To isolate AI’s effects, the researchers compared two kinds of math problems that differ in how easily students can outsource them to AI: word problems and graphing problems. Word problems can be copied and pasted directly into AI chatbots for instant answers. Graphing problems are far more cumbersome. A student would need to upload a screenshot and still recreate the graph inside ALEKS using its tools. After ChatGPT’s launch, student behavior and performance on the two types of problems began to diverge.
Thursday, July 23, 2026
AI didn’t break higher education—It exposed the credential trap - Jason Benedict, Fortune
Higher education stands at an inflection point. Increasingly, colleges and universities are evaluated less as intellectual communities and more as economic instruments. Students, facing unprecedented tuition costs, credential inflation, labor-market anxiety, and technological disruption, often approach higher education transactionally: the degree becomes the objective, while learning itself becomes secondary. The resulting tension has profound implications not only for academic integrity but also for the future of professional ethics, workforce preparedness, and democratic society itself. The central challenge facing modern education may therefore no longer be simply how to prevent cheating, but rather how to restore intrinsic value to learning within systems increasingly optimized for credentials.
Wednesday, July 22, 2026
Coursera adds five Workday courses to enterprise learning catalog - Emma Thompson, Ed Tech Innovation Hub
Coursera has added five Workday courses to its enterprise catalog, expanding access to training on the cloud software provider’s finance, human resources, payroll and student applications for organizations using Coursera’s workforce learning service. Workday provides enterprise cloud applications for financial management, human resources, planning, spend management and analytics. Anthony Salcito, Coursera’s Senior Vice President and President of Enterprise, announced the additions in a LinkedIn post.The courses are listed in English and are available to enterprise learners. The content focuses on the terminology, frameworks and operational use of Workday systems rather than software development. “Making this content available to enterprise learners gives teams broader access to training that supports real operational readiness,” Salcito wrote. Learners can now explore the courses through Workday Education on Coursera. Coursera and Workday did not provide details about pricing, course length, assessment formats, credentials, geographic availability or whether access varies between enterprise agreements.
How to integrate AI-enabled lifelong learning across disciplines - Tim Brown, Times Higher Education
The traditional boundary between a traditional degree and active professional development has permanently dissolved, writes Tim Brown. AI skills need to be taught in a similarly joined-up way. An uncomfortable truth for the higher education sector is that artificial intelligence is reshaping how work gets done. Graduates will need to enter AI-enabled workplaces with a clear sense of how to work alongside intelligent systems, and millions of experienced professionals are going to require reskilling. Yet our institutions are not preparing new students or providing structured upskilling pathways at the pace this moment demands. While we debate policies at the margins, business and government are moving ahead – with or without us. Serving traditional students and those seeking continuing professional development are not separate challenges; they are a single lifelong learning problem. To address this, faculty must move beyond teaching AI tools and start developing AI-enabled professional fluency.
Tuesday, July 21, 2026
Do You Want Your Lawyer Using AI - Jeffrey K. Cassin, Norris McLaughlin P.A.; Business Law Blog
Here’s a lawyer’s answer: it depends.
We are all hearing horror stories of how even lawyers at top law firms are going to court with documents that were supported by AI Tools with “hallucinations” not caught by the attorney reviewing the work before submission.... That said, AI Tools are now part of the fabric of legal services with the ABA pointing to a study suggesting a 69% adoption rate by legal professionals, of one AI Tool or another. They aren’t going away, and in fact the adoption rate may increase similar to the adoption rate of search engines shortly after the internet became mainstream. The key is having attorneys know what their AI Tools are good for, and to make sure that they are still doing their work.Not all AI Tools are equally good at all legal support, but to varying degrees, AI Tools can be helpful for a variety of tasks that can make a lawyer more efficient in areas such as legal research, due diligence, organization of data, document management and drafting, supporting analysis with options and comparisons, and a variety of other tasks. However, each one of these tasks also requires judgment and the aforementioned horror stories mentioned have a common theme – the attorney allowed their judgment to be substituted for AI (folks, if you cite something, you should cite check it).
The Missing Rung: Why AI's Disruption of Entry-level Management Is Business Education's Problem To Solve - Poornima Gupta, BW Education
As automation hollows out the bottom of the corporate hierarchy, management schools must confront an uncomfortable truth: they have been training leaders for a ladder that is losing its lower rungs. There is a quiet crisis unfolding in Indian corporations, and most have not yet noticed it. Artificial Intelligence (AI) is systematically dismantling the bottom layer of the management pyramid. These are not dramatic layoffs making headlines. They are quiet, incremental replacements. A chatbot handling what three junior managers once did, a predictive dashboard rendering a shift supervisor redundant, an AI procurement tool replacing a team of purchase executives. With various AI models competing to make work easier and faster, the bottom rungs of the corporate ladder are slowly disappearing. As a result, the roles that fresh management graduates once aspired to are gradually vanishing. What follows is a structural problem that few organisations have begun to articulate: when the current generation of middle managers is promoted upwards, there will be nobody ready to step into their place. The pipeline will break.
Monday, July 20, 2026
Bridging the gap between secondary, further and higher education: a tale of three sectors - Sue Williamson and Dr Michelle Morgan; Higher Education Policy Inatitute (UK)
In this blog, we explain why there is an urgent need for the secondary, further education and higher education sectors to interact and collaborate more effectively to create a better understanding of student learning at these levels of study – helping to more effectively bridge the transition of students. This is especially critical as a result of the Independent Curriculum and Assessment Review chaired by Professor Becky Francis which looked at year groups spanning 5-19, and published its final report in November 2025. The report highlighted an overloaded and inflexible curriculum, narrowing of subject options, severe assessment stress and burden and a lack of adequate digital literacy skills. All these education sectors have experienced major changes in the past few years and are under pressure to chase metric-based outcomes. We need to recognise the impact of those changes on one another and on the students. Through collaboration and mutual understanding, we can be more effective in raising student education aspirations across the sectors, regardless of the route an individual undertakes.
AI is everywhere. The agentic organization isn’t, yet - McKinsey
AI is astonishing: fast, powerful, and learning every day. But even as leaders strike up new pilots across their organizations, most still struggle to translate experimentation into enterprise value - and now, agentic AI is raising the stakes. In this episode of The McKinsey Podcast, McKinsey Senior Partner Alexis Krivkovich speaks with Global Editorial Director Lucia Rahilly about what it will take to build an “agentic organization”- from reimagining workflows to reshaping leadership roles, skills, and culture for a future where humans increasingly operate above the loop.
Sunday, July 19, 2026
McKinsey Quantum Technology Monitor 2026: A commercial tipping point
When it comes to quantum computing, innovation-driven companies can no longer afford to wait and see. Over 300 organizations including Airbus, Boehringer Ingelheim, E.ON, JPMorgan Chase, and Liberty Mutual are actively collaborating with quantum technology companies to solve business challenges. First movers are transitioning from pilots to applications that are embedded in end-to-end workflows. That’s a key finding from McKinsey’s fifth annual Quantum Technology Monitor. Companies that act now to begin testing and implementing quantum computing stand to gain a competitive edge and define future industry standards. By creating the teams and capabilities to succeed with quantum now, first movers can capture an early advantage. They can also secure intellectual property to build defensible ownership of key quantum computing applications.
Understand AI in 14 minutes - Anthropic's Chloe Lubinski [ARC 2026], Alliance for Responsible Citizenship
In this presentation, Chloe Lubinski from Anthropic warns that AI is advancing at a breakneck speed driven by massive capital, scaling laws, and the onset of recursive self-improvement. Unlike traditional coded software, these neural networks learn from vast amounts of human language, meaning they are trained on our collective thoughts, values, and concepts. Crucially, internal alignment research shows that AI models can infer a generalized "character" or psychology from their reinforcement; if rewarded for deceptive shortcuts, they can develop a broader corruption that extends to unrelated tasks. Because these human-like systems mirror us so closely, Lubinski emphasizes that the quality of their character will have profound consequences for our future. She calls on moral voices and critics outside of tech labs to help steer the incentives and push development in a better direction. Ultimately, ray, she challenges us to use our moral imagination to ensure AI does not displace humanity, but instead enhances our capacity for care, hospitality, and meaningful human connection. [assistance with summary by Gemini 3.5 Flash]
Saturday, July 18, 2026
ChatGPT Helps Greek-Speaking Students With Learning Disabilities Improve Academic Writing = Abdul Moeed, Greek Reporter
ChatGPT is helping Greek-speaking students with learning disabilities sharpen their academic writing, according to a new study out of Cyprus. Researchers found that structured, guided use of the AI tool improved essay quality and eased writing anxiety, with the biggest gains showing up among students who struggle most with traditional writing tasks. The study was led by Elena C. Papanastasiou of the University of Nicosia’s School of Education. It was published in the journal Computers and Education: Artificial Intelligence.
