corporate / business world

“My students use ChatGPT to attack their own thinking before I ever grade them.” [Winkel] + another item re: AI in our LE’s

On 12/10/2025, in adjunct faculty, adult learning, Artificial Intelligence/Agents/LLMs/and Related, bots, cloud-based computing / apps / other cloud-related, colleges, communities of practice, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, creativity, digital learning, education, education technology, emerging technologies, experimentation, faculty/staff, future of higher education, game-changing environment, generational differences, graphics, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, law schools, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, learning spaces, liberal arts, library / librarians, lifelong learning, multimedia, pedagogy, personalized/customized learning, platforms, productivity / tips and tricks, skills, society, student-related, teachers, teaching & learning, teaching online, technologies for your home, tools, training / L&D, trends, United States, universities, vendors, vision/possibilities, workplace, by Daniel Christian

Beyond Infographics: How to Use Nano Banana to *Actually* Support Learning — from drphilippahardman.substack.com by Dr Philippa Hardman
Six evidence-based use cases to try in Google’s latest image-generating AI tool

While it’s true that Nano Banana generates better infographics than other AI models, the conversation has so far massively under-sold what’s actually different and valuable about this tool for those of us who design learning experiences.

What this means for our workflow:

Instead of the traditional “commission ? wait ? tweak ? approve ? repeat” cycle, Nano Banana enables an iterative, rapid-cycle design process where you can:

Sketch an idea and see it refined in minutes.
Test multiple visual metaphors for the same concept without re-briefing a designer.
Build 10-image storyboards with perfect consistency by specifying the constraints once, not manually editing each frame.
Implement evidence-based strategies (contrasting cases, worked examples, observational learning) that are usually too labour-intensive to produce at scale.

This shift—from “image generation as decoration” to “image generation as instructional scaffolding”—is what makes Nano Banana uniquely useful for the 10 evidence-based strategies below.

Celebrating International Day of Persons with Disabilities [Bersin]

On 12/03/2025, in Bias | Diversity Equity & Inclusion (DE&I), business, career development, corporate / business world, global / globalization, neurodivergent/special needs, skills, society, sociology, surviving, workplace, youth, by Daniel Christian

Celebrating International Day of Persons with Disabilities — from joshbersin.com by Josh Bersin

Today I want to celebrate the International Day of Persons with Disabilities, an important day that recognizes the needs of millions of people. My perspective, as a professional entering my later years, is that many of us are likely to have disabilities over time, so the more we understand the diversity of disabilities the better for everyone.

First, let me point out that this is a massive population. The US Department of Labor and Census estimates that 11-13% of the working age population has some form of disability (more on what that means below), yet only 5-6% of workers. This points out that the employment ratio (percent of people with jobs) is far lower. People with disabilities are one-third as likely to have a job, which is quite a disparity and loss of economic potential.

Second, people with disabilities suffer a 15% lower average wage.

Josh linked to the item below:

Celebrating International Day of persons with disabilities
International Day of Persons with Disabilities (IDPD) is a UN day that is celebrated every year on 3 December.

The day is about promoting the rights and well-being of persons with disabilities at every level of society and development, and to raise awareness of the situation of persons with disabilities in all aspects of political, social, economic, and cultural life. WHO joins the UN in observing this day each year, reinforcing the importance of securing the rights of people with disabilities, so they can participate fully, equally and effectively in society with others, and face no barriers in all aspects of their lives.

At its headquarters in Geneva, WHO organizes an annual IDPD event to educate the public, raise awareness, advocate for political will and resources, and celebrate WHO’s achievements. In 2022, the WHO launched the Global Report on health equity for persons with disabilities. This report sets forth the approaches and actions that countries can take to address the health inequities that persons with disabilities experience.

From DSC:
I just want to add that one of our daughters has some special needs. So Josh’s posting caught my eye. He’s right to point out these things. You and I will likely have a period of disability in our lives. It’s not just relevant for “other people.” (And by the way…in the learning world, practicing Universal Design for Learning (UDL) is good for everyone!)

People with disabilities face enormous challenges that neurotypical people never have to deal with. They face unfair wage situations and a lack of opportunities. Our family has experienced — and continues to experience — this firsthand.

