he tech industry around the world is in transition, with AI reshaping both organizations and the very nature of tech work. For Europe, the implications extend beyond productivity and innovation and touch economic growth, competitiveness, and inclusion. McKinsey analysis estimates that sovereign AI could add more than €480 billion in annual value to Europe’s economy by 2030. Yet the region continues to trail the United States, which is defining the pace and scale of global AI innovation.1
Wednesday, March 25, 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.”
Tuesday, March 24, 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.
Virginia Tech Libraries embrace AI - Lindsey Kudriavetz, Collegiate Times
Virginia Tech Libraries are working to be an artificial intelligence global model for higher education despite research and ethical concerns. “The old tag line for Virginia Tech is to invent the future,” said Tyler Walters, dean of University Libraries. “I think that attitude is still very imbued in the university … so we are looking at how we take this technology and incorporate it.” Virginia Tech Libraries’ digital archives have been implementing AI for approximately five years, according to Walters. The primary use of AI in the physical library is as a consolidation and organization tool. Generative AI is also being used as a tool for summarization of articles and papers. “(AI) saves us months and months of time just sitting there and manually reading and typing,” Walters said.
Monday, March 23, 2026
Why learning AI skills is no longer optional for job seekers | Opinion - Kimberly K. Estep, the Leaf
Proficiency in AI is no longer just an optional skill for job seekers. My organization recently surveyed over 3,000 employers around the country and found that more than half are testing new applicants for AI skills, and 25% are prioritizing candidates with some measure of AI fluency. And as time goes on, this seems to be only the beginning of the trend. AI has made a significant impact on the business world and has cooled the job market for many looking to find careers. It is a time of uncertainty.
OpenAI rolls out new ChatGPT workspace analytics for Enterprise and Edu users - ETIH
OpenAI has introduced an upgraded Workspace Analytics experience for ChatGPT Enterprise and ChatGPT Edu, giving administrators and organizational leaders new tools to track adoption, engagement, and usage trends across their AI deployments. The company announced the update on LinkedIn, saying the new analytics dashboard is designed to help organizations understand how ChatGPT usage is developing across teams and identify where additional training or enablement may be needed. The rollout reflects growing demand from schools, universities, and enterprises for clearer data on how generative AI tools are being used inside organizations.
Sunday, March 22, 2026
AI has exposed age-old problems with university coursework - Nafisa Baba-Ahmed, the Guardian
The frustration many academics are expressing about artificial intelligence and critical thinking is understandable (‘I wish I could push ChatGPT off a cliff’: professors scramble to save critical thinking in an age of AI, 10 March). But from my experience working with students on academic writing, blaming AI risks masking a problem that universities have lived with for years. In my work with students, I have long seen the ways in which thinking can be outsourced when assessment allows it: essay mills, shared past papers, model essays passed between cohorts, or heavy reliance on tutors and friends to structure assignments. Artificial intelligence did not invent this behaviour. It has simply industrialised a shortcut that already existed.
Supersonic Tsunami: The Next 6 Months: What's Coming, What It Means, and What You Need to Do - Peter H. Diamandis, Metatrends
If You’re an Entrepreneur: Stop designing for 2024 scarcity. Design for 2030 Abundance. Assume intelligence is free, energy is unlimited, robotic labor costs pennies. What becomes possible that’s impossible today? Your competitive advantage isn’t better execution, it’s imagination about tomorrow’s possibilities. If You’re an Investor: Own the infrastructure. AI chips, fusion energy, launch vehicles, robotics platforms. When the industry deploys a trillion dollars in AI infrastructure, that’s where generational wealth gets made. Jensen Huang just put $40 billion into Anthropic and OpenAI – follow the smart money. Position yourself before the inflection point becomes obvious to everyone. If You’re a CEO: Your industry is about to be stress-tested. Ask: What would our business look like if compute was free, energy unlimited, robotic labor scalable? If You’re a Student: Don’t compete with AI – collaborate with it.
Saturday, March 21, 2026
Daniel Priestley: AI Will Make Plumbers Earn More Than Lawyers! (2029 PREDICTION) - The Diary Of A CEO and Daniel Priestley
In this conversation, Daniel Priestley explores the transformative impact of AI on the global economy, predicting a major financial crisis by 2029 due to the unsustainable costs of maintaining data center infrastructure. He argues that while AI will commoditize intelligence and traditional professional roles like law, it will simultaneously elevate blue-collar trades and "irreplaceably human" skills. The "Jevons Paradox" suggests that as AI makes business creation cheaper and faster, we will see an explosion of niche, community-driven "lifestyle businesses" that prioritize personal connection and human experience over massive scale. Priestley emphasizes that the most defensible assets in an AI-driven world are personal branding, entrepreneurial thinking, and lived experience—elements that cannot be replicated by algorithms. He advises individuals to focus on "founder-opportunity fit," leveraging AI tools to prototype ideas quickly while staying anchored in real-world human relationships. The discussion also touches on broader societal shifts, including the risks of government over-involvement in the economy and the vital importance of family and meaningful struggle as the true sources of long-term fulfillment. [Gemini 3 provided assistance with the summary]
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.
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.
Thursday, March 19, 2026
University of Phoenix Scholars Publish Study on Academic Applications of Generative AI in Higher Education - University of Phoenix
University of Phoenix College of Doctoral Studies scholars Patricia Akojie, Ph.D., Marlene Blake, Ph.D., and Louise Underdahl, Ph.D. have published new research exploring how generative artificial intelligence (GenAI) tools are being used in academic environments. Their article, "Academic Applications of Generative Artificial Intelligence Tools: A Scoping Review," appears in the peer-reviewed International Journal of Digital Society. The study analyzes current scholarly literature on the academic applications of generative AI tools such as ChatGPT, focusing on their role in doctoral research, academic writing, literature review processes, and knowledge development. Using a scoping review methodology, the researchers identify emerging patterns in how AI technologies are being adopted across higher education, while also highlighting the importance of ethical guidelines, academic integrity, and responsible AI use.
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.”
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