AI Research
Independent Stanford Research Shows SchoolAI Drives Consistent and Deep Teacher Adoption of AI Tools

Independent research from Stanford University’s SCALE Initiative finds over 40% of new K-12 teachers become enthusiastic users within 90 days
LEHI, Utah, Aug. 12, 2025 (GLOBE NEWSWIRE) — Independent research from Stanford University’s SCALE (Stanford Center for Assessment, Learning, and Equity) Initiative has found that K-12 teachers adopt SchoolAI, a comprehensive classroom AI platform, at significant rates, underscoring AI’s power to enhance teacher success and student engagement.
A recent SCALE study analyzed more than 9,000 teachers brand new to the platform over a 90-day period and found strong signals of value:
- Over 50% used SchoolAI for 5+ days in their first 90 days
- 42% became Regular or Power Users (8+ days of active use)
- Teachers consistently engaged across all tool categories: student learning spaces, productivity tools, and AI assistants
- Power Users spent more than 50% of their initial time using AI teacher assistants
These findings mark one of the most thorough third-party examinations of how educators are engaging with AI-powered platforms in practice rather than in theory.
“This research confirms what we see every day. Teachers are ready to use AI because it helps deliver positive student outcomes,” said Nate Sanders, Chief Experience Officer at SchoolAI. “Because SchoolAI can help tailor learning and keep students engaged, educators want to lean in with it. Our job is to make AI a safe, reliable, and empowering partner in the classroom, so that every student benefits and every teacher feels confident.”
The SCALE Initiative’s findings also highlight the breadth of teacher adoption. SchoolAI users didn’t just stick to one part of the platform but actively explored the full range of its features: student learning spaces, productivity tools, and classroom-ready AI assistants. This shows the potential for AI to be integrated in multiple aspects of teaching and learning.
SchoolAI has built its platform around two core pillars: student success and teacher support. Features like quick “bell ringer” check-ins, “exit tickets,” and AI-powered writing and research assistants are designed to give educators real-time insights and personalized support for students. Trusted in over 1 million classrooms across the U.S. and 80+ countries, SchoolAI has used findings from the SCALE study to build SchoolAI 2.0, a sweeping update to its platform that includes simplified features, new interactive tools that promote immersive learning, and an enhanced teacher toolkit.
About SchoolAI
SchoolAI is a leading AI platform transforming teaching and learning across K-12 and higher education. Founded in 2021 on the belief that every student deserves personalized attention, SchoolAI provides powerful AI tools that help teachers understand and support each student’s unique needs. The platform combines adaptive AI tutors, interactive games, and customized lessons that adapt to individual learning styles, while giving educators real-time insights and reducing administrative workload. Launched for classrooms in August of 2023, SchoolAI is trusted by educators in more than 1 million classrooms across all 50 U.S. states and over 80 countries. Their Classroom Experience platform maintains the highest standards for student privacy and security with full FERPA and COPPA compliance and SOC 2 certification. SchoolAI continues to lead responsible AI adoption in education by partnering directly with districts to ensure safe, effective implementation that enhances rather than replaces quality instruction.
Visit https://schoolai.com to learn more.
CONTACT: Media Contact:
Gena Ritter
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AI Research
OpenAI business to burn $115 billion through 2029 The Information

OpenAI CEO Sam Altman walks on the day of a meeting of the White House Task Force on Artificial Intelligence (AI) Education in the East Room at the White House in Washington, D.C., U.S., September 4, 2025.
Brian Snyder | Reuters
OpenAI has sharply raised its projected cash burn through 2029 to $115 billion as it ramps up spending to power the artificial intelligence behind its popular ChatGPT chatbot, The Information reported on Friday.
The new forecast is $80 billion higher than the company previously expected, the news outlet said, without citing a source for the report.
OpenAI, which has become one of the world’s biggest renters of cloud servers, projects it will burn more than $8 billion this year, some $1.5 billion higher than its projection from earlier this year, the report said.
The company did not immediately respond to Reuters request for comment.
To control its soaring costs, OpenAI will seek to develop its own data center server chips and facilities to power its technology, The Information said.
OpenAI is set to produce its first artificial intelligence chip next year in partnership with U.S. semiconductor giant Broadcom, the Financial Times reported on Thursday, saying OpenAI plans to use the chip internally rather than make it available to customers.
The company deepened its tie-up with Oracle in July with a planned 4.5-gigawatts of data center capacity, building on its Stargate initiative, a project of up to $500 billion and 10 gigawatts that includes Japanese technology investor SoftBank. OpenAI has also added Alphabet’s Google Cloud among its suppliers for computing capacity.
The company’s cash burn will more than double to over $17 billion next year, $10 billion higher than OpenAI’s earlier projection, with a burn of $35 billion in 2027 and $45 billion in 2028, The Information said.
AI Research
Who is Shawn Shen? The Cambridge alumnus and ex-Meta scientist offering $2M to poach AI researchers