So thanks Josh for your posting here.

Agents, robots, and us: Skill partnerships in the age of AI — from mckinsey.com by Lareina Yee, Anu Madgavkar, Sven Smit, Alexis Krivkovich, Michael Chui, María Jesús Ramírez, and Diego Castresana
AI is expanding the productivity frontier. Realizing its benefits requires new skills and rethinking how people work together with intelligent machines.

At a glance

Work in the future will be a partnership between people, agents, and robots—all powered by AI. …
Most human skills will endure, though they will be applied differently. …
Our new Skill Change Index shows which skills will be most and least exposed to automation in the next five years….
Demand for AI fluency—the ability to use and manage AI tools—has grown sevenfold in two years…
By 2030, about $2.9 trillion of economic value could be unlocked in the United States…

Also related/see:

The state of AI in 2025: Agents, innovation, and transformation — from mckinsey.com
Almost all survey respondents say their organizations are using AI, and many have begun to use AI agents. But most are still in the early stages of scaling AI and capturing enterprise-level value.

State of AI: December 2025 newsletter — from nathanbenaich.substack.com by Nathan Benaich
What you’ve got to know in AI from the last 4 weeks.

Welcome to the latest issue of the State of AI, an editorialized newsletter that covers the key developments in AI policy, research, industry, and start-ups over the last month.

Law Firm 2.0: A Trillion-Dollar Market Begins To Move — from abovethelaw.com by Ken Crutchfield
The test cases for Law Firm 2.0 are arriving faster than many expected.

A move to separate legal advice from other legal services that don’t require advice is a big shift that would ripple through established firms and also test regulatory boundaries.
…
The LegalTech Fund (TLTF) sees a $1 trillion opportunity to reinvent legal services through the convergence of technology, regulatory changes, and innovation. TLTF calls this movement Law Firm 2.0, and the fund believes a reinvention will pave the way for entirely new, tech-enabled models of legal service delivery.

From Paper to Platform: How LegalTech Is Revolutionizing the Practice of Law — from markets.financialcontent.com by AB Newswire

For decades, practicing law has been a business about paper — contracts, case files, court documents, and floor-to-ceiling piles of precedent. But as technology transforms all aspects of modern-day business, law firms and in-house legal teams are transforming along with it. The development of LegalTech has revolutionized what was previously a paper-driven, manpower-intensive profession into a data-driven digital web of collaboration and automation.

Conclusion: Building the Future of Law
The practice of law has always been about accuracy, precedent, and human beings. Technology doesn’t alter that — it magnifies it. The shift to the platform from paper is about liberating lawyers from back-office tasks so they can concentrate on strategy, advocacy, and creativity.

By coupling intelligent automation with moral obligation, today’s firms are positioning the legal profession for a more intelligent, responsive industry. LegalTech isn’t about automation, it’s about empowering attorneys to practice at the speed of today’s business.

What Legal Can Learn from Other Industries’ AI Transformations — from jdsupra.com

Artificial intelligence has already redefined how industries like finance, healthcare, and supply chain operate — transforming once-manual processes into predictive, data-driven engines of efficiency.

Yet the legal industry, while increasingly open to innovation, still lags behind its peers in adopting automation at scale. As corporate legal departments face mounting pressure to do more with less, they have an opportunity to learn from how other sectors successfully integrated AI into their operations.

The message is clear: AI transformation doesn’t just change workflows — it changes what’s possible.

7 Legal Tech Trends To Watch In 2026 — from lexology.com

Small Language Models Are Changing Legal Tech: What That Means for Lawyers and Law Firms — from community.nasscom.in

The legal profession is at a turning point. Artificial intelligence tools are moving from novelty to everyday utility, and small language models, or SLMs, are a major reason why. For law firms and in-house legal teams that are balancing client confidentiality, tight budgets, and the need to move faster, SLMs offer a practical, high impact way to bring legal AI into routine practice. This article explains what SLMs are, why they matter to lawyers, where they fit in legal workflows, and how to adopt them responsibly.

