College Students Are Losing the Ability to Read (and think)

More food for thought (but only if you can read and think):

In a new essay for The Chronicle Higher Education, university-level literature and writing instructor Tyler Jagt recalls how not a single one of his students could get through an assigned 20-page article, something that he had read “without complaint” as an undergraduate a decade ago…“So when a student tells me they ‘kept losing track’ of a 20-page article, I have to acknowledge that they may be describing a measurable neurological condition,” Jagt wrote. “The neural pathways that support sustained attention are built by use, and they atrophy without it. Your body is a use-it-or-lose-it system, and the brain is no exception.” College Students Are Rapidly Losing the Ability to Readhttps://futurism.com/future-society/college-students-losing-ability-read

No surprise then when graduates demonstrate Alarmingly Shallow Ideas.

Do we really want Artificial Intelligence (AI) in the Classroom?

Artificial Intelligence (AI) in the Classroom?

Retraction Note to: Humanities and Social Sciences Communications https://doi.org/10.1057/s41599-025-04787-y, published online 06 May 2025. The Editor has decided to retract this paper owing to concerns regarding discrepancies in the meta-analysis. These issues ultimately undermine the confidence the Editor can place in the validity of the analysis and resulting conclusions. The authors have not responded to correspondence regarding this retraction. Retraction Note: The effect of ChatGPT on students’ learning performance, learning perception, and higher-order thinking: insights from a meta-analysishttps://www.nature.com/articles/s41599-026-07310-z

The jury’s still out on AI’s effectiveness as a learning tool, but research so far paints a grim picture. Using AI chatbots can impair critical thinking, result in lower brain activity during cognitive tasks, and has been linked to memory loss. A Major Paper Claiming AI Is Good for Students Just Got Retracted, Which Is Very Bad News for Advocates of AI in the Classroomhttps://futurism.com/artificial-intelligence/study-ai-good-for-students-retracted

AI’s effectiveness as a learning tool is probably better for people who already know how to think having “learned” stuff the old fashioned way. AI’s effectiveness as a learning tool for some of the younger generations has shown promise in one area known as cheating.

Last year, a survey of some 500 Princeton seniors found that over 27 percent admitted to cheating with an AI model like ChatGPT, while about half said they knew about a violation of the honor code. If those are the numbers at a vaunted Ivy league, just imagine what conditions are like for the rest of the country. Princeton in Shambles Over AI Cheatinghttps://futurism.com/future-society/princeton-shambles-ai-cheating

BTW, the estimated cost of attendance for 2026-27 is $94,624 at Princeton U. https://admission.princeton.edu/cost-aid/fees-payment-options

Maybe the Princeton kids had to cheat because they offloaded too much of their own thinking and by default, didn’t learn how to think.

The risks of using generative artificial intelligence to educate children and teens currently overshadow the benefits, according to a new study by the Brookings Institution’s Center for Universal Education… The report describes a kind of doom loop of AI dependence, where students increasingly off-load their own thinking onto the technology, leading to the kind of cognitive decline or atrophy more commonly associated with aging brains… Rebecca Winthrop, one of the report’s authors and a senior fellow at Brookings, warns, “When kids use generative AI that tells them what the answer is they are not thinking for themselves. They’re not learning to parse truth from fiction. They’re not learning to understand what makes a good argument. They’re not learning about different perspectives in the world because they’re actually not engaging in the material. The risks of AI in schools outweigh the benefitshttps://www.npr.org/2026/01/14/nx-s1-5674741/ai-schools-education?

Your final food for thought.

I climb telephone poles. It’s awesome.

In a small Ohio city between Dayton and Columbus, the American Dream is alive and well for 24-year-old Kyson Cook. The father of one owns a three-bedroom home, has no debt beyond his mortgage and ends most workdays around 4:30 p.m., leaving plenty of time to shoot pool, go fishing or spend time with family. He has a small plot of land with space for his daughter to play, along with enough money to buy her whatever toys she wants and regularly contribute to a mutual fund with her name on it, without needing to cut back on new clothes, vacations or eating out. The AI economy is rewriting the American Dream — and blue-collar workers are poised to winhttps://www.cnbc.com/2026/05/19/ai-hiring-slowdown-skilled-trade-workers.html

Your Post-Memorial Day long read. Bonus – Scary Charts!

