corporate / business world

The Most Obvious Fix in Education — from michelleweise.substack.com by Michelle Weise
The No-Brainer Nobody’s Doing

We know what better learning looks like. We have known for a while.

Real problems. Real roles. Built-in conflict. Conditions that simulate the messiness of actual work. Reflection that asks not just what did you do but who are you becoming? These are not radical ideas. They are not untested theories. The research is clear, employers are asking for exactly this, and students consistently report that the closest they got to real work was the most valuable part of their education.

So why aren’t universities doing more of it?

That is the question worth sitting with — because the gap between what we know and what we do is not a knowledge problem. It is a design problem, an incentive problem, and if we’re being candid, a courage problem.

Because in the meantime, learners are paying the price. They graduate credentialed but untested. They enter labor markets that want proof of performance and experience, not transcripts. They lack the networks, the exposure, and the scar tissue that comes from navigating real work.

Also relevant, see:

The Apprenticeship (R)Evolution — from insidehighered.com by Sara Weissman and Colleen Flaherty
Once synonymous with hard hats and tool belts, apprenticeships are branching into health care, artificial intelligence, business services, advanced manufacturing and more.

Such programs also challenge stereotypes about apprenticeships—namely that they’re only in construction, an earn-and-learn catchall for traditionally apprenticeable occupations such as bricklayer, plumber, carpenter and electrician. In integrating robotics, automation, machining and logistics, the manufacturing development program is a bridge to understanding how apprenticeships are evolving to support some of the nation’s fastest-growing industries. These include advanced manufacturing, but also health care, information technology and other business services.

Building a Thriving Organizational Culture: Strategies for Succes [Caplette]

On 03/30/2026, in collaboration, communications, corporate / business world, culture, ideas, morals/values, organizational change, workplace, by Daniel Christian

Building a Thriving Organizational Culture: Strategies for Success — from learningguild.com by Genevieve Caplette

Characteristics of Strong Culture
Although each organization’s culture is unique, strong cultures share several common traits. They communicate openly, maintain trust across all levels, and reinforce their values through daily actions rather than slogans. Recognition is frequent and meaningful. Collaboration is encouraged over competition, and employees feel psychologically safe expressing ideas or concerns. These cultures evolve as the organization grows, ensuring alignment between stated values and lived behavior.
…
How to Strengthen Culture
A thriving environment is built through everyday habits: transparent communication, active listening, constructive feedback, and ensuring employees have the resources to grow. Embedding values into hiring, onboarding, recognition, and decision-making reinforces culture at every level. Sustaining culture requires ongoing attention—listening regularly, adjusting to evolving needs, and ensuring leaders continue to model the behaviors the organization expects.

Meta, YouTube found negligent in landmark social media addiction trial — from by Ian Duncan
A Los Angeles jury awarded $3 million in compensation to a young woman who alleged she had become addicted to the platforms as a child.

A Los Angeles jury found social media giant Meta and video platform YouTube negligent in a landmark trial, awarding $3 million in compensation to a young woman who alleged she had become addicted to the companies’ platforms as a child.

The verdict came at the end of a month-long trial that featured testimony by Facebook founder Mark Zuckerberg and a day after a jury in New Mexico ordered Meta to pay $375 million in penalties for endangering children. The twin verdicts are signs that legal protections which for decades made tech companies seem almost impervious are beginning to crack, as lawyers accuse the platforms of putting addictive or otherwise harmful features into their platforms.

With the armor of Silicon Valley companies fractured, they will now have to size up their appetite for future courtroom battles. There are thousands more lawsuits waiting to be heard, with young internet users, parents, school districts and state attorneys general all seeking to hold the industry accountable.