Shawn Shen, co-founder and Chief Executive Officer of the artificial intelligence (AI) startup Memories.ai, has made headlines for offering compensation packages worth up to $2 million to attract researchers from top technology companies. In a recent interview with Business Insider, Shen explained that many scientists are leaving Meta, the parent company of Facebook, due to constant reorganisations and shifting priorities.“Meta is constantly doing reorganizations. Your manager and your goals can change every few months. For some researchers, it can be really frustrating and feel like a waste of time,” Shen told Business Insider, adding that this is a key reason why researchers are seeking roles at startups. He also cited Meta Chief Executive Officer Mark Zuckerberg’s philosophy that “the biggest risk is not taking any risks” as a motivation for his own move into entrepreneurship.With Memories.ai, a company developing AI capable of understanding and remembering visual data, Shen is aiming to build a niche team of elite researchers. His company has already recruited Chi-Hao Wu, a former Meta research scientist, as Chief AI Officer, and is in talks with other researchers from Meta’s Superintelligence Lab as well as Google DeepMind.
From full scholarships to Cambridge classrooms
Shen’s academic journey is rooted in engineering, supported consistently by merit-based scholarships. He studied at Dulwich College from 2013 to 2016 on a full scholarship, completing his A-Level qualifications.He then pursued higher education at the University of Cambridge, where he was awarded full scholarships throughout. Shen earned a Bachelor of Arts (BA) in Engineering (2016–2019), followed by a Master of Engineering (MEng) at Trinity College (2019–2020). He later continued at Cambridge as a Meta PhD Fellow, completing his Doctor of Philosophy (PhD) in Engineering between 2020 and 2023.
Early career: Internships in finance and research
Alongside his academic pursuits, Shen gained early experience through internships and analyst roles in finance. He worked as a Quantitative Research Summer Analyst at Killik & Co in London (2017) and as an Investment Banking Summer Analyst at Morgan Stanley in Shanghai (2018).Shen also interned as a Research Scientist at the Computational and Biological Learning Lab at the University of Cambridge (2019), building the foundations for his transition into advanced AI research.
From Meta’s Reality Labs to academia
After completing his PhD, Shen joined Meta (Reality Labs Research) in Redmond, Washington, as a Research Scientist (2022–2024). His time at Meta exposed him to cutting-edge work in generative AI, but also to the frustrations of frequent corporate restructuring. This experience eventually drove him toward building his own company.In April 2024, Shen began his academic career as an Assistant Professor at the University of Bristol, before launching Memories.ai in October 2024.
Betting on talent with $2M offers
Explaining his company’s aggressive hiring packages, Shen told Business Insider: “It’s because of the talent war that was started by Mark Zuckerberg. I used to work at Meta, and I speak with my former colleagues often about this. When I heard about their compensation packages, I was shocked — it’s really in the tens of millions range. But it shows that in this age, AI researchers who make the best models and stand at the frontier of technology are really worth this amount of money.”Shen noted that Memories.ai is looking to recruit three to five researchers in the next six months, followed by up to ten more within a year. The company is prioritising individuals willing to take a mix of equity and cash, with Shen emphasising that these recruits would be treated as founding members rather than employees.By betting heavily on talent, Shen believes Memories.ai will be in a strong position to secure additional funding and establish itself in the competitive AI landscape.His bold $2 million offers may raise eyebrows, but they also underline a larger truth: in today’s technology race, the fiercest competition is not for customers or capital, it’s for talent.
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