Let’s create existential distress and deep anxiety in your employees!

Taking the brunt of this are young workers. According to a recent survey by yet another consulting firm, most of the AI-driven headcount reduction that CEOs are bracing for is expected to focus on early-career positions. The reasoning for that, as it goes, is that AI is best at automating simpler tasks that an early-career worker would be expected to perform at a company as they get on-the-job training needed to mature into higher-level positions. But many executives, dazzled by the promise of an AI chatbot that can finish tasks in mere seconds and work 24/7 without needing so much as a bathroom break, have said to hell with early-career workers and training the future of the workforce. 99% of CEOs Expect AI-Driven Layoffs in the Next Two Yearshttps://gizmodo.com/99-of-ceos-expect-ai-driven-layoffs-in-the-next-two-years-2000762994

Or you can believe the NY Federal Reserve.

We document that one factor contributing to youth unemployment is the four-fold rise in remote work since the pandemic. Employers may not want to hire fresh graduates onto distributed teams because it is more difficult to teach them the requisite skills from afar. Remote Work Leaves Younger Workers Sidelinedhttps://libertystreeteconomics.newyorkfed.org/2026/06/remote-work-leaves-younger-workers-sidelined/

Good luck trying to determine what’s true. It’s only the worst job market for college grads ever.

Scary Charts 05.17.26

Source – The Class of 2026 is cooked https://www.semafor.com/article/05/15/2026/ai-has-contorted-the-job-market-for-twentysomethings-leaving-college-this-may

Sourcehttps://layoffs.fyi/

“I think the junior level is definitely finding it harder now to enter the workforce,” said John Romeo, who leads the consulting firm’s research arm, the Oliver Wyman Forum. “It’s those mid- and senior-level employees that CEOs are now looking at to drive productivity.” That’s because of the types of tasks that AI agents are able to perform, from writing code at the level of a junior developer to evaluating sales leads. What the agents can’t do in many fields is make judgment calls using the insight that comes from on-the-job experience, according to labor experts. AI Poised to Tilt Job Market Leverage Toward Older Workershttps://finance.yahoo.com/economy/policy/articles/ai-poised-tilt-job-market-150000094.html

Yikes!

If you managed to scroll down this far here’s a bonus video.

Alarmingly Shallow Ideas

As one New York financier told Financial Times journalist Gillian Tett, new hires who were seen as “AI natives” are turning out to have alarmingly shallow ideas. So much so, the anonymous finance worker admitted, that his firm now actively avoids seeking out AI-literate STEM graduates, and opts to comb through humanities students instead…

The state of higher education is so bad that many of today’s higher ed students are not only offloading their coursework to AI chatbots like ChatGPT — a shortcut, educators say, that’s even impacting their ability to participate in face-to-face discussions. Bosses Horrified as “AI Native” College Graduates Hit the Workplacehttps://futurism.com/future-society/college-critical-thinking-ai

Yikes.

Deeply disturbing. So what can a concerned parent do?

Ask ChatGPT what to do!

My college graduate son has no critical thinking skills after relying upon ChatGPT. What should I do?

Treat this as a skills-and-habits problem, not a character flaw or a “ChatGPT ruined him” problem. A lot of recent graduates learned to use AI as a shortcut before they learned how to think through ambiguity on their own. The good news is that critical thinking is trainable.

A few things matter here:

  1. Don’t turn this into a fight about technology
  2. Separate competence from confidence
  3. Create situations where he has to reason, decide, and defend conclusions

What often happens is:

  • Students get very good at producing polished answers
  • But weak at:
    • evaluating evidence
    • making tradeoffs
    • spotting bad assumptions
    • persisting through confusion
    • forming independent judgment

Those are different skills.

Here’s what tends to work better than lectures about “kids relying on AI.”

Change how he uses AI

The goal is not “stop using ChatGPT.” It’s “use it as a sparring partner instead of a vending machine.”

Encourage rules like:

  • No copying answers directly
  • He must form an opinion first
  • He must explain why an answer is correct
  • He must ask AI to critique his reasoning instead of replacing it

Good prompts:

  • “Challenge my assumptions.”
  • “What are the strongest counterarguments?”
  • “What evidence would disprove this?”
  • “What am I overlooking?”
  • “Give me three competing interpretations.”

