New study: 15 community college presidents on what it will take to lead higher ed’s next chapter — from eddesignlab.org

Community colleges are at a pivotal moment.

As learners, employers, and regional economies change, these institutions have an opportunity to lead the next evolution of higher education — if they can move beyond structures built for a different era.

In the Lab’s new study, Insights from 15 Community College Presidents on the Future of Learning in a New Economy, leaders share their perspectives on the opportunities and barriers facing the sector, as well as the institutional changes needed to help more learners access economic mobility.

Their insights validate Education Design Lab’s Future of Learning framework, which asks five essential design questions:

  1. How might we make skills and competencies visible?
  2. How might we create stackable pathways that credential skills along the way?
  3. How might we make learning universally flexible through multiple modalities?
  4. How might we guarantee applied learning opportunities for every learner?
  5. How might we ensure every learner has access to adequate support services?

 

 

Below are several items that were either mentioned by Matt Tower or I came across them via offshoots of items that he linked to:

Future Universities Alliance Names Inaugural Innovation Sandbox Cohort — from provost.duke.edu
Program incubated by Duke brings together higher education innovators from 23 countries for year-long peer exchange

The Future Universities Alliance has selected 49 institutions from 23 countries for the inaugural cohort of its Innovation Sandbox, a 12-month peer learning program for higher education leaders advancing ambitious, institution-level innovation.The cohort brings together founders of new universities, administrators and faculty leading high-stakes changes within established institutions, and leaders of proven models exploring how their innovations can travel to new contexts. Participants were chosen through a competitive process that drew applicants from around the world in its inaugural year.

A makeover for college: No gym, no meal plan and two years of work — from npr.org by Jon Marcus

An entirely new college is being planned here to change not only how higher education is delivered, but at what price. It also proposes to highlight ways the current business model no longer works, as evidenced by the 152 colleges and universities that have closed or merged since 2016, and the 442 others that a new projection says are at risk.

So deeply entrenched are the problems confronting higher education that a growing chorus of innovators says the easiest way to fix them is to begin again from scratch.

All undergraduates should get work-based learning, v-cs say — from timeshighereducation.com by Jack Grove. NOTE: this item is behind a paywall.
Bold plan to support graduate employment would require placements for 1.4 million students annually

 

The Disappearing Bottom Rung in L&D — from drphilippahardman.substack.com by Dr Philippa Hardman
Junior roles are rapidly disappearing from L&D. Here’s the data + my hypothesis about why it’s happening

TL;DR: the bottom rung of L&D isn’t just narrowing — it’s being automated. The humans who remain move up the ladder, and the profession re-forms around a new set of AI and domain specialisms.
…
Is AI responsible for reshaping knowledge work, including L&D? My hypothesis is a resounding YES, primarily because of what I see in L&D job ads in 2026…

…..


The AI Workflow Redesign Method: How the Top 6% of Users Get Real Returns from AI— from drphilippahardman.substack.com by Dr Philippa Hardman
A practical three-step method to redesign your workflow & get ~2X value from AI

One pattern I see emerging from that research is this: the people getting the most value from AI aren’t the ones using it most, or the ones with the most advanced technical skills: they’re the ones who redesigned their day to day workflows around AI’s capabilities.
…

How to Redesign a Workflow in Three Steps
In my bootcamp we use a task-mapping process that distils workflow redesign down to three steps: map the work, tag each task by the impact you want AI to have, then validate whether what you want is possible.

Three steps get you to a plan: two or three tasks worth building, each with a written standard. Turning that plan into a redesign takes two more moves, which I’ll cover after the steps. I’m flagging that now because the moves are the bit most people skip, and they’re where the redesign actually happens.

Here’s a how to for each step:

 

The U.S. debt tops a record-shattering $40 trillion. Yes, with a T. — from npr.org by Scott Horsley

The federal debt topped $40 trillion Wednesday, a new high-water mark for red ink that shows no sign of receding.

The news, reported by the Treasury Department in its daily financial update, comes just five months after the debt surpassed $39 trillion. The government continues to pile up debt at a rapid clip, as spending outstrips revenue by more than $2 trillion a year.