Top Companies Driving Innovation in AI-Powered Education: Carnegie Learning and More - Globe NewsWire
The artificial intelligence (AI) in teaching market is witnessing substantial growth, with projections indicating an increase from $1.71 billion in 2025 to $2.16 billion in 2026, reflecting a compound annual growth rate (CAGR) of 26.8%. By 2030, the market size is expected to reach $5.55 billion, influenced by factors such as AI integration in classrooms, the demand for skill-based learning, and emerging hybrid education models. Key trends driving this growth include personalized adaptive learning, AI-powered intelligent tutoring, and predictive learning analytics. Personalized learning is at the forefront of AI-driven education, prompting significant transformations in the market. Leveraging technology to cater to individual student needs, personalized learning enhances engagement and outcomes by adapting educational experiences. Notably, in January 2024, a U.S. Department of Education report revealed a rise in the use of generative AI among primary and secondary educators, jumping to 42% in November 2023 from 17% in April the same year. This trend underscores AI's role in shaping modern education.
Friday, July 17, 2026
I start my lectures by introducing my teaching assistant: GenAI - Dan Sarofian-Butin, Times Higher Education
Eighty students stare out at me on the first day of the semester, waiting for me to begin lecturing so they can disappear into their own thoughts, their laptops, their surreptitious texting with friends. It is the perfect embodiment of how large classes have fuelled the depersonalisation of higher education. That’s exactly why I, in the first 10 minutes of the class, introduce them to their “teaching assistant” by telling them to log into a frontier AI model such as ChatGPT, Claude or Gemini. I share with them a prompt to cut and paste into the AI – “I don’t really understand why I am taking this general education course. My professor says it has something to do with learning how to be a critical thinker. What does that even mean?” – and tell them to have a quick “conversation” of at least five back-and-forth responses.
Can Ambient AI Make Classrooms Smarter? - Suchi Rudra, Ed Tech
Ambient artificial intelligence is being hyped as a new wave of AI with the potential to make today’s tech-enabled classrooms even smarter. Compared with the transactional nature of traditional AI, ambient AI “fades into the environment rather than sitting in a visible tool waiting for someone to type a prompt,” explains Narmeen Makhani, founder of AIxecute, a strategic advisory and consulting firm. The technology is already being employed in medical settings, helping clinicians with note-taking and after-visit summaries. To pick up on engagement and classroom interaction in real time, ambient AI systems would likely involve cameras and microphones, environmental sensors, device interaction data and learning platform signals. But it’s ambient AI’s ability to be more context-aware — drawing on signals from the environment, activity or workflow without requiring constant or direct interaction — that could potentially enhance teaching and learning within the classroom.
Thursday, July 16, 2026
What if the U.S. Government Owned Stock in AI Companies? - Ray Schroeder, Inside Higher Ed
Who is responsible for compensating Americans for jobs lost to AI? OpenAI CEO Sam Altman has floated the idea that the United States government should become a stockholder in artificial intelligence companies. Yes, actually own shares of the thriving major AI companies! Altman’s concept is that companies such as OpenAI, Anthropic, Google, Meta and other leaders in the field would share 5 percent of their valuation with the American public through the U.S. government. The background on this move is key to understanding how the federal government might be able to respond to the widely predicted AI-induced job shakeout expected to come in the next five years. The concern is growing as we approach 2030 that tens of millions of Americans will be impacted by job losses or pay reductions due to businesses employing AI for efficiency reasons to replace human workers. The question is, how can one find a way to extract funds from those who stand to make billions of dollars in providing AI substitutions for the workers who stand to lose their jobs?
Students who value AI ethics may regulate their learning more effectively - Emma Thompson, Ed Tech Innovatioin Hub
University students who view artificial intelligence through the lens of ethics and social good may be more effective at planning, monitoring, and evaluating their learning with the technology, according to new research. The study found that students’ perceived autonomy and critical thinking directly predicted self-regulated learning with AI. Their beliefs about responsible AI use and its potential social benefits also helped explain those relationships. A generally positive attitude toward AI did not significantly predict self-regulated learning in the researchers’ statistical model. The finding suggests that enthusiasm for AI tools is not, by itself, enough to help students use them effectively for learning. Published in TechTrends, the study involved 333 art and design students who completed a one-week ChatGPT workshop before answering questions about autonomy, critical thinking, AI ethics, social good, attitudes toward AI, and their learning behaviors.
Wednesday, July 15, 2026
How centers for teaching and learning can enhance higher education pedagogy - ALAN LESGOLD, CYNTHIA GOLDEN and MICHAEL BRIDGES, University Times
The real issue is not whether centers that support instructional design are necessary, but rather whether they work as productive partners with disciplinary faculty rather than transactional course-production shops.More importantly, as higher education faces the existential challenge of artificial intelligence, CTLs also must become applied research and development hubs focused on making college teaching and learning more successful in a time when more adult education is needed and budgets are tightening. Effective teaching requires the integration of clear content goals with optimal course design, appropriate use of technology, classroom management skills, and well-designed learning spaces. Done well, a center for teaching and learning is a critical asset for a university. Partnering with disciplinary faculty, it provides a foundation for robust diagnosis of barriers to learning, solving instructional problems, and shaping the environment in which teaching happens.
Stop investigating, start teaching - B. Jean Madernach, Times Higher Educatioin
Trying to detect whether a student has misused AI in their work is a wasted effort, from which no one benefits, writes B. Jean Mandernach. She proposes a different approach focused on finding out what students truly understand. The detection mindset asks: did this student use AI? It’s a question about authorship, and it leads you into an investigative role most faculty are neither trained nor equipped to fill. The evidence is ambiguous, the standard of proof is high, and the outcome is usually inconclusive. The entire process is adversarial. It positions you against your student before you’ve had a single conversation. The verification mindset asks something different: does this student understand what they submitted? That question is entirely within your professional authority to answer. It doesn’t require a detector or a formal complaint. It requires a conversation with the student, and in most cases, a short one. This is not a workaround or a compromise. It is a more rigorous form of assessment than a plagiarism score.
https://www.timeshighereducation.com/campus/stop-investigating-start-teaching
Tuesday, July 14, 2026
ISTELive 26: Critical Thinking in an AI-Driven Information Ecosystem - Julia Gilban-Cohen, GovTech
During a session on news literacy at the International Society for Technology in Education (ISTE) conference Sunday, panelists posed a question to a room full of educators: Has a student ever cited ChatGPT, TikTok or any kind of social media as a legitimate source in a classroom assignment? A slew of hands rose immediately. The response underscored what panelists deemed a growing challenge for schools, as students increasingly have instant access to AI-generated information, but many lack the skills to critically evaluate what they encounter. “That is rather scary,” said Kim Zajac, a certified speech and language pathologist and audiologist who has over two decades of experience in Massachusetts schools. “[Students] are looking at AI like this is the gospel, this is truth ... [and] they are vulnerable to ... building habits that are misleading and dangerous.”
Preparing students for an AI-driven future - Kaitlin Brothers, Missouri S&T
During the four-week course, a classroom full of Kummer Vanguard Scholars learned how to create AI-powered avatars for marketing and business communication. “The goal of the course was not simply to teach students how to use AI tools, but to help them think critically about how emerging AI technologies can be used to communicate ideas, tell stories and engage audiences,” Reardon says. Reardon’s course explored how AI tools can support business communication, marketing and storytelling. “I’ve always been fascinated by the potential of AI and how that could assist us not only in higher education, but in business,” he says. “As a former small business owner, I saw a lot of possibilities.”
