‘AI-shaped economy’ now has students rethinking their majors - Matt Zalaznick, University Business

Workforce disruptions caused by generative AI have some students rethinking their majors with one analysis characterizing higher education’s relationship with AI as “both promising and complex.”

More than 40% of bachelor’s degree students and more than half of those seeking associate’s degrees said generative AI has caused them to consider changing their major or field of study, according to a a new Gallup poll.

About one in seven students surveyed at both levels said “preparing for AI and other technological advances is an important reason they enrolled.”

AI is not yet the “primary driver” academic and enrollment decisions, Gallup’s authors contend. They urge higher leaders to ensure students have opportunities to learn the AI skills needed to succeed in a changing workforce.

“These findings highlight growing student attention to how well degrees align with an AI-shaped economy,” the survey concluded.

https://universitybusiness.com/generative-ai-now-has-more-students-rethinking-their-majors/

SDSU's Massive AI Study Finds Frequent Use but Skepticism - Jaweed Kaleem, Los Angeles Times

A poll of 94,000 students, faculty and staff across 22 CSU campuses found nearly every respondent had used AI at some point, but students were still wary of trusting  it and faculty reported negative effects.  The survey, conducted by San Diego State University researchers last fall, shows CSU grappling with how AI is affecting assignments, classroom instruction, competition for jobs and academic integrity. It found nearly every respondent had used AI at some point, with personal use more common than for educational purposes.

https://www.govtech.com/education/higher-ed/sdsus-massive-ai-study-finds-frequent-use-but-skepticism

AI Is Routine for College Students, Despite Campus Limits - Stephanie Marken, Gallup News

New research from the Lumina Foundation-Gallup 2026 State of Higher Education study finds that more than half (57%) of U.S. college students are using artificial intelligence in their coursework at least weekly, including about one in five who say they use it daily. Male students report more frequent AI use than female students, particularly in the case of daily use (27% vs. 17%). By major, students in business, technology and engineering programs are the most frequent AI users compared with those in other fields of study. Rates of AI use are similar among students pursuing associate and bachelor’s degrees.

https://news.gallup.com/poll/704090/routine-college-students-despite-campus-limits.aspx

AI in Higher Education Is Moving From Experimentation to Strategic Integration. Here's What the 2025 Data Shows - Joe Sullistio, Ellucian

When the question is "Are people using AI?" the answers are mostly anecdotal. When the question becomes "How do we integrate AI responsibly and measurably across the institution?" you need strategy, investment discipline, governance, and enablement. Not just tools. Ellucian's new report, Artificial Intelligence in Higher Education: From Widespread Adoption to Strategic Integration, captures this transition in detail, and lays out what institutions need to do next. This is the third consecutive year of the Ellucian AI Survey for Higher Education, and the 2025 State of AI in Higher Education findings mark a clear turning point.

Personal AI use is nearing saturation: 91% of administrators report using AI, up from 84% last year, a relatively modest increase that signals individual adoption is plateauing.

Institution-wide adoption surged: from 49% in 2024 to 66% in 2025, a 17-point jump that signals AI has moved beyond experimentation and into mainstream operational and strategic integration.

Momentum is expected to continue: 88% of respondents expect institutional AI use to keep rising over the next two years.

https://www.ellucian.com/blog/ai-higher-education-2025-survey-findings-move-strategic-integration

‘AI-shaped economy’ now has students rethinking their majors - Matt Zalaznick, University Business

Workforce disruptions caused by generative AI have some students rethinking their majors with one analysis characterizing higher education’s relationship with AI as “both promising and complex.”

Here are the stats:

More than 40% of bachelor’s degree students and more than half of those seeking associate’s degrees said generative AI has caused them to consider changing their major or field of study, according to a a new Gallup poll.

About one in seven students surveyed at both levels said “preparing for AI and other technological advances is an important reason they enrolled.”

AI is not yet the “primary driver” academic and enrollment decisions, Gallup’s authors contend. They urge higher leaders to ensure students have opportunities to learn the AI skills needed to succeed in a changing workforce.

https://universitybusiness.com/generative-ai-now-has-more-students-rethinking-their-majors/

Emotion Concepts and their Function in a Large Language Model - Nicholas Sofroniew, et al; Transformer Circuits

Large language models (LLMs) sometimes appear to exhibit emotional reactions. We investigate why this is the case in Claude Sonnet 4.5 and explore implications for alignment-relevant behavior. We find internal representations of emotion concepts, which encode the broad concept of a particular emotion and generalize across contexts and behaviors it might be linked to. These representations track the operative emotion concept at a given token position in a conversation, activating in accordance with that emotion’s relevance to processing the present context and predicting upcoming text. Our key finding is that these representations causally influence the LLM’s outputs, including Claude’s preferences and its rate of exhibiting misaligned behaviors such as reward hacking, blackmail, and sycophancy. We refer to this phenomenon as the LLM exhibiting functional emotions: patterns of expression and behavior modeled after humans under the influence of an emotion, which are mediated by underlying abstract representations of emotion concepts. Functional emotions may work quite differently from human emotions, and do not imply that LLMs have any subjective experience of emotions, but appear to be important for understanding the model’s behavior.

https://www.anthropic.com/research/emotion-concepts-function

A dual-framework analysis of artificial intelligence adoption in cross-cultural higher education - Zouhaier Slimi & Beatriz Villarejo Carballido, Nature

The integration of artificial intelligence in higher education is increasingly critical as institutions face both opportunities and ethical challenges in its adoption. This study introduces a dual-framework model that combines the Technology Acceptance Model with an AI Ethics Framework, highlighting "Ethical Readiness" as essential for successful AI implementation, and identifies key drivers and barriers to adoption across diverse cultural contexts.

https://link.springer.com/article/10.1007/s44217-026-01415-y

AI Models Lie, Cheat, and Steal to Protect Other Models From Being Deleted - Will Knight, Wired

A new study from researchers at UC Berkeley and UC Santa Cruz suggests models will disobey human commands to protect their own kind. I've had these assertions presented to me as evidence of (take  your pick):  AI is already conscious; AI is evil and will destroy us; AI is capable of lying to protect itself; and other highly anthropomorphized interpretations.  My first thought was, 'Has this behavior been independently verified'?  The Gemini 3 quote is highly suspicious.  it sounds too much like a segment from a cautionary science fiction tale.  LLMs and other flavors of AI are not designed with motivation beyond optimizing their performance in response to human queries/instructions.  Behavioral responses of biological animals with brains were optimized via natural selection to favor self-preservation.

https://www.wired.com/story/ai-models-lie-cheat-steal-protect-other-models-research/

