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
How online learning is changing global education - Elizabeth Carter, MSN
Education is no longer classroom based or place based education. With the advent of the digital arena, learning has become flexible, personal and more accessible than at any previous time. Online education is opening up the closures that used to be regarded as closed to students in the remote villages and those professionals in need of updating their competencies. It allows one to learn at their own speed, become familiar with diverse subjects and interact with foreign educators. The trend of online learning is no longer just a choice since technology continues to evolve; in fact as an agent of change it is rapidly becoming an element of changing the way world learns and grows.
Cloning Myself with AI: Four Ways to Multiply Faculty Presence for Graduate and Adult Learners - Sherrie Myers Bartell, Faculty Focus
Have you ever wished you could clone yourself? I have. For many faculty in graduate and adult education that longing is more than a passing thought. Balancing the multifaceted needs of students who rely on your expertise, guidance, and presence often feels impossible. While teaching realities mean we can’t be everywhere at once, AI offers practical ways to extend our reach, enabling high-touch interactions even as responsibilities multiply. Thoughtfully leveraged, these tools help orchestrate a more responsive classroom by offering prompt feedback, facilitating richer discussions, and generating tailored resources, all while preserving the essential human connection at the heart of meaningful learning.
Tuesday, March 31, 2026
What Comes After an MBA? Why Leaders Are Turning to AI - Boston University Virtual
The MBA is the defining credential for a generation of business leaders. It builds financial acumen, strategic thinking, and cross-functional fluency — the toolkit for managing complexity and driving organizational performance. For decades, it was the answer to the question every ambitious professional eventually asked: What’s my next move? That question is back. And for a growing number of leaders, the answer looks different than it once did. AI is not just changing the tools organizations use. It is changing how decisions get made, how processes run, who is accountable for outcomes, and what it means to lead. Business leaders with MBAs are finding themselves navigating a new kind of gap — not a lack of strategic instinct, but a lack of structured fluency in an AI-driven operating environment. And a targeted, business-focused Master’s degree in Artificial Intelligence is increasingly the credential they’re turning to.
The Apprenticeship (R)Evolution - Sara Weissman and Colleen Flaherty, Inside Higher Ed
Located near the sprawling Tahoe-Reno Industrial Center, home to Tesla Gigafactory 1, Truckee Meadows Community College trains Tesla employees in advanced manufacturing skills year-round. And while Tesla itself may be polarizing, the growth of the program is undeniable: In 2023, TMCC trained 85 Tesla apprentices; today, completers number 1,000-plus and growing—quickly. “They choose the courses from our catalog à la carte, and we train their workers five days a week, all day long, in four-week increments,” TMCC president Jeffrey Alexander said of Tesla. Apprentices “come to us, usually 30 to 35 per cohort, and we train them in the basics of automated production, programmable logic control and electromechanical systems, so that they are able to get to work at the gigafactory and really be very capable from day one.”
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
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.
Leading disruption before it leads you - McKinsey
The riskiest disruption isn’t necessarily the one coming. It may be the one CEOs refuse to lead.Today’s leadership mandate requires more than long-term strategy. In a recent interview with McKinsey’s Eric Kutcher, IBM CEO Arvind Krishna had advice for fellow leaders: “You’ve got to be willing to ‘do’: As opposed to getting disrupted by somebody else, disrupt yourself while you still have the cash flow and clients who value your capabilities.” That same urgency runs through recent conversations with CEOs on AI. Sanofi CEO Paul Hudson has been clear that this revolution can’t be delegated to a task force or tucked neatly under “innovation.” It requires CEO ownership. Meanwhile, Citi CEO Jane Fraser has argued that the goal of AI transformation isn’t automation layered onto old workflows—but redesign from the ground up.
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
Survey: How Should Universities Prepare for the AI Era? - Institute for the Future of Education
In January of this year, the Digital Education Council (DEC), in collaboration with Tecnológico de Monterrey, published a study it conducted with the participation of professors and students from 29 Latin American universities on the use of Artificial Intelligence (AI) in education. The results confirm a growing student adoption of AI, rising from 86% to 92%, while among teachers the growth was much greater: from 61% to 79%, an increase of 18 percentage points, compared to the 2025 global survey. Students express mature opinions on the use of AI. Although two-thirds of the students surveyed view it positively, 65% fear that its use will lead to superficial learning and discourage both critical thinking and creativity. The study indicates that students also understand the impact of this technology in the workplace: 73% expect to continue using AI in their future jobs, and their mastery of it makes them confident in their performance after graduation.
US universities pivot to AI degrees as campuses race to match the machine age - Times of India Education
Artificial intelligence has moved decisively from research corridors into the core of undergraduate education across the United States, forcing universities to redraw academic priorities with unusual speed.In the latest move, Northwestern University has announced a standalone undergraduate major in artificial intelligence, scheduled to roll out in the fall of 2026. The decision places the institution squarely within a rapidly expanding cohort of universities formalising AI as a primary field of study rather than a peripheral specialisation as reported by USA Today.The shift is not cosmetic. It signals a structural reorientation of higher education towards a technology that is already reshaping labour markets, governance frameworks, and industrial systems.