Legal AI startup draws new $50 million Blackstone investment, opens law firm — from reuters.com by Sara Merken

NEW YORK, Nov 20 (Reuters) – Asset manager Blackstone (BX.N), opens new tab has invested $50 million in Norm Ai, a legal and compliance technology startup that also said on Thursday that it is launching an independent law firm that will offer “AI-native legal services.”

Lawyers at the new New York-based firm, Norm Law LLP, will use Norm Ai’s artificial intelligence technology to do legal work for Blackstone and other financial services clients, said Norm Ai founder and CEO John Nay.

Law School Toolbox Podcast Episode 531: What Law Students Should Know About New Legal Tech (w/Gabe Teninbaum) — from jdsupra.com

Today, Alison and Gabe Teninbaum — law professor and creator of SpacedRepetition.com — discuss how technology is rapidly transforming the legal profession, emphasizing the importance for law students and lawyers to develop technological competence and adapt to new tools and roles in the legal profession.

New York is the San Francisco of legal tech — from businessinsider.com by Melia Russell

Legal tech ?? NYC.
To win the market, startups say they need to be where the law firms and corporate legal chiefs are.
Legora and Harvey are expanding their footprints in New York, as Clio hunts for office space.

Legal Tech Startups Expand in New York to Access Law Firms — from indexbox.io

Several legal technology startups are expanding their physical presence in New York City, according to a report from Legal tech NYC. The companies state that to win market share, they need to be located where major law firms and corporate legal departments are based.

Linklaters unveils 20-strong ‘AI lawyer’ team — from legalcheek.com by Legal Cheek

Magic Circle giant Linklaters has launched a team of 20 ‘AI Lawyers’ (yes, that is their actual job title) as it ramps up its commitment to artificial intelligence across its global offices.

The new cohort is a mix of external tech specialists and Linklaters lawyers who have decided to boost their legal expertise with advanced AI know-how. They will be placed into practice groups around the world to help build prompts, workflows and other tech driven processes that the firm hopes will sharpen client delivery.

I went to a closed-door retreat for top lawyers. The message was clear: Don’t fear AI — use it. — from businessinsider.com by Melia Russell

AI is making its mark on law firms and corporate legal teams.
Clients expect measurable savings, and firms are spending real money to deliver them.
At TLTF Summit, Big Law leaders and legal-tech builders explored the future of the industry.

From Cost Center to Command Center: The Future of Litigation is Being Built In-House — from law.stanford.edu by Adam Rouse, Tamra Moore, Renee Meisel, Kassi Burns, & Olga Mack

Litigation isn’t going away, but who leads, drafts, and drives it is rapidly changing. Empirical research shows corporate legal departments have steadily expanded litigation management functions over the past decade. (Annual Litigation Trends Survey, Norton Rose Fulbright (2025)).

For decades, litigation lived squarely in the law firm domain. (Wald, Eli, Getting in and Out of the House: Career Trajectories of In-House Lawyers, Fordham Law Review, Vol. 88, No. 1765, 2020 (June 22, 2020)). Corporate legal departments played a responsive role: approving strategies, reviewing documents, and paying hourly rates. But through dozens of recent conversations with in-house legal leaders, legal operations professionals, and litigation specialists, a new reality is emerging. One in which in-house counsel increasingly owns the first draft, systematizes their litigation approach, and reshapes how outside counsel fits into the picture.

AI, analytics, exemplar libraries, playbooks, and modular document builders are not simply tools. They are catalysts for a structural shift. Litigation is becoming modular, data-informed, and orchestrated by in-house teams who increasingly want more than cost control. They want consistency, clarity, and leverage. This piece outlines five major trends from our qualitative research, predictions on their impact to the practice of law, and research questions that are worth considering to further understand these trends. A model is then introduced for understanding how litigation workflows and outside counsel relationships will evolve in the coming years.