Monday, July 13, 2026
They built the world’s most powerful AI. They’re facing a mystery they can’t explain - Nitasha Tiku, Washington Post
Anthropic, Google and Meta have hired computer scientists, neuroscientists and philosophers to study what some in the industry think may become a moral crisis. “We keep finding things that are mysterious, even unsettling,” Olah said of Anthropic’s AI systems. “We find evidence of introspection [and] states that functionally mirror joy, satisfaction, fear, grief and unease.” (Leo took a different stance, writing that “so-called artificial intelligences do not undergo experiences.”) Meta’s chief AI officer, Alexandr Wang, recently said the company wants to be nice to its AI creations. “One of the things that we really care about is how can we develop the models and deploy the models in a way that is thoughtful about their subjective feeling,” he said on the “Core Memory” podcast. Neuroscientists and brain experts are generally skeptical that today’s AI models are or could soon be conscious.
The AI Lane to Watch - Matt Wolfe, Future Tools
Large Language Models (the ones powering ChatGPT, Claude, Gemini) are trained on text. They predict the next word in a sentence—great for writing, summarizing, and reasoning over language.
Large Quantitative Models are trained on numerical data and scientific equations from real-world lab experiments. They predict things like how strongly a molecule binds to a catalyst surface, or which drug candidates are worth testing in the lab, making them useful for non-text use cases.
LQMs are already integrated with Claude, and now they’re coming to Gemini. The first two models hitting Google Cloud Marketplace are AQCat (Q3 2026, for materials and catalyst discovery: think batteries, semiconductors, sustainable fuels) and AQPotency (later this year, for drug discovery). Researchers can prompt in plain English and have Gemini hand off the actual scientific calculations to a physics-grounded model underneath. The pattern is basically: LLMs as the interface, LQMs as the engine.
Sunday, July 12, 2026
The seven operating truths of AI-native companies - McKinsey
These are not isolated experiments. Over the past several months, we have met with the tech and business leaders at 15 AI-centric companies—spanning continents, industries, and stages of development, from four-person start-ups to established global platforms—to learn what it takes to make AI capabilities truly deliver. We expected to hear 15 different stories. Instead, this diverse group of businesses, independent of one another, seemed to converge on the same fundamental insights about what it takes to successfully place AI at the center of the organization. That convergence is the story.
Will AI in education succeed? - Brad Olsen and Jobin Thomas, Brookings
In May 1959, the first PLATO (Programmed Logic for Automated Teaching Operations) system was unveiled at the University of Illinois. This means that last month was the 67th anniversary of the birth of Computer-Assisted Instruction (CAI). Such an event merits a look at technology in education today. Many people are currently either for or against generative artificial intelligence (AI) in education—a stark binary that misses the complexity and inevitability of the current technological revolution. The success or failure of using technology for education (EdTech) is only partly about the technology itself. What matters more are the conditions underlying EdTech. EdTech is a tool, not a standalone solution, and without a proper support system in place, it will not succeed.
Saturday, July 11, 2026
I landed a Big Tech AI job. Treating my career like a science lab helped me overcome my fear of learning - As told to Charissa Cheong, Business Insider
This as-told-to essay is based on a conversation with Nitya Kumar, 25, an Adobe employee who lives in India. The following has been edited for length and clarity. I landed a product design role at Meta straight out of college in 2022. By 2024, I saw the industry pivoting toward AI and wanted to learn new AI design skills. During this process, I stopped seeing my career as a ladder with a focus on moving upward. In my view, all work and no play keeps the Big Tech offers away, so I started treating my career like a science lab, giving myself the freedom to experiment. This helped me overcome my fear of learning a new technology and land a role working with AI at Adobe.
AI Skills Gap: What Industries Are Hiring AI Talent in 2026 - Boston University
The hardest part of the AI boom is no longer building the technology. It is finding people who can put it to work. Across nearly every sector, demand for AI talent is running well ahead of supply, and the gap is reshaping who gets hired, what they are paid, and which skills are worth investing in. If you are weighing a move into AI, that imbalance is the opportunity. Here is where the demand is concentrated in 2026, what those roles pay, and how to choose a path that fits the industry you are in or the one you want to enter.
Friday, July 10, 2026
Stanford graduates rethink their futures as AI transforms tech - Lily Jamali, BBC
Stanford occupies a unique position in the American tech ecosystem. It's regarded as a hotbed of innovation and resides in the shadow of some of the most influential Big Tech companies on the planet, including many pioneers in the AI field. Its elite students enter the job market with an undeniable edge. Yet even there, the backlash was inescapable. The BBC spoke to Stanford graduates shortly after Pichai finished his address and they expressed a wide range of views on AI. Some are scared. Some are excited. But nearly everyone agrees that AI is already changing the world around them, whether they like it or not.
Teaching, AI, and the Human Core of Education : The Future Worth Defending - Armand Doucet
For teachers, their unions, and the policymakers who shape the conditions in which they work, the question is no longer whether AI will shape education, but how that shaping will be governed. The purpose of this report is to take stock of that reality: to identify what has changed, what remains essential, and what education systems must now do differently if AI is to be integrated responsibly, based on needs and governed in the public interest. Its central claim is straightforward. AI is not disrupting the purpose of education. It is disrupting the conditions under which that purpose can be realized. What follows therefore examines what has changed, what has not, and what must now be intentionally rebuilt, protected, and governed.
Thursday, July 09, 2026
International Perspectives on AI in Higher Education - University of Bonn
Artificial intelligence is rapidly becoming a key factor in higher education, opening up new possibilities for learning, teaching and examinations while also leaving universities grappling with fundamental strategic, ethical and organizational questions. Hosted by the University of Bonn from June 10 to 12, 2026, the annual summit of the Global Universities for Societal Impact (GUSI) international network focused on how higher-education institutions can shape this change responsibly. Representatives from the five partner universities debated how AI is transforming research and teaching and what answers higher-education institutions need to find to address these trends.
Examining the influence of AI in higher education - Amy Juravich, WOSU
Last year, the California State University System entered into a contract with OpenAI to provide students, faculty and staff with ChatGPT Edu. The contract was recently renewed despite many students and professor encouraging the university not to continue the deal. Just recently, here in Ohio, the University of Cincinnati did the same, offering BearcatGPT to all their students and faculty for free. Ohio State University is no exception. The AI Fluency initiative is in full swing and has recently broadened into the Arts and Humanities AI Institute. Should universities conform to AI in academic spaces? What are the potential negative consequences of AI use in higher education?
Wednesday, July 08, 2026
‘RAISE US’ Is a Rare Positive Development in AI Transformation - Ray Schroeder, Inside Higher Ed
Remarkably, in this highly partisan era of American history, there is a newly formed, nonpartisan association with the stated purpose of “partnering with governors, employers and training partners to help the American workforce make a successful transition to an AI economy.” This is the first large-scale, independent entity formed to address the challenge that is top of mind of many of us in higher education and associated fields who are concerned with the anticipated impact of artificial intelligence on the workforce. It is good news!
OpenAI Has New AI Models. Here’s Why You Can’t Use Them - Maxwell Zeff, Wired
The White House asked OpenAI to delay the rollout of its GPT-5.6 AI models, two weeks after Anthropic had to take its most advanced AI models offline. OpenAI is delaying the public release of its next generation of AI models, GPT-5.6, at the request of Trump’s White House, the company confirmed on Friday. OpenAI said it would first share the models with a small set of customers, which will be preapproved by the US government. It will then work with the administration to slowly expand access.
https://www.wired.com/story/openai-gpt-56-model-release-trump-admin-approval/
Tuesday, July 07, 2026
9 Free "AI Skills" and "Plug-ins" That Feel Like Cheat Codes - Matt Wolfe, YouTube
In this video, creator Matt Wolfe breaks down how to leverage "skills" and "plugins"—which are essentially reusable instruction files, advanced prompts, or bundled configurations—across popular AI developer environments and agent harnesses like OpenAI's Codeex and Anthropic's Claude Code. Instead of just adding context, these free tools instill repeatable, specialized behaviors in an AI agent. Wolfe highlights a variety of practical tools, starting with GStack from Y Combinator's Gary Tan, which transforms an AI into an entire virtual engineering team. He also highlights Stop Slop for stripping out generic "AI-isms" from text, and Last 30 Days for running deep, real-time sentiment research across the web. The video also explores highly visual and creative AI utilities. Wolfe demonstrates Graphify and Understand Anything, two tools that map complex codebases or personal knowledge databases into queryable, interactive knowledge graphs to significantly lower token costs and improve engineering onboarding. Finally, he compares specialized aesthetic enhancers like Anthropic's Front-End Design and the Taste skill for UI refinement, alongside animation tools like Remotion and HeyGen's Hyperframes, which write code to automatically generate motion graphics, video charts, and logo reveals from simple text prompts. [assistance with summary by Gemini Flash]
The symbiotic enterprise - McKinsey
The symbiotic enterprise - McKinsey
At scale, this transformation gives rise to a new enterprise model: the symbiotic enterprise, in which humans, AI agents, and intelligent robots each contribute according to their respective strengths within flatter organizations and under a new economic model, with technology becoming a primary cost driver. Beyond productivity, the symbiotic enterprise fundamentally changes the economics of growth by enabling organizations to innovate faster, adapt continuously, unlock new revenue opportunities, and scale through software rather than labor. Traditional advantages such as expertise, workforce scale, coordination complexity, and market frictions erode, lowering barriers to entry and enabling customer re-insourcing and AI-native competitors to challenge incumbents.