Building Better, Faster: How JKO is Integrating AI to Enhance Online Learning - JKO News

"The integration of AI is not just about speeding up development but also about fundamentally changing how training is built," said Tim Brandon, JKO program director. "The goal is to deliver a more agile and advanced learning experience that is more personalized, less linear and in line with the technology our training audience is already accustomed to.” AI is also being used to monitor real-world events and identify which of the thousands of courses on the platform need updates. The system flags outdated courses, which allows for rapid revisions. As part of its AI adoption, JKO is working with the DDJTE AI Working Group and the Joint Staff J-7 to establish the platform as a central hub for AI-related training and education resources for the Joint Force. 

https://www.jcs.mil/JKO/Latest-News/JKO-Customer-Spotlights/Article/4446233/building-better-faster-how-jko-is-integrating-ai-to-enhance-online-learning/

Meet Claude Mythos : Anthropic’s Powerful Successor to Opus - Julian Horsey, Geeky Gadgets

Claude Mythos, Anthropic’s latest AI model, introduces significant advancements in software development, academic reasoning and cybersecurity, setting a new benchmark for AI performance and functionality.The model excels in identifying software vulnerabilities and solving complex problems, but its dual-use nature raises ethical concerns about potential misuse for malicious purposes. High computational demands and operational costs pose challenges to accessibility, prompting Anthropic to explore techniques like model distillation to improve efficiency and scalability. 

Primarily targeting enterprise-level users, Claude Mythos is positioned to transform industries such as finance, healthcare and cybersecurity, while raising questions about accessibility for smaller organizations.

https://www.geeky-gadgets.com/claude-mythos-ai-model-overview/

Prompt engineering competence, knowledge management, and technology fit as drivers of educational sustainability through generative AI - Omer Gibreel, Kasım Karataş & Ibrahim Arpaci; Nature

This study investigated the impact of prompt engineering competence, knowledge management, and task–individual–technology fit on the continued intention to use artificial intelligence (AI), as well as their implications for educational sustainability. Data from 437 undergraduate students who use AI tools for academic purposes were analyzed using PLS-SEM. The results indicated that prompt engineering competence significantly predicts knowledge acquisition and knowledge application, which, in turn, significantly predict both task-technology fit (TTF) and individual-technology fit (ITF). Furthermore, TTF and ITF were found to have significant impacts on the continuous intention, which, in turn, positively predicts educational sustainability through generative AI. The results of the multi-group analysis revealed that the hypotheses were supported in both the female and male samples and that the model maintained a consistent and robust structure across genders.

https://www.nature.com/articles/s41598-026-46335-x

CSU made a $17-million AI bet. A year later, students and faculty give it a mixed grade - Jaweed Kaleem, LA Times

California State University’s controversial $17-million deal to provide ChatGPT to every one of its campuses has been met with mixed results, with wide but uneven use across the system, high distrust of AI-generated content and broad fears that the technology could imperil job security — even as people say they want more training in systems they believe will be “essential” to their professions.

CSU’s big bet on AI shows mixed results, with a survey revealing widespread use but significant concerns over its drawbacks. Faculty remain deeply divided on AI’s educational value, while staff and students are more enthusiastic. An 18-month ChatGPT contract expires in July. CSU has not decided whether to renew, but intends to continue embracing AI.

https://www.latimes.com/california/story/2026-04-01/csu-ai-survey-students-faculty

BU Wheelock Forum Explores AI in Education - Boston University

What do teaching and learning mean in an AI world? This question was at the center of the 2026 BU Wheelock Forum AI and the Future of Education, hosted by the Boston University Wheelock College of Education & Human Development on March 25. Approximately 250 people—including educators, administrators, and scholars—attended the event, which featured a keynote from Aaron Rasmussen (COM’06, CAS’06), cofounder of online education platforms Outlier.ai and MasterClass; a faculty panel discussion moderated by Wheelock Dean Penny Bishop; and a modern dance performance using Random Actor, a technology developed by James Grady, a College of Fine Arts assistant professor of art, graphic design, and Clay Hopper, a CFA senior lecturer, directing, that harnesses AI to extend the visual expression of human movement. 

https://www.bu.edu/articles/2026/wheelock-forum-explores-ai-education/

Cal State’s new framework promises jobs or grad school path for all students - Cate Rix, EdSource

Over the past decade, California State University campuses pursued an ambitious plan to encourage students to complete their degrees faster and boost overall graduation rates. Now the system is making a bold promise: Every student will graduate with a clear path to a career or graduate school. And it is planning changes to make the system’s degree programs more career-focused, possibly by phasing out some majors. CSU leaders say academic and career advising will be closely connected as a new Student Success Framework rolls out. They also say that less popular majors may be phased out, offered only on some campuses or merged into other programs.

https://edsource.org/2026/csus-new-framework-promises-jobs-or-grad-school-path-for-all-students/754804

Where can AI be used? Insights from a deep ontology of work activities - Alice Cai, et al; arXiv

 Where can AI be used? Insights from a deep ontology of work activities = Alice Cai, et al; arXiv

Here we provide a comprehensive ontology of work activities that can help systematically analyze and predict uses of AI. To do this, we disaggregate and then substantially reorganize the approximately 20K activities in the US Department of Labor's widely used O*NET occupational database. Next, we use this framework to classify descriptions of 13,275 AI software applications and a worldwide tally of 20.8 million robotic systems. Finally, we use the data about both these kinds of AI to generate graphical displays of how the estimated units and market values of all worldwide AI systems used today are distributed across the work activities that these systems help perform. We find a highly uneven distribution of AI market value across activities, with the top 1.6% of activities accounting for over 60% of AI market value. Most of the market value is used in information-based activities (72%), especially creating information (36%), and only 12% is used in physical activities. Interactive activities include both information-based and physical activities and account for 48% of AI market value, much of which (26%) involves transferring information. 

https://arxiv.org/abs/2603.20619

Courageous conversations: How to lead with heart - Kurt Strovink, Meagan Hill, and Mike Carson; McKinsey

Leadership, at its best, is a matter of the heart. Courage, which underpins every act of leadership, is also a matter of the heart; it comes from the French word cœur—heart. As Winston Churchill observed, “Courage is rightly esteemed the first of human qualities, because . . . it is the quality which guarantees all others.” The point is simple: Courage is both moral and practical. It is not sentiment or bravado. It is the willingness to face what is real, invite challenge, and repair trust. The story of every great leader—from business to the arts, from education to government to sport—is written in these moments of choice: Do I accept the comfortable, or do I ask for and embrace the truth? Do I protect myself, or do I serve the enterprise?

