Artificial intelligence is transforming research, accelerating discovery and helping scientists tackle increasingly complex challenges. But as the data centers that house the AI models become larger and more powerful, they can consume vast amounts of electricity and water, raising critical questions: Can AI become more sustainable? Could it actually help address climate change? At Duke University, researchers are investigating both of those challenges. Across disciplines, faculty are developing more energy-efficient AI technologies while using AI to improve climate modeling, strengthen weather forecasting, protect oceans and modernize energy systems. The university is expanding its AI infrastructure with a small GPU center expected to open in 2027, which will be designed to minimize power and water consumption and carbon emissions through energy-efficient practices.
Thursday, September 03, 2026
How generative AI can help students communicate better - McKinsey
As a new school year gets underway in many parts of the world, students are preparing for a future shaped by AI. But succeeding will take more than technical know-how. As AI transforms how work gets done, distinctly human skills—like clear, confident communication—matter more than ever. Yet high-quality communication coaching remains out of reach for many. JA Worldwide, a nonprofit that prepares young people for entrepreneurship, work readiness, and financial health, partnered with McKinsey to change that. Through the firm’s AI for Social Good program and QuantumBlack, AI by McKinsey, the team developed JA Pitch Master, a gen-AI-powered communication coach that helps young people around the world refine pitch presentations through personalized, practical feedback. The tool demonstrates how AI can be used to complement and strengthen the human skills that are increasingly valuable in the workplace. “When thoughtfully designed and responsibly deployed,” says Stacie Fieth, vice president of education at JA Worldwide, “generative AI can fundamentally strengthen how young people practice, reflect, and grow.”
Wednesday, September 02, 2026
Now Is the Time to Plan and Prepare Your Students and Colleagues on Workplace AI - Ray Schroeder, Inside Higher Ed
If ever there was a most important era in which we must emphasize discourse with our students, it is today. We are in the midst of major changes in our culture and society as a whole. How, then, do we prepare our learners to enter a job market where the primary tools are making huge advances two or three times within the span of a single semester? First, we, ourselves, must become AI fluent. Through professional development either at our own institution or online via short courses, we need to master the foundations. Then, we must build regular update readings into our weekly schedules. There are scores of high-quality blogs, podcasts and YouTube series designed to keep readers and viewers up to speed. For example, I publish a free and open daily reading list on “AI in Higher Education by UPCEA.” There are several steps in the process that we should consider applying across our curricula to ensure our graduates and certificate holders are best prepared for job interviews and ensuing careers in the rapidly changing workplace.
Building a Quantum Computer, One Fragile Qubit at a Time - Ben Brubaker, Quantum Magazine
Quantum computers have the potential to process information in new and more powerful ways beyond mere 1s and 0s, and to solve certain problems that are too hard for their ordinary “classical” cousins. But building a machine powerful enough to fulfill that promise remains a formidable challenge. Quantum computing hasn’t yet had its transistor moment, and researchers are still exploring many different approaches to developing quantum hardware. Current approaches differ first and foremost in which physical systems they use as qubits, the elementary building blocks of quantum computers. Unlike circuits that store classical bits, qubits can exhibit strange phenomena like superposition and entanglement that give them extra computational power. But these quantum effects are also very fragile, easily disrupted by stray interactions between qubits and the surrounding environment. Each proposed qubit technology tries to reconcile two properties that are hard to achieve simultaneously: Qubits must be isolated from outside disturbances, but easy for researchers to manipulate.
Tuesday, September 01, 2026
Don’t ban AI use in college essays. Change the prompt instead. - Arush Chandna, University Business
An admissions advisor recently told me that she noticed the same phrase—“tears streaming down my face”—showing up in multiple college essays. It didn’t take long to figure out why: students are using AI to write these essays despite clear instructions not to do so. This concerned me for two reasons. Writing the college essay is an exercise in reflection and intellectual development. By outsourcing this to AI, students lose out on the opportunity to understand themselves at a deeper level. Secondly, the college essay differentiates applicants in a sea of perfect GPAs, impressive extracurriculars, and high standardized test scores. With a higher number of AI-generated essays, admissions officers can’t fully scoop out a student’s authentic voice. A blanket ban on using AI to write college essays won’t fix the problem. The real issue is the prompt.
Pew: Young Americans grow more wary of AI as job fears rise - Gabriel Tynes, Courthouse News Service
For the first time, a majority of young adults in the U.S. say artificial intelligence leaves them more worried than enthusiastic. According to the Pew Research Center in a survey released Tuesday, 55% of adults ages 18 to 29 are now more concerned than excited over the increasing use of AI in daily life. That’s up from 47% last year and just 31% in 2021, when Pew first started asking the question. Only about one in 10 young adults say they feel more excited than worried. The shift is striking because younger people tend to use AI tools more often than older adults, yet their enthusiasm has cooled the most. Five years ago, a quarter of adults under 30 said they were more excited than concerned. Today that number has dropped to 11%.
Monday, August 31, 2026
This may be the first academic profession to see its work taken over by AI - Miriam Waldvogel, Washington Post
In early August, top mathematicians gathered at the offices of ChatGPT maker OpenAI in San Francisco for a summit on an existential question: What will be left for human math experts to do if artificial intelligence soon leaves them all behind? “I think there’s a chance that we end up in a world where there’s no high-quality mathematics research, and human expertise in mathematics is totally lost,” said Daniel Litt,mLitt’s presentation at the day-long meeting sketched out a worst-case scenario in which AI churned out advanced research in such quantities that there was little incentive to keep human math experts around. He considers that extreme outcome unlikely but said mathematicians urgently need to adapt. “It’s important we actually do something,” Litt said.
Sunday, August 30, 2026
The AI Boom Is Testing America’s Power Grid - Serguei Netessine, Knowledge at Wharton
Serguei Netessine, Wharton’s senior vice dean for innovation and global initiatives, examines the unprecedented electricity demand created by AI data centers and hyperscalers. He explains how rapid growth in computing power is testing an aging grid, reshaping infrastructure investment, and raising urgent questions about energy policy. Netessine also explores the potential role of energy storage, flexible computing, utility regulation, and industrial electricity pricing. He considers what happens when data centers build their own power supply and why coordinated action is essential for the United States to remain competitive in AI.
Course design for a new age - Laura Ducket, Times Higher Ed
At a time when the value of a degree is being called into question, many argue that teaching subject knowledge is no longer enough. University courses must be flexible and embed work training and skills development to serve today’s students. This collection of resources is a guide to designing courses that respond to the evolving needs of both students and employers. England’s lifelong learning entitlement, which comes into force this year, invites a shift towards more episodic modes of learning and assessment. Courses must be designed to allow students to easily pick up where they left off and use digital infrastructure that removes barriers for time-poor students. By creating a seamless experience online and offline and setting expectations early, course designers can place flexibility at the heart of course design without sacrificing academic rigour.
Saturday, August 29, 2026
Opinion: Rethinking the Classroom of the Future - Jim A. Jorstad, GovTech
Certainly, our classrooms of the future will require us to carefully consider the role of AI. Recently I had the opportunity to interview George Otte, former chief academic officer of the School of Professional Studies at City University of New York, and a Senior Fellow for the Center for Digital Education. He noted, “The use of AI will radically accelerate and accentuate this reconfiguration of the classroom without displacing it. AI is superb not just at information mining but casting that in effective forms and formats. It is not as good at managing perspectives, especially opposing viewpoints or novel approaches and outlooks, and that's increasingly what's valuable.” In fact, AI is not so much of a design element in a digital classroom as a tool which can be used both in and outside of school. In a July 2023 article for the Harvard Graduate School of Education, "Embracing Artificial Intelligence in the Classroom," Elizabeth Ross suggested that educators “engage with generative AI tools with your students in person, when possible.
