L&D Global Sentiment Survey 2026 — from linkedin.com by Donald H. Taylor
Something Big Is Happening — from shumer.dev by Matt Shumer; see below from the BIG Questions Institute, where I got this article from
I’ve spent six years building an AI startup and investing in the space. I live in this world. And I’m writing this for the people in my life who don’t… my family, my friends, the people I care about who keep asking me “so what’s the deal with AI?” and getting an answer that doesn’t do justice to what’s actually happening. I keep giving them the polite version. The cocktail-party version. Because the honest version sounds like I’ve lost my mind. And for a while, I told myself that was a good enough reason to keep what’s truly happening to myself. But the gap between what I’ve been saying and what is actually happening has gotten far too big. The people I care about deserve to hear what is coming, even if it sounds crazy.
…
They’ve now done it. And they’re moving on to everything else.
The experience that tech workers have had over the past year, of watching AI go from “helpful tool” to “does my job better than I do”, is the experience everyone else is about to have. Law, finance, medicine, accounting, consulting, writing, design, analysis, customer service. Not in ten years. The people building these systems say one to five years. Some say less. And given what I’ve seen in just the last couple of months, I think “less” is more likely.
…
The models available today are unrecognizable from what existed even six months ago. The debate about whether AI is “really getting better” or “hitting a wall” — which has been going on for over a year — is over. It’s done. Anyone still making that argument either hasn’t used the current models, has an incentive to downplay what’s happening, or is evaluating based on an experience from 2024 that is no longer relevant. I don’t say that to be dismissive. I say it because the gap between public perception and current reality is now enormous, and that gap is dangerous… because it’s preventing people from preparing.
What “Something Big Is Happening” Means for Schools — from/by the BIG Questions Institute
Matt Shumer’s newsletter post Something Big is Happening has been read over 80 million times within the week when it was published, on February 9.
…
Still, it’s worth reading Shumer’s post. Given the claims and warnings in Something Big Is Happening (and countless other articles), how would you truly, honestly respond to these questions:
- What will the purpose of school be in 5 years?
- What are we doing now that we must leave behind right away?
- What can we leave behind gradually?
- What does rigor look like in this AI-powered world?
- Does our strategy look like making adjustments at the margins or are we preparing our students for a fundamental shift?
- What is our definition of success? How do the the implications of AI and jobs (and other important forces, from geopolitical shifts and climate change, to mental health needs and shifting generational values) impact the outcomes we prioritize? What is the story of success we want to pass on to our students and wider community?
Funding cuts, shifts in aid could make college harder to afford for low-income families — from hechingerreport.org by Jon Marcus
Advocates worry that the promise of a higher education will soon drift further out of reach
Now TRIO has come under the scrutiny of the Trump administration, which has already moved to cancel TRIO funding for some participating colleges (though this was paused in January by a federal court and remains in litigation) and proposes to eliminate it altogether; letters from the Department of Education to those colleges show the money was cut off because the programs were considered part of diversity, equity and inclusion, or DEI, efforts.
At a time of rising income inequality, it’s one of several developments advocates worry are converging to make things even harder for lower-income Americans who want to go to and get through college — a group that already faces considerable challenges, and whose proportion of enrollment has been falling for a decade and a half.
The Campus AI Crisis — by Jeffrey Selingo; via Ryan Craig
Young graduates can’t find jobs. Colleges know they have to do something. But what?
Only now are colleges realizing that the implications of AI are much greater and are already outrunning their institutional ability to respond. As schools struggle to update their curricula and classroom policies, they also confront a deeper problem: the suddenly enormous gap between what they say a degree is for and what the labor market now demands. In that mismatch, students are left to absorb the risk. Alina McMahon and millions of other Gen-Zers like her are caught in a muddled in-between moment: colleges only just beginning to think about how to adapt and redefine their mission in the post-AI world, and a job market that’s changing much, much faster.