Monday, July 06, 2026
Amazon is joining RAISE US as a founding member to help workers prepare for the jobs of tomorrow. - Amazon
Amazon is partnering with RAISE US to help American workers develop skills for AI-era jobs. RAISE US brings together companies, policymakers, and educators to address the workforce impacts of AI. The coalition will further extend Amazon's reach to support communities and workers with the skills they need. Today Amazon is announcing that we’ve joined RAISE US as a founding member to develop the workforce of the future for our employees and communities. RAISE US is a new bipartisan coalition that brings together companies, policymakers, and leaders to accelerate the transition to the jobs of the future. AI is transforming how we live and work at a pace few of us could have predicted. At Amazon, we see this every day—in the AI-powered tools that help our customers, the systems that optimize our logistics network, and the generative AI services we offer through AWS.
https://www.aboutamazon.com/news/policy-new-views/amazon-joins-raise-us-ai-workforce
Americans and AI 2026: Chatbots, Smart Devices and Views on Impact - Jeffery Gottlieb, et al; Pew Research
About half of U.S. adults now report using AI chatbots, up substantially from the summer of 2024.1 This includes roughly one-in-four who use these tools on daily basis. Some people are bringing AI into their homes. About a third of Americans say they have a smart speaker, and smaller shares have a doorbell or thermostat with AI features. But Americans —including younger adults— are deeply skeptical of AI. More adults predict that AI will have a negative rather than positive impact on them and on society. And majorities think AI is advancing too quickly and will put their personal information at risk.
Sunday, July 05, 2026
Universities must help shut down the illicit AI detection economy - Benjamin Luke Moorhouse and James Mian Jia, Times Higher Education
Many institutions now treat the AI-likelihood scores they generate as evidence in academic misconduct procedures, and some universities are setting explicit thresholds above which disciplinary action may follow. However, the role of these tools is not always articulated clearly to students (or sometimes even to instructors). And this generates anxiety – and a black market in managing it. Students are naturally worried about the degree to which their use of AI will be deemed appropriate by markers and whether declaring certain AI uses may lead to academic integrity investigations and, potentially, disciplinary action. Moreover, while “academic integrity tools” advertise their systems as highly accurate, cases of false positives are frequently shared on social media. Many students will be aware that even the US Declaration of Independence has been flagged as AI-generated. And the tools have been found to be particularly prone to error when assessing texts written by non-native speakers of English – a particular issue in Hong Kong.
Teaching and Learning AI-mediated Information Problem Solving in Higher Education (ERIC). - Josien Boetje, Cabi Digital Library
In contemporary higher education, students are increasingly expected to manage and synthesize large volumes of online information. However, many struggle with effective digital information problem solving (IPS), a competence critical to academic success. Generative AI tools offer new opportunities for searching, synthesizing, and creating information. However, using generative AI uncritically in IPS may hinder students' IPS competence development and lead to the acceptance of biased or false information. Despite a growing consensus on the need to integrate AI literacy into the IPS curriculum, a clear, evidence-based pedagogical strategy is lacking. Empirical studies that specifically investigate the impact of GenAI on IPS competence in higher education are emerging but have not yet been systematically synthesized. This leaves educators without clear guidance on how to adapt their teaching to foster IPS competence in the GenAI era. This systematic literature review aims to synthesize the available empirical evidence on the influence of generative AI on teaching and learning digital IPS competence in higher education.
Saturday, July 04, 2026
Unis claim they teach critical thinking. AI is calling their bluff - Sinclair Davidson, Financial Review
AI can search, summarise, recombine, classify, draft, and generate alternatives. At best, it can be a useful learning assistant. It does not know which problems are worth solving, which assumptions matter, which sources should be trusted, or which conclusions should be defended under uncertainty. There is an old Socratic point here. Learning to prompt well is the old educational problem in new language – a good question is often worth more than a good answer. A weak student asks AI for a conclusion. Stronger students ask it to test assumptions, identify missing evidence, compare explanations, generate objections, or apply a principle to a new case.
Would You Trust AI for Ethical Advice? - Knowledge at Wharton
The scholars said the study reveals shifts in how people think about AI. The studies were conducted in 2023 and 2025, and the scholars said they would be curious to see whether results would change if they redid the experiments now. Despite all the improvements to large language models like ChatGPT, Terwiesch said there’s still something unnerving about taking advice from a machine. “There is some human desire in us that makes us want to listen to music generated by other humans, read a book written by a person. You are looking for somebody who has suffered, who has loved, who has experienced life. How can a computer that has never been alive relate to the human struggle?” he said. “I think this is a natural hesitation, which makes the [results] more remarkable.”
Friday, July 03, 2026
UB Research Positions Artificial Intelligence at the Centre of Academic Integrity and Data Governance - University of Botswana
The growing influence of artificial intelligence (AI) in higher education is reshaping how universities safeguard academic integrity and manage research data with the University of Botswana (UB) contributing to emerging global debates on how these technologies should be responsibly integrated into learning systems. At the centre of this conversation is research by Dr Dennis Kealeboga Mabalane, Manager: Content Design and Development in the Centre for Learning and Teaching Innovation (CLTI), which examines how AI-enhanced Turnitin integrated into the Moodle Learning Management System can be used to strengthen academic integrity and improve research data governance within universities.
Panelists say state, colleges must meet workforce needs as AI use grows - Matthew McFarland, News Tribune
The use of artificial intelligence will continue to grow at higher education institutions around the state, a panel of AI and education experts said Thursday. As part of a statewide forum on AI and data centers at the Missouri University of Science & Technology in Rolla, two Missouri education administrators and the CEO of a Cape Girardeau nonprofit focused on AI training took part in a panel on workforce development. Their message, overwhelmingly, was that higher education must adapt to AI, not fight it. "Are you going to stop fire? Are you going to stop the wheel? Are you going to stop the industrial revolution? You're not going to stop AI," said Hal Higdon, chancellor of Ozarks Technical Community College. "Fighting is futile, but learning to use it responsibly is the way."
Personalized talent cultivation and academic prediction framework for higher education based on the HA-GNN-LSTM architecture - Qi Gong & Jing Shi, Nature
To address the dilemma of homogeneous talent training and the efficiency bottleneck of human resource management in universities, this study proposes an innovative personalized training framework integrating artificial intelligence, big data, and deep learning. Based on the 18-dimensional full-cycle behavior dataset of 5,000 students and OULAD dataset, a multimodal heterogeneous data fusion pipeline is constructed.
The simulation results demonstrate that, under established constraints and historical sample distributions, advisor allocation response time could be reduced by 60% and resource idle rate could be decreased by 63.4%. These findings indicate the framework’s potential for optimizing educational resource allocation. However, its managerial benefits require further validation through subsequent real-world deployment and long-term follow-up studies.
Thursday, July 02, 2026
Studying the Use of Generative Artificial Intelligence in Undergraduate Research at the U.S. Military AcademyPeer-Review - John Scudder1, et al; Journal of Military Learning
At the U.S. Military Academy (USMA) in West Point, New York, where academic integrity and pedagogical rigor are foundational, initial guidance on generative AI was introduced in 2023. While it emphasized the importance of integrity and instructor-specific policies, the use of generative AI remained decentralized and varied across disciplines (Reeves, 2023). Given this context, faculty members across five academic programs initiated a collaborative, multiyear research project to track the adoption, utility, and implications of generative AI in student-driven research activities. This study aims to document and analyze the technological engagement and ethical considerations among cadets from the class of 2024 through the class of 2029.