Bad pattern:

  • “Write this for me.”

Put him in environments that punish shallow thinking

Critical thinking develops fastest when reality pushes back.

Good environments:

  • Jobs with responsibility and consequences
  • Sales
  • Operations
  • Managing projects
  • Technical troubleshooting
  • Apprenticeships
  • Debate-heavy workplaces
  • Entrepreneurship
  • Volunteer leadership

Real-world feedback is hard to fake.

Ask questions instead of giving conclusions

If you immediately correct him, he stays mentally passive.

Instead ask:

  • “How did you arrive at that?”
  • “What evidence supports it?”
  • “What would change your mind?”
  • “What’s the downside of your approach?”
  • “What assumption are you making?”

That forces metacognition.

Make him defend positions he disagrees with

One of the fastest ways to build reasoning is:

  • argue both sides
  • compare tradeoffs
  • steelman opposing views

You can do this casually over dinner or current events.

Encourage slow thinking

A lot of AI-heavy habits create intellectual impatience.

Critical thinking often requires:

  • sitting with uncertainty
  • reading longer material
  • comparing sources
  • wrestling with incomplete information

Books, long-form journalism, analytical podcasts, and difficult projects help rebuild that stamina.

Watch for learned helplessness

Sometimes the issue is not inability but reflexive dependence:

  • “I don’t know immediately”
    → “I need AI to think for me”

A useful rule:

  • Spend 15–30 minutes thinking independently before asking AI.

Also be realistic about the transition to adulthood

Many graduates — long before AI existed — left college without strong judgment skills. Those usually develop through:

  • responsibility
  • mistakes
  • work
  • relationships
  • financial pressure
  • repeated decision-making

You do not need to panic because he’s behind in one area at graduation.

The biggest mistake parents make here is trying to “convince” an adult child that he lacks critical thinking. That usually triggers defensiveness and dependency at the same time.

A better posture is:

  • respect him as an adult
  • expect reasoning and accountability
  • ask probing questions
  • stop rescuing poor decisions too quickly
  • encourage environments that require independent judgment

If you want, I can also help you with:

  • signs that this is normal vs genuinely concerning
  • exercises that rebuild critical thinking quickly
  • how to talk to him without sounding accusatory
  • ways young professionals can use AI without weakening reasoning skills

“Medical” Advice for the Masses

The AIs’ failure rates exceeded 80 percent when provided with given ambiguous symptoms that could match more than one condition, and for more straightforward cases that included including physical exam findings and lab results, they still failed 40 percent of the time. The researchers also found that unlike human clinicians, the “LLMs collapse prematurely onto single answers,” resulting in “weak performance” across all models. Millions of Americans Are Talking to AI Instead of Going to the Doctor, and It’s Giving Them Horrendously Flawed Medical Advicehttps://futurism.com/artificial-intelligence/millions-americans-ai-instead-doctor-bad-advice

Wow.

From the study discussion section:

Our evaluation suggests that despite rapid advances in pattern recognition and knowledge retrieval, current LLMs still lack the reasoning processes needed for safe clinical use. The consistent gap between differential diagnosis and final diagnosis highlights how differently these systems process information compared with physicians. Clinicians preserve uncertainty and iteratively refine differential diagnoses, whereas LLMs collapse prematurely onto single answers, a limitation that persists across model generations. Their weak performance on differential diagnosis, consistent with a prior study from authors of the current work,8 suggests these limitations persist across early and state-of-the-art models. The risk is not just that LLMs are sometimes wrong but that their reasoning is brittle precisely where uncertainty and nuance matter most. Benchmarks that reward only correct final answers risk reinforcing this shortcutting, widening the gap between marketing claims and the skills actually required at the bedside. Large Language Model Performance and Clinical Reasoning Tasks – Rao AS, Esmail KP, Lee RS, et al. Large Language Model Performance and Clinical Reasoning Tasks. JAMA Netw Open. 2026;9(4):e264003. doi:10.1001/jamanetworkopen.2026.4003 https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2847679

Wow.

Should you really trust health advice from an AI chatbot? https://www.bbc.com/news/articles/clyepyy82kxo. Dr Nicholas Tiller explains: “They are designed to give very confident, very authoritative responses, and that conveys a sense of credibility, so the user assumes that it must know what it’s talking about.” He thinks chatbots should be avoided for health advice unless you have the expertise to know when the AI is getting the answers wrong.