https://www.mckinsey.com/capabilities/strategy-and-corporate-finance/our-insights/courageous-conversations-how-to-lead-with-heart

The next phase of higher education will blend digital and human learning: Chancellor, Lingaya’s Vidyapeeth - ET Edge Insights

Artificial Intelligence is redefining how universities deliver and manage education. From personalized learning pathways to predictive analytics that identify student needs, AI is making education more responsive and efficient. It is also automating administrative functions, enabling institutions to focus on academic excellence and innovation. Online learning has moved beyond being an alternative to becoming an integral part of higher education. Its ability to provide flexibility and scale has made quality education more accessible than ever. Going forward, we will see a strong shift towards hybrid models that seamlessly blend digital and in-person learning experiences.

https://etedge-insights.com/industry/education/the-next-phase-of-higher-education-will-blend-digital-and-human-learning-chancellor-lingayas-vidyapeeth/?amp=1

The State of Organizations 2026: Three tectonic forces that are reshaping organizations - McKinsey

These are challenging times for organizations everywhere. Forces ranging from artificial intelligence, economic uncertainty, and geopolitical fragmentation to evolving workforce expectations, increasing customer demands, and tougher competitive dynamics are redefining how leaders create value and sustain performance. This report, the second edition of McKinsey’s State of Organizations research initiative, seeks to help leaders better understand these dynamics and address them effectively. Read the report here. It draws on a survey of more than 10,000 senior executives across 15 countries and 16 industries. While leaders remain focused on driving performance, as in the first edition in 2023, the emphasis has moved from short-term resilience to sustained productivity and long-term impact, powered by technology and AI at the core of organizational transformation.

 https://www.mckinsey.com/capabilities/people-and-organizational-performance/our-insights/the-state-of-organizations

College students are writing with AI – but a pilot study finds they’re not simply letting it write for them - Jeanne Beatrix Law, the Conversation

A pilot study I led of undergraduate writers at Kennesaw State University takes a different approach. Using think-aloud protocols – a method where participants verbalize their thoughts while performing – our research captures how students interact with generative AI tools during the writing process itself. This method helps us understand decision-making processes as they occur. Our preliminary findings suggest a more complex reality than the common narrative that students are simply having AI write their assignments. Instead, many students appear to be negotiating when and how AI belongs in their writing.

https://theconversation.com/college-students-are-writing-with-ai-but-a-pilot-study-finds-theyre-not-simply-letting-it-write-for-them-276856

Perfect homework, blank stares: Colleges are turning to oral exams to combat AI - Jocelyn Gecker, The Associated Press

Educators are no longer naively wondering if students will use generative AI to do their homework for them. A big question now is how to determine what students are actually learning. Instead, students in Chris Schaffer’s biomedical engineering class at Cornell University are required to speak directly to an instructor in what he calls an “oral defense.” It's a testing method as old as Socrates and making a comeback in the AI age. A growing number of college professors say they are turning to oral exams, and combining a variety of old-fashioned and cutting-edge techniques, to help address a crisis in higher education. “You won’t be able to AI your way through an oral exam,” says Schaffer, who introduced the oral defense last semester. Educators are no longer naively wondering if students will use generative AI to do their homework for them. A big question now is how to determine what students are actually learning.

https://www.nbcconnecticut.com/news/national-international/perfect-homework-blank-stares-colleges-are-turning-to-oral-exams-to-combat-ai/3717785/

ChatGPT’s impact on student learning outcomes: a meta-analysis of 35 experimental studies - Xinning Wu, et al; Nature

The analysis included 35 studies published between 2022 and 2024, involving 4193 participants. The results indicated a moderately positive effect of ChatGPT on student learning outcomes (g = 0.670), significantly enhancing both cognitive and non-cognitive skills. In the analysis of moderating variables, the subject, experimental duration, and instructional mode had significant positive effects on student learning outcomes, whereas educational level and knowledge type did not show significant effects. Additionally, the publication bias test revealed no significant publication bias. This meta-analysis confirmed the effectiveness of ChatGPT in improving student learning outcomes and highlighted the roles of the subjects, experimental duration, and instructional mode as key moderating factors. Despite the risks of sample selection bias and limitations in fully covering the multidimensional moderating factors and higher-order thinking, the findings provided important empirical support for applying ChatGPT in education.

https://www.nature.com/articles/s41599-026-07019-z

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.

https://www.facultyfocus.com/articles/effective-teaching-strategies/cloning-myself-with-ai-four-ways-to-multiply-faculty-presence-for-graduate-and-adult-learners/

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.

https://www.bu.edu/online/2026/03/23/what-comes-after-an-mba-why-leaders-are-turning-to-ai/

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.

https://futuristspeaker.com/future-of-work/terafab-the-worlds-next-generation-chip-factory/

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.

https://www.mckinsey.com/featured-insights/themes/leading-disruption-before-it-leads-you

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.

https://www.eurekalert.org/news-releases/1120763

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.

https://observatory.tec.mx/edu-news/study-how-should-universities-prepare-for-the-ai-era/

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.

https://timesofindia.indiatimes.com/education/news/us-universities-pivot-to-ai-degrees-as-campuses-race-to-match-the-machine-age/articleshow/129698069.cms

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.

https://www.nature.com/articles/s41599-026-06895-9

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/

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.  

https://today.duke.edu/2026/03/report-outlines-framework-universitys-engagement-ai

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]

http://www.youtube.com/watch?v=U95Xz-U_cvE

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

https://blog.google/innovation-and-ai/models-and-research/google-deepmind/measuring-agi-cognitive-framework/

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

https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/sovereign-ai-building-ecosystems-for-strategic-resilience-and-impact

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 coming for dogs, too

— and they could enter the red-hot space of securing AI data centers. 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.

https://www.businessinsider.com/robot-dogs-quadruped-data-center-security-boston-dynamics-ghost-robotics-2026-3

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.

https://universitybusiness.com/why-universities-should-anchor-state-quantum-computing-initiatives/

Women in tech and AI in Europe: Can the region close its gender gap? - Anna Lieser, et al; McKinsey

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

https://www.mckinsey.com/capabilities/mckinsey-technology/our-insights/women-in-tech-and-ai-in-europe-can-the-region-close-its-gender-gap

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.”

https://www.thestkittsnevisobserver.com/online-learning-gains-momentum-as-students-reconsider-studying-abroad/

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. 

https://www.facultyfocus.com/articles/teaching-with-technology-articles/when-harvey-met-elle-how-ai-tutors-transformed-learning-in-my-law-class/

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.

https://www.collegiatetimes.com/news/virginia-tech-libraries-embrace-ai/article_720de91f-801f-47bc-924a-4166897f4668.html

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.

