The Faculty Bargain Of 2040: What Should The University And Its Faculty Owe One Another? — from forbes.com by David Rosowsky

What if we stopped reforming the existing faculty career for a moment? What if we started over?

Suppose we were designing the faculty career today for the university of 2040, starting with a blank sheet of paper. There would be no rigid departmental affiliations, ranks, tenure systems, promotion policies, or inherited assumptions. We could keep anything that still made sense. But nothing would be presumed necessary simply because it has been around for decades.

What would we build?

When machines can increasingly perform parts of the work that once consumed enormous amounts of human time, the scarce attributes may shift toward judgment, curiosity, creativity, disciplinary depth, the ability to frame consequential questions, the capacity to connect ideas across fields, and the ability to know when a machine is wrong.

That is not an argument for fewer faculty. It may be an argument for different faculty – and for a faculty employment system capable of recognizing those important (even desirable) differences.

 

 

This used to be a cornerstone of every job application. Not anymore. — from washingtonpost.com by Julia Carpenter; this is a gifted article
Has AI finally killed the cover letter?

“It’s not just easier to write a cover letter, it’s easier to write a phenomenal cover letter,” Kessler said. “That’s become more of a prerequisite and less of a differentiator.”

At the same time, the use of AI has contributed to an explosion of applications. For every open role in 2026 there are twice as many applicants as there would have been for similar roles in 2022, according to a recent study from LinkedIn Research.

That makes hiring managers and recruiters less likely to give cover letters even a perfunctory glance. They have too much else to handle during a busy job search, said Johnny C. Taylor, president and chief executive officer of the Society for Human Resource Management.

“The cover letter is literally dead, never to be resuscitated,” he said. “There’s too much volume for this beautiful piece of prose.”

“It’s tough when no one can give you a right answer,” Ogunlana said. “You have some recruiters saying ‘It’s worth it’ and others saying ‘No.’”

If there is any consensus, it’s that cover letters with a “human element” still can help an applicant stand out.

They need to sound different from all the ones written with AI, said Jason Baker, vice president of talent acquisition at Arctic Wolf, a security operations firm.

Baker recalled one applicant who didn’t land the job they originally applied for, but because their cover letter made such an impression, Baker invited them back when the company was hiring again for a similar position.

 

The Reinvention of Liberal Arts Colleges — from educationnext.org by Jon Marcus; via Ryan Craig
To remain relevant amid evolving attitudes toward higher education, Brandeis University and institutions like it are redefining their purpose

By the fall, the university will have reorganized itself into four new schools that bring together existing professional programs in areas such as business, technology, and public policy with liberal arts disciplines including history, biology, philosophy, and sociology. Before the first semester starts, each arriving student will be assigned not only an academic adviser, but also a career counselor. And in what has become the most prominent symbol of the strategy, graduates will leave with “career-competency” transcripts alongside their conventional ones, listing what skills they have learned that employers value, from communicating and writing to proficiency with AI. This second transcript also will include internships and jobs students have held as well as microcredentials, which the university now gives them a chance to earn, at no additional cost, in digital-knowledge-economy subjects such as data analytics and statistical analysis.

Let’s record the durable skills. Let’s record the life skills. Let’s record the career skills.” That way, employers will understand exactly what students have been taught to do—as will students themselves.

…
The liberal arts are in a quiet crisis of their own. The number of bachelor’s degrees awarded in the liberal arts—generally defined as a broad education offering majors in humanities, social sciences, natural sciences, and math—fell to a 30-year low in 2024, the latest period for which data are available, according to the American Academy of Arts & Sciences. That was 30 percent below the peak in 2012. Students have instead been choosing majors in subjects they consider tied directly to careers, including business, management, and health professions.

 

Social Learning in a Skills-Based Economy — from learningguild.com by George Hall

In a skills-based economy, social learning should not be understood merely as interaction around content. It should be understood as part of the learning architecture itself: the social and emotional structure that helps people ask questions, test ideas, practice judgment, receive feedback, and stay open when learning feels personally risky.