Is the eLearning authoring tool dead? [Milloway & Slade]

On 03/24/2026, in 21st century, 24x7x365 access, adult learning, Artificial Intelligence/Agents/LLMs/and Related, communities of practice, content development, aggregation, repositories, corporate / business world, human-computer interaction (HCI), ideas, innovation, instructional design, Learning Experience Design, platforms, productivity / tips and tricks, programming, tools, trends, vendors, by Daniel Christian

Is the eLearning authoring tool dead? — from linkedin.com by Melissa Milloway & Tim Slade

…which links to the video below:

Are we not shooting ourselves in the foot with AI and recent college graduates? [Christian]

On 03/24/2026, in 21st century, adjunct faculty, apprenticeships, Artificial Intelligence/Agents/LLMs/and Related, business, career development, change, changing business models, colleges, community colleges, corporate / business world, dangers of the status quo, Daniel S. Christian, emerging technologies, experimentation, faculty/staff, game-changing environment, higher education, human-computer interaction (HCI), intelligent systems, internships, learning ecosystem, liberal arts, marketplaces, parents/guardians, productivity / tips and tricks, reinvent, skills, society, sociology, strategy, student-related, teaching & learning, technologies for your home, tools, trends, United States, universities, vendors, vocational / trades, workplace, youth, by Daniel Christian

From DSC:
The types of postings/articles (such as the one below) make me ask, are we not shooting ourselves in the foot with AI and recent college graduates? If the bottom rungs continue to disappear, internships and apprenticeships can only go so far. There aren’t enough of them — especially valuable ones. So as this article points out, there will be threats to the long-term health of our talent pipelines unless we can take steps to thwart those impacts — and to do so fairly soon.

To me…vocational training and jobs are looking better all the time — i.e., plumbers, carpenters, electricians, mechanics, and more.

Can New Graduates Compete With AI? — from builtin.combyRichard Johnson
The increasing adoption of AI automation is compressing early-career jobs. How should new graduates get a foothold in the economy now?

Summary: AI is hollowing out entry-level roles by automating routine tasks, eliminating a rung on the career ladder. New graduates face intense competition and a rising skill floor. While firms gain short-term productivity, they risk a long-term talent shortage by eliminating junior training grounds.

Conversations about AI have covered all grounds: hype, fear and slop. But while some roll their eyes at yet another automation headline, soon?to?be graduates are watching the labor market with a very different level of urgency. They’re entering a world where the old paradox of needing experience to get experience is colliding with a new reality: AI is absorbing the standardized, routine tasks that once defined entry?level work. The result isn’t just a shift in job descriptions or skill-requirements, but rather a structural reshaping of the career pipeline.

Entry-level workers face an outsized disruption to their long-term career trajectories. They have the least buffer to adapt given their lack of relevant job market experience and heightened financial pressure to secure a job quickly with the student-debt repayment periods for recent graduates looming.

Momentum early in one’s career matters, and the first job on a resume shapes future compensation bands and opportunities. It also serves as a signal for perceived specialization or, at minimum, interest. Losing that foothold has compounding effects to one’s career ladder.

Also relevant/see:

New Anthropic Institute to Study Risks and Economic Effects of Advanced AI — from campustechnology.com by John K. Waters

Key Takeaways

Anthropic has launched the Anthropic Institute, a new research effort focused on the biggest societal challenges posed by more powerful AI systems.
The institute will study how advanced AI could affect the economy, the legal system, public safety, and broader social outcomes.
Anthropic co-founder Jack Clark will lead the institute in a new role as the company’s head of public benefit.
The new unit brings together Anthropic’s existing red-teaming, societal impacts, and economic research work, while adding new hires and new research areas.

“Agentic AI isn’t coming for training programs. It’s coming for the trainers who can’t adapt.” [Martin] + other items re: AI in our learning ecosystems

On 03/23/2026, in Artificial Intelligence/Agents/LLMs/and Related, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, ethics, experimentation, future, game-changing environment, human-computer interaction (HCI), innovation, instructional design, intelligent systems, intelligent tutoring, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, morals/values, platforms, productivity / tips and tricks, tools, training / L&D, UK, universities, vendors, workplace, by Daniel Christian

Here is Chris Martin’s posting on LinkedIn.com:

Here is Dominik Mate Kovacs’ posting on LinkedIn.com:

The AI ‘hivemind’: Why so many student essays sound alike — from hechingerreport.org by Jill Barshay
A study of more than 70 large language models found similar answers to brainstorming and creative writing prompts

The answers were frequently indistinguishable across different models by different companies that have different architectures and use different training data. The metaphors, imagery, word choices, sentence structures — even punctuation — often converged. Jiang’s team called this phenomenon “inter-model homogeneity” and quantified the overlaps and similarities. To drive the point home, Jiang titled her paper, the “Artificial Hivemind.” The study won a best paper award at the annual conference on Neural Information Processing Systems in December 2025, one of the premier gatherings for AI research.