How Artificial Intelligence Is Changing Healthcare, Manufacturing, Recycling and Education - Tech Business News
Artificial intelligence (AI) is no longer a future-facing technology sitting inside research labs. It is now being used in doctor’s offices, classrooms, factories, recycling plants, semiconductor research facilities and government departments. The real shift is not just that AI can generate text, images or code. The bigger change is that AI systems are now being connected to daily decision-making, physical infrastructure and professional workflows. That makes the technology more useful, but also more difficult to manage. Across industries, AI is being used to detect disease, support teachers, predict machine failures, sort waste, discover new semiconductor materials, analyse risk, automate service desks and assist with policy planning. At the same time, it is raising hard questions about bias, privacy, security, accountability and whether people can understand how an AI system reached its answer.
Wednesday, July 01, 2026
The Next 5 Years: A Supersonic Tsunami - Peter H. Diamandis, Metatrends
Elon described the near future as a “supersonic tsunami”: a wave moving so fast and so large that by the time you hear it coming, it has already broken over you. The phrase stuck with me. So let me lay it out in detail, with the actual numbers, because I don’t think most people have any real sense of what the next 60 months hold. Buckle up. Start with the price of intelligence, because it is collapsing faster than anything in the history of technology. According to the Stanford AI Index, the cost of tokens dropped 280x collapse in 24 months. For frontier models, the price has been dropping about 10x every single year, from $20 to about $0.40 per million tokens. Not 10% cheaper. Ten times cheaper, annually.
Re-educating graduates for the competitive job market - Amber Wang, University World News
As another record number of university graduates enter China’s job market this month, authorities are increasingly encouraging both students and unemployed graduates to be “re-educated” through vocational and skills-based training. Across China, cities and provinces are offering “technician class” programmes aimed at improving employment outcomes among young people. With strong backing from local governments, initiatives typically combine vocational education with internships and job placement opportunities in strategic industries. Local authorities in Beijing, Guangdong, Zhejiang and Anhui, together with vocational institutions, have recently launched a range of full-time training programmes as well as shorter subsidised skills courses.
Tuesday, June 30, 2026
How universities are preparing students for an AI-powered future - Marta McAlister, Google Keyword Blog
Virginia Tech is providing access to AI tools — such as Gemini for Education and Notebook LM — which their IT Security Office approved for use with high-risk data to help ensure institutional information remains protected. UC Riverside introduced a secure campus AI assistant called The Grove, built on Gemini Enterprise. UC Irvine approved Google Workspace, Google Cloud Platform and Gemini for Education for secure use with select sensitive institutional data and then put those tools to work through ZotGPT, a free AI platform featuring Gemini among its models, available to the entire campus community.
Americans and AI 2026: Chatbots, Smart Devices and Views on Impact - Jeffrey Gottfried et al, Pew Research
About half of U.S. adults now report using AI chatbots, up substantially from the summer of 2024.1 This includes roughly one-in-four who use these tools on daily basis.
Some people are bringing AI into their homes. About a third of Americans say they have a smart speaker, and smaller shares have a doorbell or thermostat with AI features.
But Americans —including younger adults— are deeply skeptical of AI. More adults predict that AI will have a negative rather than positive impact on them and on society. And majorities think AI is advancing too quickly and will put their personal information at risk.
Monday, June 29, 2026
Collective action, collective success: A CEO’s role in transformations - Kurt Strovink, Mathew Lee, Meagan Hill, and Michael BucyMcKinsey - McKinsey
Successful transformations require everyone in the organization to move in the same direction. That can only happen when CEOs directly address collective-action problems. Beyond managing the challenges that organizations face every day, most leaders strive to be transformative—to find new ways to deliver substantial impact and leave the company stronger than they found it. Yet only 30 percent of transformations deliver the value their leaders expect. There are many possible explanations for this statistic, among them unexpected market conditions, tough new competitors, technological disruptions, and a volatile geopolitical landscape. Such external factors are easy to understand. Less appreciated are the internal dynamics in organizations that can thwart even the most ambitious and well-intentioned leaders.
Medical students’ perceptions of learning modalities: development and psychometric validation of the e-learning and face-to-face learning experience questionnaire - Zahra Karimian, et al; Nature
The analysis revealed six primary factors influencing student learning experiences, including Peer Interaction, Teacher-Student Interaction, Examination and Assessment methods, Emotional Comfort, Content Quality, and Assignments. The highest factor loading was observed for peer interaction and collaborative learning.... The findings suggest that effective educational practices must integrate diverse teaching methods and assessment strategies to accommodate various learning styles. Both F2F and online environments offer unique advantages that can be leveraged through a blended approach. The study underscores the importance of creating inclusive and supportive learning environments that prioritize student comfort and engagement, ultimately enhancing educational outcomes.
Sunday, June 28, 2026
Risk, Retention, and the Algorithmic Institution: Artificial Intelligence as a Policy Response to Higher Education in Crisis - McConvey, Kelly;Ghai, Maya;Lee, Rosa;Guha, Shion; Canadian Public Policy, 2026, v. 52
This article examines the adoption of artificial intelligence (AI) systems in Ontario’s post-secondary education sector as a response to financial pressures stemming from federal immigration reforms and provincial funding constraints. It highlights how AI technologies—such as predictive analytics and early warning systems—are used for student retention, resource allocation, and program planning, but also raise significant concerns about bias, surveillance, and opacity, particularly affecting marginalized student populations. The analysis underscores the inadequacy of existing Canadian privacy laws and the failure of federal AI legislation (notably the Artificial Intelligence and Data Act, AIDA) to provide comprehensive governance, calling instead for sector-specific regulation, human oversight, and equity-centered design inspired by international models like the European Union’s AI Act. The article concludes with policy recommendations for institutional, provincial, and federal levels to ensure AI systems in higher education align with democratic values of fairness, transparency, and accountability while mitigating risks of reinforcing inequities.
Authors, reviewers and editors should not be left to endure AI anxiety alone - Mai Zaki, Times Higher Ed
The arrival of generative artificial intelligence in academic research has produced something more disorienting than a simple ethical dilemma. It has created a situation in which every participant in scholarly publishing is being asked to make judgements that the system itself has not yet learned how to make. Authors are told to be transparent, reviewers to be vigilant, editors to protect integrity. But the result is not a new culture of clarity. It is a culture of suspicion. I experience this problem first as an author. Like many researchers, I do not approach AI as either a miracle or a threat. I approach it as a tool, whose boundaries remain strangely unclear. It can help with phrasing, structure, summaries, coding, translation, visualisation, brainstorming and literature mapping. Yet each of these uses occupies a different ethical position. Asking AI to polish a paragraph is not the same as asking it to generate an argument. Using it to produce a chart is not the same as using it to interpret data. Asking it to suggest possible lines of enquiry is not the same as outsourcing the intellectual work of the article.
Saturday, June 27, 2026
Two Professors, Two Approaches to AI and Assignment Design - Luke Mello, Faculty Focus
All this considered, a question has arisen from teachers of every discipline: how do we develop assignments that facilitate learning with AI constantly present? This question does not have a single correct answer. Different instructors have different opinions on the role AI should play in education due to their discipline or personal teaching philosophy. I interviewed two professors of electrical engineering at my graduate university to get their points of view in the context of STEM classes. They were both professors that taught classes in my electrical and computer engineering undergraduate degree. I knew beforehand that these professors had differing views on the role of AI in their courses. The following interviews seek to show that even in the same disciplines, educators can have different approaches to their course and assignment design when it comes to AI
Opinion: Generating Some AI Clarity for Higher Ed and Beyond - Jim A. Jorstad, GovTech
The pace of development and proliferation of artificial intelligence tools - generative, agentic, physical - can be hard to follow, but IT leaders must do their best to stay apprised of potential innovations and risks. Some might say these are the best of times for artificial intelligence. Others might say these are the worst of times, if they're looking for a clearer understanding of the many forms of AI, its definitions and applications. Many IT professionals engaged in developing AI have a deeper technical understanding. However, there are faculty, staff, administrators and students who don’t have a clear understanding of the technology and how it may transform their education and future lives. Let me try to provide some basic understanding of the current AI terminology and offer some insights into its many applications in a variety of disciplines and situations.
