Artificial Intelligence/Agents/LLMs/and Related

AI and the Work of Centers for Teaching and Learning [Bruff]

On 01/23/2026, in adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, colleges, communities of practice, community colleges, content development, aggregation, repositories, digital learning, education technology, emerging technologies, faculty/staff, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, law schools, learning, learning agents, learning ecosystem, Learning Experience Design, learning spaces, liberal arts, library / librarians, pedagogy, productivity / tips and tricks, student-related, teaching & learning, United States, universities, vision/possibilities, by Daniel Christian

AI and the Work of Centers for Teaching and Learning — from derekbruff.org by Derek Bruff

Penelope Adams Moon suggested that instead [of] framing a workshop around “How can we integrate AI into the work of teaching?” we should ask “Given what we know about learning, how might AI be useful?” I love that reframing, and I think it connects to the students’ requests for more AI knowhow. Students have a lot of options for learning: working with their instructor, collaborating with peers, surfing YouTube for explainer videos, university-provided social annotation platforms, and, yes, using AI as a kind of tutor. I think our job (collectively) isn’t just to teach students how to use AI (as they’re requesting) but also to help them figure out when and how AI is helpful for their learning. That’s highly dependent on the student and the learning task! I wrote about this kind of metacognition on my blog.

In the same way, when I approach any kind of educational technology, I’m looking for tools that can be responsive to my pedagogical aims. The pedagogy should drive the technology use, not the other way around.

How to Design with AI in 2026 (based on the most compelling research published in 2025). — from linkedin.com by Dr. Philippa Hardman

What’s Happening to Jobs for New Grads — from linkedin.com by Jeff Selingo

No matter where you go to college, the job market math for new graduates is grim right now, as I write in a new article out yesterday in New York magazine.

There were 15% fewer entry-level and internship job postings in 2025 than the year before, according to Handshake, a job-search platform popular with college students; meanwhile, applications per posting rose 26%.

How much AI is to blame for the fragile entry-level job market is unclear. Several research studies show AI is hitting young college-educated workers disproportionately, but broader economic forces are part of the story, too.

As Christine Y. Cruzvergara, Handshake’s chief education strategy officer, told me, AI isn’t “taking” jobs so much as employers are “choosing” to replace parts of jobs with automation rather than redesign roles around workers. “They’re replacing people instead of enabling their workforce,” she said.

Today’s graduates are stuck in an in-between moment. Many started college before AI mattered and graduated into a labor market reshaped almost overnight, where entry-level roles are disappearing faster than students can adapt.

Several resources from Paul Fain re: how AI is impacting the workplace

On 01/22/2026, in 21st century, 24x7x365 access, adult learning, Artificial Intelligence/Agents/LLMs/and Related, business, change, changing business models, cloud-based computing / apps / other cloud-related, colleges, community colleges, corporate / business world, corporate universities / corporate training, digital learning, education technology, emerging technologies, experimentation, faculty/staff, future, future of higher education, game-changing environment, generational differences, global / globalization, higher education, human-computer interaction (HCI), intelligent systems, leadership, lifelong learning, platforms, productivity / tips and tricks, research, skills, society, sociology, student-related, training / L&D, trends, United States, universities, vendors, vocational / trades, workplace, youth, by Daniel Christian

The following resources were mentioned in Paul Fain’s posting entitled, “High Demand, Low Wage“ — from the-job.beehiiv.com by Paul Fain

AI And Automation Will Take 6% Of US Jobs By 2030 — from forrester.com by J.P. Gownder
Measuring US workers’ capacity to adapt to AI-driven job displacement — from brookings.edu by Sam Manning, Tomás Aguirre, Mark Muro, and Shriya Methkupally
Anthropic Economic Index report: economic primitives — from anthropic.com

AI Is Quietly Rewiring the ADDIE Model (In a Good Way) [Hardman] + Generative AI for Course Design: Writing Effective Prompts for Multiple Choice Question Development [Najafi]

On 01/20/2026, in Artificial Intelligence/Agents/LLMs/and Related, assessment, bots, colleges, communities of practice, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital learning, education technology, emerging technologies, experimentation, faculty/staff, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, IT in HE, law schools, learning, learning agents, learning ecosystem, Learning Experience Design, learning theories, liberal arts, Michigan, online learning, pedagogy, productivity / tips and tricks, teaching & learning, training / L&D, United States, universities, workplace, by Daniel Christian

AI Is Quietly Rewiring the ADDIE Model (In a Good Way) — from drphilippahardman.substack.com by Dr. Philippa Hardman
The traditional ADDIE workflow isn’t dead, but it is evolving

The real story isn’t what AI can produce — it’s how it changes the decisions we make at every stage of instructional design.

