In this video, the future of education is described as a fundamental platform shift where traditional universities must evolve or risk becoming obsolete. Huang argues that because the cost of intelligence is dropping, institutions can no longer rely on their old business model of bundling knowledge, networking, and credentials [02:09]. AI is transforming learning from a slow, expensive "knowledge distribution" process into an "intelligence factory" that is adaptive, personalized, and available 24/7 [02:42]. This shift moves the educational barrier from a student's ability to "do" a task to their ability to know "what" to do and why it matters, prioritizing judgment and curiosity over rote memorization [01:32]. As AI becomes a "force multiplier," the traditional four-year degree is being challenged by a model of continuous, project-based learning. Instead of "front-loading" education before starting a career, learners will use AI as a life-long thought partner to maintain "learning velocity" in an exponentially changing world [17:10]. The universities that survive will move away from being content providers and instead become "crucibles" for high-stakes practice, ethics, and character building—areas where human mentorship and social proof remain irreplaceable [08:19]. Ultimately, the video suggests that the rarest and most valuable skills in the AI era are not information retrieval, but "taste," "direction," and the courage to frame and solve complex, real-world problems [24:04]. (Gemini 3 assisted with summary)
Tuesday, January 27, 2026
Using ChatGPT isn't an AI strategy - Daphne Kohler, Big Think
You’ve probably heard that artificial intelligence has untapped potential in today’s workplaces. And sure, many organizations have signed enterprise contracts and deployed different AI tools across all business units. But as insitro CEO and AI expert Daphne Koller stresses, making a tool available is not the same as intentionally leveraging it to transform your organization.
Learning objectives:
Envision ways AI can support innovative work.
Establish realistic expectations for physical AI.
Develop and evaluate AI use cases.
Choose AI tools based on pragmatics, not promises.
Cultivate risk-resilient AI practices.
Designing the 2026 Classroom: Emerging Learning Trends in an AI-Powered Education System - Grace Goldstone, Faculty Focus
Across educational organizations, AI is moving from experimentation to impact. Each year, more institutions increasingly accelerate their use of AI. The global AI education market reached $7.57 billion USD in 2025, and is projected to exceed $112 billion USD by 2034. Looking forward to the classrooms of 2026, AI will expand its stance as a powerful service for learners and teachers alike. From the earliest stages of education, AI-driven platforms are helping provide real-time personalized English instruction, helping level the playing field for young learners in developing countries.
Monday, January 26, 2026
Agents, robots, and us: Skill partnerships in the age of AI - Lareina Yee, et al; McKinsey Global Institute
AI is expanding the productivity frontier. Realizing its benefits requires new skills and rethinking how people work together with intelligent machines. Work in the future will be a partnership between people, agents, and robots—all powered by AI. Today’s technologies could theoretically automate more than half of current US work hours. This reflects how profoundly work may change, but it is not a forecast of job losses. Adoption will take time. As it unfolds, some roles will shrink, others grow or shift, while new ones emerge—with work increasingly centered on collaboration between humans and intelligent machines.
https://www.mckinsey.com/mgi/our-research/agents-robots-and-us-skill-partnerships-in-the-age-of-ai
AI Won't Replace You: This will - There's an AI for That, YouTube
This video explores the idea that AI won't replace you by becoming "smarter," but rather by making execution and output so cheap and abundant that hiring a human for simple tasks no longer makes financial sense [00:00]. The narrator argues that the biggest mistake people make is trying to stay relevant by becoming faster at producing tasks or learning more tools [01:24]. Since tools eventually become mainstream and lose their leverage, the video suggests that true security in the AI era comes from shifting your focus from "output value" (the things you make) to "outcome value" (the results you deliver and the responsibility you take) [04:58]. To remain irreplaceable by 2026, the video identifies three critical human advantages: choosing the right problems to solve, making decisions under uncertainty, and owning accountability [05:34]. Instead of being a "task machine," you should aim to be an "operator" who uses AI as leverage to manage systems and drive real-world business goals like revenue and growth [06:40]. Ultimately, value will shift away from technical execution and toward high-level judgment, taste, and the ability to turn AI-generated outputs into meaningful outcomes [07:57]. (assistance provided by Gemini 3)
Reimagining the value proposition of tech services for agentic AI - McKinsey
After more than two years of navigating the transformative landscape of gen AI, technology services providers are now facing the emergence of a newer, more disruptive force to their business. Enterprises that have traditionally relied on these providers to manage their IT initiatives are now making significant investments in agentic AI, the next evolutionary stage of artificial intelligence. These organizations are cautiously optimistic that agentic AI will deliver the top- and bottom-line growth that gen AI has, to date, struggled to achieve. In response, most tech service players have started exploring use cases internally, such as agent-assisted software development, delivery management, and operations, as well as externally, including customer service, IT ticket resolution, and financial planning and analysis (FP&A) use cases.