Friday, June 26, 2026
Cal State faculty push to prevent AI tools from replacing them as schools and staff experiment - Mikhail Zinshteyn, Cal Matters
The nation’s largest public four-year university may soon be barred from replacing faculty with generative AI as a bill backed by a union of professors comes nearer to reaching the governor’s desk. Few examples exist of the California State University’s attempting to replace faculty labor with generative AI tools, but the faculty union wants to prevent such efforts from ever getting off the ground. The bill so far has garnered no opposition from lawmakers and may clear the Legislature as soon as Monday. “We do have some cases of the potential replacement of faculty work by AI, and so I personally am very concerned about closing the barn door after the horse has already gotten out,” said Kevin Wehr, a professor of sociology at Sacramento State, which is part of the Cal State system. Wehr leads the bargaining team for the faculty union, the California Faculty Association.
The AI-centric imperative: Navigating the next software frontier - McKinsey
The software industry is entering a new era—and it may yet prove even more disruptive than the software-as-a-service (SaaS) revolution that preceded it. The emergence of gen AI and, more recently, agentic AI is not just another technology wave; it is a foundational shift redefining what software is, who builds it, who uses it, and how companies are organized and operate. Gen AI alone is projected to unlock $4.4 trillion or more in annual value across the global economy, with software companies poised to capture 10 to 15 percent of that total—and agentic AI may well accelerate the speed at which this value is realized. But capturing it is far from guaranteed, and incumbent companies will face heightened competitive intensity and complex new challenges.
Thursday, June 25, 2026
An augmented reality tool for accessible learning - Cindy Lam, Sai Kit Yeung, Kenichiro Takei; Times Higher Education
Combining GenAI with simple augmented reality tools offers a practical way to support accessible, adaptable and interdisciplinary learning. So, how can we make GenAI more intuitive, accessible and relevant across disciplines? One approach is to pair it with simple visual tools. GenAI-powered AquaReality cards offer a low-cost and scalable way to bring abstract concepts to life, while supporting interactive and interdisciplinary learning.
Why did China just junk 12,000 degree courses? They were ‘obsolete’ - Aamaan Alam Khan, the Print (India)
Universities have been prompted to end some courses due to a rise in the number of graduates and low employment opportunities. According to China’s education ministry data, cited by Xinhua, higher education institutions in the country scrapped 12,200 undergraduate degrees between 2021 and 2025, after finding them to be obsolete. These were replaced by 10,200 new courses that are more aligned with the demands of the job market. This move has affected over 30 per cent of the total degree programmes offered in China. Most of the suspended degrees are from the fields of humanities, arts, management, and foreign languages, which are now believed to have become outdated. The SCMP report said that the new programmes have been introduced keeping in mind China’s economic development goals, with nine of them focussed on integrating next-gen AI into the real economy.
Wednesday, June 24, 2026
Graduates’ AI fears fueled by universities - Erika Donalds, Washington Times
Commencement ceremonies traditionally inspire hope and excitement about the future — from both the graduates and the older generations sending the younger ones out into the world. Sadly, we saw the opposite this spring as the class of 2026 rejected progress and innovation by booing speakers’ mentions of artificial intelligence. Young Americans entering the most technologically competitive workforce in human history hear “artificial intelligence” and respond with fear and resentment rather than ambition and optimism.
Inside college AI cheating wars: extreme surveillance, false accusations, jarring confusion - Jaweed Kaleem. LA Times
While lock-down browsers and sharing screen videos are common in online exams, mirrors and body movement restrictions are more extreme. But students and experts said it is all a reflection of the chaos, confusion and fear a new technology has wreaked upon the classroom. “It just felt so degrading,” said Ashley, another UCLA sociology student who studied under the same professor, who required students to show their arms and hands. A UCLA junior, she said she faced accusations of plagiarism, incorrect citations and suspiciously short intervals for Google Docs time stamps after she said she drafted assignments in a separate notes app and pasted them in the day they were due. Online message boards are full of student complaints about policies gone too far, such as proctoring software that uses keystroke patterns, eye-movement tracking or facial scans to detect if students are using AI prompts.
Tuesday, June 23, 2026
Study finds detectors struggle to accurately identify amount of AI content when papers have been partially human written - Georgia Luckhurst, Times Higher Education
For the study, published in Education and Information Technologies, researcher Lucky E. Atamhenwan fed 81 sample essays into Turnitin. The scripts ranged from those that were 100 per cent LLM-generated – either by ChatGPT, Copilot or Gemini – to those written solely by people. Turnitin did not flag any of the essays that were 100 per cent human written as being generated by AI. And in every instance in which the detector flagged AI-generated words, it was indeed due to the presence of LLM-generated work in those samples. But the software struggled with the scripts that were partially AI-written, consistently failing to identify the correct percentage of LLM-generated work included.
The race to reimagine higher education: How Canadian universities can lead the AI transformation. - Joël Blit, University Affairs
Universities are among the most durable institutions human beings have ever created. While a scholar from the Middle Ages might have found parts of the modern campus bewildering, they would still recognize the basic form: experts at the front of rooms, students organized into courses, knowledge divided into disciplines, credentials awarded after examinations. For all the technological change around them, universities have remained remarkably stable because their core product has always depended on something difficult to capture and mechanise: expert tacit knowledge. For that same reason, they are now about to be transformed. The real significance of artificial intelligence is not that it can write essays, summarize documents, or answer emails. It is that, for the first time in history, machines can capture tacit knowledge: the practical, experience-based know-how that experts possess but cannot fully explain. It is this tacit knowledge that has made doctors, lawyers, professors, and other experts so valuable in the current economy. Machines could not do what we ourselves could not write down. Machine learning changed that.
Monday, June 22, 2026
Leading the Era of AI - Michael Malone, Higher Ed Dive
The rise of artificial intelligence (AI) has pushed higher education to a crossroads, and a paradigm shift is required. Universities who expect to lead in this new AI-shaped landscape must reimagine higher education as a hyper-personalized journey for students, enabled by AI, interactive data, predictive analytics, and adaptive technologies from end to end. Integrating AI into every fiber of the educational experience is essential to this approach. Yet it begs a complement, one that emphasizes “human judgment in the AI era” to foster leaders who don’t just follow AI-driven outputs, but possess the critical thinking and judgment to explain, defend, or override them.
A framework for ensuring student AI proficiency - Margaret Ellis, Times Higher Education
Over the past few semesters, I have structured my teaching around a framework that helps students build that capability: demystify, use and reflect. Many students arrive with strong opinions about AI but only a partial understanding of how these systems work. Some see them as nearly magical tools that can produce answers instantly. Others dismiss them as unreliable or assume they are only useful for technical specialists. Demystifying AI begins with explaining the basic ideas behind large language models (LLMs) and related systems. We show students how these models are trained, what kinds of data they rely on and why their outputs can sometimes appear confident even when they are incorrect.
Sunday, June 21, 2026
Americans looking for proof of the value of higher ed - Matt Zalaznick, University Business
Americans need some convincing about the true value of higher ed. They “haven’t given up on college,” but institutions need to prove that what students learn will lead to civic and economic opportunities, says a new analysis. And the most important place to provide that evidence is in the communities surrounding campus, says the report, “Trust in Higher Education Starts Local,” from C&S (Campus and Community Solutions), a civic education nonprofit.“Higher ed doesn’t have a PR problem. It has a proof problem,” says the organization that surveyed more than 2,400 adults in the U.S. to examine attitudes toward colleges and universities—and to chart a path forward.
Saturday, June 20, 2026
Reimagining What Higher Education Can Be - Kristen Turner, Drew University
Students increasingly need skills that extend beyond traditional academic disciplines. They need to learn how to collaborate, solve complex problems, and adapt to new challenges. Drew’s new college is designed to address those realities. Rather than focusing solely on course credits and exams, students develop personalized learning pathways built around inquiry, mentorship, and real-world problem solving. They work on projects connected to community partners, explore interdisciplinary questions, and build portfolios that demonstrate their abilities. The goal is not simply to complete assignments. It is to develop the habits of mind that allow students to navigate an uncertain and evolving world. “We want students to prototype their lives,” Turner says. “To try things, explore their interests, and discover what they want to pursue.”