Exploring the connections between integrated sustainable curricula, generative AI tools, and perceived climate change capabilities across the global south and north using multi-analytics - Javed Iqbal, et al; Nature
These results highlight the potential of integrated sustainable curricula and climate change sensitivity to enhance climate change capabilities. Although ANN performed comparably with multiple linear regression, fsQCA showed that the presence of any single condition (integrated sustainable curricula, climate change sensitivity, or generative AI tool usage) was sufficient to explain high levels of climate change capabilities. To the authors’ knowledge, this study is the first to measure the moderated mediation among integrated sustainable curricula, generative AI tools, and climate change sensitivity in relation to climate change capabilities within Global South and North contexts, using PLS-SEM, fsQCA, and ANN analytics. Our study also provides implications for practitioners, such as university management, curriculum policymakers and teachers, along with future research directions.
Saturday, March 28, 2026
All Jobs Gone within 18 Months: Microsoft’s AI Chief Terrifying Prediction Explained - AIGrid
This podcast discusses the imminent impact of AI on the white-collar workforce, highlighting predictions from Microsoft’s AI CEO Mustafa Suleyman and Anthropic's Dario Amodei that most professional tasks could be automated within the next 12 to 18 months [00:00]. It explores the "quiet" nature of current job displacement, where data shows a significant drop in white-collar job openings since 2015 [03:22], and notes a 16% fall in employment among workers aged 22 to 25 in AI-exposed fields [11:18]. The video also covers legislative efforts to protect professions like law and medicine by banning AI from providing substantive professional advice [06:30]. The discussion further details a "chaotic" transition period predicted by Gartner, where companies may prematurely replace staff with AI only to rehire humans later due to service quality collapses [13:18]. As AI literacy becomes a formal credential, the labor market is expected to shift toward requiring "AI-free" skills assessments to verify human critical thinking [14:53]. While some firms like Klarna have already moved toward AI-first models, the podcast suggests the displacement will not be a straight line but a messy cycle of experimentation and correction [14:25]. [Summary facilitated by Gemini 3 Fast]
Report Outlines Framework for University’s Engagement with AI - Alec Gallimore & Ricardo Henao, Duke Today
Following the inaugural Duke AI Summit in 2024, Provost Alec D. Gallimore launched the AI at Duke initiative and charged its steering committee with identifying opportunities for elevating the university’s leadership in AI’s development, application and responsible oversight. The committee was co-chaired by Joseph Salem, Rita DiGiallonardo Holloway University Librarian and vice provost for library affairs; Tracy Futhey, vice president and chief information officer; and Ricardo Henao, associate professor of biostatistics and bioinformatics. Deliberating from June 2025 to January 2026, the steering committee worked closely with faculty-led advisory committees focused on four pillars – Life with AI, Advancing Discovery in the Age of AI, Sustainability in AI, and Trustworthy & Responsible AI – to develop the report. The recommendations aim to support Duke’s core missions of research and teaching by building technical capacity for AI development while advancing applications of AI that keep humans at the forefront of innovation.
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.
Friday, March 27, 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
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.
Sovereign AI: Building ecosystems for strategic resilience and impact - McKinsey
Sovereign AI is achievable only through an ecosystem effort that connects energy, compute, data, models, platforms, and applications across multiple actors. Sovereign AI refers to a nation’s or organization’s ability to develop and control its own AI capabilities to ensure strategic independence and alignment with domestic values and laws. That said, sovereign AI does not have a single definition; rather, it is the result of the interaction between four distinct components:
territorial: where data and compute physically reside
operational: who manages and secures data and compute
technological: who owns the underlying stack and intellectual property
legal: which jurisdiction governs access and compliance
Thursday, March 26, 2026
The next act for robotics: Human–machine collaboration - McKinsey
Mikell Taylor, director of robotics strategy at General Motors, discusses next-generation robots and dispels some common myths. Advances in AI, sensing, and manipulation are pushing robotics beyond isolated automation toward something fundamentally different. As manufacturers face reshoring pressures, fragile supply chains, and rising demands for flexibility, the question is no longer what robots can do alone, but how effectively people and machines can work together to create lasting value. The next generation of robots may look quite different from the systems showcased in today’s lab demos and videos—but the real shift will be less about appearance than about collaboration.
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.
Robot dogs are protecting data centers. Operators are seeing payoffs. - Lloyd Lee, Business Insider
AI is driving a historic buildout of massive data centers spanning dozens of acres. Boston Dynamics and Ghost Robotics see an opportunity to provide mobile security with robot dogs. Boston Dynamics said customers can see a payoff within 2 years. It's not just humans. The robots are Robot dogs have already been deployed by first responders, the military, and in other industrial sectors such as oil and mining. But the rapid pace of data center buildouts is creating another niche for the mechanical quadrupeds. for dogs, too and they could enter the red-hot space of securing AI data centers.
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