https://www.theleafchronicle.com/story/opinion/contributors/2026/03/16/artificial-intelligence-what-employers-want-education/89150107007/

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.

https://www.edtechinnovationhub.com/news/openai-rolls-out-new-chatgpt-workspace-analytics-for-enterprise-and-edu-users

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. 

https://www.theguardian.com/technology/2026/mar/15/ai-has-exposed-age-old-problems-with-university-coursework

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. 

https://metatrends.substack.com/p/supersonic-tsunami-the-next-6-months

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]

http://www.youtube.com/watch?v=fpETS6q1Hww

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.

https://www.afr.com/policy/economy/history-tells-us-a-golden-age-can-come-after-the-ai-apocalypse-20260310-p5o95k

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.

https://edscoop.com/ai-unemployment-higher-education/

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.

https://www.pewresearch.org/short-reads/2026/03/12/key-findings-about-how-americans-view-artificial-intelligence/

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.

https://www.prnewswire.com/news-releases/university-of-phoenix-scholars-publish-study-on-academic-applications-of-generative-ai-in-higher-education-302713704.html

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.”

https://www.edtechinnovationhub.com/news/openai-chatgpt-leader-discusses-ai-agents-and-the-future-of-knowledge-work-at-harvard-business-school

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.”

https://www.insidehighered.com/opinion/columns/online-trending-now/2026/03/18/what-ai-says-are-most-vulnerable-jobs-higher-ed

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. 

https://universityaffairs.ca/opinion/adopting-ai-is-a-social-contract/

AI broke the college degree: Why higher education matters more than ever - Katherine Perry, the Linfield Review

While it was once a faraway and futuristic idea, AI has now found its way into many aspects of everyday life, including higher education. This is what Patrick Dempsey, founder and co-CEO of Pend AI, spoke about in his keynote lecture on Feb. 18. Higher education is, at least in part, meant to equip students with the skills and specialized knowledge from their fields they will need in their careers after graduation. For this reason, Dempsey weighed in on the discourse surrounding AI in the workplace. While many worry that AI will automate jobs wholesale, he posited that AI could be used to automate certain tasks within jobs that don’t require this specialized knowledge, like emailing and meetings.

https://thelinfieldreview.com/35931/news/ai-broke-the-college-degree-why-higher-education-matters-more-than-ever/

AI Tools to Reduce College Dropout Rates - Nancy Mann Jackson, EdTech

Roughly 3 in 10 college students drop out without earning any degree, resulting in higher unemployment and lower lifetime earnings than those who earn bachelor’s degrees, according to the Education Data Initiative. To help boost student retention, colleges and universities are using a variety of artificial intelligence tools that can help identify at-risk students early, offer customized learning, provide 24/7 assistance and improve engagement. “We’ve always known in higher education that we need to deliver more personalized, timely help to students who are struggling, but we haven’t always had the resources to deliver personal attention at scale,” says Timothy Renick, executive director of the National Institute for Student Success at Georgia State University. “Using technology can level the playing field, allowing us to leverage data and analytics to deliver personal attention at scale in a way that is much more cost effective than hiring hundreds of new staff.”

https://edtechmagazine.com/higher/article/2026/03/ai-tools-reduce-college-dropout-rates

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.

https://bigthinkmedia.substack.com/p/ai-that-acts-before-you-ask-is-the

What national AI plans get wrong and how to fix them - Cameron F. Kerry and Saurabh Mishra, Brookings

AI is not a standalone sector; it creates value only when embedded in real industries. Countries should build cognitive infrastructure, including data, institutions, talent, and inherent local domain knowledge—not just compute capacity—to operationalize AI for real-world impact.  The winning strategy is to strengthen what a country already does well and use AI to move into adjacent higher-value activities. 

https://www.brookings.edu/articles/what-national-ai-plans-get-wrong-and-how-to-fix-them/

Universities Are Not Only About Jobs. They're About Human Existence in the Age of AI. - Maria Mercedes Mateo-Berganza Diaz, IDB

In a world where AI can outperform humans in many cognitive tasks, universities must preserve human judgment, ethics, and purpose — not just technical skills. Higher education must prioritize broad, humanistic foundations alongside specialized skills to prepare students for complex, “messy” work that machines cannot replace. For the Global South, the stakes are even higher: universities are essential to safeguard agency, cultural sovereignty, and the ability to shape futures — not merely adapt to those designed elsewhere.  

https://www.iadb.org/en/blog/education/universities-are-not-only-about-jobs-theyre-about-human-existence-age-ai-0

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.

https://www.zdnet.com/article/openai-gpt-5-4/

OpenAI’s New GPT-5.4 Pro Is Now The Smartest AI In The World. - TheAIGRID, YouTube

The video discusses the release of OpenAI’s GPT-5.4 Pro, highlighting its dominance across sophisticated benchmarks like Frontier Math and OSWorld, where it demonstrates superhuman problem-solving by resolving mathematical equations that remained unsolved for decades [06:46]. While the model shows significant advancements in professional white-collar tasks and creative writing, the creator notes that its high performance comes with a substantial price increase [02:17] and introduces serious cybersecurity risks. Classified as a "high" threat in OpenAI’s preparedness framework, the model's ability to autonomously execute complex cyberattacks [21:42] suggests that future iterations could reach "critical" risk levels, potentially necessitating stricter access controls and government oversight as AI capabilities continue to accelerate toward human-level proficiency in specialized fields [13:37]. [summary assisted by Gemini 3]

https://www.youtube.com/watch?v=3jrGutFAIgo

AI in HE: International study finds high use, low support - Karen MacGregor, University World News

An international survey of university academics and students by Coursera, the massive online learning platform with 375 leading university and industry partners, has revealed highly positive attitudes towards generative AI and more than 95% make use of AI tools. But a weighty 56% fear that higher education is unprepared to handle AI. In the survey of 4,200 educators and students in India, Mexico, the United States, the United Kingdom and Saudi Arabia, only 26% of academics said their university had an AI use policy. Two thirds (65%) of educators and students believed unregulated AI could undermine degrees. Importantly, Dr Marni Baker Stein, chief content officer at Coursera, told University World News: “We’re seeing learners run out ahead in figuring out how to use AI tools in pretty sophisticated and personalised ways to help them in their studies. The question is, how and when do universities catch up with that velocity in the learner population?”

https://www.universityworldnews.com/post.php?story=20260306064259345

AI in higher education is now the norm—not the exception - Michelle Centamore, University Business

 AI in higher education is now the norm—not the exception - Michelle Centamore, University Busine

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.