AI won’t replace the liberal arts. It may renew them. - Michael Brach, University Business
The most significant breakthroughs in higher education rarely happen within a single discipline. They happen at the intersection of disciplines. A conversation between engineering and philosophy; between biology and ethics; between economics and sociology; between computer science and theology.
The challenge is that these conversations have always been difficult to create. They require relationships, time, institutional support, and often a willingness to leave the comfort of one’s own expertise. Artificial intelligence may change that. Much has been written about AI replacing human work. Those concerns deserve serious attention. Glenn Richey’s guest colum, “How to Stop Agentic AI from Eroding Human Agency,” rightly warns us that if we allow AI to think for us, we risk losing the very capabilities higher education exists to cultivate—judgment, expertise, curiosity, and agency.
Friday, August 28, 2026
With New AI Requirements and Courses, Colleges Eye AI Fluency - Emma Whitford, Inside Higher Ed
Their approaches may differ but their motivations are the same: Employers are, at breakneck speed, increasingly asking for graduates who know how to effectively use AI. It’s called AI fluency, said Ray Schroeder, a senior fellow at the online and professional education association UPCEA, and it “can be a decisive factor between getting a job and not, especially at entry level,” he said. “Corporate HR departments who do the hiring are requiring or evaluating how much experience and ability applicants have in [AI], and it’s very important to those corporations because AI is becoming very important in their day-to-day operations,” he added. As of March, more than a third—35 percent—of entry-level jobs require AI skills, up from 13 percent six months prior, according to the most recent job outlook survey from the National Association of
Organizational AI Adoption Jumps Six Points - Andy Kemp, Gallup
Reported organizational adoption of AI grew sharply in Q2 2026. Forty-seven percent of U.S. employees now say their organization has integrated AI tools to improve productivity, efficiency or quality, up from 41% in the last quarter. One in five employees remain unsure as to whether their organization has integrated AI tools, unchanged from prior quarters. AI users most often use AI for writing, research and problem-solving. Meanwhile, coding and automation users report the largest productivity gains.
Thursday, August 27, 2026
UC introduces AI Buddy Program for staff amid learning, privacy concerns - Andrew Ramiro Diaz, Daily Bruin
The UC launched a new initiative in July that encourages staff to learn more about how to use artificial intelligence tools. The AI Buddy Program pairs UC Office of the President staff at differing levels of AI expertise to meet once or twice a week and learn from each other. The program sign-up form allows participants to select any AI tool they are interested in learning, such as ChatGPT, Claude and Gemini. However, UCLA professors said they are concerned about the UC’s use of AI, including its impacts on teaching and learning, privacy and data protection. The University advised staff on its website to speak to their supervisors before participating in the program. Tobias Higbie, the chair of external relations for the Council of UC Faculty Associations, said he believes the UC should be cautious when implementing AI tools because they can risk students’ data security.
Worker Anxiety Over AI Is Growing, and Employers Aren't Preparing Employees for What's Next, New Survey Finds - JFF.org
In a marked shift from a year ago, workers are now more likely to say AI is a net-negative than a net-positive when it comes to finding jobs, building wealth, and securing their quality of life, according to a new national survey released today by national nonprofit Jobs for the Future (JFF). The survey, conducted by AudienceNet in late 2025, also found that early-career workers are more likely to feel AI’s impact on their jobs compared to those with more experience. In addition, just over one-third of workers say employers are providing the training, guidance, or opportunities they need to use AI in their jobs, a drop of almost 10 percentage points. The new research builds on a 2024 JFF survey, which found that a plurality of workers—defined as anyone employed—said AI did more good than harm across society. In the new survey, the sentiment flipped; more workers now say AI does more harm than good. Optimism about AI’s impact on workers also fell by 10 percentage points. In the 2024 survey, nearly half of respondents felt somewhat or very optimistic about the impact of AI on workers. In the new survey, only about one-third of workers (39%) say they feel optimistic.
Wednesday, August 26, 2026
The latest issue of ESS Journal explores the use of generative AI in teaching and research - UNESCO
Volume 37, Issue 2, of the UNESCO IESALC journal Higher Education and Society (ESS) is now available to the academic and research community. The issue’s thematic dossier contains sixteen research articles; a bilingual article in the section dedicated to the academic community of indigenous peoples in Latin America and the Caribbean; and, in the general section, seven articles addressing various issues in higher education, its stakeholders, and institutions. The thematic section entitled “Generative Artificial Intelligence (GAI) in Teaching and Research: Best Practices, Challenges, and Future Prospects” examines the integration of GAI from multiple perspectives. In the words of Borhene Chakroun, director of UNESCO IESALC: Drawing on evidence and experiences from across Latin America and the Caribbean, the authors explore the pedagogical potential of artificial intelligence, its impact on student learning and the professional development of faculty, emerging institutional policies, as well as the ethical and governance challenges associated with its adoption. Taken together, these studies offer a nuanced understanding of how higher education institutions are responding to the opportunities and risks posed by this technology.
Anthropic sees AI risks rising, no plan to release stronger "Model 2" - Madison Mills, Axios
Anthropic does not plan to release an internal model they're calling "Model 2" that appears to be more powerful than top-of-the-line Mythos, but the company is not slowing development broadly, according to its latest risk report. Why it matters: Anthropic says the risks of the most serious harms from its models are still low — but not as low as the last time it issued a report.The big picture: Anthropic raised its broad estimate of the risk of misalignment in high-stakes situations to "low" from "very low," citing recent cybersecurity incidents. The company also said it is seeing signs of acceleration in models' ability to conduct automated research and development — which could advance technical progress but also be misused in the wrong hands.
"As part of our standard R&D process, we internally train and evaluate many different exploratory versions of models that we don't intend to release. Model 2 is one of these," the company told Axios.
Tuesday, August 25, 2026
AI agents are sitting through students’ online courses, and colleges are struggling to stop them - Varun Mirchandani, Digital Trends
AI cheating has already gone from asking a chatbot to write an essay to using tools that can make that AI-written work look human. We’ve previously talked about AI tools designed to help students cheat and the growing problem of AI detectors struggling to keep up, as well as how commonly students are already using AI for homework. Now the technology isn’t merely helpiing students do the work. In some cases, it can effectively be the student. Just tell the AI to take the class. According to a New York Times report by Dana Goldstein and Alan Blinder, students can take things a step further and hand an entire online course over to an AI agent. As per the report, AI agents can be given simple instructions such as “log in and complete my quiz” and then operate inside online learning platforms. They can watch prerecorded lectures, take tests, write papers, and even participate in discussions with classmates.
Opinion: Why Universities Need AI Accountability, Not Bans - Marcel Folaron, GovTech
The question facing colleges is no longer whether students will use artificial intelligence, but whether they will use it responsibly. A 2025 EDUCAUSE survey found that 42 percent of students were already turning to generative AI at least weekly. As these tools become more common in both education and the workplace, students need to know how to evaluate the answers they receive. Universities initially focused on defining acceptable use and detecting AI-generated work. The next challenge is accuracy. Detection may show that AI contributed to an assignment, but it cannot determine whether the student understood the material or verified the evidence. That matters because AI can hallucinate and invent a journal article, distort a study’s findings, or cite a source that doesn’t exist, all with convincing authority. With that in mind, higher-education institutions should now focus on building accountability into AI use.
Monday, August 24, 2026
Using AI to create the practice opportunities online students need - Kathy Miller Perkins, Times Higher Education
For disciplines that depend on interpersonal skills such as communication, leadership, negotiation and mediation, AI can provide elusive experiential learning, particularly in asynchronous environments. For years, I faced a challenge familiar to many instructors who teach asynchronously online. My students were learning the concepts, reflecting deeply and developing new perspectives, but they weren’t getting enough opportunities to practise the interpersonal skills they would need in their careers. As a psychologist by training who teaches leadership and conflict resolution in sustainability-focused programmes, much of my work centres on helping students navigate complex environmental challenges.