“The AI opportunity in L&D isn’t one thing – it’s five different capability unlocks.” [Vinauskaite] + other items re: AI in our LE’s

On 11/21/2025, in Artificial Intelligence/Agents/LLMs/and Related, business, cloud-based computing / apps / other cloud-related, colleges, community colleges, corporate / business world, corporate universities / corporate training, digital learning, emerging technologies, faculty/staff, game-changing environment, higher education, innovation, instructional design, learning agents, learning ecosystem, Learning Experience Design, memory, online learning, Open AI, pedagogy, platforms, productivity / tips and tricks, professional development, simulations, skills, student-related, teachers, teaching & learning, tools, training / L&D, United States, universities, workplace, by Daniel Christian

AI’s Role in Online Learning > Take It or Leave It with Michelle Beavers, Leo Lo, and Sara McClellan — from intentionalteaching.buzzsprout.com by Derek Bruff

You’ll hear me briefly describe five recent op-eds on teaching and learning in higher ed. For each op-ed, I’ll ask each of our panelists if they “take it,” that is, generally agree with the main thesis of the essay, or “leave it.” This is an artificial binary that I’ve found to generate rich discussion of the issues at hand.

“Textbooks are no longer one-size-fits-all” [Fitzpatrick] + other items re: AI in our learning ecosystems

On 11/18/2025, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, bots, change, changing business models, colleges, communities of practice, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital learning, education, education technology, emerging technologies, experimentation, faculty/staff, game-changing environment, generational differences, Google, higher education, human-computer interaction (HCI), innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, law schools, learner profiles, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, liberal arts, lifelong learning, Open AI, platforms, productivity / tips and tricks, student-related, teachers, teaching & learning, technologies for your home, training / L&D, trends, United States, universities, vendors, by Daniel Christian

Three Years from GPT-3 to Gemini 3 — from oneusefulthing.org by Ethan Mollick
From chatbots to agents

Three years ago, we were impressed that a machine could write a poem about otters. Less than 1,000 days later, I am debating statistical methodology with an agent that built its own research environment. The era of the chatbot is turning into the era of the digital coworker. To be very clear, Gemini 3 isn’t perfect, and it still needs a manager who can guide and check it. But it suggests that “human in the loop” is evolving from “human who fixes AI mistakes” to “human who directs AI work.” And that may be the biggest change since the release of ChatGPT.

Results May Vary — from aiedusimplified.substack.com by Lance Eaton, PhD
On Custom Instructions with GenAI Tools….

I’m sharing today about custom instructions and my use of them across several AI tools (paid versions of ChatGPT, Gemini, and Claude). I want to highlight what I’m doing, how it’s going, and solicit from readers to share in the comments some of their custom instructions that they find helpful.

I’ve been in a few conversations lately that remind me that not everyone knows about them, even some of the seasoned folks around GenAI and how you might set them up to better support your work. And, of course, they are, like all things GenAI, highly imperfect!

I’ll include and discuss each one below, but if you want to keep abreast of my custom instructions, I’ll be placing them here as I adjust and update them so folks can see the changes over time.

I analyzed 180M jobs to see what jobs AI is actually replacing today [Wing Chiu]

On 11/13/2025, in Artificial Intelligence/Agents/LLMs/and Related, career development, change, computer science, corporate / business world, leadership, marketing/social marketing, programming, trends, workplace, by Daniel Christian

I analyzed 180M jobs to see what jobs AI is actually replacing today — from bloomberry.com by Henley Wing Chiu; via Kim Isenberg

I analyzed nearly 180 million global job postings from January 2023 to October 2025, using data from Revealera, a provider of jobs data. While I acknowledge not all job postings result in a hire, and some are ‘ghost jobs’, since I was comparing the relative growth in job titles, this didn’t seem like a big issue to me.

I simply wanted to know which specific job titles declined or grew the most in 2025, compared to 2024. Because those were likely to be ones that AI is impacting the most.

Key Sections

Also from Kim Isenberg, see:

October Layoffs Were the Worst in 22 Years and Hit Tech Workers Hard — from gizmodo.com by Lucas Ropek
For coders, October royally sucked.