“Colleges and universities face an existential issue before them,” said Ryan Craig, author of Apprentice Nation and managing director of a firm that invests in new educational models. “They need to figure out how to integrate relevant, in-field, and hopefully paid work experience for every student, and hopefully multiple experiences before they graduate.”
Amid AI and Labor Market Changes, Companies Look to Grow Their Own Skilled Workers — from workshift.org by Colleen Connolly
The explosion of artificial intelligence, combined with slowing growth in the labor force, has many companies reconsidering how they hire and develop workers. Where they once relied on colleges and universities for training, a growing number of companies are now looking in-house.
Investment in developing employees and would-be hires is becoming a key differentiator for companies, according to a new report from the Learning Society, a collaborative effort led out of the Stanford Center on Longevity. And that’s true even as AI adoption grows.
The Big Idea: The report authors interviewed 15 human resources executives from major firms, which ranged in size from Hubbell, an electric and utility product manufacturer with about 17K employees, to Walmart with more than 2M employees. The authors asked about four topics: the impact of AI and technology on work, skill building and talent development, supporting workers over longer working lives, and new partnerships between businesses and higher education.
Jim VandeHei’s note to his kids: Blunt AI talk — from axios.com by CEO Jim VandeHei
Axios CEO Jim VandeHei wrote this note to his wife, Autumn, and their three kids. She suggested sharing it more broadly since so many families are wrestling with how to think and talk about AI. So here it is …
Dear Family:
I want to put to words what I’m hearing, seeing, thinking and writing about AI.
- Simply put, I’m now certain it will upend your work and life in ways more profound than the internet or possibly electricity. This will hit in months, not years.
- The changes will be fast, wide, radical, disorienting and scary. No one will avoid its reach.
I’m not trying to frighten you. And I know your opinions range from wonderment to worry. That’s natural and OK. Our species isn’t wired for change of this speed or scale.
- My conversations with the CEOs and builders of these LLMs, as well as my own deep experimentation with AI, have shaken and stirred me in ways I never imagined.
All of you must figure out how to master AI for any specific job or internship you hold or take. You’d be jeopardizing your future careers by not figuring out how to use AI to amplify and improve your work. You’d be wise to replace social media scrolling with LLM testing.
Be the very best at using AI for your gig.
Also see:
Also relevant/see:
Farewell to Traditional Universities | What AI Has in Store for Education
Premiered Jan 16, 2026
Description:
What if the biggest change in education isn’t a new app… but the end of the university monopoly on credibility?
Jensen Huang has framed AI as a platform shift—an industrial revolution that turns intelligence into infrastructure. And when intelligence becomes cheap, personal, and always available, education stops being a place you go… and becomes a system that follows you. The question isn’t whether universities will disappear. The question is whether the old model—high cost, slow updates, one-size-fits-all—can survive a world where every student can have a private tutor, a lab partner, and a curriculum designer on demand.
This video explores what AI has in store for education—and why traditional universities may need to reinvent themselves fast.
In this video you’ll discover:
- How AI tutors could deliver personalized learning at scale
- Why credentials may shift from “degrees” to proof-of-skill portfolios
- What happens when the “middle” of studying becomes automated
- How universities could evolve: research hubs, networks, and high-trust credentialing
- The risks: cheating, dependency, bias, and widening inequality
- The 3 skills that become priceless when information is everywhere: judgment, curiosity, and responsibility
From DSC:
There appears to be another, similar video, but with a different date and length of the video. So I’m including this other recording as well here:
The End of Universities as We Know Them: What AI Is Bringing
Premiered Jan 27, 2026
What if universities don’t “disappear”… but lose their monopoly on learning, credentials, and opportunity?
AI is turning education into something radically different: personal, instant, adaptive, and always available. When every student can have a 24/7 tutor, a writing coach, a coding partner, and a study plan designed specifically for them, the old model—one professor, one curriculum, one pace for everyone—starts to look outdated. And the biggest disruption isn’t the classroom. It’s the credential. Because in an AI world, proof of skill can become more valuable than a piece of paper.