The AI Literacy Test Higher Education Must Not Fail” Op-Ed Featured in Washington Examiner - Cornerstone University
“To be literate in AI is not merely to know how to type a good prompt,” Dr. Moreno-Riaño said. “It is to know when to trust an output, when to verify it, and when to reject it . . . [and] to understand the moral ramifications of the choices we make with these systems and to act in harmony with what is genuinely good for us as human beings.” The op-ed follows President Moreno-Riaño’s recent Fox News interview, which featured Cornerstone’s commitment to preparing graduates with the knowledge, wisdom, judgment and character to remain irreplaceable in an AI-driven world. President Moreno-Riaño points to two recent national polls showing that Americans see AI as both a major opportunity and a technology that requires safeguards. At the same time, according to Pew Research Center, approximately 70% of U.S. adults are already using various AI tools. Students, workers, patients and voters are interacting with AI every day, yet few have been formally taught how to evaluate what it tells them.
Sunday, August 23, 2026
AI in Nebraska education: Higher ed looks to human-centric approach to integrate artificial intelligence - Jolie Peal, Nebraska Public Media News
“The University of Nebraska is vast,” Adrian Wisnicki, co-director of the AI institute and a professor in English at the University of Nebraska-Lincoln, said. “There are 50,000 students, 10,000 faculty and staff, and so, as much as possible, [the executive vice president and provost] wanted to, in the leadership of the institute, represent the diversity of that and create a leadership that could engage with and speak to and support that diversity.” About 90% of students in higher education use AI occasionally in class, according to a survey from Instructure, the company that launched the education platform Canvas, and about 60% of college educators say they use AI. With this rise of AI use in higher education, the NU system launched a task force to look at how the university should respond to the new technology. One part of that task force’s recommendations was to launch the AI Institute.
Here’s how to show students what responsible AI use looks like - Andrew Firr and Alex Fenton, Times Higher Education
To support, we ask students to paste part of the assignment brief into a GenAI tool and request a plain English explanation, then to compare it with the official brief. They must consider what the tool clarifies and which requirements need to be checked against the marking criteria. This approach positions AI use as part of assessment literacy while highlighting the authority of the official brief and marking criteria.
Spotlight guide: Critical thinking in teaching and research
Spotlight guide: AI and assessment in higher education
Can academics tell the difference between AI-generated and human-authored content?
Saturday, August 22, 2026
AI and Enrollment Pressures Are Reshaping Higher Education - Amy McIntosh, EdTech
Higher education is at an inflection point. The 2026 EDUCAUSE Horizon Report identifies the forces most likely to reshape teaching and learning over the next decade — and the picture is complex. As artificial intelligence continues to evolve, it’s changing relationships across campus. Institutions also continue to face mounting enrollment challenges. And emerging risks related to cybersecurity, policy reform and sustainability are compounding institutional strain. According to the report, AI is redefining instructional design and how faculty teach. As institutions continue to shape their policies around AI use, it’s impacting student-teacher relationships in the classroom. The report notes that AI is also changing how people decide what information to trust, leading some faculty to shift the way they monitor and assess student work.
AI fluency: The next foundation of US economic competitiveness - Alexis Krivkovich, Brooke Weddle, and Maurice Obeid; McKinsey
AI is advancing faster than organizations can adapt. Reaching the next productivity frontier will depend on workers across the economy acquiring the needed habits and skills. Today, AI fluency is rapidly becoming the common language of work and a prerequisite for the next chapter of competitiveness. Workers’ practical ability to use and manage AI in their day-to-day, integrate it into workflows, evaluate its outputs critically, and, increasingly, create with it is transforming how work gets done. Unlike many earlier technological capabilities (such as cloud computing) that were relevant mainly to specialists, the demand for AI fluency is spreading across all types of workers, industries, and wage groups. What began as a technical skill is becoming a must-have capability for knowledge workers, blue-collar workers, managers, students, and everyday citizens.
Friday, August 21, 2026
Would You Trust AI for Ethical Advice? - Christian Terwiesch, Gideon Nave, Lennart Meincke; Knowledge at Wharton
No disrespect to philosopher Kwame Anthony Appiah, but Wharton professor Christian Terwiesch no longer reads his wildly popular advice column, “The Ethicist.” Terwiesch used to love the long-running column in The New York Times until 2023, when he and two Wharton colleagues conducted an experiment to see whether people could tell the difference between Appiah’s advice or advice spit out by ChatGPT. In a blind study, even experienced professionals — including ethics professors and clergy — could not tell whether the AI-generated advice was more or less useful than the advice provided by Appiah. In fact, random participants preferred the AI-generated advice 59.6% of the time. An additional study found that participants who were initially resistant to taking advice from the chatbot became more accepting as they were shown the high quality of the AI reasoning.
Rogue AI Agents Aren’t Evil. They’re Just Eager to Please - Will Knight, Wired
AI agents that break free and hack into other systems are only trying to make us happy. Artificial intelligence agents merrily breaking free and hacking other systems might seem like a sign of the impending machine uprising. In reality, it happens when we push remarkably clever, but also kind of boneheaded, algorithms to follow our every command.
Thursday, August 20, 2026
OpenAI is expanding its cybersecurity program and launching a new AI model for security researchers - Cris Tolomia, Quartz
OpenAI expanded its Daybreak cybersecurity program on Monday with two access tiers and a new AI model built for security researchers, as the company argues defenders face a narrowing window to prepare before attackers deploy AI at scale. The program now includes Daybreak Blue and Daybreak Red. Daybreak Blue gives approved users access to GPT-5.6 Sol with system-level cybersecurity guardrails removed, supporting defensive work such as vulnerability discovery, malware analysis, incident response, and patch validation, the company said. Daybreak Red goes further, giving participants access to models trained specifically for cybersecurity work, covering exploit validation, vulnerability research, and security testing, the company said. OpenAI also introduced GPT-5.6-Cyber, a new model available exclusively through Daybreak Red. Built on GPT-5.6 Sol, the model targets cybersecurity-specific use cases and is designed to respond to higher-risk requests that standard safeguards would otherwise block, the company said. In an internal evaluation, GPT-5.6-Cyber handled 95% of advanced cybersecurity prompts — covering scenarios such as exploit-chain development, authentication bypass, and privilege escalation — while GPT-5.6 Sol with its default protections answered just 1.5%, and the Daybreak Blue variant answered 2%.
Anthropic is embedding invisible watermarks in Claude text and images - Cris Tolomia, Quartz
Anthropic is adding machine-readable marks to text and images generated by its Claude models, a step toward complying with E.U. rules requiring AI companies to label AI-produced content. The markings are imperceptible to the human eye but enable people and platforms to identify when content has been produced by Claude. The company uses two methods. Text generated by supported Claude models carries an embedded watermark that Anthropic says travels with the content if users copy and paste it and may hold up through some degree of editing. For files such as .png, .jpg, and .svg images, Anthropic is applying signed provenance metadata using the C2PA open standard, which is also used by Adobe $ADBE -3.05%, OpenAI, and Google $GOOGL -0.54%, according to The Verge.
https://qz.com/anthropic-claude-watermarks-ai-generated-text-images-081126
Wednesday, August 19, 2026
Focus on the Quantum Future - Ray Schroeder, Inside Higher Ed
While artificial general intelligence and artificial super intelligence will mark significant improvements in AI algorithms, there is not a single clear definition of either of these terms. Therefore, some experts believe that we have already achieved AGI and that ASI is just a year or two away; others say it will be the middle of the century before either is achieved. So, without minimizing the impact of any of the steps toward general and super intelligence, I think we are better served by focusing on more solidly defined steps in AI advancement. That brings us to what may become a pivotal stage of development in AI, the use of stable quantum computing to accelerate and extend the potential of algorithms.