The study’s Conclusions The audited chatbots performed poorly when answering questions in misinformation-prone health and medical fields. Continued deployment without public education and oversight risks amplifying misinformation. Tiller NB, Marcon AR, Zenone M, et al

Generative artificial intelligence-driven chatbots and medical misinformation: an accuracy, referencing and readability audit BMJ Open 2026;16:e112695. doi: 10.1136/bmjopen-2025-112695 https://bmjopen.bmj.com/content/16/4/e112695

Wow.

Now go read this thread posted on LinkedIn https://www.linkedin.com/posts/gratuz_ai-llm-activity-7358862577512165376-Q7AA

Yikes.

America’s Largest Hospital System Ready to Start Replacing Radiologists With AI

“We could replace a great deal of radiologists with AI at this moment, if we are ready to do the regulatory challenge,”
Mitchell Katz, president and CEO of New York’s 11-hospital public benefit corporation

Mohammed Suhail, a radiologist at North Coast Imaging in San Diego, told Radiology that Katz’s comments are “undeniable proof that confidently uninformed hospital administrators are a danger to patients (and are) ..“easily duped by AI companies that are nowhere near capable of providing patient care.”

America’s Largest Hospital System Ready to Start Replacing Radiologists With AI, Its CEO Says – https://futurism.com/artificial-intelligence/hospital-ceo-ai-radiology

Confidently. Uninformed.

Yikes.

What Grok Thinks About This Blog – 01.04.26

lifeunderwriter.net is a personal WordPress.com blog run by an experienced life insurance underwriting professional (the author uses the handle “SupremeCmdr” and has been posting since at least 2008).

The site’s tagline is “Curated Content From a Life Underwriting Professional”. It primarily features:

  • Curated links to external articles, studies, and news items
  • Commentary and personal reflections from the author’s perspective as someone who has worked in life insurance underwriting (assessing mortality risks, medical records, risk classification for policies, etc.)
  • Insights related to the insurance industry, mortality trends, health/longevity topics (e.g., vitamin D in older adults, obesity treatments, nutrition, diabetes risks), retirement planning (e.g., deferring Social Security), remote work in insurance, and occasional broader thoughts on society, technology, or resilience

The content often ties back to how various medical, lifestyle, or demographic factors might influence underwriting decisions in life insurance, but it has evolved over time into a more eclectic mix. Recent posts (including into 2025) frequently cover:

  • Health and nutrition (e.g., protein’s role in diets, GLP-1 drugs, probiotics)
  • Personal anecdotes (cooking recipes, music like Pat Metheny)
  • Retirement and aging commentary
  • Industry observations (e.g., older workers, AI’s effects)

The blog is not a commercial service site offering underwriting services (an older page mentions “Underwriting Solutions LLC” from around 2006–2017, but those appear to be in hibernation or discontinued). It functions more as a personal journal / link blog than a formal resource or forum.

It remains active with regular (sometimes frequent) posts, though the style is informal, opinionated, and not strictly professional/academic. If you’re in the life insurance field or interested in mortality/longevity topics through an underwriter’s lens, it can offer interesting curated reading; otherwise, it’s a niche personal blog.

It has evolved over time into a more eclectic mix?

How about always been a more eclectic mix!

What ChatGPT Run Through Duck.ai Thinks About This Blog

Lifeunderwriter.net is a blog mainly focused on topics related to life underwriting in the insurance sector. It covers various aspects of the underwriting process, success tips for professionals, and insights into the life insurance industry.

Key Features of the Blog

  • Curated Content: The blog displays curated content from a life underwriting professional aimed at sharing knowledge and resources.
  • Topics Covered: Posts may include discussions on underwriting practices, medical news relevant to underwriters, career tips, and personal insights about the industry.
  • Regular Updates: The blog has been active for several years, with posts dating back to 2008, and it appears to encourage subscriber engagement.

Recent Posts and Themes

Recent entries suggest a mix of industry insights and personal reflections. Topics range from the impact of emerging trends in underwriting to the importance of keeping updated with medical advancements.

If you’re interested in specific articles or themes from the blog, let me know!