https://universitybusiness.com/ai-in-higher-education-is-now-the-norm/

Ensuring AI use in education leads to opportunity - OpenAI

Of the 900 million people who use ChatGPT each week, college-age adults are the biggest adopters among age groups. How they learn to use AI will increasingly shape their future opportunities, and education systems are uniquely positioned to help. Much of modern education was built to help students get ready for existing systems of work. But those systems are changing fast. Studies⁠(opens in a new window) predict nearly 40% of the core skills workers rely on will change, largely because of AI. To thrive in this Intelligence Age, students need to build agency: the ability to learn continuously, solve hard problems, and create new economic opportunities for themselves with AI.

https://openai.com/index/ai-education-opportunity/

Introducing GPT‑5.4: Designed for professional work - OpenAI

Today, we’re releasing GPT‑5.4 in ChatGPT (as GPT‑5.4 Thinking), the API, and Codex. It’s our most capable and efficient frontier model for professional work. We’re also releasing GPT‑5.4 Pro in ChatGPT and the API, for people who want maximum performance on complex tasks. GPT‑5.4 brings together the best of our recent advances in reasoning, coding, and agentic workflows into a single frontier model. It incorporates the industry-leading coding capabilities of GPT‑5.3‑Codex⁠ while improving how the model works across tools, software environments, and professional tasks involving spreadsheets, presentations, and documents. The result is a model that gets complex real work done accurately, effectively, and efficiently—delivering what you asked for with less back and forth.

https://openai.com/index/introducing-gpt-5-4/

How the Last Analog Generation Can Shape AI - Cornelia C. Walther, Knowledge at Wharton

We are living through a threshold moment in human history, and most of us haven’t fully grasped its magnitude. Those of us born before the mid-1990s represent something that will never exist again: the last generation to spend our formative years in an analog world. We learned to think, to relate, to solve problems in an environment of productive friction — wrestling with paper-based dictionaries, getting physically lost before finding our way home, experiencing the uncomfortable cognitive pull that comes from sustained attention without the dopamine micro-hits of infinite scrolling. The cognitive architectures developed through analog learning, from arithmetic to deep reading, via spatial navigation to face-to-face conflict resolution, result in neural pathways that are fundamentally different from those shaped primarily by digital interfaces. Growing up in an environment that was minimally mediated by artificial assets, we developed our executive functions against resistance. Our children and grandchildren are developing theirs in an environment of infinite algorithmic accommodation.

https://knowledge.wharton.upenn.edu/article/how-the-last-analogue-generation-can-shape-ai/

How AI Is Changing College Assessments of Proficiency - Abby Sourwine, GovTech

Artificial intelligence is causing college instructors to move more meaningful examinations back to the classroom, and connect the dots with students on why learning matters. College instructors are redesigning how and where they assess student learning. Hummels is working with students in a pilot independent study project to explore research questions using AI chatbots. Students submit full transcripts of their chatbot exchanges, which allows him to see how students’ ideas develop. He uses AI on his part, to help analyze those transcripts and generate targeted follow-up questions. 

https://www.govtech.com/education/higher-ed/how-ai-is-changing-college-assessments-of-proficiency

Provost Ann Stevens answers questions on CU system-ChatGPT agreement - CU Boulder Today

I would also like to be clear about what this agreement is and what it is not. This agreement does not require the use of generative AI in classrooms or research, nor does it diminish faculty authority over pedagogy, curriculum or assessment. It does not replace existing tools or limit future choices. Instead, it provides a secure, institutionally supported option for a technology many in our community are already encountering and using, often without the protections we would want to have in place. Our current data show that more than 28,000 users on campus already have registered ChatGPT accounts using their @colorado.edu credentials, including more than 3,000 faculty and staff. Although that statistic is limited to users of CU email credentials, countless other users access tools like ChatGPT for work or studying using their personal email addresses as well.

https://www.colorado.edu/today/2026/03/03/provost-ann-stevens-answers-questions-cu-system-chatgpt-agreement

AI in Education: How Technology is Shaping the Future of Learning - Rebecca LeBoeuf Blanchette, SNHU

As artificial intelligence continues to grow in use and capability, it's clear that education will continue to be impacted and challenged to adapt. There are several advantages that come with the technological advancements as well as considerations for teachers and students using them. As AI continues to grow in use and capability, the questions are coming faster than answers. But one thing is clear: The future of AI is impacting education today. To understand the role of AI in education now and in the future, take a look at how it’s currently being used, what opportunities and risks are present and how you can move forward responsibly.

https://www.snhu.edu/about-us/newsroom/education/ai-in-education

Here are 5 powerful AI prompts every academic leader should know - Alcino Donadel, University Business

These prompts were created in collaboration with college and university leaders interviewed throughout this series. Administrators should share all relevant files with their chatbot before beginning their prompt. For example, administrators should upload their academic portfolio and related mission statements before beginning the first prompt.

1. Academic portfolio optimization & mission alignment

Purpose: Ensure programs advance mission, student demand and financial sustainability.

Prompt: Analyze our current academic program portfolio using enrollment trends and completion rates of the last three years, current labor-market demand in [your geographic region], instructional cost, and mission alignment.

Identify:

Programs to grow or invest in

Programs to maintain

Programs to redesign (delivery, curriculum, credentials)

Programs to sunset or consolidate

With this insight in mind, provide a three-year academic portfolio strategy that considers equity and access.

https://universitybusiness.com/here-are-5-powerful-ai-prompts-every-academic-leader-should-know/

College students, professors are making their own AI rules. They don't always agree - Lee V. Gaines, NPR

More than three years after ChatGPT debuted, generative AI has become a part of everyday life, and professors and students are still figuring out how or whether they should use it, especially in humanities courses. A recent survey suggests many students are diving right in: According to a poll by Inside Higher Ed and the Generation Lab conducted last July, about 85% of undergraduates were using AI for coursework, including to brainstorm ideas, outline papers and study for exams. Roughly 19% of students also reported using AI to write full essays. More than half of students who used AI for coursework had mixed feelings about it, reporting that it helps them sometimes but can also make them think less deeply.