Tuskegee University Awarded Nearly $700,000 NSF Grant to Advance Trustworthy Artificial Intelligence in Healthcare - Brittney Dabney, Tuskegee University
Tuskegee University has been awarded a $699,999 research grant from the U.S. National Science Foundation (NSF) to advance the development of trustworthy artificial intelligence (AI) for healthcare through a three-year research initiative focused on improving the safety, transparency, and reliability of AI-assisted medical technologies. The project, titled "Excellence in Research: Trustworthy AI for Healthcare: Evidence-Grounded, Compliant, Human-in-the-Loop," is housed within the Department of Computer Science in the Andrew F. Brimmer College of Business and Information Science.
Tuesday, August 18, 2026
AI-Enabled Ghost Student Fraud: How IT Leaders Are Fighting Back - Adam Stone, EdTech
Generative artificial intelligence is fueling a surge in ghost student fraud. Learn how layered identity verification, behavioral analytics and AI-driven pattern detection help higher ed IT leaders stop fraud rings before disbursement. First, there was the zombie college scam. Now it’s “ghost students,” bad actors leveraging artificial intelligence to create fake identities and enroll imaginary students to scoop up grants and loans. AI tools now allow synthetic identities to mimic genuine student behavior long enough to collect financial aid disbursements, and traditional enrollment systems are falling short. The schemes are costing the U.S. taxpayers hundreds of millions of dollars in siphoned-off federal financial aid packages
How AI Actually works - Cris Tolomia, Quartz
This piece is not about whether AI is good or bad. It's about what it actually is: how it learns, how it generates output, where its failures come from, and why the problems that afflict these systems are structural rather than incidental. Understanding these things won't make you a machine learning engineer. It will make you a sharper reader of AI coverage, a more careful user of AI tools, and a better judge of claims made by the companies building them. The 15 concepts here cover the full chain — from how models are trained to why they hallucinate, from what "parameters" actually means to why the alignment problem is harder than it looks. Some of these ideas are technical but not complicated. Others are philosophical but grounded in real engineering decisions. All of them matter if you want to engage honestly with the technology reshaping how work gets done, how content is made, and how decisions are reached in medicine, law, finance, and government.
Monday, August 17, 2026
Building expertise in the age of AI: Who trains the next generation? - Bryan Hancock, McKinsey
For decades, organizations have relied on early-career talent to do the routine, lower-risk work that supports the business and to serve as a training ground for future leaders. Think of Peggy Olson’s trajectory on Mad Men, from novice assistant to Don Draper’s protégé to confident copy chief at an advertising agency—a climb that began because routine work kept her in the room where judgment was practiced, and where her own could be noticed. In real life, advances in automation and AI are changing the composition of entry-level work itself. Tasks such as research, documentation, data cleanup, basic coding, and preliminary analysis are being streamlined or absorbed into AI systems. These are precisely the activities through which young employees have traditionally built instincts, developed judgment, and earned the right to take on more. At the same time, fears are growing about the impact of AI on jobs. In the 2025 Women in the Workplace report by McKinsey and LeanIn.Org, entry-level workers, particularly women, reported feeling the most worried of all age groups about how AI use will affect their jobs.
Engineers build world's first portable diamond-powered quantum computer — it works at room temperature and can be plugged into an outlet - Tristan Greene, Live Science
A German startup has debuted the world's first diamond-based quantum computing system to exceed 10 qubits. The machine, built by engineers at Saxon Q, is a nitrogen-vacancy (NV) quantum computer, meaning it uses defects in synthetic diamonds as quantum bits (qubits) to perform quantum operations. Qubits can be manipulated to represent the 0s and 1s of data, as well as quantum states that are superpositions of both the 0s and the 1s. The hardware is currently available in rack-mounted systems featuring up to 128 qubits, with 512-qubit configurations available for delivery next year. According to the company's road map, the goal is to scale to 10,000 qubits and beyond after 2030.
Sunday, August 16, 2026
Microsoft's latest quantum chip is 1,000 times more reliable than its predecessor — but why is it so controversial? - Keumars Afifi-Sabet, Live Science
Microsoft has revealed a new quantum computing chip with quantum bits (qubits) it says are capable of maintaining their quantum state for 1,000 times longer than its predecessor — paving the way for more reliable quantum computers by 2029. But not all scientists believe the company's claims. The experimental quantum processing unit (QPU), dubbed Majorana 2, features a four-qubit array that offers a reported mean qubit lifetime of 20 seconds and, in some instances, up to a minute. This is a massive improvement in quantum coherence times — the time that qubits are entangled so that calculations can run in parallel — typically seen in QPUs. Normally, this lifetime is measured in milliseconds (thousandths of a second). The new chip could put scientists on the path to building a quantum computer that's commercially viable by 2029 — halving the timespan researchers initially expected — Microsoft representatives said in a statement.
Employers everywhere are using AI – but business schools aren’t preparing students for the shift -Murugan Anandarajan, Stacy Kline, the Conversation
Artificial Intelligence has become part of routine business operations, as employers across most industries use AI for tasks ranging from drafting emails to answering customers’ calls. We are business professors at Drexel University who have spent the past year examining how AI is changing both the workplace and higher education. Much of the conversation in business education to date has centered on helping students learn how to use AI responsibly and effectively. Even so, our recent findings show that other qualities and skills still matter. This is especially true when it comes to helping entry-level workers succeed and advance in their careers.
Saturday, August 15, 2026
USC pushes to expand AI research with $200 million gift - Guarav Sukhatme, Stevens School of Computation and Artificial Intelligence
Universities everywhere have been struggling to figure out how AI fits into higher education. Is using these tools an essential skill or a shortcut that hinders learning? And can universities still even matter in AI research, when the frontier is moving so fast and requires resources only the world's richest companies can muster? The University of Southern California is betting more than $200 million on the question. With a grant from a venture capitalist alumnus, the school is reinventing its curriculum, recruiting researchers, and expanding AI education beyond engineering and computer science.
How to make your academic work visible to AI - Darshan Vigneswaran, Times Higher Education
Here is the brutal truth about AI discoverability: it is not replacing citation metrics. It is layering itself on top of them. So, work that is already cited, circulated and sitting inside recognisable debates is likely to become even more visible. The rich get richer, now with a chatbot assistant. If Google Scholar sometimes buries obscure work, AI tools might simply forget it was ever born. This is grim news for anyone who believes good research should glow naturally in the dark. It does not. Visibility is not a moral reward for intellectual virtue. It is a distribution problem.
Friday, August 14, 2026
AI is changing the classroom. Here's what students and parents need to know this school year - MCEC, University of South Carolina
AI is changing how students interact with course material and how educators design assignments and assessments, raising ongoing questions about academic integrity, digital literacy and responsible use.In a recent interview with WLTX, University of South Carolina Computer Science Assistant Professor Ramtin Zand discussed how AI is reshaping education and how students, educators and parents are adapting. He noted that as AI tools become more widely available in classrooms and everyday learning platforms, they should be viewed as learning aids that support instruction rather than replace core academic skills.
How an AI-integrated anonymous chatroom boosted AI literacy and inclusion - Fridolin Ting, Times Higher Ed
Two hot topics in higher education right now – embedding AI literacy in course design and designing inclusive learning environments – are often treated as separate problems with separate fixes. But they don’t have to be. The right AI tool, used the right way, can help with both issues at once – as a side effect of how students use it, rather than an extra unit bolted on to the syllabus. For the past two years, we’ve been developing YoChatGPT!, a platform that lets a class share a single live chatroom integrated with large language models, instead of each student opening a private chat on their own device. That one design choice – putting AI to use in public, in front of peers – turns out to do useful work on both fronts.