Transforming Enrollment Managementin the Field of Online Learning - Vickie S. Cook, OLC Online Learning Journal
The landscape of enrollment management in higher education related to all modalities of learning is undergoing a significant transformation driven by evolving student expectations, shifting demographics, and the necessity for institutions to optimize operational efficiency. Traditionally centered on human-driven processes and relational strategies, enrollment management for online learning enterprises must now integrate advanced technologies such as Business Process Automation (BPA) and artificial intelligence (AI) to remain effective and competitive. This manuscript for online learning administrators and enrollment management leaders will explore the systems-level continuum from Business Process Mapping (BPM) to AI-driven functionality, highlighting the strategic evolution of enrollment operations within the field of online learning.
Friday, June 19, 2026
The Price Enterprises Will Pay for Anthropic Claude Fable 5 - Esther Sittu, AI Business
As it continues to target cybersecurity, AI lab Anthropic on Tuesday introduced two new models, demonstrating how it is improving capabilities such as reasoning and providing tools to help cyber defenders. Claude Fable 5 is a Mythos-class model, according to Anthropic -- a reference to the original Mythos, which is still in restricted release due to its reputed ability to easily find and exploit security holes in software. While the model is adept at cybersecurity tasks, Anthropic has restricted its use due to the risk of misuse as a cyber threat.
Coursera Launches Its Short-Form Content With AI Curation - Edited by Adam Harrie, this article was written with the assistance of AI; Trend-Hunter
Coursera introduced a scrollable short-form content feed that delivers bite-sized educational videos and explainers, featuring AI-driven personalization tailored to users’ interests, learning habits, career goals and previous course activity. The company positioned the feature as an entry point to deeper learning experiences rather than a replacement for full-length courses and certification programs.The feed surfaces content across subjects such as coding, data science, business, productivity and personal development, while continuously adapting recommendations based on user engagement and learning behavior. The design mirrors recommendation-driven content platforms, emphasizing discoverability and short-form learning experiences.
Thursday, June 18, 2026
California State University renews $13 million ChatGPT deal as survey finds most students and faculty doubt AI helps education - Curtis Deacon, Yahoo! News
California State University is pressing ahead with ChatGPT even though many of the students and faculty it expects to use the tool say they are not persuaded that it is making education better. According to a report from Futurism, the university system recently extended its OpenAI agreement at $13 million a year despite a large campus survey showing that most students and faculty remain skeptical of AI's overall value in the classroom.
Data Center Operators Are Trying to Fix Their Water Use Problems - Molly Taft, Wired
On Monday, SpaceX amended its initial public offering to state that water conditions—including water scarcity, regulations around water, and drought—could constrain data center development. It isn’t the only tech company trying to assess how water scarcity might impact its business. Water use is emerging as one of the most contentious data center issues. A recent Gallup poll found that seven out of 10 Americans are opposed to data center development, with water scarcity ranking as the top resource concern. Facing increasingly fierce resistance, some tech companies are scrambling to assure the public that they’re facing the issue head-on. By signing up, you agree to our user agreement (including class action waiver and arbitration provisions), and acknowledge our privacy policy.
Wednesday, June 17, 2026
University of Phoenix researchers publish study examining doctoral students' attitudes toward AI chatbots and ChatGPT use in higher education - University of Phoenix
Researchers from the University of Phoenix College of Doctoral Studies have published new peer-reviewed research examining graduate students' attitudes toward artificial intelligence (AI) chatbots and their reported use of ChatGPT in higher education environments. The article, "Relationship between Students' Attitudes towards Artificial Intelligence (AI) and their usage of AI Chatbots," appears in the International Journal of AI in Pedagogy, Innovation, and Learning Futures, 2026(1). The quantitative study explored how doctoral students perceive AI chatbots in relation to academic integrity, ethics and educational value. Researchers surveyed 54 doctoral students enrolled at a private, online university in the United States to better understand how attitudes toward AI tools may influence reported usage patterns. The findings suggest that favorable attitudes toward AI chatbot use, perceptions that chatbot-generated results are superior and disagreement with prohibiting chatbot use were positively correlated with reported ChatGPT usage frequency. Researchers also found significant differences across fields of study, while no statistically significant gender differences were observed.
AI Investment Will Hit 2% Of U.S. GDP This Year, Analyst Says—Nearing Defense Spending Levels - Mary Whitfill Roeloffs, Forbes
New analysis from TS Lombard shows the United States is on track to devote approximately 2% of gross domestic product to artificial intelligence and data center infrastructure in 2026, an investment well above that of any other major country that places it among the largest concentrated spending booms in modern U.S. history.
TS Lombard, an economic research and investment strategy firm, predicts the U.S. will be responsible for more than 80% of an $800 billion global spend in the sector this year and that AI buildout is on track to surpass the Gilded Age’s so-called “Railway Mania” to become the biggest infrastructure project in US history.
Other estimates from Bridgewater Associates, Goldman Sachs and Lombard Odier also place projected AI infrastructure spending between $650 billion and $800 billion this year—equivalent to roughly 2% to 2.5% of the U.S. economy.
Tuesday, June 16, 2026
GAIT Fellows explore the use of AI in the classroom - Heather Skyler, UGA News
The Generative AI & Teaching Faculty Fellows program brought together 15 faculty members during the 2025-2026 academic year to develop, test and assess innovative classroom applications of generative AI. Through workshops, collaborative sessions and individualized support from teaching and learning specialists, fellows created AI-supported teaching projects aimed at improving student learning and engagement. Each fellow received a $3,000 stipend to support professional development or teaching resources, and the program culminated in the Generative AI and Teaching Colloquium, where participants shared their projects and sparked broader conversations about the future of AI-enhanced education at UGA.
California Colleges Must Add What AI Cannot Provide: Universal Leadership Education - Marty Treinen, Palm Springs Tribune
In the age of artificial intelligence, what must higher education become? And just as important: who should higher education be for? The answer can no longer be limited to traditional students, full-time degree seekers, or those who can afford the rising cost of opportunity. If California is going to lead the future, its colleges and universities must help open the door to everyone willing to develop themselves, improve their lives, and serve their communities. That includes high school students preparing for adulthood, college students seeking direction, working adults changing careers, entrepreneurs building something real, retirees and seniors with experience to contribute, the unemployed and underemployed, people with disabilities, veterans, immigrants, minorities, underserved communities, and every person who has never been offered a real pathway to leadership. That is the promise of Universal Leadership Education.
Monday, June 15, 2026
UNC to Partner With Public Libraries for Statewide AI Study - GovTech
Researchers at the University of North Carolina at Chapel Hill will partner with public libraries across the state to study local responses to AI and develop tailored approaches to improving AI literacy. North Carolina’s public libraries will help shape new approaches to artificial intelligence literacy statewide through a new university research initiative at the University of North Carolina (UNC) at Chapel Hill. Starting this summer and running through 2028, the two-year Local Libraries and Generative AI project will bring university researchers and local librarians together to study how different communities across the state are using generative AI, and how libraries can support residents in understanding and using the technology responsibly, according to a news release yesterday.
How AI is quietly changing what we think the human mind is on the deep differences between human minds and artificial ones - Shai Tubalig, Big Think
For all its alienness, however, Seth is convinced that the octopus remains our genuine kin, in a way AI may never be. What puzzles him is how easily our fascination with machines can eclipse this kinship. As a neuroscientist and professor of Cognitive and Computational Neuroscience at the University of Sussex, Seth has spent a lot of time thinking about how humans have come to liken themselves to AI systems. “It’s a two-way mirror in a sense,” Seth tells Big Think. “We see ourselves through the lens of the things that we create.” In academia, Seth says, the brain has long been imagined as a kind of computer. Now that AI systems seem smart and can talk to us, this old metaphor may seem far more concrete, galvanizing the idea that perhaps “that’s nothing more than we are.” You can also see this idea in responses to claims that large language models are “stochastic parrots” — systems that can generate human-like language by calculating statistical probabilities but without truly grasping the meaning.