AI Has No Moral Compass. Do You? — from michelleweise.substack.com by Michelle Weise & Dana Walsh
Why the Age of AI Demands We Take Character Formation Seriously

Here’s something to chew on:

Anthropic, the company behind Claude — a chatbot used by 30 million users per month — has exactly one person (whom we know of) working on AI ethics. One. A young Scottish philosopher is doing the vital work of training a large language model to discern right from wrong.

I don’t say this to shame Anthropic. In fact, Anthropic appears to be the only company (that we know of) being explicit about the moral foundations and reasoning of its chatbot. Hundreds of millions of users worldwide are leveraging tools from other LLMs that do not appear to have an explicit moral compass being cultivated from within.

I raise this because this is yet another example of where we are: extraordinary technical power advancing without an equally strong moral infrastructure to support it.

Why do we keep producing people who are skilled but not wise?

Check out some of the features an AI-powered LMS provides you with!

On 03/23/2026, in 21st century, 24x7x365 access, adult learning, analytics, Artificial Intelligence/Agents/LLMs/and Related, assessment, business, career development, cloud-based computing / apps / other cloud-related, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, educational games / serious games, emerging technologies, ideas, innovation, instructional design, intelligent systems, intelligent tutoring, languages and translation, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, lifelong learning, platforms, skills, training / L&D, United States, workplace, by Daniel Christian

Here is Pradnya’s posting out on LinkedIn.com:

From DSC…note these excerpts from Pradnya’s posting:

I’m not manually assigning 400 people anymore ? They’re actually taking relevant courses now
Shows me the data ? Suggests courses to fix it ? I look like a strategic genius
Completion rates up 34% ? Nobody’s “stuck” anymore

Pradnya links to a page out at ParadisoSolutions.com. Check out some of the functionality this AI-powered system provides:

Also from Pradnya, see this posting:

Law Firm AI Adoption: So Many Choices — from abovethelaw.com by Stephen Embry
Firms need to recognize reality, define what their legal professionals need, and then determine how to adopt and govern the use of AI tools.

It’s tough to be a law firm managing partner in the age of AI. So many choices, so little time. It’s like the proverbial kid in the candy store who has so many choices that they either can’t pick out anything or reach for too much. We see evidence of the first option in 8am’s recent outstanding Legal Industry Report, authored by Niki Black.

8am’s Legal Industry Report
One thing that stood out in the report was the discrepancy between use of AI by individual legal professionals and what firms are doing when it comes to AI adoption and guidance. Almost 75% of those who responded said they were using general purpose AI tools like ChatGPT and Claude for work purposes. That’s pretty significant.

Legalweek: It’s time to re-engineer how legal work is delivered — from legaltechnology.com by Caroline Hill

AI for good
While focusing on the risks of AI going wrong, it is only fair to mention the conversations I had around using AI for good. Two in particular stand out.

The first is the news from Everlaw that its Everlaw for Good Program has, over the past year, supported more than 675 active cases across 235 organisations, and expanded its support to a growing network of non-profit organisations.

The program extends Everlaw’s technology to organisations working to advance access to justice. In a recent survey by Everlaw, 88% of legal aid professionals said they are optimistic about AI’s potential to help narrow the justice gap.

“Mission-driven organizations are increasingly handling complex investigations and litigation with limited resources,” said Joanne Sprague, head of Everlaw for Good. “Expanding access to powerful, easy-to-use technology helps level the playing field so these teams can uncover critical evidence, take on more complex matters, and yield stronger results for the communities they serve.”