“Our current fiscal trajectory is plainly unsustainable, and that’s the best-case scenario,” said Margaret Spellings, president of the Bipartisan Policy Center. “Even in the rosiest scenarios, we’re speeding toward a cliff and refusing to turn the wheel.”


Also related, see:

Gross National Debt Reaches $40 Trillion — from crfb.org

And other warnings signs are flashing too, with debt held by the public recently exceeding the size of our economy, the deficit-to-GDP ratio running twice as high as where it should be, and interest costs exceeding our national defense budget.

 
 

The 2031 Crisis in Higher Education: a stark scenario — from bryanalexander.org by Bryan Alexander — with commentary on a posting by Matthew F. Wilson, Ph.D.

Today’s post is about a scenario for higher ed’s future.  It’s not from me, but created by one Matthew F. Wilson, director of Research Translation and AI Strategy at Baylor’s Institute for Global Human Flourishing.  “The 2031 Crisis in Higher Education” is a dark one, imagining an accelerating decline for American colleges and universities.
…
One key assumption of this scenario is that most colleges and universities will be unable to redesign themselves for the changing time.
…
All of that said, it’s a fascinating and daunting scenario.  It’s an interesting vision of my post-peak higher ed world.

A graphic from Matthew Wilson:


From DSC:
From what I can tell and have read, the things in the above graphic are already happening — and have been happening for some time now.

Also, I don’t think traditional institutions of higher education have the culture(s) it takes to change. So that part about colleges and U’s not being able to redesign themselves for the changing times could easily turn out to be the case.

 

New grads have to compete with AI for entry-level roles, hiring managers say — from hrdive.com by Lara Ewen
Nearly half of organizations now ask a senior worker plus AI to do the work of several entry-level grads, per a new report. 

Dive Brief:

  • Hiring managers in the U.S. are betting on artificial intelligence over new graduates, with 48% saying they would rather invest in AI tools than hire and train a recent college graduate, according to a Friday report from ResumeTemplates.com.
  • The job market does still have space for 2026 graduates, and 65% of hiring managers said they planned to hire the same number or more this year compared to last year, per the report. However, 23% said they expected to hire fewer 2026 grads this year or none at all, and 12% didn’t know how many they would hire.
  • Most hiring concerns centered around workplace skills rather than credentials. Nearly 70% of hiring managers said they had “at least one character concern about recent grads,” including 33% who cited “a lack of work ethic.” Another 76% said recent grads required assistance understanding basic documents such as memos, contracts and budgets.
 

Nikii Shaver on legal AI strategy, agentic governance, and trusted judgement — from The Geek in Review Podcast

What does legal AI value look like once speed stops serving as the headline metric? In this episode of The Geek in Review, Greg Lambert and Marlene Gebauer speak with Nikki Shaver, co-founder and CEO of  Legal Technology Jub and a member of the inaugural Financial Times Law 50. Shaver argues that law firms need to move beyond time saved toward efficacy: stronger output, stronger client outcomes, and more effective legal advice.

The conversation examines why the billable hour is far from finished yet no longer serves as the sole measure of legal value. Shaver compares hourly timekeeping to a taxi meter: useful for internal visibility, yet insufficient as the price signal for work transformed by AI. Workflow mapping, client discussions, and pricing discipline become central where an AI-enabled process compresses weeks of effort into hours.

Corporate legal departments are adopting AI at a faster pace, bringing new pressure to outside counsel. Some in-house teams see AI as a route to keep more work inside, while others see room for firms to take on work that previously sat outside budget limits. Shaver frames the strategic question around delivering more for clients, especially in practice areas where a firm holds differentiated expertise.

AI has not produced the promised empty calendar. Instead, lawyers report fuller schedules, longer documents, and a growing verification tax. Shaver flags the rise of 40-page forms, bloated redlines, and outputs that look polished yet lack sound reasoning. The episode makes a practical case for concise drafting, human review, and critical reasoning before any AI-generated material reaches a client or counterparty.

Agentic AI raises the stakes. Legal Technology Hub’s AI Agents in Law Map tracks hundreds of solutions, yet governance has not kept pace with new autonomy, connectors, and downstream system access. Shaver urges firms to establish traceability, unique identifiers, risk-based human oversight, enforceable policies, and a clear view of where data travels.

