evolve, adding features like e-commerce integrations and longer videos, the question remains whether rivals can keep up.

“I’m scrolling every single day. I doom scroll all the time,” said TikTok content creator Alyssa McKay.

But there may a dark side to this growth.

As short-form content consumption soars, experts warn about shrinking attention spans and rising mental-health concerns, particularly among younger users. Researchers like Dr. Yann Poncin, associate professor at the Child Study Center at Yale University, point to disrupted sleep patterns and increased anxiety levels tied to endless scrolling habits.

“Infinite scrolling and short-form video are designed to capture your attention in short bursts,” Dr. Poncin said. “In the past, entertainment was about taking you on a journey through a show or story. Now, it’s about locking you in for just a few seconds, just enough to feed you the next thing the algorithm knows you’ll like.”

Despite sky-high engagement, monetizing short videos remains an uphill battle. Unlike long-form YouTube content, where ads can be inserted throughout, short clips offer limited space for advertisers. Creators, too, are feeling the squeeze.

“It’s never been easier to go viral,” said Enberg. “But it’s never been harder to turn that virality into a sustainable business.”

Last year, TikTok generated an estimated $23.6 billion in ad revenues, according to Oberlo, but even with this growth, many creators still make just a few dollars per million views. YouTube Shorts pays roughly four cents per 1,000 views, which is less than its long-form counterpart. Meanwhile, Instagram has leaned into brand partnerships and emerging tools like “Trial Reels,” which allow creators to experiment with content by initially sharing videos only with non-followers, giving them a low-risk way to test new formats or ideas before deciding whether to share with their full audience. But Meta told CNBC that monetizing Reels remains a work in progress.

While lawmakers scrutinize TikTok’s Chinese ownership and explore potential bans, competitors see a window of opportunity. Meta and YouTube are poised to capture up to 50% of reallocated ad dollars if TikTok faces restrictions in the U.S., according to eMarketer.

Watch the video to understand how TikTok’s rise sparked a short form video race.

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Elon Musk’s xAI Holdings in talks to raise $20 billion, Bloomberg News reports

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Elon Musk's xAI Holdings in talks to raise  billion, Bloomberg News reports

The X logo appears on a phone, and the xAI logo is displayed on a laptop in Krakow, Poland, on April 1, 2025. (Photo by Klaudia Radecka/NurPhoto via Getty Images)

Nurphoto | Nurphoto | Getty Images

Elon Musk‘s xAI Holdings is in discussions with investors to raise about $20 billion, Bloomberg News reported Friday, citing people familiar with the matter.

The funding would value the company at over $120 billion, according to the report.

Musk was looking to assign “proper value” to xAI, sources told CNBC’s David Faber earlier this month. The remarks were made during a call with xAI investors, sources familiar with the matter told Faber. The Tesla CEO at that time didn’t explicitly mention any upcoming funding round, but the sources suggested xAI was preparing for a substantial capital raise in the near future.

The funding amount could be more than $20 billion as the exact figure had not been decided, the Bloomberg report added.

Artificial intelligence startup xAI didn’t immediately respond to a CNBC request for comment outside of U.S. business hours.

Faber Report: Elon Musk held call with current xAI investors, sources say

The AI firm last month acquired X in an all-stock deal that valued xAI at $80 billion and the social media platform at $33 billion.

“xAI and X’s futures are intertwined. Today, we officially take the step to combine the data, models, compute, distribution and talent,” Musk said on X, announcing the deal. “This combination will unlock immense potential by blending xAI’s advanced AI capability and expertise with X’s massive reach.”

Read the full Bloomberg story here.

— CNBC’s Samantha Subin contributed to this report.

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Alphabet jumps 3% as search, advertising units show resilient growth

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Alphabet jumps 3% as search, advertising units show resilient growth

Alphabet CEO Sundar Pichai during the Google I/O developers conference in Mountain View, California, on May 10, 2023.

David Paul Morris | Bloomberg | Getty Images

Alphabet‘s stock gained 3% Friday after signaling strong growth in its search and advertising businesses amid a competitive artificial intelligence environment and uncertain macro backdrop.

GOOGL‘s pace of GenAI product roll-out is accelerating with multiple encouraging signals,” wrote Morgan Stanley‘s Brian Nowak. “Macro uncertainty still exists but we remain [overweight] given GOOGL’s still strong relative position and improving pace of GenAI enabled product roll-out.”

The search giant posted earnings of $2.81 per share on $90.23 billion in revenues. That topped the $89.12 billion in sales and $2.01 in EPS expected by LSEG analysts. Revenues grew 12% year-over-year and ahead of the 10% anticipated by Wall Street.

Net income rose 46% to $34.54 billion, or $2.81 per share. That’s up from $23.66 billion, or $1.89 per share, in the year-ago period. Alphabet said the figure included $8 billion in unrealized gains on its nonmarketable equity securities connected to its investment in a private company.

Adjusted earnings, excluding that gain, were $2.27 per share, according to LSEG, and topped analyst expectations.

Read more CNBC tech news

Alphabet shares have pulled back about 16% this year as it battles volatility spurred by mounting trade war fears and worries that President Donald Trump‘s tariffs could crush the global economy. That would make it more difficult for Alphabet to potentially acquire infrastructure for data centers powering AI models as it faces off against competitors such as OpenAI and Anthropic to develop largely language models.

During Thursday’s call with investors, Alphabet suggested that it’s too soon to tally the total impact of tariffs. However, Google’s business chief Philipp Schindler said that ending the de minimis trade exemption in May, which created a loophole benefitting many Chinese e-commerce retailers, could create a “slight headwind” for the company’s ads business, specifically in the Asia-Pacific region. The loophole allows shipments under $800 to come into the U.S. duty-free.

Despite this backdrop, Alphabet showed steady growth in its advertising and search business, reporting $66.89 billion in revenues for its advertising unit. That reflected 8.5% growth from the year-ago period. The company reported $8.93 billion in advertising revenue for its YouTube business, shy of an $8.97 billion estimate from StreetAccount.

Alphabet’s “Search and other” unit rose 9.8% to $50.7 billion, up from $46.16 billion last year. The company said that its AI Overviews tool used in its Google search results page has accumulated 1.5 billion monthly users from a billion in October.

Bank of America analyst Justin Post said that Wall Street is underestimating the upside potential and “monetization ramp” from this tool and cloud demand fueled by AI.

“The strong 1Q search performance, along with constructive comments on Gemini [large language model] performance and [AI Overviews] adoption could help alleviate some investor concerns on AI competition,” Post wrote in a note.

WATCH: Gemini delivering well for Google, says Check Capital’s Chris Ballard

Gemini delivering well for Google, says Check Capital's Chris Ballard

CNBC’s Jennifer Elias contributed to this report.

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