LawNext on Location: Visiting Everlaw’s Headquarters For A Conversation with AJ Shankar, Founder and CEO — from lawnext.com by Bob Ambrogi

The bulk of our conversation focuses on generative AI, and how Everlaw has approached it differently than much of the market. Rather than bolting on a chatbot, AJ says, Everlaw embedded AI deliberately throughout the platform — document summarization, coding suggestions, deposition analysis, fact extraction — always grounding responses in the actual documents at hand and citing sources so users can verify the work. The December launch of Deep Dive, which lets litigators pose a question and get a synthesized, cited answer drawn from an entire document corpus in about a minute, is the feature AJ calls a “new era” for discovery — one he genuinely believes represents a categorical shift.

“The Future of College in an AI World” [Selingo] + other items re: AI in our learning ecosystems

On 03/18/2026, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, bots, colleges, communities of practice, community colleges, corporate / business world, digital learning, emerging technologies, experimentation, faculty/staff, future, future of higher education, game-changing environment, generational differences, Google, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, K-12 related, leadership, learning ecosystem, liberal arts, Michigan, multimedia, music, Open AI, student-related, teachers, teaching & learning, tools, United States, universities, vendors, by Daniel Christian

The Future of College in an AI World — from linkedin.com by Jeff Selingo
In today’s issue: The tension over AI in higher ed; application inflation continues and testing is back; what’s the future of the original classroom technology, the learning management system.

Hundreds of higher ed and industry leaders gathered Tuesday for a summit
on AI and the future of learning at the University of Michigan.
.

Conversations like the one we had at Michigan this week are necessary, but the action rarely matches the ambition.

We say the humanities are the operating system of an AI world, yet students and parents don’t believe it. They’re voting with their feet toward STEM, business, and narrowly tailored majors they believe will lead to a job.
Meanwhile, colleges are quietly eliminating the very humanities degrees the panelists were championing, employers are cutting the entry rungs off the career ladder for new graduates, and as Podium Education co-founder Christopher Parrish reminded us yesterday, there’s a yawning gap between demand for experience and the internships that actually exist.

AI Music Generators: Teaching With These Catchy AI Tools — from techlearning.com by Erik Ofgang
AI music generators are getting better and better, and there are more applications in the classroom as a result.

Are All AI Music Generators More Or Less The Same?
No. After experimenting with a few various free ones, I found a wide range of quality with the same prompts.

Gemini is the only one I’d currently recommend. It’s user-friendly but limited and only creates 30-second clips. Other music generators could potentially outperform Gemini with prompt adjustments. The ones I tried did better with the instrumentals but struggled more with the lyrics, and that kind of defeated the purpose of the tool for me.

ChatDOC: Teaching With The AI Summarizing Tool — from techlearning.com by Erik Ofgang
ChatDOC lets users turn any PDF into an AI chatbot that can summarize the text, answer questions, and generate quizzes.

What Is ChatDOC?
ChatDOC is an AI designed to help users interact with PDFs of various types, be it research papers, short stories, or chapters from larger works. Users upload a PDF and then have the opportunity to “chat” with that document, that is speak with a chatbot that bases its answers off of the uploaded text.

ChatDOC can perform tasks such as provide a short summary, search for specific terms, explain the overall theme if it’s a work of literature, or unpack the science in a research paper.

Other similar tools are out there, but ChatDOC is definitely one of the better PDF readers I’ve used. Its free version is quick and easy-to-use, and delivers on its promise of providing an AI that can discuss a given document with users and even quiz them on it.

From AI access to workforce readiness — from chieflearningofficer.com by Johnny Hamilton, Amy Stratbucker, & Brad Bigelow
Is your workforce using the right tool with an outdated mindset and playbook? Why old playbooks fall short — and what learning leaders must do next.

The leadership opportunity
Organizations do not need to predict every future AI capability. They need systems that allow people to explore with curiosity, practice safely, reflect deeply and adapt continuously — starting with what they already have and extending as capabilities evolve.

For CLOs, this is a moment to lead from the center of change — designing workforce readiness that keeps pace with accelerating technology while making work more rewarding for employees and more valuable for the organization. That is how AI moves from the promise of transformation to demonstrated readiness and, ultimately, from promise to performance.