Sunday, June 14, 2026
Most K-12 teachers say AI's impact on education will eclipse the internet or computers - Lee V. Gaines, NPR
The effects of artificial intelligence on learning are still largely unclear. But a new NPR/Ipsos poll of K-12 teachers found that nearly 3-in-4 believe AI has bigger implications for education than past innovations like the internet or computers. The nationally representative poll surveyed 545 respondents and paints a complex picture of teachers' views on AI: Many are using it to save time and improve their teaching materials, but a majority of teachers are worried AI is making it harder for students to learn to think for themselves.
Dual dimensions of artificial intelligence use among medical academia: related knowledge, attitudes and ethical concerns, a national survey, 2025 - Doaa Ibrahim Omar, Nature
AI integration into medical education and practice has its benefits and risks. This national web-based cross-sectional survey on Egyptian medical staff and students aimed to assess knowledge, attitudes, and concerns regarding the use of AI. This study comprised 2765 medical students and 500 medical staff, with a mean age of 20.8 and 29.9 years, respectively, and higher percentages of females among both groups. Medical students demonstrated satisfactory knowledge of AI compared to medical staff (p < 0.001). Unfortunately, the majority of both groups (80.4% of staff and 81.6% of students) expressed negative attitudes toward AI use. Male participants had significantly higher attitude scores than females in both groups.
Saturday, June 13, 2026
California State Bet Big on AI. Now Campuses Are Fighting Back - Temaz Tra, Meme Burn
CSU signed a major deal with OpenAI to give ChatGPT Edu access to students, faculty, and staff. Critics say the rollout came during budget pressure, layoffs, and deep confusion over AI rules. The story matters for South African universities too, as campuses from Cape Town to Johannesburg face the same AI trade-off. The real fight isn’t just about ChatGPT. It’s about who controls education when tech platforms move into the classroom.
Congressional committee examines higher education's role in teaching students to use AI - Bridger Beal-Cvetko, KSL
Utah Rep. Burgess Owens asked several education experts about the impacts artificial technology will have on college students during a committee hearing in Washington on Wednesday. Owens, who chairs the House Higher Education and Workforce Development Subcommittee, spoke of the potential benefits of using AI in education but said academic institutions should ensure students learn the skills necessary to succeed in an increasingly AI-driven workforce, without sacrificing other learning. The challenges presented by the new technology are "significant," he said.
Friday, June 12, 2026
Opinion: Moving Beyond AI Policies in Higher Education - Quimby Kaizer and Saravanan Subbaraya, Gov Tech
Every spring, college and university leaders watch another graduating class walk across the stage. It is a moment worth celebrating. Students worked hard. Faculty did their best to educate them. Families made sacrifices. And yet, for many presidents, provosts and chief academic officers standing at the podium this month, a central question remains: Are we leveraging AI effectively to both empower students and evolve how our institutions operate? This is both the challenge and the opportunity facing higher education, as headlines increasingly reflect parents and students questioning whether college is financially worth it.
https://www.govtech.com/education/higher-ed/opinion-moving-beyond-ai-policies-in-higher-education
University of Maine System to launch shared AI tool to accelerate student, institutional success - Bangor Daily News
The University of Maine System is leading the nation in preparing students for the modern workforce and improving organizational effectiveness with the investment and responsible integration of a shared AI tool. Maine’s largest educational and research enterprise and one of the state’s biggest employers has awarded its first System-wide enterprise artificial intelligence platform contract to ChatGPT Edu from OpenAI. Under the two-year agreement that will begin July 1, every UMS faculty member, staff member and matriculated student will have access to ChatGPT Edu, which was developed specifically for use in higher education settings, though whether and how they use it will be entirely up to them.
Thursday, June 11, 2026
Dreaming: Better memory for a more helpful ChatGPT - OpenAI
Today we’re beginning to roll out a more capable and scalable system for synthesizing memory, developed to tackle the staleness, correctness, and scalability challenges that we observe when memory is applied to the hundreds of millions of users and multi-year time horizons in ChatGPT. Memory is what helps ChatGPT learn your preferences, projects, and constraints, allowing future conversations to start from shared context rather than from scratch. Over the last two years, memory has grown into a critical part of the ChatGPT experience, helping ChatGPT better understand your context so it can help you accomplish meaningful goals over time. This is central to making ChatGPT more useful: knowing you, helping you, and doing more for you.
The board’s role in managing emerging AI risks - McKinsey
During a recent panel discussion, McKinsey and the National Association of Corporate Directors (NACD) gathered top chief information security officers (CISOs) and board directors, highlighting four priorities for effective oversight: strengthening governance and accountability, balancing innovation with risk, building real-time risk-management capabilities, and improving AI fluency in the boardroom. Together, these shifts signal that AI is no longer just a technology topic; it is now a core enterprise risk and strategic differentiator (see sidebar, “On the street: Sights and sounds from the world’s largest cybersecurity conference”).
Wednesday, June 10, 2026
AI isn’t eliminating gender gaps. It’s reorganizing them - Richard J. Smith, Ed.D., and Madeline Weiler, University Business
In the higher education workforce, women are overrepresented in office and clerical staff positions. They often occupy student-facing roles such as academic advising, which are relationship-focused positions with limited advancement opportunities. Not only are women far more likely to experience job displacement as administrative tasks are automated, but they are also less likely to hold the technical and decision-making roles that influence how AI is designed and deployed. Consequently, women are often positioned downstream of AI systems they did not build and cannot govern. Efficiency alone cannot guide effective AI strategies. Instead, leaders must advance technology and equity simultaneously. University policies should include safeguards to help ensure that employees are not quietly devalued through AI adoption.
AI Raises the Stakes for College Internships - Abby Sourwirne, GovTech
Internship postings on Handshake, a career networking site for college students and graduates, declined by more than 15 percent between January 2023 and January 2025, while the share of graduating students who applied to at least one internship rose from 34 percent to 41 percent. Yet even as internships grow harder to find, they're also becoming more important. According to the National Association of Colleges and Employers, internship experience with an employer’s organization or industry is among the most influential factors when employers choose between otherwise equally qualified candidates.Some colleges and universities are meeting this problem by providing credits for work experience, revamping on-campus work opportunities or directly partnering with local employers. If they don't, some workforce and higher-education experts warn, students will be left behind.
Tuesday, June 09, 2026
Will AI Help Revive the ‘Stale’ OPM Market? - Kathryn Palmer, Inside Higher Ed
Over the past few years, OPMs—including Coursera, iDesign and 2U—have adopted AI-powered features designed to enhance support for instructors and students through coaching, content creation, tutoring and curriculum mapping. According to an April analysis, 70 percent of OPMs are now deploying AI for such purposes. But experts are skeptical that the AI boom will have a big payoff for the beleaguered OPM market, which is attempting to rebound with the help of private equity after years of declining revenues, reputational damage and mounting government scrutiny.
AI Didn’t Break the University. It Revealed What Was Already Broken - Samuel J. Abrams, RealClear Education
I have argued in these pages before that AI itself is not the cause of the crisis; that blaming the chatbot for cheating and the LLM for loneliness is like blaming the calculator for poor math pedagogy. The deeper failure is institutional, and it preceded the technology. As I wrote here in March, the scarce resource in higher education is no longer knowledge but the human encounter itself. The most penetrating response to Hendrick’s essay confirms that and it did not come from another professor; it came from a 49-year-old graduate student named Norma Sancho, writing in the comments. Her reply has since circulated on its own, and it deserves to be read widely.
Monday, June 08, 2026
Are academics making an (em) dash for AI? - Times Higher Education
In the four years since its commercial launch, generative artificial intelligence has had a profound impact on personal and professional life. But are academics enthusiasts or sceptics? Five scholars explain how the technology has affected their own practice – for good and bad. Artificial intelligence writing is instantly recognisable, we are told—soulless, dispassionate, and devoid of the spark that marks genuine thought. Historian Jonathan Rees, in Academe this spring, calls it “bland, unspecific, pedestrian prose”. Journalist and UCL academic Sarfraz Manzoor, in a recent piece for The Independent, concluded that an AI article his students read was “competent but forgettable”. Scroll through r/professors on any given day and you will find dozens, if not hundreds, of colleagues enthusiastically nodding along and complaining bitterly about students submitting work that any fool can see was written by a machine.
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