The question we must answer very soon is what can we teach that will prepare our learners to endure the huge changes that are upon us? We must not stay the course as it becomes abundantly clear that things are not going to be the same. Lest we say that these forecasts and claims are mere hyperbole, let’s examine the GDPval benchmark report “Measuring the performance of our models on real-world tasks,” indicating AI models are approaching or matching industry expert performance in complex tasks like spreadsheet modeling and document editing, with significantly higher speed and lower cost than human professionals in 44 professions.
Wednesday, April 1, 2026
Tuesday, March 31, 2026
Terafab: The World’s Next Generation Chip Factory - Thomas Frey, Futurist Speaker
On March 21st, Elon Musk introduced Terafab—a $25 billion chip facility, jointly owned by Tesla, SpaceX, and xAI—designed to produce one terawatt of compute per year. That’s fifty times the current annual output of the global AI chip industry. Terafab isn’t just about catching up with TSMC, Samsung, and Nvidia; it’s about leaping ahead—and, remarkably, off-planet. Here’s where it moves from bold to unprecedented: 80% of Terafab’s chip output isn’t meant for Earth. SpaceX plans to launch up to a million satellites, each a node in an orbital data center—powered by solar energy, cooled by space, and forming the largest computing network in history. Without Terafab’s radiation-hardened, space-optimized chips, this vision remains science fiction.
Monday, March 30, 2026
University of Phoenix scholars publish study on academic applications of generative AI tools in higher education - University of Phoenix
Key findings from the study include:
Generative AI tools are increasingly used in academic workflows, including literature review support, research brainstorming, and academic writing assistance.
AI can improve research efficiency and idea generation, particularly for complex scholarly tasks such as synthesizing large bodies of literature.
Ethical and academic integrity considerations remain critical, including transparency about AI use and maintaining original scholarly analysis.
Doctoral education may benefit from AI literacy training, helping researchers understand both the capabilities and limitations of generative AI technologies.
Institutions may need clearer policies and guidance to support responsible AI adoption in research and teaching.
Sunday, March 29, 2026
How Cal State Became Ground Zero for the Fight over AI in Higher Education - Chris Mills Rodrigo, TechPolicy
In a statement emailed to Tech Policy Policy, CSU director of media relations and public affairs Amy Bentley-Smith said the system “is focused on ensuring our universities have the tools and resources to meet this moment and lead in the educational application, preparation, and ethical and responsible use of AI.” Bentley-Smith added that access to “relevant technologies” allows faculty and staff “to work together on solutions for the benefit of our students’ education and the broader academic community.” OpenAI did not respond to a request for comment. But according to some professors, integrating AI into classrooms has not been as seamless as Cal State may have hoped for.
https://www.techpolicy.press/how-cal-state-became-ground-zero-for-the-fight-over-ai-in-higher-education/
Saturday, March 28, 2026
Measuring progress toward AGI: A cognitive framework - Ryan Burnell & Oran Kelly, the Keyword, Google
Our framework draws on decades of research from psychology, neuroscience and cognitive science to develop a cognitive taxonomy. It identifies 10 key cognitive abilities that we hypothesize will be important for general intelligence in AI systems:
Perception: extracting and processing sensory information from the environment
Generation: producing outputs such as text, speech and actions
Attention: focusing cognitive resources on what matters
Learning: acquiring new knowledge through experience and instruction
Memory: storing and retrieving information over time
Reasoning: drawing valid conclusions through logical inference
Metacognition: knowledge and monitoring of one's own cognitive processes
Executive functions: planning, inhibition and cognitive flexibility
Problem solving: finding effective solutions to domain-specific problems
Social cognition: processing and interpreting social information and responding appropriately in social situations
Friday, March 27, 2026
Faster, thinner: Colleges are swiftly trimming a B.A. degree to three years - Jon Marcus, Hechinger Report
Quinn McDonald planned to spend the typical four years working toward a bachelor’s degree in criminal justice. Then he heard about a place where he could get the same degree in three. “It was the idea of being able to save a year” that grabbed his attention, said McDonald — a savings of not only time, but tuition. And he could start earning a salary faster than if he spent four years in college. So, last fall, McDonald joined the inaugural class of one of the nation’s first in-person programs approved to award bachelor’s degrees with fewer than the usual 120 credits, at Johnson & Wales University. He’ll need only 90 credits, putting him on track to graduate in 2028, after three years instead of the usual four or more.