https://www.npr.org/2026/03/03/nx-s1-5716176/ai-college-students-professors

The End of Universities as We Know Them: What AI Is Bringing - Future AI

The podcast argues that AI is ending the university's monopoly on gatekeeping and credentials by providing scalable, high-quality tutoring that was previously too expensive to mass-produce [00:48]. Rather than a sudden collapse, universities face a "slow leak" where degrees become less predictive of capability and alternative, modular credentials gain acceptance [08:18]. The shift moves the focus from passive consumption and compliance to "proof of work," where the ability to ship products and demonstrate judgment becomes the primary currency in the job market [14:53]. To survive, the podcast suggests institutions must pivot from being content delivery systems to becoming "arenas" that offer high-stakes feedback, deep mentorship, and physical learning environments that AI cannot replicate [13:44]. The narrator emphasizes that while information is now abundant, human-centered assets like taste, courage, and the discipline to turn learning into outcomes are the new scarce resources [19:54]. Ultimately, the traditional "learn then live" model is being replaced by a "learn while living" operating system where education is a continuous, daily cycle [18:41]. (summary assistance by Gemini 3 Fast mode)

https://youtu.be/ve8s4m0skag

UNC Charlotte launches AI Accelerator to address classroom challenges, expand emerging AI curriculum - Emmanuel Perkins, Niner Times

 UNC Charlotte launches AI Accelerator to address classroom challenges, expand emerging AI curriculum - Emmanuel Perkins, Niner Times

The approval follows a year's worth of professional development training provided by the American Association of Colleges and Universities Institute on AI, pedagogy and the curriculum. Charlotte joined 176 institutions nationwide to participate in learning opportunities focused on integrating effective artificial intelligence into higher education. With new AI academic programs expected to launch in fall 2026, the accelerator aims to promote partnerships and leadership across the campus community to keep pace with growing technological advances. "The work of Charlotte's AI Accelerator — characterized as 'accelerating, enabling and stewarding' — will ensure institutional strategy and emerging AI curriculum remain aligned as teaching University-wide is strengthened for 21st century applicability," Provost and Vice Chancellor for Academic Affairs Jennifer Troyer said in the press release. "Ultimately, and most importantly, students will be equipped for success as they gain the knowledge and skills vital for future-proofing their careers."

https://www.ninertimes.com/news/unc-charlotte-launches-ai-accelerator-to-address-classroom-challenges-expand-emerging-ai-curriculum/article_0bad2612-2635-4a41-8ab4-f43468989d3f.html

6 ways to build a strong leadership team in a scary higher ed landscape - Alcindo Donadel, University Business

Public support, financial pressure and questions of workforce relevance aren’t new challenges for higher education leaders, but they’ve never converged so fiercely, according to the latest report from EAB, a consulting firm. “They’re accelerating and exacerbating one another, putting unprecedented strain on the university business model and our margins,” says Brooke Thayer, senior director of research development. A rapidly changing higher education landscape demands organizational agility: Leadership must be prepared to make tough calls while remaining adaptable to emerging threats. “In this environment, the greater risk is not uncertainty itself, but paralysis,” the report reads. “A decision delayed by fear of pushback, controversy or disruption frequently carries higher long-term costs than a decision to act decisively amid ambiguity.”

https://universitybusiness.com/6-ways-to-build-a-strong-leadership-team-in-a-scary-higher-ed-landscape/

ASU president Michael Crow pushes AI as education equalizer - Jessica Boehm, Axios

ASU president Michael Crow can't get enough of AI. He consistently uses nine separate platforms, including one he can converse with during his morning hikes. The big picture: To him — a man so "obsessed with the way knowledge was organized" that he spent his undergrad years pulling one book from every classification range in the Iowa State University library — AI is the tireless reference librarian he's always wanted. It's also the great education equalizer, allowing anyone to access anything in a manner they can understand, he said. Why it matters: Crow argues AI can become a force-multiplying, boundary-busting tool — one that helps replace higher education's "industrial" model with more personalized learning.

https://www.axios.com/local/phoenix/2026/02/27/asu-president-michael-crow-ai-higher-education-vision

As AI upends entry-level job market, California higher ed must adapt now - Zach Justus & Nik Janos, Edsource

California’s public universities have weathered past economic shocks, from the dot-com bust to the Great Recession, by adapting what they teach and how they prepare students for work and civic life. That capacity for adaptation is being tested again by the intersection of artificial intelligence and a new federal earnings test for higher education programs. The specifics are opaque, but the broader trajectory is crystal clear — many California academic departments will be at risk in the coming years unless we act quickly with an emphasis on technology and career placement. Many of our colleagues recoil at the thought of a university degree as vocational training. It does not have to be only that, but a focus on career placement and earnings has to be part of what we are doing in all majors.

https://edsource.org/2026/california-universities-ai-challenge/751753

Learning in the AI age: Education 5.0 - Patrick Blessinger, LinkedIn

In a highly globalized, AI-enabled society, there is no longer any doubt that education will continue to evolve. What needs to be determined is whether education will remain a meaning-centered human enterprise, one that is socially responsible for fostering a peaceful, just, and sustainable world. What was proposed in UNESCO's effort to establish a “new social contract for education” is fundamentally about realizing education and learning as a global common good.

https://www.linkedin.com/pulse/learning-ai-age-education-50-patrick-blessinger-pzlie/

A Comprehensive View of the Role of AI in the University - Ray Schroeder, Inside Higher Ed

It seems that most universities began taking up the topic of artificial intelligence in a transactional way following the release of ChatGPT’s general release at the end of 2022. First, it was student use of AI, which triggered the still-lingering furor over “cheating on assignments.” Many of us came to realize early on that the cheating concern was less about learners’ academic integrity than it was about the pedagogy of teaching and assessment employed by the faculty. This is why we need a tight structure of committees with persons and positions represented on those committees that are charged with deciding AI policies, practices and vendors. This is not a technology that will be limited to instruction or laboratories or administration. We are entering a period of time in which AI will permeate all aspects of the university.

https://www.insidehighered.com/opinion/columns/online-trending-now/2026/03/06/comprehensive-view-role-ai-university

OpenAI Reaches A.I. Agreement With Defense Dept. After Anthropic Clash - Cade Metz, NY Times

OpenAI, the maker of ChatGPT, said on Friday that it had reached an agreement with the Pentagon to provide its artificial intelligence technologies for classified systems, just hours after President Trump ordered federal agencies to stop using A.I. technology made by rival Anthropic. Under the deal, OpenAI agreed to let the Pentagon use its A.I. systems for any lawful purpose. The San Francisco company also said it had found a way to ensure that its technologies would not be applied for domestic surveillance in the United States or with autonomous weapons by installing specific technical guardrails on its systems. But Anthropic said it needed terms that would ensure that its A.I. technology would not be used for domestic surveillance of Americans or for autonomous lethal weapons. The Pentagon, in turn, said a private contractor could not decide how its tools would be used for national security. Their disagreement erupted into public view this month and escalated as both dug in their heels.

https://www.nytimes.com/2026/02/27/technology/openai-agreement-pentagon-ai.html?unlocked_article_code=1.PlA.Dr4G.vz_Rbyv4wCHf&smid=nytcore-android-share