Addendums on 3/19/26:
How to Build Practice-Based Learning Activities with AI — from drphilippahardman.substack.com by Dr Philippa Hardman
Four evidence-based methods for designing, building & deploying active learning activities with your favourite LLM

Most L&D teams are using AI to make content faster. The real opportunity is using it as a practice engine.

The Synthesia 2026 AI in L&D Report f2026 AI in L&D Report found that the fastest-growing areas of planned AI adoption aren’t in content creation — they’re in assessments and simulations (36%), adaptive pathways (33%), and AI tutors (29%). In other words: L&D teams are starting to realise that the most powerful use of AI isn’t producing learning materials. It’s creating environments where learners actually practise.

And you can build these right now — no dev team, no custom platform, no code. Each method below includes a prompt you can paste into your preferred AI tool to generate a working interactive prototype: a self-contained practice activity with a briefing screen, a live AI interaction, and a debrief — all running in the browser, ready to share with stakeholders or deploy to learners.

OpenAI Adds Interactive Math and Science Learning Tools to ChatGPT — from campustechnology.com by Rhea Kelly

Key Takeaways

ChatGPT adds interactive learning tools: OpenAI introduced interactive math and science visualizations that allow users to explore formulas, variables, and relationships in real time.
The tool currently covers over 70 core math and science topics and is aimed initially at high school and college-level learners.
Users can adjust variables, manipulate formulas, and immediately see how changes affect graphs and outcomes.

How to Get Consistent, On-Brand Course Images from Any AI Image Tool — from drphilippahardman.substack.com by Dr. Philippa Hardman
A 3-step workflow that works every time — whatever AI tool you’re using

Most designers try to describe their way to an image. That’s the wrong approach. The goal is to show the tool the world it should be working in, then give it the minimum it needs to place your subject inside that world.

Every long, over-specified prompt is a sign that your visual inputs aren’t doing enough work.

The fix is an 3-step process which gives you superpowers in AI image generation…

How AI Could Transform, or Replace, the LMS — from futureupodcast.com by Jeff Selingo, Michael Horn, and Matthew Pittinsky

Tuesday, March 10, 2026 – For 30 years now, colleges have relied on the Learning Management System, or LMS, as a key portal for professors and students to teach and learn. It’s a tool that has helped colleges adapt to online learning and bring digital tools to classroom teaching. But generative AI seems poised to disrupt the LMS. And it’s unclear whether the LMS will evolve—or be replaced altogether. For this episode, Jeff and Michael talk with a pioneer of the technology, Matthew Pittinsky, about the lessons of past moments of tech disruption like the smartphone and cloud computing and about what could be different this time. This episode is made with support from Ascendium Education Group.

Gemini, Explained — from wondertools.substack.com by Jeremy Caplan
5 features worth your time — tested and compared

Google’s AI, Gemini, has quickly become one of the AI tools I rely on most. It builds dashboards and creates remarkable infographics. It spins out comprehensive research reports in minutes that would once have taken days to assemble.

It’s improving every month. On March 13, Google announced Ask Maps, so you can query Gemini about things like “Which nearby tennis courts are open with lights so I can play tonight?” On March 10, Gemini added new integrations to build, summarize, and analyze your Google Docs, Sheets, and Slides.

In today’s post below: catch up on the Gemini features worth your time, candid comparisons with other AI tools, and answers to the questions I hear most.

How we’re reimagining Maps with Gemini — from blog.google
Ask Maps answers your real-world questions with a conversation, and Immersive Navigation makes your route more intuitive.

Today, Google Maps is fundamentally changing what a map can do. By bringing together the world’s freshest map with our most capable Gemini models, we’re transforming exploration into a simple conversation and making driving more intuitive than ever with our biggest navigation upgrade in over a decade.

Ask anything about any place
We’re introducing Ask Maps, a new conversational experience that answers complex, real-world questions a map could never answer before. Now you can ask for things like, “My phone is dying — where can I charge it without having to wait in a long line for coffee?” or “Is there a public tennis court with lights on that I can play at tonight?” Previously, finding this information meant lots of research and sifting through reviews. But now, you can just tap the “Ask Maps” button and get your questions answered conversationally, with a customized map to help you visualize your options.