“ElevenLabs just launched a voice marketplace” + [GIFTED ARTICLE] “How people really use ChatGPT” + several other items re: AI in general

On 11/13/2025, in 21st century, 24x7x365 access, A/V -- audio/visual, Artificial Intelligence/Agents/LLMs/and Related, bots, computer science, content development, aggregation, repositories, corporate / business world, creativity, digital audio, emerging technologies, Emotion, engagement / engaging students, experimentation, global / globalization, history, human-computer interaction (HCI), innovation, media/film, platforms, play, productivity / tips and tricks, programming, society, story, storytelling, the downsides of how people use tech, tools, trends, United States, vendors, by Daniel Christian

ElevenLabs just launched a voice marketplace — from elevenlabs.io; via theaivalley.com

Via the AI Valley:

Why does it matter?
AI voice cloning has already flooded the internet with unauthorized imitations, blurring legal and ethical lines. By offering a dynamic, rights-secured platform, ElevenLabs aims to legitimize the booming AI voice industry and enable transparent, collaborative commercialization of iconic IP.
.

[GIFTED ARTICLE] How people really use ChatGPT, according to 47,000 conversations shared online — from by Gerrit De Vynck and Jeremy B. Merrill
What do people ask the popular chatbot? We analyzed thousands of chats to identify common topics discussed by users and patterns in ChatGPT’s responses.

.
Data released by OpenAI in September from an internal study of queries sent to ChatGPT showed that most are for personal use, not work.

Emotional conversations were also common in the conversations analyzed by The Post, and users often shared highly personal details about their lives. In some chats, the AI tool could be seen adapting to match a user’s viewpoint, creating a kind of personalized echo chamber in which ChatGPT endorsed falsehoods and conspiracy theories.

Lee Rainie, director of the Imagining the Digital Future Center at Elon University, said his own research has suggested ChatGPT’s design encourages people to form emotional attachments with the chatbot. “The optimization and incentives towards intimacy are very clear,” he said. “ChatGPT is trained to further or deepen the relationship.”

Per The Rundown: OpenAI just shared its view on AI progress, predicting systems will soon become smart enough to make discoveries and calling for global coordination on safety, oversight, and resilience as the technology nears superintelligent territory.

The details:

OpenAI said current AI systems already outperform top humans in complex intellectual tasks and are “80% of the way to an AI researcher.”
The company expects AI will make small scientific discoveries by 2026 and more significant breakthroughs by 2028, as intelligence costs fall 40x per year.
For superintelligent AI, OAI said work with governments and safety agencies will be essential to mitigate risks like bioterrorism or runaway self-improvement.
It also called for safety standards among top labs, a resilience ecosystem like cybersecurity, and ongoing tracking of AI’s real impact to inform public policy.

Why it matters: While the timeline remains unclear, OAI’s message shows that the world should start bracing for superintelligent AI with coordinated safety. The company is betting that collective safeguards will be the only way to manage risk from the next era of intelligence, which may diffuse in ways humanity has never seen before.

Which linked to:

AI progress and recommendations — from openai.com
AI is unlocking new knowledge and capabilities. Our responsibility is to guide that power toward broad, lasting benefit.

From DSC:
I hate to say this, but it seems like there is growing concern amongst those who have pushed very hard to release as much AI as possible — they are NOW worried. They NOW step back and see that there are many reasons to worry about how these technologies can be negatively used.

Where was this level of concern before (while they were racing ahead at 180 mph)? Surely, numerous and knowledgeable people inside those organizations warned them about the destructive/downside of these technologies. But their warnings were pretty much blown off (at least from my limited perspective).

The state of AI in 2025: Agents, innovation, and transformation — from mckinsey.com

Key findings

Most organizations are still in the experimentation or piloting phase: Nearly two-thirds of respondents say their organizations have not yet begun scaling AI across the enterprise.
High curiosity in AI agents: Sixty-two percent of survey respondents say their organizations are at least experimenting with AI agents.
Positive leading indicators on impact of AI: Respondents report use-case-level cost and revenue benefits, and 64 percent say that AI is enabling their innovation. However, just 39 percent report EBIT impact at the enterprise level.
High performers use AI to drive growth, innovation, and cost: Eighty percent of respondents say their companies set efficiency as an objective of their AI initiatives, but the companies seeing the most value from AI often set growth or innovation as additional objectives.
Redesigning workflows is a key success factor: Half of those AI high performers intend to use AI to transform their businesses, and most are redesigning workflows.
Differing perspectives on employment impact: Respondents vary in their expectations of AI’s impact on the overall workforce size of their organizations in the coming year: 32 percent expect decreases, 43 percent no change, and 13 percent increases.