Thursday, March 26, 2026
Did anybody do the reading? Colleges grapple with a generational shift in learning — plus AI - Associated Press
Johnson’s concerns about waning participation and declining reading are shared by professors and teachers in liberal arts programs, including in Pittsburgh. Teachers at four universities interviewed for this story had a variety of theories about the cause, including:
1. Inequitable educational opportunity that leaves some college students unable to comprehend difficult material
2. Federal policies that encourage teaching to the test rather than critical thinking
3. Increasing student use of artificial intelligence (AI) to draft papers and write summaries, which some instructors worry will only worsen the trend.
Wednesday, March 25, 2026
Why universities should anchor state quantum computing initiatives - Nate Gemelke, University Business
The universities that helped shape the AI revolution did not wait for the technology to mature. They built programs, recruited faculty, and secured funding while the field was still taking shape. Quantum computing is entering a similar inflection point. While the underlying physics is unfamiliar to many, the institutional question is one universities have faced before: how to position themselves, and their regions, during the early stages of a major technological transition. For much of the past decade, quantum computing has been discussed primarily as a long-term research prospect. That framing is now changing. Early systems are operating today, federal agencies are funding large-scale programs, and private companies are beginning to integrate quantum resources into broader high-performance computing environments.
Tuesday, March 24, 2026
See which jobs are most threatened by AI, and who may be able to adapt - Kevin Schaul and Shira Ovide, Washington Post
No one has a perfect road map to the future, but researchers at GovAI, which studies technology policy, and the Brookings Institution, a Washington think tank, used a novel approach to estimate which workers may be most and least able to adapt to AI. They concluded that many people most at risk if AI transforms work are also the best placed to find new jobs. You can use the search box and interactive chart above to explore which occupations may have bright prospects and which may not. But history shows that economists and researchers have been terrible at predicting the effects of new technologies on work and workers, so take forecasts like this one seriously but not literally. Even researchers cranking out studies of AI in workplaces caution that they’re making useful but fallible best guesses. “All the important questions about AI’s effects on the labor market are still unanswered,” Jed Kolko, a senior fellow at the Peterson Institute for International Economics, recently concluded. Economists at Anthropic, the AI start-up behind the Claude chatbot, stressed the need for “humility” in their analysis of AI seeping into occupations. (Humility is uncommon in Silicon Valley.)
Monday, March 23, 2026
Online learning gains momentum as students reconsider studying abroad - JB, The St.Kitts/Nevis Observer
A regional educator is of the opinion that online learning is becoming an increasingly attractive option for Caribbean students, as uncertainty surrounding overseas study — particularly in the United States — leads more people to pursue higher education from home. According Wendy Williams, the Deputy Dean of Academic Affairs at Academix School of Learning, an educational institution here, many students are now reconsidering traditional study-abroad routes due to concerns about student visa approvals and the risk of investing time and money without certainty of being able to travel. “We have always had our eyes on the United States as a pathway to higher education,” Williams said. “But the reality now is that students are worried about whether their visas will be approved and whether they will be able to travel after investing so much in the process.”