The Rungs of the Career Ladder We Removed [Weise]

On 03/10/2026, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, business, career development, change, changing business models, corporate / business world, emerging technologies, game-changing environment, higher education, new business models, United States, workplace, youth, by Daniel Christian

The Rungs of the Career Ladder We Removed — from by Dr. Michelle Weise
On the slow, quiet disappearance of learning HOW to work

There used to be a time when starting a job meant being a little lost. You sat in on meetings you didn’t run. You watched someone else handle the difficult client, draft the tricky email, navigate the room when the room shifted. You made your first draft of something, and someone returned it bleeding red ink. And somehow — through the mess and the margin notes — you learned.

That time is vanishing.

In just the first seven months of 2025, generative AI adoption was linked to thousands of job cuts. But the headline number misses the quieter, more consequential story: it’s not just fewer jobs. It’s the disappearance of the work that teaches you how to work.

So here’s the uncomfortable question: if genAI is absorbing the entry-level doing, where does that formation happen now?

We have to answer that. Not theoretically. Practically. Because the ladder hasn’t disappeared — but we’ve removed the bottom rungs. And no employer is going to drop a newly minted graduate into a mid-career role and hope they figure it out.

The Future of Learning Looks Like Workforce Infrastructure — from workshift.org by Bruno V. Manno

For years, “ed tech” was an umbrella term grouping schools, online platforms, courses, credentials, and software under one idea: technology applied to education. That shorthand made it easier for investors, policymakers, and institutions to talk about innovation without rethinking how learning fits into the economy. Today, it no longer explains what’s happening.

That’s the central insight of “The European Learning & Work Funding Report” by Brighteye Ventures, a research and advisory firm tracking investment at the intersection of learning, work, and productivity. The report’s seventh edition shows that learning is no longer funded primarily as education. It is increasingly funded as part of how work gets done.

Across Europe, and increasingly the U.S., capital is flowing not toward courses or credentials but toward systems that are closer to production, including hiring platforms, staffing firms, clinical decision tools, payroll systems, and compliance software. These are not educational products, though learning is embedded throughout them.

In these systems, learning is not the point. Outcomes are.

Build hybrid institutions that erase boundaries. Stop forcing learners to navigate disconnected systems. Create partnerships that blend K-12 schools, community colleges, training providers, and employers into one integrated system, so students move through one coherent system, not four separate bureaucracies.

“Teach Smarter with AI” [Caplan & Eaton] + other items re: AI in our learning ecosystems

On 03/08/2026, in 21st century, 24x7x365 access, adult learning, Artificial Intelligence/Agents/LLMs/and Related, bots, business, career development, cloud-based computing / apps / other cloud-related, colleges, communities of practice, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital learning, emerging technologies, experimentation, faculty/staff, Google, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, K-12 related, learning, learning agents, learning ecosystem, liberal arts, platforms, skills, teachers, teaching & learning, tools, training / L&D, United States, universities, vendors, by Daniel Christian

Teach Smarter with AI — from wondertools.substack.com by Jeremy Caplan and Lance Eaton
10 tested strategies from two educators who actually use them

I recently talked with Lance Eaton, Senior Associate Director of AI and Teaching & Learning at Northeastern University and writer of AI + Education = Simplified. We traded ideas about what’s actually working. We came up with 10 specific, practical ways anyone who teaches, coaches, or leads can put AI to work.

Watch the full conversation above, or read highlights below.

Beyond Audio Summaries: How to Use NotebookLM to *Actually* Design Better Learning — from drphilippahardman.substack.com by Dr. Philippa Hardman
Five methods to maximise the value of NotebookLM’s features

In practice, what makes NotebookLM different for learning designers is four things:

Answers grounded in your sources (with citations):
Source toggling:
Multi-format studio & multi-source summaries:
Persistent workspace:

…
5 Evidence-Based Methods NotebookLM Operationalises…

Shadow AI Isn’t a Threat: It’s a Signal — from campustechnology.com by Damien Eversmann
Unofficial AI use on campus reveals more about institutional gaps than misbehavior.