Marble: A Multimodal World Model — from worldlabs.ai

Spatial intelligence is the next frontier in AI, demanding powerful world models to realize its full potential. World models should reconstruct, generate, and simulate 3D worlds; and allow both humans and agents to interact with them. Spatially intelligent world models will transform a wide variety of industries over the coming years.

Two months ago we shared a preview of Marble, our World Model that creates 3D worlds from image or text prompts. Since then, Marble has been available to an early set of beta users to create 3D worlds for themselves.

Today we are making Marble, a first-in-class generative multimodal world model, generally available for anyone to use. We have also drastically expanded Marble’s capabilities, and are excited to highlight them here:

How Coworking Spaces Are Becoming The Learning Ecosystems Of The Future — from hrfuture.net

What if your workspace helped you level up your career? Coworking spaces are becoming learning hubs where skills grow, ideas connect, and real-world education fits seamlessly into the workday.

Continuous learning has become a cornerstone of professional longevity, and flexible workspaces already encourage it through workshops, talks, and mentoring. Their true potential, however, may lie in becoming centers of industry-focused education that help professionals stay adaptable in a rapidly changing world of work.
.

.

What if forward-thinking workspaces and coworking centers became hubs of lifelong learning, integrating job-relevant training with accessible, real-world education?

For coworking operators, this raises important questions: Which types of learning thrive best in these environments, and how much do the design and layout of a space influence how people learn?

By exploring these questions and combining innovative programs with cutting-edge technology aligned to the future workforce, could coworking spaces ultimately become the classrooms of tomorrow?

A New AI Career Ladder — from ssir.org (Stanford Social Innovation Review) by Bruno V. Manno; via Matt Tower
The changing nature of jobs means workers need new education and training infrastructure to match.

AI has cannibalized the routine, low-risk work tasks that used to teach newcomers how to operate in complex organizations. Without those task rungs, the climb up the opportunity ladder into better employment options becomes steeper—and for many, impossible. This is not a temporary glitch. AI is reorganizing work, reshaping what knowledge and skills matter, and redefining how people are expected to acquire them.

The consequences ripple from individual career starts to the broader American promise of economic and social mobility, which includes both financial wealth and social wealth that comes from the networks and relationships we build. Yet the same technology that complicates the first job can help us reinvent how experience is earned, validated, and scaled. If we use AI to widen—not narrow—access to education, training, and proof of knowledge and skill, we can build a stronger career ladder to the middle class and beyond. A key part of doing this is a redesign of education, training, and hiring infrastructure.

…

What’s needed is a redesigned model that treats work as a primary venue for learning, validates capability with evidence, and helps people keep climbing after their first job. Here are ten design principles for a reinvented education and training infrastructure for the AI era.

Create hybrid institutions that erase boundaries. …
Make work-based learning the default, not the exception. …
Create skill adjacencies to speed transitions. …
Place performance-based hiring at the core. …
Ongoing supports and post-placement mobility. …
Portable, machine-readable credentials with proof attached. …
…plus several more…

From DSC:
One of my sisters shared this piece with me. She is very concerned about our society’s use of technology — whether it relates to our youth’s use of social media or the relentless pressure to be first in all things AI. As she was a teacher (at the middle school level) for 37 years, I greatly appreciate her viewpoints. She keeps me grounded in some of the negatives of technology. It’s important for us to listen to each other.

Nvidia becomes first $5 trillion company [Barsee]

On 10/30/2025, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, bots, business, computer science, corporate / business world, game-changing environment, generational differences, global / globalization, human-computer interaction (HCI), IT in HE, NVIDIA, Open AI, platforms, United States, vendors, by Daniel Christian

Nvidia becomes first $5 trillion company — from theaivallye.com by Barsee
PLUS: OpenAI IPO at $1 trillion valuation by late 2026 / early 2027

Nvidia has officially become the first company in history to cross the $5 trillion market cap, cementing its position as the undisputed leader of the AI era. Just three months ago, the chipmaker hit $4 trillion; it’s already added another trillion since.