This video explores the end of universities as we know them: what AI is bringing, what will break, what will survive, and what replaces the traditional path.
In this video you’ll discover:
- Why AI tutoring could outperform one-size-fits-all lectures
- How “degrees” may shift into skill proof: portfolios, projects, and verified competency
- What happens when the “middle” of studying becomes automated
- How universities may evolve: research hubs, networks, high-trust credentialing
- The dark side: cheating, dependency, inequality, and biased evaluation
- The new advantage: judgment, creativity, and responsibility in a world of instant answers
Planning Your L&D Hiring for Next Year? Start With Skills, Salary Ranges, and Realistic Expectations — from teamedforlearning.com
Salary transparency laws across many states now require organizations to publish compensation ranges. While this can feel like a burden, the truth is: transparency can dramatically speed up hiring. Candidates self-select, mismatches decrease, and teams save time.
But transparency only works when the salary range itself is grounded in reality. And that’s where many organizations struggle.
Posting a salary range is the easy part.
Determining a fair, defensible range is where the work happens.
Also from Teamed for Learning, see:
Hiring Trends For 2026
The learning industry shifts fast, and this year is no exception. Here’s what’s shaping the hiring landscape right now:
- AI is now a core skill, not a bonus
- Project management is showing up in every job description
- Generalists with business awareness are beating tool-heavy candidates
- Universities and edtech companies are speeding up content refresh cycles
- Hiring budgets are tight – but expectations aren’t easing up
How to Design with AI in 2026 (based on the most compelling research published in 2025). — from linkedin.com by Dr. Philippa Hardman
What’s Happening to Jobs for New Grads — from linkedin.com by Jeff Selingo
No matter where you go to college, the job market math for new graduates is grim right now, as I write in a new article out yesterday in New York magazine.
There were 15% fewer entry-level and internship job postings in 2025 than the year before, according to Handshake, a job-search platform popular with college students; meanwhile, applications per posting rose 26%.
How much AI is to blame for the fragile entry-level job market is unclear. Several research studies show AI is hitting young college-educated workers disproportionately, but broader economic forces are part of the story, too.
As Christine Y. Cruzvergara, Handshake’s chief education strategy officer, told me, AI isn’t “taking” jobs so much as employers are “choosing” to replace parts of jobs with automation rather than redesign roles around workers. “They’re replacing people instead of enabling their workforce,” she said.
Today’s graduates are stuck in an in-between moment. Many started college before AI mattered and graduated into a labor market reshaped almost overnight, where entry-level roles are disappearing faster than students can adapt.
The following resources were mentioned in Paul Fain’s posting entitled, “High Demand, Low Wage“ — from the-job.beehiiv.com by Paul Fain
- AI And Automation Will Take 6% Of US Jobs By 2030 — from forrester.com by J.P. Gownder
- Measuring US workers’ capacity to adapt to AI-driven job displacement — from brookings.edu by Sam Manning, Tomás Aguirre, Mark Muro, and Shriya Methkupally
- Anthropic Economic Index report: economic primitives — from anthropic.com
Reflecting on Education in 2025 — from by Dr. Rachelle Dené Poth
Educators have become more discerning about initiatives to invest in, tools to explore, and expectations to set. The question “Can we do this?” shifted to “Should we do this? And “Why?” Which then led to the “How” part.
This shift showed up in conversations around curriculum, assessment, technology use, and student well-being. Schools began reducing or being more selective rather than layering, which helped educators to adjust better to change. Leaders focused more on coherence instead of compliance. And in some conversations I had or articles I read, I noticed respectful pushback on practices that added complexity without improving learning.
I think this is why the recalibration mattered.
AI has become less about “cheating” and more about helping students and others learn how to think, evaluate, and create responsibly in an AI-infused world.
…
Educators have become more discerning about initiatives to invest in, tools to explore, and expectations to set. The question “Can we do this?” shifted to “Should we do this? And “Why?” Which then led to the “How” part.