Sunday, January 25, 2026
Women far outnumber men in law school, med school, vet school and other professional programs - Jon Marcus, Hechinger Report
Women studying veterinary medicine now outnumber men by four to one. It’s not just veterinary school. The number of women has surpassed the number of men in law school, medical school, pharmacy school, optometry school and dental school. Women in the United States now earn 40 percent more doctoral degrees overall, and nearly twice as many master’s degrees, as men, according to the U.S. Department of Education — a trend transforming high-end work.
Harnessing AI to expand scientific discovery - Hongliang Xin, Times Higher Ed
From drug design to climate modelling, artificial intelligence can process data at scales far beyond human capacity. Hongliang Xin argues that the future of research lies in harnessing agentic AI through human-guided discovery, When it comes to generative artificial intelligence, or GenAI for short, I am an optimist. Sure, universities need to be cautious. The technology is powerful, fast-moving and, in the wrong hands, potentially risky. AI – especially the emerging class of agentic AI, systems that can assist with complex tasks such as setting goals and making decisions – is not a threat to scholarship if meaningful human oversight and control over important decisions is maintained. In fact, it is an opportunity to extend it far beyond what we humans could achieve alone.
AI has moved into universities’ engine room, but no one is at the controls - Tom Smith, Times Higher Ed
By now, most universities have an artificial intelligence policy. It probably mentions ChatGPT, urges students not to cheat, offers a few examples of “appropriate use” and promises that staff will get guidance and training. All of that is fine. But it misses the real story. Walk through a typical UK university today. A prospective student may first encounter you via a targeted digital ad whose audience was defined by an algorithm. They apply through an online system that may already include automated filters and scoring. When they arrive, a chatbot answers their questions at 11pm. Their classes are scheduled by algorithms matching student numbers with lecture theatre availability, and their essays are screened by automated text-matching and, increasingly, other AI-detection tools. Learning analytics dashboards quietly classify them as low, medium or high risk. An early-warning system may nudge a tutor to intervene.
Saturday, January 24, 2026
Celebrating Faculty Strengths and Differences: A Positive Strategy for Thriving Academia - Maureen Hermann, Faculty Focus
In today’s complex academic landscape, fostering environments where faculty feel seen, valued, and celebrated is not merely ideal—it is essential. I consider myself truly blessed to work in a setting where individual strengths are not only recognized, but embraced and uplifted. This culture of respect and inclusion inspires innovation, deepens collaboration, and models the professionalism we strive to instill in our students. The culture within my field of nursing education is a powerful determinant of its success. When faculty are encouraged to bring their full identities, skills, and experiences to their roles, they are more likely to thrive—and so are the students they teach. The National League for Nursing (NLN, 2016) identifies inclusive excellence as a foundational element in achieving the mission of nursing education. In practice, this means creating an academic environment where diversity of thought, background, and expertise is actively celebrated rather than merely tolerated.
AI and the Art of Judgment - Art Carden, EconLib
A New York magazine article titled “Everyone Is Cheating Their Way Through College” made the rounds in mid-2025. I think about it often, and especially when I get targeted ads that are basically variations on “if you use our AI tool, you’ll be able to cheat without getting caught.” Suffice it to say it’s dispiriting. But the problem is not that students are “using AI.” I “use AI,” and it’s something everyone needs to learn how to do. The problem arises when students represent AI’s work as their own. At a fundamental level, the question of academic integrity and the use of artificial intelligence in higher education is not technological. It’s ethical. I love generative artificial intelligence and use it for many, many things.
FETC 2026: How CTE and AI Are Defining the Future of Learning - Amy Mcintosh, Ed Tech
Rather than treating vocational programs and college prep as separate tracks, career and technical education (CTE) should be seen as a flexible route to debt-free postsecondary options and in-demand roles across technology, trades and emerging AI-enabled fields. Available funding should be used strategically to ensure these programs can hold up in the long term, according to Corey Gordon, education strategist for CDW Education. “Ultimately, it comes down to the school knowing what they want to do and making sure people are bought in,” he said. “There are a lot of funding sources, so just make sure it's sustainable after that grant is gone, or it’s something that can be repeatable after you get the kids’ interest.” Technology should close opportunity gaps, not widen them. James Riley, CEO and co-founder of itopia, said that in one Brooklyn high school, he saw students going out of their way to get access to and teach themselves how to use professional-grade technologies. In a design class, he saw students asking for access to applications outside their course of study, such as Autodesk.
Friday, January 23, 2026
Four ways artificial intelligence (AI) takes shape at CWRU—and across higher education - Brianna Smith, Case Western News
Across higher education, conversations around artificial intelligence (AI) have shifted rapidly throughout the years. What began as debates over whether AI tools should be allowed in classrooms has evolved into a more nuanced question: how can universities use AI responsibly, ethically and effectively to enhance learning and research? At Case Western Reserve University, Sumon Biswas, PhD, assistant professor at the Department of Computer and Data Sciences, noted how institutions nationwide are moving away from blanket restrictions and toward intentional integration, increasing the need for campuswide guidance on acceptable AI use and disclosure, practical literacy and AI-enabled research workflows with stronger attention to verification and ethics.