That distinction matters.

In a defensive culture, social learning creates the conditions in which people can stay engaged with difficult ideas long enough to learn from them.

People often need other people to help them think:

  • They need to hear others reason their way through complexity
  • They need to see peers ask questions they were afraid to ask
  • They need to practice disagreement without rupture
  • They need to discover that uncertainty is shared
  • They need to see that changing one’s thinking does not have to mean losing face

This is not soft. Far from it.

It is foundational.

 

Most college students get grants. See how they cut the price at 2,100 schools. — from washingtonpost.com by Todd Wallack, Dylan Moriarty and Danielle Douglas-Gabriel (this is a gifted article)
The Post created a list that shows the average cost to attend over 2,100 U.S. colleges. This tool allows you to see a school’s sticker price compared with the average real price — factoring in the average amount students get in grants and scholarships.

You might have seen us report recently that students often don’t pay the full sticker price for tuition at expensive schools.

So how much does college actually cost where you live?

We put together a searchable list of more than 2,100 four-year colleges and universities across the country so you can see how much colleges cost on average after factoring in grants and scholarships, including money students receive from the government, private organizations or the schools themselves.

 


From DSC:
A couple of key quotes jumped out at me here:

And what would have to change for every learner to experience a college that knows them, believes in them, and is connected to the community where they hope to build a life?
…
The ideas these colleges started with aren’t necessarily the ideas they’re pursuing now, and that’s exactly the point. Through human-centered design, they listened deeply to learners, employers, faculty, staff, and community partners. They challenged assumptions and changed direction based on what they learned. What they are building reflects the needs, strengths, and aspirations of their communities. That is what designing with people looks like.

 

Making real work visible: Credentialing Community Justice Workers with Frontline Justice — from eddesignlab.org (also educationdesignlab.org)

Frontline Justice is working toward a simple, ambitious vision: By 2035, anyone, no matter their background or location, can access the legal help they need for everyday civil issues. To move toward that future, the work is organized around two goals that run in parallel: (1) rapidly growing a new workforce of justice workers now, and (2) laying out long-term vocational paths so this role becomes a lasting and respected part of the justice ecosystem.

 

Your Next Job Interview Could Be With a Bot. Here’s How to Prepare. — from builtin.com by Jeff Rumage
More employers are using AI to screen candidates before they ever speak with a recruiter. Here’s what to expect from an AI interview and how to put your best foot forward.

Summary: AI-led interviews are becoming a common early-stage hiring screen as employers use conversational AI to evaluate applicants at scale. Candidates can prepare by practicing aloud, keeping answers concise, using mock AI interview platforms and avoiding scripted responses.

 

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?

 

 

Dario Amodei’s article here:
We Must Pace the Frontier — from darioamodei.com

But like many technologies before it, AI brings risks, and because it is such a powerful technology, these risks are serious. I’ve written a lot about them too. They include the risk of losing control of AI systems, misuse of AI for cyberattacks and bioterrorism, and serious economic disruption. A race to the bottom, spurred by commercial incentives, can make these risks more acute.

Along with my co-founders and employees, I have grappled with this duality of risk and benefit since the beginning of Anthropic.


Also relevant/see:


[GIFTED ARTICLE]
Anthropic CEO calls for the AI industry to slow down — from washingtonpost.com by Ted Hesson, Ian Duncan, and Gerrit De Vynck
Anthropic CEO Dario Amodei said he was worried about the ability to control self-improving AI models.

Three of the nation’s leading artificial intelligence executives endorsed slowing down the blistering pace of technological advancement, revealing the growing unease with its potential dangers at the industry’s very highest levels.

The call was first made in an essay Anthropic chief executive Dario Amodei posted online Saturday. The idea has gained ground in recent weeks as AI companies have struggled in some cases to keep their creations under control, even as they usher in an age in which AI systems themselves can build the more powerful next generation of the technology.


[GIFTED ARTICLE]
For years, they warned AI could kill all humans. Now people are listening. — from washingtonpost.com by Nitasha Tiku
A doomsaying community once on the periphery of the tech industry has gained influence, as AI “agents” perform amazing and alarming feats.