Key Takeaways

Shadow AI is widespread in higher education: Faculty, researchers, students, and staff are using AI tools outside official IT channels, including consumer platforms and public cloud services that may involve sensitive data.
Unauthorized AI use creates data, compliance, and cost risks: Consumer AI tools may store or reuse user data, while uncoordinated adoption drives redundant licenses, unpredictable cloud costs, and weaker security oversight.
Institutions are shifting from restriction to enablement: Some campuses are making approved paths easier by offering ready-to-use research environments, campus-managed AI tools, clear guidance on data and vendors, and streamlined approval processes.

How L&D Can Lead in the Age of AI Even If Your Company’s Not Ready — from learningguild.com

How to lead even when your company doesn’t allow AI
Even if your corporation isn’t ready for AI, you can still research tools personally to stay ahead of the curve, so when organizational restrictions lift, you are ready to use AI for learning right away. Here are some tools you can test at home if they’re restricted in your workplace:

Content generation – Start testing text-based tools to get a taste of how AI can accelerate content creation. Then take it to the next level by exploring tools that generate voices, music, and sound effects.
AI coaching tools – Have AI pose as a customer co-worker or customer to get a taste of what it’s like to use it as a conversation coach. Next, use the voice and video capabilities in an app like ChatGPT to explore how AI can coach someone through tasks.
In-the-flow learning assistants – Test turning documents into a conversational avatar and interacting with it to see how it feels. Then think about how the technology could potentially transform static content into dynamic learning experiences for employees.
Vibe-coded simulations – Experiment with this technology by creating a simple, fun game. Afterwards, brainstorm some ideas on how it could quickly create simulations for your learners in the future.

The Higher Ed Playbook for AI Affordability — from campustechnology.com by Jason Dunn-Potter

Key Takeaways

Affordable AI adoption focuses on evolving existing systems: Universities are embedding AI into current devices, workflows, and legacy systems rather than rebuilding infrastructure or investing in new data centers.
Edge AI reduces costs and improves access: Running AI models on local devices or networks lowers cloud processing costs, enhances security, and supports learning use cases such as tutoring, translation, transcription, and adaptive learning.
Enterprise integration and governance drive impact: Institutions are applying AI across admissions, advising, facilities, and research workflows, supported by shared resource hubs, data governance, AI literacy, and outcome-driven implementation.

Claude is quietly becoming the go-to AI tool for learning designers. Here’s a 101 guide. [Hardman]

On 03/03/2026, in Artificial Intelligence/Agents/LLMs/and Related, corporate / business world, corporate universities / corporate training, Europe, game-changing environment, human-computer interaction (HCI), ideas, instructional design, intelligent systems, learning ecosystem, Learning Experience Design, productivity / tips and tricks, tools, training / L&D, UK, vendors, by Daniel Christian

Claude is quietly becoming the go-to AI tool for learning designers. Here’s a 101 guide. — from Linkedin.com by Dr. Philippa Hardman

L&D Global Sentiment Survey 2026 [Taylor]

On 02/25/2026, in 21st century, 24x7x365 access, adult learning, Africa, analytics, Artificial Intelligence/Agents/LLMs/and Related, Asia, Augmented Reality (AR), Australia, bots, business, Canada, career development, change, changing business models, cloud-based computing / apps / other cloud-related, collaboration, communities of practice, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital learning, emerging technologies, experimentation, future, game-changing environment, generational differences, global / globalization, human-computer interaction (HCI), India, innovation, instructional design, intelligent systems, intelligent tutoring, learner profiles, learning agents, learning ecosystem, Learning Experience Design, lifelong learning, microlearning, personalized/customized learning, skills, social learning / networks, strategy, tools, training / L&D, trends, UK, United States, vendors, Virtual Reality (VR) / worlds / learning, workplace, XR - extended reality, by Daniel Christian

L&D Global Sentiment Survey 2026 — from linkedin.com by Donald H. Taylor

Learning Ecosystems

Building a Thriving Organizational Culture: Strategies for Succes [Caplette]

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