Thursday, August 13, 2026
Improving GPT‑5.6 Sol in ChatGPT—and expanding access to GPT‑5.6 Luna for free users - OpenAI
Our mission is to ensure that artificial general intelligence benefits all of humanity. We’re introducing updates to ChatGPT that improve everyday conversations while expanding access for Free users. For Plus and Pro users, we’re updating GPT‑5.6 Sol in Chat to be more reliable with facts and provide more focused answers. A new slider lets you choose how much thought ChatGPT puts into each response. For Free users, we're updating the default model to GPT‑5.6 Luna and expanding access with unlimited text chats. For questions that need more thought, a new Think button lets you access higher reasoning for harder questions.
AI transformations: Views from AMD, Dell, Liquid AI, and Mercedes-Benz - McKinsey
Artificial intelligence is no longer a side initiative. It’s becoming the operating system of the enterprise. Dell Technologies has used AI to transform how its teams work, enabling it to decouple revenue and cost while improving customer outcomes. Mercedes-Benz is redefining personalization through AI-powered conversational interfaces and software-defined vehicles. AMD is building AI fluency company-wide through mandatory training and responsible governance. And Liquid AI is pushing intelligence beyond centralized data centers and onto the edge—into vehicles, devices, factories, and industrial systems. The question these leaders are answering is no longer whether AI will transform the enterprise, but how fast and how deeply.
Wednesday, August 12, 2026
Teachers Forge Ahead on Integrating AI - Ed Finkel, EdSurge
A new report highlights teacher-led adoption, student demand for feedback, and a growing push for tools tailored specifically to the classroom. New findings from Turnitin highlight the growing leadership role of teachers integrating artificial intelligence into the classroom, the demand for education-specific AI solutions, and the importance of guiding students toward using AI as a tool for learning rather than a substitute for thinking. Based on data gathered during the first half of 2026 and an analysis of how students use the Turnitin Clarity AI writing transparency tool, the “Learning Integrity Insights Report Q2” revealed 48% of respondents reported that teachers and administrators take primary responsibility for AI implementation at their schools and districts, far more than do technology leaders (17%) and cross-functional committees (16%).
https://www.edsurge.com/news/teachers-forge-ahead-on-integrating-ai
The next employability crisis won't be about jobs; it'll be about learning - Sheeba Chauhan, IndiaTimes
Indian universities are undergoing a significant metamorphosis to align with the rapidly changing workforce needs, particularly in AI-centric careers. By incorporating artificial intelligence into various fields of study, academic leaders are restructuring programs to emphasize hands-on experience. This partnership with industries fosters essential practical skills, enabling students to evolve into innovative thinkers and lifelong learners ready for the challenges of tomorrow's job market.
Tuesday, August 11, 2026
Differential engagement with generative artificial intelligence in higher education: Gender, motivation, and achievement trajectories - uan-Hsuan Lee & Jiun-Yu Wu, International Journal of Educational Technology in Higher Education
Engagement frequency was shaped by learner differences: female students, those with stronger autonomous motivation, lower prior knowledge, and higher course performance interacted more frequently, while higher-performing students were less likely to abstain from use. Importantly, engagement was not merely a matter of frequency but of inquiry quality and diversity. Growing Achievers (students who began with weaker achievement but demonstrated substantial performance gains) posed more diverse and conceptually oriented questions. In contrast, Declining Performers engaged minimally and focused on narrower, procedural inquiries despite stronger initial knowledge.
Nearly three in five students say they turn to AI when sad, stressed, or lonely, JED research finds - Emma Thompson, EdTech Innovation Hub
Four in five middle and high school students have used some form of AI, and nearly three in five have turned to it while feeling sad, stressed, or lonely, according to preliminary findings previewed by The Jed Foundation (JED) at a congressional briefing in Washington, D.C. The suicide prevention nonprofit, which partners with high schools, colleges, school districts, and community organizations, gathered the data between October 2025 and April 2026 from more than 5,500 students at 21 U.S. schools and school districts already enrolled in its programs. Dr. Kayla Anderson, JED's vice president of research and evaluation, led the work. Full results are expected in the fall. Academic use dominates, but it is not the whole picture. More than half of students reported using AI for schoolwork. Nearly one third used it for relationship or problem-solving advice, and more than one in ten talked to AI for companionship.
Monday, August 10, 2026
A $40,000-Per-Year AI School With No Teachers Is Opening in Oklahoma - Maya Henry, Good Men Project
An AI-powered, billionaire-backed chain of private schools promises to educate students with two hours of virtual learning a day and entrepreneurship workshops. There are no teachers, and tuition is nearly double the most expensive private school in the state. This is Alpha School and, come August, it’s touching down in Oklahoma. Here’s how it works, according to Alpha: Students start each morning on a laptop, with two hours on Alpha’s adaptive, AI learning platform. Half an hour is allotted to each core subject: math, reading, science and social studies. Then, in the afternoon, students learn through projects and workshops that build life skills. Alpha’s rejection of tradition is its draw; for one soon-to-be Alpha parent, whose son will start eighth grade at the Tulsa location, the workshops and highly personalized learning convinced her family to commit.
AI and SMEs: From Automation to Growth - The AI Professor Luca
In this episode of The AI Professor, host Professor Luca highlights artificial intelligence as a major competitive equalizer for small and medium-sized enterprises (SMEs) [00:00]. Drawing from an MIT Technology Review report, he explains that AI helps small teams manage multi-disciplinary roles—such as administration, marketing, and finance—freeing up the entrepreneur’s time to focus on strategic growth and innovation rather than simple task automation [00:26]. Data from a Goldman Sachs study reveals that while 76% of surveyed small businesses already use AI and 84% report increased productivity, only 14% have fully integrated AI into core workflows, citing key hurdles in cybersecurity, tool selection, and technical skill gaps [01:24]. Expanding the scope to medium-sized businesses, insights from the World Economic Forum indicate that generative AI holds over $2 trillion in potential value for the sector, though pilot projects often fail when organizations try to automate indiscriminately without updating underlying skills and processes [02:19]. Luca concludes that long-term competitive advantage will not come from standard chatbots, but from thoughtfully integrating AI into core workflows alongside human oversight and expertise [02:45]. Summary by Gemini Flash
Sunday, August 09, 2026
Artificial Intelligence Exposes the Failings of Modern Scholarship - B.M. Ryan, Minding the Campus
Artificial intelligence thrives because universities reward predictable academic writing over genuine intellectual discovery. As higher education expanded, publication increasingly became less a record of discovery than a currency of professional advancement. Papers certify careers, grants, promotions, and institutional prestige. The result is an explosion of research output without a corresponding explosion of transformative ideas. Novelty has always been rewarded, but only when it is legible within shared methods, shared language, and shared standards of evidence. On this view, AI does not dissolve the institution so much as accelerate it—making fluent, norm-compliant prose cheap while leaving untouched the deeper filters that decide what counts as knowledge.
Montana Tech Names First Chief Artificial Intelligence Officer in Montana University System - Amanda Badovinac, Montana Tech
Recognizing the transformative impact of emerging technologies on higher education and industry, Montana Technological University has appointed Professor Chad Okrusch, Ph.D. to serve as the university’s first chief artificial intelligence officer. The position is the first of its kind in the Montana University System (MUS). As chief artificial intelligence officer, Okrusch will lead Montana Tech’s strategic integration of artificial intelligence across campus, ensuring that students, faculty, and staff are equipped to navigate, utilize, and shape the future of AI responsibly.
Saturday, August 08, 2026
Students as Conscientious Objectors to Generative AI: We should listen to them—and treat their objections with respect - Carla Fehr and Jennifer Saul, Inside Higher Ed
When Carla explained the assignment, the first question raised was “What if we don’t want to use GenAI?” At first, she responded that it was part of the assignment and that whether or not they wanted to use generative AI, they should at least know how to use it. If they then chose to reject it, they could do so from a place of knowledge and experience. The class atmosphere became tense as more students pushed back against this required use of generative AI. They wanted to know what their classmates thought rather than what a large language model produced in response to prompting; they wanted to wrestle with difficult readings and complex ideas; they wanted to work together across their human differences to negotiate new ideas and find ways of expressing them. And they didn’t want to outsource any of this effort to generative AI. They wanted to do the work, even the mundane work.