But when Hubinger issued a similar warning this week in a post on X, his message was viewed tens of millions of times, prompting state and federal lawmakers to echo his concern. Now he spoke as a team lead at Anthropic, developer of the chatbot Claude and a company set to go public at a valuation of over $1 trillion.

“AI could kill all humans … I personally think it is >10% within the next decade,” Hubinger wrote, in response to the resignation of his colleague Jacob Coxon, who accused Anthropic of racing ahead despite the dangers.
.

 

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

 

When Learning Feels Like a Vulnerability — from learningguild.com by George Hall

Why do some adult learners interpret training as a judgment about their competence, status, or identity?

Learning and development professionals often focus on content, platforms, courses, tools, and performance support. Those matter. But they are not enough. Learning is never just cognitive. It is also emotional and social.

A new skill can feel like evidence that old competence is no longer enough. Feedback can feel like judgment. A new model can feel like criticism of past practice. A request to change can feel like a loss of face.

It means learning can feel personally exposing. Adult learners do not only receive training. They interpret what needing training seems to say about their competence, status, identity, and future value. That interpretation can either open learning or shut it down.

 

 

 

‘You can’t just lecture students any more’ — from timeshighereducation.com by Debra Page
GenAI does not make lecturers redundant, but it does weaken one-way content delivery as a reason to bring students together, writes Debra Page. She shares four practical shifts to teaching in the age of AI

This does not make lecturers redundant; it makes one-way content delivery a weaker reason to bring students together. Expert explanation, intellectual storytelling and the modelling of disciplinary thinking still matter, but in-person teaching must also help students apply knowledge, question claims, build arguments and encounter perspectives beyond their own.

The problem is not lecturing; it is speaking for an hour and treating content coverage as evidence that learning has occurred.

These four practical shifts can make lectures more valuable in the age of AI.

 

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:

 

Escaping The Backrooms Of Workforce Development — by Ryan Craig

Which makes sense. Because far too many find themselves in a liminal space, neither in school nor a career. Needing to make a living in an era of digital transformation and AI, they’re having a horrific time finding their way into and around work. So it’s not just education and training wonks who think workforce is the defining issue of our time. The success of Backrooms demonstrates Gen Z thinks so, too.

It’s happening everywhere. Young people around the world are angry at how hard it’s become to launch careers. This summer an entire protest movement arose in India – the world’s largest Gen Z population – around entrance exams for medical school, one of the few remaining sure bets. In the UK, youth unemployment is over 16%; it’s 15% across the EU and over 25% in Sweden. Back home, nearly 400,000 young Americans stopped looking for work in June alone. So it’s urgent that we identify what actually works to help young people get good first jobs.

The answer lies between apprenticeship perfection and train-and-pray scale. We desperately need a scalable training-first model that’s as proximate as possible to employment opportunities, employers, and actual employment. That can only mean work-based learning: real work experience completed during or connected with a training, certificate, or degree program. Work-based learning can take many forms: rotations, clinics, co-ops, internships, short projects. It can be integrated into coursework or independent. But what all forms require are bona fide employers, which regulate scale. Such programs can enroll only as many as can fit within the constraint of available work-based learning opportunities.


Also see:


Also see:

Is Your College A Zombie? — from forbes.com by Ann Kirschner; via Ryan Craig

I want to be careful here, because this is not an argument that universities are doing nothing. They are doing an enormous amount. New programs, AI task forces, employability frameworks, microcredentials, and shifts in how they enable lifelong learning.

Activity is not the problem; what has not changed is the machinery that decides what counts. Too many institutions move in herds rather than forging an independent path. When one college launches a new program, say, data science and AI, fifty will follow without asking whether their version serves their students or simply checks a competitive box.

Meanwhile, 88% of American professionals believe colleges and universities should be the ones providing AI training, and nearly half say their employers have offered no AI resources whatsoever.¹

 
© 2025 | Daniel Christian