For firms aiming past baseline adoption, Shaver draws a line between routine personal use and strategic transformation. Daily use builds fluency, but competitive advantage grows from proprietary workflows, data foundations, client-facing collaboration spaces, and focused investment in the practices where a firm already excels. Her crystal-ball view is blunt: trusted judgment will become a scarce premium asset, AI-native firms will rise, and traditional firms will launch AI-native subsidiaries of their own.


Nonprofit, legal automation company design new AI tool to protect public benefits — from abajournal.com by Amanda Robert

An artificial intelligence tool from national nonprofit Frontline Justice and legal automation company Josef that aims to improve access to justice is rolling out across three states.

Frontline Q, an AI assistant that can help families navigate the complex Supplemental Nutrition Assistance Program, is now available in Arizona, Texas and Alaska. Using a combination of federal, state and local regulations and with oversight from legal aid lawyers, it offers answers to questions about the program’s eligibility and appeal rules.


CLM is a Zombie, ALSPs are In Trouble and Outside Counsel Budgets Cut in Half: Episode 54, Wordsmith.ai CEO Ross McNairn — from legallydisrupted.com by Zach Abramowitz
The understated founder of one of the hottest legal AI startups on the market makes bold predictions


Though not necessarily related to legaltech, these items caught my eye as well:

The Los Angeles Police Department (LAPD) is reportedly ending its deal with Flock Safety, a surveillance company that helps law enforcement track vehicles using thousands of its license plate cameras placed across the United States.

A senior LAPD official told news outlets, first reported by ABC7 and the Los Angeles Times, that the police department would allow its three-year contract with Flock to expire when it ends on Saturday. The department cited “serious concerns” around civil liberties and privacy. Flock’s cameras are operated by the Atlanta, Georgia-based company and not the LAPD.

To survive this nightmarish job market, candidates are now “spraying and praying,” as one career coach described it — or paying resume services to blast out thousands of CVs per day to game the system and land a gig. However, according to experts in the tech industry who spoke with SFGATE, this is only creating a vicious cycle of inefficiency that hurts both workers and companies.

 

Higher Education Can’t Wait for the Future to Arrive (Lev Gonick, Arizona State University) — from humanistxyz.substack.com by Allison Dulin Salisbury
“The biggest risk we face as a sector is assuming we can wait out AI.”

We have an opportunity right now to reorient the university around student experience—not as an aspiration, but as a necessity. I’m calling this shift TechEd, which I explore in detail in my LinkedIn series The TechEd Revolution.

AI poses a fundamental shift in how technology might empower students to own their discovery and educational journey, and to drastically reduce the friction that makes college so unappealing to so many.

To that end, we need to urgently redesign systems and opportunities around skills and competencies. That work should be far more advanced than it currently is. And one of the hardest challenges is rethinking how we operate as a workforce in academia. 

 

From DSC:
I used to be able to bring up Firefly on the web and use it “free” of charge — I didn’t have to go purchase tokens or credits. (I was actually paying for the Adobe Creative Cloud Pro suite of tools…so it wasn’t really free.)

But the other day I was trying to figure out what the latest pricing is at Adobe with that suite of tools and the use of credits for AI-based features. They say Adobe Creative Cloud Pro users get 4000 credits a month. Well, I have that suite and I’m still getting prompted to purchase credits. Firefly for individuals runs from $9.99 (2,000 credits/month) to $139.91 per month (50,000 credits per month). Not inexpensive, right? Below are other items along these lines.


The Era of Affordable AI Is Over. What Comes Next? — from builtin.com by Ameya Kanitkar
AI providers are shifting to usage-based billing for their services. AI fluency is more important now than ever to make the most of your tools to avoid unnecessary spending.

Summary: The era of cheap, flat-rate AI is ending as providers shift to usage-based billing. Every prompt now carries a direct cost, turning casual use into major budget risks, as seen when Uber depleted its 2026 AI budget in four months. Leaders must now track real-time value and token efficiency.

For a brief window, companies had access to the most transformative technology in a generation at the cost of a streaming subscription. Tools like ChatGPT put AI within reach of anyone with a browser and time for experimentation, while GitHub Copilot came in at just $10 a month, with token costs remaining relatively low. In the beginning, experimentation felt cost-effective, easy and relatively low-risk. 

But that era is ending, and the bill is coming due faster than a lot of enterprise leaders anticipated. 