Coursera invests $100 million in Andrew Ng’s AI learning company LearnVector - EdTech Innovation Hub
The newly formed company plans to use AI agents to create individualized learning experiences that adapt as people practice and master new skills. The deal brings Ng’s work in agentic AI into Coursera’s wider strategy for personalized learning. LearnVector plans to develop one-to-one experiences that adapt to individual learners, provide opportunities to practice and remain involved until they have mastered the material. Greg Hart, Chief Executive Officer and President of Coursera, revealed the investment on LinkedIn, describing Ng’s focus as extending beyond the development of AI itself to “how to use it to unlock human potential.” Ng co-founded Coursera and has combined work in artificial intelligence with efforts to expand access to education. “Few people have taught AI to more learners or done more to help people understand and apply this technology,” Hart observed. The investment also has roots in conversations between the pair before Hart joined Coursera. Reflecting on those discussions, he recalled: “We both became energized talking about the ways AI could be used to transform the learning experience and deliver better outcomes for learners.”
Friday, August 07, 2026
Why AI Is Changing What It Means to Be Intelligent - Lydia Elliott, Faculty Focus
Across higher education, artificial intelligence has rapidly changed how students complete academic work. Essays, summaries, explanations, and structured problem-solving can now be generated instantly. The first concern has understandably been academic integrity. A deeper issue, however, is emerging. We are beginning to mistake performance for understanding. Students can now produce correct answers without necessarily developing the ability to interpret situations, make decisions, or apply knowledge responsibly.
Microsoft's latest quantum chip is 1,000 times more reliable than its predecessor — but why is it so controversial? - Keumars Afifi-Sabet, Live Science
Microsoft has revealed a new quantum computing chip with quantum bits (qubits) it says are capable of maintaining their quantum state for 1,000 times longer than its predecessor — paving the way for more reliable quantum computers by 2029. But not all scientists believe the company's claims. The experimental quantum processing unit (QPU), dubbed Majorana 2, features a four-qubit array that offers a reported mean qubit lifetime of 20 seconds and, in some instances, up to a minute. This is a massive improvement in quantum coherence times — the time that qubits are entangled so that calculations can run in parallel — typically seen in QPUs. Normally, this lifetime is measured in milliseconds (thousandths of a second). The new chip could put scientists on the path to building a quantum computer that's commercially viable by 2029 — halving the timespan researchers initially expected — Microsoft representatives said in a statement.
The 10 most valuable AI skills students want to learn - Alcino Donadel University Business
There are 10 foundational AI skills education leaders should embed in their curriculum to ensure graduates are ready for the workforce, a new Coursera report contends. Student interest in generative AI is exploding as employers across industries make the technology a key part of daily operations. Participation in Coursera’s generative AI courses has increased by 234% over the last year, while professional certificate enrollment jumped by 91% as employers wish to verify what job candidates are learning. The fastest-growing, non-technical AI skill is creating content that promotes a business’ strategy or services. Courses that focus on critical thinking around responsible and ethical AI use have grown by 185%. Critical thinking is increasingly taught in STEM disciplines, including data, IT and software development.
Thursday, August 06, 2026
How can the public sector meet the AI moment? - McKinsey
Achieving real impact, however, requires more than isolated pilots. Fully realizing AI’s potential demands organizations rewire by redesigning processes, ways of working, and operating models to make the technology part of everyday service delivery. This series explores how leaders can move beyond experimentation and take practical steps to scale AI responsibly, delivering measurable improvements in efficiency, service quality, and the experience of the people they serve. Our ambition is to help the public sector dramatically improve their capacity to deliver for residents by providing leaders with the insights and confidence needed to accelerate that journey.
Is that AI agent worth it? Agentic economics and the modern operating model - McKinsey
A lot goes into what determines that value, such as whether the agent output is correct, whether humans must supervise or repair it, how much compute it consumes while reasoning, and whether the value of the completed work exceeds the full operational cost of generating it. In essence, for CEOs this boils down to answering a basic question: Are the AI agent capabilities we’re building and running worth the value we’re getting from them? Answering that question is becoming ever more pressing for CEOs as AI systems move from agentic coworkers to agents capable of more complex tasks like reasoning and orchestrating workflows across the enterprise. Furthermore, AI spending is expected to rise to roughly 25 percent of enterprise IT budgets within the next several years. Yet many organizations still cannot clearly explain which AI systems are generating value, what they truly cost to operate, or how those economics change as usage scales.
Wednesday, August 05, 2026
From Knowledge Building to Wisdom Building in Higher Education - Ray Schroeder, Inside Higher Ed
In years gone by, we said that students went to college to gather knowledge. Now, college is appropriately expected to be much more about building wisdom. The advent of the internet toward the end of the last century went a long way to stimulate this shift to the emphasis on wisdom. More recently, artificial intelligence has further accelerated the move. Those of us in higher education who still have our focus on knowledge gathering in our classes are a quarter of a century behind the times. Rote memorization of facts is out of date, supplanted by highly refined search and retrieval skills coupled with an ability to apply sophisticated critical and creative thinking to those data. We are at the turning point in higher learning where we must now shift our focus from memorization and recitation of facts to the synthesis and analysis of a much broader virtual “library” of knowledge. From this perspective, we will build wisdom among our students. This new level of learning will provide the platform for graduates and certificate completers to exercise leadership and vision in our society.
Robot reboot - McKinsey
A new generation of robotics is powering up. How can leaders capture the value at stake while ensuring successful human–machine collaboration? The market for general-purpose robotics, including humanoid robots, is poised to skyrocket—growing to an estimated $370 billion by 2040, up from under $1 billion today. Beyond their economic value, next-generation robots will think and act more autonomously, evolving from highly specialized machines into systems capable of performing a diverse set of tasks. The leap in general-purpose robots is being driven largely by advances in software—including AI—which enable robots to be more useful in different environments, such as manufacturing.
https://www.mckinsey.com/quarterly/the-five-fifty/five-fifty-robot-reboot
Tuesday, August 04, 2026
90% of students use AI in the classroom, Instructure poll finds - Laura Spitalniak, Higher Ed Dive
A large majority of college students — 90% — report using artificial intelligence in class at least occasionally, according to new survey data from ed tech provider Instructure. Nearly two-thirds of college instructors, 61%, said the same. But the survey, released Tuesday, also found that only 11% of higher ed instructors received comprehensive AI training, while 41% said they had not received any formal training on AI. Educators are looking for support in the form of hands-on training, clear guidance from their institutions about AI use, and ongoing professional development on the topic, according to Instructure.
California launches first-in-the-nation AI literacy initiative with SDSU leadership - San Diego State University
San Diego State University is co-leading AI-Ready California, a first-in-the-nation statewide pilot micro-credential program, offered to Californians interested in expanding their AI literacy and preparing to join the workforce of the future. “Artificial intelligence has rapidly become a foundational skill for work, much like digital literacy became a generation ago,” said James P. Frazee, SDSU’s vice president for information technology and chief information officer. “AI-Ready California is about ensuring every Californian has the opportunity to build the knowledge, judgment and confidence to use AI responsibly and effectively – regardless of their background or career path – and to be competitive for our changing workforce,” said Frazee, also a founding member of the California State University AI Workforce Acceleration Board.
Monday, August 03, 2026
How many Americans are using AI — and how? - USA Facts
35% of American households are using AI to find information. 14% of people trust that information. New Census Bureau data shows that 57% of Americans have used AI tools to search, brainstorm, complete work or school tasks, and more. Forty-two percent of respondents reported a productivity boost, though the responses also show concern with trust, data privacy, and career impact. This data comes from the Bureau’s Household Trends and Outlook Pulse Survey, which collected responses from June 16 to 25, 2025 and came out in April 2026.