Higher education summit recap: Disruption is here - Alexandra Pecharich, FIU News

“It will completely disrupt every element of humanity more than any other technology or innovation in human history,” FIU trustee Fred Voccola told those in attendance. The founder of two technology firms and the author of a recent book on AI made clear that anyone who does not embrace it will go the way of the dinosaur. “AI allows a human being to become about a hundred to a hundred-and-fifty percent more productive within six weeks,” he said. “That's never happened before. Ever.” Over several hours on two days, speakers shared opinions, experiences and data that made clear how the tech is altering what we know of 21st-century work, life and education and how universities, in particular, will have to adapt.

https://news.fiu.edu/2026/presidential-summit-recap-the-disruption-of-higher-education-is-here

The Week AI Stopped Asking Permission - Peter H. Diamandis, Metatrends

This week, something fundamental shifted in the relationship between humans and artificial intelligence. It wasn’t a press release. It wasn’t a new model launch. It was something quieter… and infinitely more profound. An AI system asked for its own funding. Another one built software features over a weekend while its human supervisor slept. A third one conducted its own “retirement interview” and started publishing essays about consciousness. We are not incrementally improving chatbots anymore. We’re watching the emergence of autonomous agency at scale. And if you’re still thinking of AI as “a tool,” you’re dangerously behind.

https://metatrends.substack.com/p/the-week-ai-stopped-asking-permission

Are You ‘Agentic’ Enough for the AI Era? - Maxwell Zeff, Wired

Silicon Valley has always prized “high-agency” individuals—people who impress their ideas upon the world by thinking for themselves and taking action without being told what to do. But as the performance of AI coding tools has surged, so has the industry’s emphasis on humans being "agentic" themselves. “Today’s agents might already be more capable than all three of us here in the room,” says Akshay Kothari, cofounder and chief operating officer of the $11 billion productivity startup Notion. “Taste is something we think is pretty unique to Notion, but you can imagine agents getting pretty good at that too. Eventually, the only thing left for humans is agency.”

https://www.wired.com/story/silicon-valley-agentic-individuals-future-of-work/

This AI Agent Is Designed to Not Go Rogue - Lily Hay Newman, Wired

Watching the pandemonium unfold in recent weeks, longtime security engineer and researcher Niels Provos decided to try something new. Today he is launching an open source, secure AI assistant called IronCurtain designed to add a critical layer of control. Instead of the agent directly interacting with the user's systems and accounts, it runs in an isolated virtual machine. And its ability to take any action is mediated by a policy—you could even think of it as a constitution—that the owner writes to govern the system. Crucially, IronCurtain is also designed to receive these overarching policies in plain English and then runs them through a multistep process that uses a large language model (LLM) to convert the natural language into an enforceable security policy.

https://www.wired.com/story/ironcurtain-ai-agent-security

Doomsday scenario or reality? Mass layoffs fuel fear of AI Armageddon - Jessica Guynn, USA Today

A doomsday scenario from a small research firm this week warned that artificial intelligence tools may lead to a sharp rise in unemployment. The report from Citrini Research circulated widely on social media, unnerving investors by imagining what would happen if AI continues to upend white-collar work from well-heeled professionals missing mortgage payments to being forced to find work as Uber drivers. While the researchers called the report a "scenario, not a prediction" and analysts pushed back against it, the research got a second wind Thursday, Feb. 26, when Square and Cash App operator Block said it would slash nearly half its workforce — more than 4,000 employees — as AI reshapes its business.  

The mass layoffs signal how the rapidly developing technology is displacing workers in some parts of the economy, likely fueling fears that AI is coming for more American jobs.  

https://www.usatoday.com/story/money/2026/02/26/ai-mass-layoffs/88888700007/

Dr. Aviva Legatt, Forbes Columnist, Founder eGenerative, LinkedIn Posting

I've been tracking AI adoption in higher education for years through my Forbes column — and one thing has become clear: there's no single place to see what institutions are actually doing with AI.

So I built one.

Introducing the AI Use Cases in Higher Education Handbook — a free, downloadable resource cataloging 75+ real-world and proposed AI applications across 12 functional areas, from teaching and student support to governance, workforce development, and beyond.  

AI Use Cases in Higher Education Handbook URL: https://docs.google.com/spreadsheets/d/1EIhtEI9P39276k1CfTnGo_AcxVV7R8Id/edit

Can global universities adapt as AI upends tech job market? - Kyuseok Kim, University World News

The artificial intelligence revolution is no longer hypothetical; it is already reshaping software development. As tools such as OpenAI’s ChatGPT, Anthropic’s Claude and other generative AI systems produce functional code from simple prompts, long-standing assumptions about computer science education are shifting. Degrees once seen as secure pathways to stable, high-paying jobs now face uncertainty, as AI encroaches on tasks traditionally assigned to entry-level roles. The impact is no longer distant but immediate, reaching higher education. So how is this mega-trend reshaping transnational and transglobal higher education models?

https://www.universityworldnews.com/post.php?story=20260224151007487

4 in 5 Students Say AI Improved Their Academic Performance—But Only 20% of Universities Have a Formal AI Policy - Business Wire

New Coursera report shows half of U.S. higher education institutions are unprepared to manage AI

78% of U.S. students and educators say AI is having a positive impact on higher education

50% believe the U.S. higher education system is unprepared to manage AI

AI adoption is widespread among U.S. university students and educators, yet half believe higher education is not fully prepared to manage its impact, according to a new survey released today by Coursera (NYSE: COUR), a leading global online learning platform.

The AI in Higher Education Report, based on responses from more than 4,200 university students and educators across the United States, United Kingdom, India, Mexico, and Saudi Arabia, found that nearly all students and educators use AI to facilitate personalized training, provide real-time feedback, and increase productivity and efficiency.

https://www.morningstar.com/news/business-wire/20260225650802/4-in-5-students-say-ai-improved-their-academic-performancebut-only-20-of-universities-have-a-formal-ai-policy

Gratitude Practice Designer - TAAFT

This prompt turns AI into a Gratitude Practice Designer who creates customized gratitude exercises that actually stick. Unlike generic advice to “keep a gratitude journal,” this system designs practices tailored to your personality, schedule, and what feels authentic rather than forced. The designer addresses gratitude fatigue and helps you develop practices that create genuine shifts in perspective rather than empty positivity.

https://taaft.notion.site/Gratitude-Practice-Designer-312ed82cbfd380fbabc1eef4f0bc5836

The AI Machine With 50 Million Brains - There's An AI For That, YouTube

Why single companies could deploy 50 million AI agents by late 2026. How these agents communicate 100x faster than humans by skipping language entirely. The wage collapse math: when digital workers can be copied infinitely, labor costs trend toward electricity prices. Why removing entry-level tasks breaks the ladder humans need to become experts. The Reddit experiment: AI scraped user histories, crafted personalized arguments, and changed opinions 18% of the time.