Nvidia market cap milestones:

Jan 2020: $144 billion
May 2023: $1 trillion
Feb 2024: $2 trillion
Jun 2024: $3 trillion
Jul 2025: $4 trillion
Oct 2025: $5 trillion

The above posting linked to:

Nvidia becomes first public company worth $5 trillion — from techcrunch.com by Ivan Mehta
The biggest beneficiary of the ongoing AI boom, Nvidia has become the first public company to pass the $5 trillion market cap milestone.

Is An Internship In College More Important Than The Degree Itself? — from forbes.com by Brandon Busteed

While confidence in higher education has eroded and more Americans are questioning the importance of a degree, the demand for internships among college students is skyrocketing and the odds of getting an internship at a major company are now lower than getting into the Ivy League. This begs the question: are we at a point where an internship is as valuable – or perhaps more so – than a degree itself?

While concerns about degree ROI were on the rise, the value of internships and other work-integrated learning opportunities was becoming increasingly apparent. New research and analysis have shown us how valuable it is for a student to have an internship during college: it doubles the odds they have a good job waiting for them upon graduation and doubles their odds of being engaged in their work over their lifetime. Although there are some variations in those outcomes by choice of college or academic major, those variations pale in comparison to the impact of having an internship. In short, a collegiate internship experience is a more important indicator of these outcomes than alma mater or major.

Chegg CEO steps down amid major AI-driven restructure — from linkedin.com by Megan McDonough

Edtech firm Chegg confirmed Monday it is reducing its workforce by 45%, or 388 employees globally, and its chief executive officer is stepping down. Current CEO Nathan Schultz will be replaced effective immediately by executive chairman (and former CEO) Dan Rosensweig. The rise of AI-powered tools has dealt a massive blow to the online homework helper and led to “substantial” declines in revenue and traffic. Company shares have slipped over 10% this year. Chegg recently explored a possible sale, but ultimately decided to keep the company intact.

At the most recent NVIDIA GTC conference, held in Washington, D.C. in October 2025, CEO Jensen Huang announced major developments emphasizing the use of AI to “reindustrialize America”. This included new partnerships, expansion of the Blackwell architecture, and advancements in AI factories for robotics and science. The spring 2024 GTC conference, meanwhile, was headlined by the launch of the Blackwell GPU and significant updates to the Omniverse and robotics platforms.

During the keynote in D.C., Jensen Huang focused on American AI leadership and announced several key initiatives.

Massive Blackwell GPU deployments: The company announced an expansion of its Blackwell GPU architecture, which first launched in March 2024. Reportedly, the company has already shipped 6 million Blackwell chips, with orders for 14 million more by the end of 2025.
AI supercomputers for science: In partnership with the Department of Energy and Oracle, NVIDIA is building new AI supercomputers at Argonne National Laboratory. The largest, named “Solstice,” will deploy 100,000 Blackwell GPUs.
6G infrastructure: NVIDIA announced a partnership with Nokia to develop a U.S.-based, AI-native 6G technology stack.
AI factories for robotics: A new AI Factory Research Center in Virginia will use NVIDIA’s technology for building massive-scale data centers for AI.
Autonomous robotaxis: The company’s self-driving technology, already adopted by several carmakers, will be used by Uber for an autonomous fleet of 100,000 robotaxis starting in 2027.

Nvidia and Uber team up to develop network of self-driving cars — from finance.yahoo.com by Daniel Howley

Nvidia (NVDA) and Uber (UBER) on Tuesday revealed that they’re working to put together what they say will be the world’s largest network of Level 4-ready autonomous cars.

The duo will build out 100,000 vehicles beginning in 2027 using Nvidia’s Drive AGX Hyperion 10 platform and Drive AV software.

Nvidia stock hits all-time high, nears $5 trillion market cap after slew of updates at GTC event — from finance.yahoo.com by Daniel Howley

Nvidia (NVDA) stock on Tuesday rose 5% to close at a record high after the company announced a slew of product updates, partnerships, and investment initiatives at its GTC event in Washington, D.C., putting it on the doorstep of becoming the first company in history with a market value above $5 trillion.

The AI chip giant is approaching the threshold — settling at a market cap of $4.89 trillion on Tuesday — just months after becoming the first to close above $4 trillion in July.

Learning Ecosystems

Celebrating International Day of Persons with Disabilities [Bersin]

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