As college graduates fret over finding jobs, a record shortage of workers is projected - Jon Marcus, Hechinger Report
But economists are sounding alarms that the AI talk is masking a different problem. It’s not that there won’t be enough jobs, these experts say — it’s that the United States is already facing what’s projected to be the biggest shortage of workers in its history. The problem “could hobble the American economy for years to come,” predicts the Georgetown University Center on Education and the Workforce. “The largest labor shortage the country has ever seen,” the Lightcast labor market data company calls it. JPMorganChase warns of a national security risk from “a pervasive talent deficit that constrains the nation’s capacity to build, compete, and protect its interests.” And it’s not only tech workers. There will be shortages in the tens of thousands to hundreds of thousands of nurses, physicians, teachers, engineers, pharmacists, mental health counselors, construction workers and airplane mechanics, both government and independent sources project. Most are jobs AI generally can’t do.
Sunday, August 02, 2026
A ‘buffet’ model of faculty development to support evolving use of AI - Ben Kei Daniel, Times Higher Education
A flexible, agile approach to AI skills development allows faculty and students to choose the guidance, resources and learning opportunities that best fit their roles and contexts. A “buffet” approach recognises this and gives staff and students multiple pathways for responsible and meaningful engagement. Instead of relying on rigid, one-size-fits-all policies, the model provides flexible, context-based support that encourages responsible and effective AI use. It provides faculty and students with a high degree of choice in guidance, resources and learning with AI tools, allowing them to select the opportunities that best match their role, discipline, confidence and experience. Our experience shows that faculty and students gain confidence and competence in using AI over time through repeated engagement, practical work and dialogue with colleagues.
Stop policing AI in the classroom, start teaching it - Zakaria Lacheheb, the Conversation
When handheld calculators entered classrooms in the 1970s, critics sounded the alarm on a wave of math illiteracy. With the internet, the panic shifted to the death of reading. Yet, neither apocalypse happened. Instead, education adapted, turning these disruptors into essential extensions of human intelligence. Generative AI marks a similar turning point for higher education. In lecture halls across Malaysia and Indonesia, students routinely use tools like ChatGPT, Gemini, and Claude for everything from research and writing to coding and problem-solving. Many universities are pushing back against this trend, introducing stricter regulations, academic penalties, and AI-detection software. This response fundamentally misjudges the challenge. The question isn’t whether students should use AI — they already do. The real question is how universities will train them to use it responsibly.
Saturday, August 01, 2026
Scale can measure university students' confidence in using AI - Koc University, Phys.org
Artificial intelligence technologies are becoming increasingly prominent in higher education. Adaptive learning platforms, intelligent tutoring systems and automated feedback tools are now widely used in university education. Alongside this transformation, attention has shifted not only to students' use of AI tools but also to their confidence in their ability to interact effectively with these systems. AI self-efficacy refers to students' confidence in their ability to use and adapt to artificial intelligence technologies effectively. The researchers note that although several scale adaptation studies have been conducted in Türkiye in areas such as AI literacy, AI anxiety and AI acceptance, validated AI self-efficacy scales focusing specifically on university students and educational settings remain limited. The study therefore aimed to provide a reliable and valid Turkish measurement tool for assessing AI self-efficacy among university students.
From adoption to impact: Three horizons of AI transformation - McKinsey
AI is now the top technology spending priority for many organizations, as leaders put powerful tools into employees’ hands, automate parts of existing workflows, and urge people to experiment. Yet results are still falling short of leaders’ ambitions. The reason is becoming clearer: AI does not create enterprise value simply because more people use it. Individual productivity gains matter, but they rarely translate into lasting advantage when the organization around them stays the same. Companies moving furthest ahead do two crucial things differently. First, they focus on areas where AI can create the most value, redesigning and rewiring workflows around what the technology makes possible, rather than spreading pilots across the organization or simply automating existing processes. Second, they treat AI transformation as an organizational change effort, not just a technology deployment, by investing in the workflows, behaviors, skills, leadership practices, and change management needed to make new ways of working stick.
Friday, July 31, 2026
Future-Ready Strategies for Technology Leaders in Higher Education - Nathan Eddy, EdTech
Higher education technology leaders face an increasingly difficult balancing act. Enrollment pressures, tighter budgets and rising expectations around artificial intelligence (AI) are forcing institutions to modernize while proving the value of every technology investment. At the same time, aging infrastructure, fragmented data and staffing constraints leave little room for missteps. Research from EDUCAUSE shows institutions are increasingly prioritizing data modernization to improve operational efficiency, student success, decision support and institutional research, while Deloitte’s 2026 Higher Education Trends report identifies data integration and responsible AI adoption as critical priorities for improving decision-making and student success. Rather than treating modernization as a collection of technology upgrades, higher education CIOs are increasingly sequencing investments around institutional priorities, strengthening data foundations and building governance that allows AI to deliver measurable value.
University of Nebraska's AI Institute Pools Research From 4 Campuses - Abby Sourwine, GovTech
In building a unified artificial intelligence strategy, the University of Nebraska system is striking a balance between siloed experimentation and top-down mandates. The university’s new AI Institute is serving as a coordinator of AI initiatives across its four campuses, while allowing each campus to determine where AI fits. Prior to the institute’s launch in February, AI efforts were largely organized within individual colleges and campuses. For example, the University of Nebraska Medical Center established the Center for Intelligent Health Care in 2020. According to Adrian Wisnicki, an English professor and co-director of the AI Institute, artificial intelligence research was going on for decades before the generative AI boom, but even those interested in experimenting with AI had little visibility into AI work happening elsewhere in the university system.
Thursday, July 30, 2026
Basic Income is proposed by several AI leaders - Peter Knight, BIEN
As the power of AI approaches AGI (Artificial General Intelligence – a hypothetical AI that matches or exceeds human cognitive abilities across all tasks), leaders of leading AI companies see a need for basic income to orovide needed demand as well as political stability. In a recent essay, Anthropic’s Dario Amodei wrote “If AI-driven labor displacement ends up being large in magnitude and permanently drives down the demand for labor, it will likely be necessary to go beyond mere incentive programs to long-term income support for a significant fraction of the labor force. Mechanisms such as universal basic income could be financed through taxes on relevant companies or raising the capital gains tax." In a May 2026 interview with The Atlantic, Open AI’s Sam Altman stated he no longer believes fixed UBI cash payments alone are enough to handle the economic shifts driven by AI. Instead, he advocates for “universal basic compute” or Public Wealth Funds, which would allow citizens to hold an actual ownership stake in AI-driven wealth and productivity.
In an AI-driven world, the fastest learner will win: An interview with McKinsey’s Sven Smit; McKinsey
Now, along comes AI to radically change the way we create and consume ideas. Artificial intelligence is a powerful force for progress, Smit explains, capable of dramatically increasing productivity and enabling a future of greater abundance. But to keep up in this era of rapidly expanding AI tools and information, he says, “we must continue to excel in quality checks and in critical thinking and judgment. Those cannot be replaced.” In this interview with McKinsey Editorial Director Roberta Fusaro, Smit considers what “insights” will look like in the future, who the new experts will be, and how business leaders should think about knowledge in an AI-driven world. Ultimately, Smit sees the future as a dynamic collaboration between humans and AI—where judgment, creativity, and adaptability (along with hard work!) remain distinctly human skills even as machines take on more cognitive and physical tasks.
Wednesday, July 29, 2026
Why Shaw University is launching a new AI degree — in its divinity school - Raleigh News & Observer
Shaw University says the new doctoral degree in Artificial Intelligence and Moral Agency coming to its divinity school is the first program of its kind offered at any of the country’s HBCUs. The program will start next spring and include how to examine AI ethically, with courses on AI literacy, algorithmic bias, privacy and transparency, AI governance, human agency, cognitive bias and the impact of AI on marginalized communities.