6,000 Minnesota students go to online learning due to immigration actions - Imani Cruzen, Pioneer Press
More than 6,000 St. Paul public school students have registered to learn online in the past week as the federal government’s immigration enforcement operation continues. St. Paul Public Schools’ temporary online learning option takes effect Thursday and the deadline for families to register was Sunday. All 69 district schools have been closed through this Wednesday to give teachers time to prepare an online curriculum. Students registering late for the virtual option may have a delayed start time. The district has 33,000 students in total. The district introduced the temporary online learning option last week which allows students to register without transferring out of their school. Prior to that, students could request enrollment in the district’s online school if they felt unsafe attending class, which required transferring into SPPS Online School.
A new direction for students in an AI world: Prosper, prepare, protect - Mary Burns, Rebecca Winthrop, Natasha Luther, Emma Venetis, and Rida Karim, AP
Since the debut of ChatGPT and with the public’s growing familiarity with generative artificial intelligence (AI), the education community has been debating its promises and perils. Rather than wait for a decade to conduct a postmortem on the failures and opportunities of AI, the Brookings Institution’s Center for Universal Education embarked on a yearlong global study—a premortem—to understand the potential negative risks that generative AI poses to students, and what we can do now to prevent these risks, while maximizing the potential benefits of AI.
Thursday, January 22, 2026
Ads Are Coming to ChatGPT. Here’s How They’ll Work - Maxwell Zeff, Wired
OpenAI plans to start testing ads inside ChatGPT in the coming weeks, marking a significant shift for one of the world’s most widely used AI products. The company announced Friday that initial ad tests will roll out in the United States before expanding globally. OpenAI says ads will not influence ChatGPT’s responses, and that all ads will appear in separate, clearly labeled boxes directly below the chatbot’s answer. For instance, if a user asks ChatGPT for help planning a trip to New York City, they will still get a standard answer from the chatbot, and then they also might see an ad for a hotel in the area.
How course-sharing improved Adrian College’s bottom line - Alcino Donadel, University Business
Layoffs and program cuts have become a popular strategy to reduce staff size, the most significant expense for many cash-strapped colleges and universities. By sharing courses with other institutions, Adrian has reduced its academic budget by 13% without a layoff, all while launching 38 new academic programs in subjects such as supply chain management to cybersecurity, data analytics and public health. “These are just amazing majors that we can now afford to offer in a small classroom setting, and we can control—if not, reduce—our costs,” Docking says. “It’s a win all the way around. Docking believes cutting expenses will eventually pay dividends for its students. Over the next several years, the college aims to reduce tuition by 20-30%, Docking says.
Building leaders in the age of AI - Bob Sternfels, Børge Brende, and Daniel Pacthod, McKinsey
Artificial intelligence can write, design, code, and complete tasks at breakneck speed. It can help business leaders draft emails, create agendas, and quickly prepare for important meetings and difficult discussions. It can do all of that with just a few voice commands—but it still can’t do the hard work of leadership itself. Generative AI cannot set aspirations, make tough calls, build trust among stakeholders, hold team members accountable, or generate truly new ideas. That work remains deeply human—and more important to get right than ever before, given the scope of change and uncertainty with which today’s organizations are dealing.
Wednesday, January 21, 2026
Affective Intelligence in Artificial Intelligence - Ray Schroeder, Inside Higher Ed
As we look at artificial intelligence in teaching and learning, we must look beyond facts, figures and formulas to ensure that the skills of perceiving and managing feelings, emotions and personalization are engaged in the process. Some might believe that AI, as a computer-based system, merely addresses the facts, formulas and figures of quantitative learning rather than emotionally intelligent engagement with the learner. In its initial development that may have been true, however, AI has developed the ability to recognize and respond to emotional aspects of the learner’s responses.
Microcredentials Explosion Is Imminent And What It All Means - Neil Wolstenholme, FE News
A very significant structural shift in British education since the expansion of universities in the 1990s is imminent. While the headlines focus on tuition fees or teacher retention, a more profound revolution is taking place – one that challenges the very monopoly of the three-year degree The imminent explosion of microcredentials is a policy inevitability. With the rollout of the Lifelong Learning Entitlement in 2025, the UK Government will effectively decouple funding from the “full degree,” allowing learners to borrow money for individual modules and short courses. This legislative change is the spark that will ignite the powder keg. For the first time, the “atomisation” of education – that is breaking learning down into stackable, verifiable blocks – will have the financial backing of the State.
MOOC Market Trends 2025: AI, Micro-Credentials, and Workforce Upskilling - Open PR
The global MOOC market is witnessing strong double-digit growth, fueled by digital transformation, remote work, and the rising need for continuous skill development.
Market Size: Multi-billion-dollar global industry
Forecast Period: 2025-2032
Expected CAGR: ~39.20%
The post-pandemic shift toward online and hybrid learning models has permanently changed how individuals and organizations view education, making MOOCs a long-term growth engine.
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