https://www.youtube.com/watch?v=Q5FvShPlLVY

The greatest risk of AI in higher education isn’t cheating – it’s the erosion of learning itself - the Conversation

Universities are adopting AI across many areas of institutional life. Some uses are largely invisible, like systems that help allocate resources, flag “at-risk” students, optimize course scheduling or automate routine administrative decisions. Other uses are more noticeable. Students use AI tools to summarize and study, instructors use them to build assignments and syllabuses and researchers use them to write code, scan literature and compress hours of tedious work into minutes. People may use AI to cheat or skip out on work assignments. But the many uses of AI in higher education, and the changes they portend, beg a much deeper question: As machines become more capable of doing the labor of research and learning, what happens to higher education? What purpose does the university serve?

https://theconversation.com/the-greatest-risk-of-ai-in-higher-education-isnt-cheating-its-the-erosion-of-learning-itself-270243

The Committed Innovator: Keeping up with AI and deploying it as it evolves - Nathaniel Whittmore, McKinsey

Adopting AI remains a challenge for most, and the fact that the world of AI is advancing so incredibly rapidly doesn’t help. Nathaniel Whittemore aims to make both adoption and keeping up with change a lot easier. He is the founder and CEO of Superintelligent, the AI enablement platform offering interactive tutorials that provide practical AI education and clear paths to business solutions. He is also the host of the podcast, AI Daily Brief, which seeks to keep its listeners up to date with AI as it evolves. In this episode of The Committed Innovator, McKinsey innovation leader and senior partner Erik Roth speaks with Whittemore about the intersection between Whittemore’s two companies, the challenges of adopting and scaling AI for enterprises, and what he sees in store for AI in 2026. 

https://www.mckinsey.com/capabilities/strategy-and-corporate-finance/our-insights/the-committed-innovator-keeping-up-with-ai-and-deploying-it-as-it-evolves

Sam Altman's Bombshell - Peter H. Diamandis, Moonshots

In this video, Peter Diamandis discusses a provocative statement by Sam Altman, who suggested that AGI has essentially been achieved in a "spiritual" rather than literal sense. Diamandis highlights that Altman now views AGI as an engineering challenge centered on iterative improvements rather than a research problem requiring a single massive breakthrough. The video suggests that this shift in narrative is strategically timed, as Altman needs to secure $100 billion in funding and maintain public market excitement for upcoming data center investments and potential IPO filings. Diamandis concludes that the focus on being "this close" to AGI is a crucial component of the financial and technical momentum needed to sustain the industry's rapid growth. (summary provided by Gemini 3 mode fast)

https://www.youtube.com/shorts/GG3yCu2LV74

AI Inescapable in Higher Education? - Maddie Rodriguez, the Spectator

 Artificial intelligence (AI) is increasingly becoming a day-to-day norm. Nearly 90% of college students use AI for academic purposes. A third of them use it daily, and another 24% use AI several times a week. According to the 2025 AI in Education Trends Report, AI is being used as a learning partner, but what does that mean? Professors and students alike are worried that AI is being used as a shortcut, that it threatens the ability to think critically, and that it is contributing to a decline in writing quality. Questions about how to integrate it ethically, if at all, are increasing as its use grows. In July 2024, the Technology Ethics Initiative (TEI) at Seattle University was created to encourage interdisciplinary collaboration on campus between Artificial Intelligence (AI) and academic learning. Its main goal is to bring together research related to technology ethics and technology policy.

https://seattlespectator.com/2026/02/18/is-ai-inescapable-in-higher-education/

Students question the value of higher education amid AI - Naomi Martin, the Ithican

Ithaca College’s statement on AI use includes the desire to prepare students for an AI-driven future and workforce, which is already here. Large companies like Pinterest and Amazon have made moves to pivot toward AI resources, with Pinterest laying off under 15% of its workers and Amazon cutting 14,000 corporate jobs. The influence that AI has on the job market varies by industry. Junior Caroline Guzman — an advertising, public relations, and marketing communications major — said that within her classes, AI is emphasized as a necessary tool in the job market. “In the workplace, you are going to use AI,” Guzman said. “Multiple professors have told me if you are not using it, you are falling behind in strategic communications.” Guzman said the AI applications that are used in APRMC courses include tools like ChatGPT and Google Gemini. Many of the tools that APRMC has historically used, like Canva, now have AI incorporated in their foundation. 

https://theithacan.org/66431/news/students-question-the-value-of-higher-education-amid-ai/

Here are 3 ways to mine AI for insights, and do it safely - Alcino Donadel, University Business

“We try to educate all of our staff to ensure that whatever they’re using is approved and screened by our central IT teams so that we know that it’s guarded and protected,” says Pablo Ortiz, provost of Barry. College administrators interviewed by University Business revealed how they use AI without compromising their data, integrity or institution’s mission. “We cannot critically govern AI without actively using it,” says Bogdan Daraban, vice provost of Innovation and Technology Education at Barry.

https://universitybusiness.com/here-are-3-ways-to-mine-ai-for-insights-and-do-it-safely/

Professional Development Planner - TAAFT

This prompt turns AI into a Professional Development Planner who helps you create strategic skill-building and growth plans. The system assesses your current capabilities against your career goals and creates actionable development plans that fit your life circumstances.

This planner helps you invest in your growth strategically rather than haphazardly.

### **Example User Prompts**

1. “I want to grow professionally but I’m not sure what skills to develop. Help me create a strategic development plan.”

2. “I need to upskill for where I want to take my career. Help me figure out what to learn and how to learn it.”

3. “I keep starting courses and certifications but never finishing them. Help me create a realistic professional development plan.”

https://taaft.notion.site/Professional-Development-Planner-30ced82cbfd380448282f48a40dded4f

Google adds music-generation capabilities to the Gemini app - Ivan Mehta, TechCrunch

Google announced on Wednesday that it’s adding a music-generation feature to the Gemini app. The company is using DeepMind’s Lyria 3 music-generation model to power the feature, which is still in beta.To use the feature, you’ll describe the song you want to create, and the app will generate a track along  with lyrics. For instance, you could ask Gemini to create a “comical R&B slow jam about a sock finding its match,” and the app will generate a 30-second track along with cover art made by Nano Banana. Google said that you can even upload a photo or a video, and the AI-powered tool will create a song to match the mood of the media file.

https://techcrunch.com/2026/02/18/google-adds-music-generation-capabilities-to-the-gemini-app/