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.
Friday, August 21, 2026
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.
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