Sunday, March 22, 2026
When Harvey Met Elle: How AI Tutors Transformed Learning in My Law Class - Wayland Chau, Faculty Focus
This past fall, I taught a business law course to all second year students in the Bachelor of Commerce program at Dalhousie University. I had 343 students across three sections of 109 to 120 students in each. The course covers foundational areas of Canadian business law and requires students to apply that law with a structured legal analysis. Even with active learning approaches in class and clear instructional structures, it was apparent that students needed individualized, on-demand support that traditional office hours and T.A. tutorials could not fully satisfy. To address this, I created and deployed two custom AI tutors, Harvey and Elle, built as custom GPTs in the ChatGPT platform. The aim was to offer scalable, digital learning companions that aligned directly with course learning outcomes and pedagogical needs. What emerged was an effective model for AI-supported instruction that helped students better understand legal concepts, improve their analytical skills, and engage more confidently with course material.
Saturday, March 21, 2026
History tells us a golden age can come after the AI apocalypse- Jo-An Occhipinti, Ante Prodan and Roy Green, Financial Review
Societies must channel technological potential toward broad-based growth rather than allowing the gains to concentrate among the winners of the speculative phase. The market grasped this before the accountants did. Since early this year, the S&P 500 Software and Services Index has shed nearly $1 trillion. Salesforce is down 30 per cent year-to-date. Adobe’s forward price-earnings ratio has compressed from 30 to 12. Software price-to-sales ratios fell from nine to six within weeks, levels not seen since the mid-2010s. Australian superannuation funds, with hundreds of billions invested in international equities heavily weighted to US technology, are exposed to every dollar of this repricing. But software is only where the destruction is most visible. It is not where it ends. AI is beginning to erode the value of a broader category of accumulated capital: the knowledge, processes, organisational structures and professional expertise that the advanced economies spent half a century building.
Friday, March 20, 2026
AI could leave many college grads unemployed, says ServiceNow CEO - EdScoop
Bill McDermott, the chief executive of ServiceNow, an American cloud computing firm, told reporters recently that the advancement of artificial intelligence could push the unemployment level of recent college graduates into the almost 40%. McDermott told CNBC that “so much of the work is going to be done by agents,” highlighting the challenge that college graduates will likely face. The Federal Reserve Bank of New York put the unemployment rate of recent college graduates, at the end of last year, at 5.7%, while underemployment for the same group reached 42.5%. Layoffs at large companies, particularly in Big Tech, continue. The fintech firm Block, recently announced it would lay off about 4,000 employees, roughly half of its workforce.
Thursday, March 19, 2026
Key findings about how Americans view artificial intelligence - Michelle Faverio and Emma Kikuchi, Pew Research
Drawing on five years of Pew Research Center surveys, here are 13 findings about how Americans use and view AI, and where they see promise and risk. Americans continue to be wary of AI’s impact on daily life. Half of U.S. adults say the increased use of AI in daily life makes them feel more concerned than excited, according to a June 2025 survey. Just 10% say they are more excited than concerned. Another 38% say they are equally concerned and excited. More Americans are concerned today than they were when we first asked this question in 2021. Back then, 37% said they were more concerned than excited. In contrast, concern is lower in many of the 24 other countries we’ve polled about AI.
Wednesday, March 18, 2026
What 3 Leading AI Models Say Are the Most Vulnerable Jobs in Higher Ed - Ray Schroeder, Inside Higther Ed
I asked artificial intelligence to tell me what jobs in higher education are most vulnerable to replacement in the near term. Sonnet is very honest in its replies, painting a difficult picture for those who seek to find new jobs in higher ed. For those already in the field, Sonnet suggests becoming the most adept user of AI in your office. Seek to transfer to the unit or office where AI is a top priority. It adds, “Consider whether your institution is viable. Smaller, tuition-dependent institutions without strong endowments are in structural decline. Loyalty to a sinking ship is not a career strategy.” Across all career stages in higher education, Gemini recommends, “To remain relevant, higher education professionals must pivot toward AI Orchestration. Success is no longer measured by how well you perform a task, but by how well you direct the agents performing them.”