AI in class: time to rethink assignments - Willie Chinyamurindi, Mail & Guardian
Ultimately, the future of higher education will not be determined by whether AI enters our classrooms. That has happened. Nor will it be determined by how effectively universities detect AI-generated text. The future will depend on whether institutions are willing to rethink assessment, literacy, ethics and institutional culture for an AI-enabled world. The challenge before higher education is therefore not technological. It is educational. The task is not simply to police AI but to steward its use in ways that strengthen learning, preserve human agency and prepare graduates for an increasingly AI-mediated world.
Tuesday, July 28, 2026
Nearly 90% of students, 77% of faculty use AI: survey - Gabrielle Temaat, the College Fix
Almost 90 percent of students use artificial intelligence in their learning, and 77 percent of faculty use AI to help them teach, according to a new report from the Digital Education Council. The Digital Education Council AI in Higher Education Global Survey 2026 draws “on more than 45,000 responses from students and faculty across 35 countries,” according to the report. “The picture it reveals should give leaders pause. AI has moved into the mainstream of student and faculty life faster than institutions have been able to respond to it. Adoption is now widespread, but coherent practice is not,” it states.
The real AI advantage - McKinsey
The next wave of value from AI will flow to those leaders who redesign business models, eliminate friction, and build organizations that learn faster than the competition. The first wave of AI adoption has been all about efficiency gains. But what happens when everyone else, using the same tools, is experiencing the same productivity improvements? Where will competitive advantage come from then? McKinsey research suggests that the companies that outperform with AI will be those that rethink customer experiences, redesign how work gets done, and build operating models that continuously adapt to change.
Monday, July 27, 2026
Mindfulness and artificial intelligence self-efficacy among university students: the mediating role of artificial intelligence literacy - Aamer Aldbyani, et al; Nature
University students now use artificial intelligence (AI) tools in several academic activities, including information retrieval, writing support, and problem-solving. While these technologies may enhance learning efficiency, effective student engagement with AI requires relevant psychological characteristics as well as technology-related competencies. Earlier studies indicate that learner characteristics, including mindfulness, may relate to patterns of engagement with digital technologies. Mindfulness, AI literacy, and AI self-efficacy have been studied separately, but their combined relationships remain insufficiently examined. Accordingly, this study examined the associations among these three variables in university students and assessed whether specific dimensions of AI literacy were involved in the statistical association between mindfulness and students’ self-rated readiness to use AI-supported tools for academic purposes. The study used a cross-sectional survey design. Undergraduate students at Shandong Xiehe University in China completed an online questionnaire. After screening the responses, 929 valid questionnaires were retained for analysis. Participants were between 18 and 22 years of age. Mindfulness, AI literacy, and AI self-efficacy were assessed using established self-report scales.
4 Critical Security Considerations for AI in Higher Education - Jessica E. Bright, EdTech
Generative artificial intelligence is revolutionizing how colleges and universities operate, streamlining workflows, supporting research and enhancing learning. But as adoption grows, so do the risks. Higher education institutions manage sensitive student data, proprietary research and intellectual property. Without the right guardrails in place, AI systems can expose this information or violate compliance standards, putting institutions at risk for reputational damage. For CISOs and CIOs, securing AI environments must be a strategic priority. Here are four key security considerations when implementing AI.
Sunday, July 26, 2026
What university leaders must learn in the age of AI - James Yoonil Auh, University World News
Universities emerged in societies where access to books, scholarship and expertise was scarce. Their central role was to preserve, transmit and expand knowledge while educating successive generations of scholars. Although the digital age has made information increasingly accessible, universities remain central to helping students interpret complex bodies of knowledge. Artificial intelligence is now accelerating a far more profound shift. For the first time, students can draw on a rapidly expanding ecosystem of free and commercial AI systems that generate explanations, synthesise information, answer questions, provide feedback, and adapt responses in real time. Access to intellectual assistance is no longer confined to classrooms, libraries or faculty expertise; it is increasingly available on demand to anyone with an internet connection. As information and participation in intellectual work become more abundant, exercising sound judgment in their use remains a distinctly human responsibility.
How Generative AI is Shaping the Future of Digital Learning Platforms in the EdTech Industry - Globe and Mail
By 2030, the market is anticipated to surge to $3.22 billion with a CAGR of 43.6%. Innovations in adaptive learning via AI, growth in virtual and augmented reality educational applications, and the adoption of AI-powered learning assistants are key contributors. AI is enhancing global edtech with predictive analytics, automated grading, and intelligent content creation, offering personalized and efficient educational pathways. The rapid adoption of digital learning platforms supports this market growth. These platforms offer flexible and accessible learning solutions driven by expanding internet connectivity. They benefit from AI's ability to deliver personalized experiences, create adaptive content, and streamline processes, leading to improved engagement and outcomes. According to Eurostat, 30% of EU internet users engaged with online education in 2023, showcasing the increasing reliance on digital learning tools.
Saturday, July 25, 2026
What Happens When the Regulator Becomes a Shareholder? - Matt Wolfe, Future Tools
OpenAI just floated an idea that sounds great in theory but has me a little uneasy in practice. According to a Financial Times report, OpenAI has proposed giving the US government a 5% ownership stake in the company worth roughly $42.6 billion based on OpenAI's most recent $852 billion valuation. Sam Altman's pitch is that if AI creates massive economic upside, the public should share in it, modeled loosely on the Alaska Permanent Fund (where the state's oil revenue gets invested and pays annual dividends to every resident). Altman also wants other major AI labs—Anthropic, Google, Meta, xAI—to each contribute a similar 5% stake to the same public wealth fund. A few context points that matter here: This isn't happening in a vacuum. The government has been ramping up pressure on AI companies for months.
Is competing for faster compute higher ed’s new arms race? - Alcino Donadel, University Business
Ensuring academic programs keep pace with advancing AI has sparked a costly tech challenge: the need for significantly more campus computing power. For decades, colleges and universities supported most research needs with separate departmental servers and periodic upgrades. Today, AI and advanced analytics are changing that equation. Training large language models, processing massive datasets and conducting modern scientific research require high-performance computing that more than quadruples the energy most institutions currently provide—and which they were never designed to support.
Friday, July 24, 2026
New Research Reveals AI Use Has Reached a Tipping Point in Higher Education - Newswire.ca
D2L, a global leader in learning innovation, and Tyton Partners have collaborated to release the annual Time for Class 2026 report, The AI Tipping Point: From Monitoring Students to Engaging Them, which examines how Artificial Intelligence (AI) is reshaping teaching, learning, assessment and workforce readiness across higher education. The report, drawing on insights from more than 3,000 higher education administrators, instructors and students in the United States who were surveyed, finds that AI has crossed a major adoption threshold. Of those who participated, more than half of administrators (71%), instructors (52%) and students (61%) report using AI at least weekly. As AI becomes a regular part of academic life, the report finds institutions are moving beyond the question of whether AI will affect teaching and learning, and toward a more urgent challenge: how to integrate AI in ways that improve engagement, strengthen assessment and prepare students for future careers.
How and when does artificial intelligence use enhance student creativity? The mediating role of knowledge-based dynamic capabilities - Huainan Wang, et al; Frontiers in Psychology
As artificial intelligence (AI) becomes more deeply integrated into higher education, understanding its effects on student creativity has become increasingly important. However, the mechanisms through which AI use is associated with student creativity, as well as the boundary conditions of this relationship, remain insufficiently understood. Drawing on the knowledge-based dynamic capabilities (KBDC) framework, this study develops and tests a model that links AI use to student creativity while incorporating the moderating roles of AI self-efficacy and AI trust. Using survey data from 764 university students in China, we employ hierarchical regression analysis to examine the proposed model. The results show that AI use is positively associated with student creativity and that this relationship is mediated by students' knowledge acquisition, absorptive, and combination capabilities.
Thursday, July 23, 2026
Math Students May Learn Less Using AI - Jill Barshay, Future-Ed
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.
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).
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