The Fable of AI in Education — from downes.ca by Stephen Downes
Marc Watkins, Rhetorica, Jun 17, 2026

Tokenomics will be a hot topic of discussion on university campuses because, as Marc Watkins notes in this article, there is no realistic path forward to providing all students with access to advanced AI.


From this posting on LinkedIn.com from Dr. Nick Jackson:

And now there is a third layer emerging. Institutions are waking up to a systems-level question they are likely not remotely prepared for. Who pays for AI? How are budgets managed when there are unclear token consumption pricing models? How is AI procured? Who decides what tools get used and by whom and who gets access and at what level?

.


 

If AI Eats the Entry-Level Job, Where Do Young People Learn to Work? (Ryan Craig, Achieve Partners) — from humanistxyz.substack.com by Allison Dulin Salisbury; via Ryan Craig
“The public should not be subsidizing colleges whose students lack relevant, paid, in-field work experience.”

That is the trap at the center of this conversation: everyone wants to hire someone with three years of experience, and almost no one wants to provide those three years.

And Ryan’s policy prescription is unusually concrete: pay employers to hire and train apprentices, following the countries that have scaled apprenticeship far faster than the U.S.; require colleges receiving federal student aid to provide relevant, paid, in-field work experience; and build a market of intermediaries that can make the whole thing operational.

Ryan’s view is that higher education remains critically important. But college without meaningful work experience may become a much worse bet, especially for students who cannot afford to guess wrong.

 

The unbundling of lawyer institutions — from jordanfurlong.substack.com by Jordan Furlong
AI will strip law firms and law schools of their commodity features. Their future depends on whether they can rebuild around their highest-value functions and their trust-bearing core.

Two very different articles — one from a law professor, one from a legal technology analyst — crossed my desk last month. They each say something really important about law schools and law firms, respectively. But taken together, they point us towards what I think is an even more profound reality about lawyer institutions in the post-AI world.

At his eponymous Substack, Professor Michael Plaxton’s “To Our Next Law Dean” is really addressed to every dean of every law school, asking: After AI, how will you justify our existence? His concern is that AI is rapidly learning to perform many of the tasks law schools train students to do, and to deliver much of the general legal knowledge law schools provide at scale, including research, writing, analysis, and explanation.
…
At Legal Technology Hub, Nikki Shaver’s “Law Firms Want to Change; They Just Can’t” asks whether law firms are capable of managing the transition to a post-AI legal market.

Law schools and law firms are the legal profession’s most important institutions. But they were built for a world in which legal intelligence was scarce, and that world is rapidly passing away.

 


Also related/see:


Affordable & Accessible: The Democratization of Legal Tech (Tyler Foreman VP of AI – Rocket Lawyer) — from tlpodcast.com with Tyler Foreman & Chad Main
Tyler Foreman, the Vice President of AI at Rocket Lawyer, joins the show to discuss the intersection of artificial intelligence and the legal industry.

The conversation focuses on how modern generative AI and Large Language Models (LLMs) act as a legal operating system to simplify contract reviews, document drafting, and client intake, while maintaining essential connections to human attorneys.

 
 

The Tyranny of College Admissions: Why It’s So Challenging to Have Real Change in K-12 Education — from gettingsmart.com by Jon Alfuth

Key Points

  • College admissions policy shapes K-12 practice. If colleges continue to privilege course sequences, seat time, and grades, high schools will remain constrained in how far they can move toward competency-based learning.
  • States and institutions already offer models for change. Wisconsin, Colorado, Indiana, and pilots like CUNY and Michigan Ross show that admissions can incorporate portfolios, demonstrations of learning, and durable skills.

If we could instead orient K-12 education around skill development and application rather than Carnegie Units and grades, we could create a new paradigm for where, when and how students demonstrate college and career readiness. Competency-based education moves schools and systems towards this desirable future that balances knowledge with skills. 

Despite tremendous evidence of its potential, efforts to accelerate this shift have been stymied by the tyranny of college admissions requirements and processes. Parents, teachers, administrators and policymakers end up in a quandary. Anyone attempting to shift away from this traditional course sequence is criticized as trying to lock kids out of higher education and we snap back to the way things have always been done. 

 
 
© 2025 | Daniel Christian