Tuesday, March 17, 2026
Generative AI can play a role uplifting family and community in early childhood education - Andres Bustamante & Aria Gastón-Panthaki, the Conversation
Use of generative artificial intelligence technology is already widespread in K-12 schools and higher education. Now, AI technologies such as conversational agents and tablet-based assessments are starting to make their way toward early childhood education. One concern with AI in a prekindergarten setting is that the technology will replace or disrupt the rich interactions and deep relational bonds between children and their caregivers. Another worry is that AI systems will reproduce discrimination related to race, gender and socioeconomic status, which could reinforce stereotypes and biases. What if, instead, this technology was used to uplift marginalized voices rather than silence them?
Monday, March 16, 2026
OpenAI ChatGPT leader discusses AI agents and the future of knowledge work at Harvard Business School - Emma Thompson, EdTech Innovation Hub
The discussion also explored how the responsibilities of product managers could change as generative AI systems become part of the development process. Ostrovskiy wrote: “The job becomes less about coordination and more about 1) understanding real user problems, 2) defining what ‘success’ means in an AI system, and 3) building evals and feedback loops so you can tell if a new model configuration is actually better than the last one.” He added that curiosity about how AI systems behave may become a core skill across multiple roles: “The advantage goes to people who are curious about system behavior and who like building, regardless of whether their title says PM, engineer, designer or something else.” The conversation also included advice for students learning how to evaluate AI systems: “Build something with one foundation model, then swap in a different model or prompt configuration and force yourself to decide if it’s better. When you’re a student looking to become a better PM, even a simple spreadsheet of use cases plus a qualitative rubric counts as an eval.”
Sunday, March 15, 2026
Adopting AI is a social contract - Andrew Inkpen & Dani Inkpen, University Affairs
Integrating artificial intelligence into our societies and personal lives binds us to certain futures and forecloses the possibility of others. Are we ready to accept the consequences? Much of the present conversation about AI in higher education centers around questions of implementation. How do we use AI in accordance with principles of universal design? How can we ensure equity in its usage, be it across axes of gender, race or class? What does AI mean for the longevity of the professorial profession? Implementation should indeed be approached with care and nuance, and we welcome this conversation. Yet, questions of implementation assume that AI is desirable and inevitable in the classroom. The prior question of whether AI in higher education is actually desirable is often overlooked. Two widespread assumptions underpin this move: 1) technological progress is inevitable; 2) technology is apolitical — it only becomes political in its implementation.
Saturday, March 14, 2026
Today’s AI is built to respond. The future belongs to proactive systems. - Kiara Nirghin & Nikhara Nirghin, Big Think
Much of what we’ve seen from the biggest artificial intelligence (AI) companies has revolved around words: You go to their chatbot, ask it a question, and it responds. Over the past couple of years, some have taken this a step further with AI agents — those can actually do things, but only things you’ve told them to do. The next frontier in AI is not better chat. It is not even better agents. The next frontier is proactive AI, the kind that takes action, learns in real time, and, critically, comes to you before you go to it. This distinction is not a feature improvement. It is a civilizational pivot.
Friday, March 13, 2026
OpenAI's new GPT-5.4 clobbers humans on pro-level work in tests - by 83% - David Gewirtz, ZDnet
GPT-5.4 is also more reliable, producing 18% fewer errors and 33% fewer false claims than GPT-5.2, according to OpenAI. GPT-5.4's 83% score suggests AI rivals expert professionals. Tests span nine industries and 44 real-world occupations. New capabilities boost coding, tools, and computer control.
Thursday, March 12, 2026
AI in higher education is now the norm—not the exception - Michelle Centamore, University Business
AI is quickly becoming standard practice in higher education, with students and faculty reporting widespread use and a largely positive view of its impact, according to Coursera’s new report, “AI in Higher Education: Insights on Attitudes, Adoption, and Risks.” The findings also point to rising demand for formal training. Nine in 10 students said they want generative AI instruction included in their degree programs. On the hiring side, 75% of employers said they would rather hire a less experienced candidate with a generative AI credential than a more experienced candidate without one.
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