After working with thousands of instructional designers on my bootcamp, I’ve learned something counterintuitive: the best teams aren’t the ones with the fanciest AI tools — they’re the ones who know when to use which mode—and when to use none at all.

Once you recognise that, you start to see instructional design differently — not as a linear process, but as a series of decision loops where AI plays distinct roles.

In this post, I show you the 3 modes of AI that actually matter in instructional design — and map them across every phase of ADDIE so you know exactly when to let AI run, and when to slow down and think.

Also see:

Generative AI for Course Design: Writing Effective Prompts for Multiple Choice Question Development — from onlineteaching.umich.edu by Hedieh Najafi

In higher education, developing strong multiple-choice questions can be a time-intensive part of the course design process. Developing such items requires subject-matter expertise and assessment literacy, and for faculty and designers who are creating and producing online courses, it can be difficult to find the capacity to craft quality multiple-choice questions.

At the University of Michigan Center for Academic Innovation, learning experience designers are using generative artificial intelligence to streamline the multiple-choice question development process and help ameliorate this issue. In this article, I summarize one of our projects that explored effective prompting strategies to develop multiple-choice questions with ChatGPT for our open course portfolio. We examined how structured prompting can improve the quality of AI-generated assessments, producing relevant comprehension and recall items and options that include plausible distractors.

Achieving this goal enables us to develop several ungraded practice opportunities, preparing learners for their graded assessments while also freeing up more time for course instructors and designers.

What AI-Generated Voice Technology Means For Creators And Brands — from bitrebels.com by Ryan Mitchell

Voice has become one of the most influential elements in how digital content is experienced. From podcasts and videos to apps, ads, and interactive platforms, spoken audio shapes how messages are understood and remembered. In recent years, the rise of the ai voice generator has changed how creators and brands approach audio production, lowering barriers while expanding creative possibilities.

Rather than relying exclusively on traditional voice recording, many teams now use AI-generated voices as part of their content and brand strategies. This shift is not simply about efficiency; it reflects broader changes in how digital experiences are produced, scaled, and personalised.

The Future Role Of AI-Generated Voice
As AI voice technology continues to improve, its role in creative and brand workflows will likely expand. Future developments may include more adaptive voices that respond to context, audience behaviour, or emotional cues in real time. Rather than replacing traditional voice work, AI-generated voice is becoming another option in a broader creative toolkit, one that offers speed, flexibility, and accessibility.

Nvidia, Eli Lilly announce $1 billion investment in AI drug discovery lab [Bratton]

On 01/12/2026, in Artificial Intelligence/Agents/LLMs/and Related, biology, business, collaboration, corporate / business world, health, NVIDIA, platforms, research, science, United States, vendors, vision/possibilities, by Daniel Christian

Nvidia, Eli Lilly announce $1 billion investment in AI drug discovery lab — from finance.yahoo.com by Laura Bratton

AI chipmaker Nvidia (NVDA) and pharmaceutical giant Eli Lilly (LLY) on Monday announced that the two companies would jointly invest $1 billion to create a lab in San Francisco focused on using AI to accelerate drug discovery.
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The $1 billion investment will be spent over five years on infrastructure, compute, and talent for the lab. Nvidia’s engineers will work alongside Lilly’s experts in biology, science, and medicine to generate large-scale data and build AI models to advance medicine development. The lab’s work will begin early this year, the companies said.

Shoppers will soon be able to make purchases directly through Google’s Gemini app and browser.

Google and Walmart Join Forces to Shape the Future of Retail — from adweek.com by Lauren Johnson
At NRF, Sundar Pichai and John Furner revealed how AI and drones will shape shopping in 2026 and beyond

One of the biggest reveals is that shoppers will be able to purchase Walmart and Sam’s Club products through Google’s AI chatbot Gemini.

There are two ways instructional designers are using AI. The first is obvious. The second is a superpower. [Hardman]

On 01/07/2026, in Artificial Intelligence/Agents/LLMs/and Related, content development, aggregation, repositories, corporate universities / corporate training, experimentation, human-computer interaction (HCI), ideas, instructional design, intelligent systems, learning ecosystem, Learning Experience Design, productivity / tips and tricks, training / L&D, workplace, by Daniel Christian

There are two ways instructional designers are using AI. The first is obvious. The second is a superpower. — from linkedin.com by Dr Philippa Hardman

For other L&D related items, see the following items from the Learning Guild:

Your Past Skills Are Your L&D Superpower — by Armando Contreraz
AI Is Not the Answer to Everything in L&D — by Peter Lazaro
AI Clarity: 4 Mindset Shifts Learning Leaders Need Before Building an AI Strategy — by Peter Lazaro

Reflecting on Education in 2025 [Dr. Rachelle Dené Poth]

On 01/06/2026, in Artificial Intelligence/Agents/LLMs/and Related, bots, education, education reform, ideas, K-12 related, student-related, teachers, trends, United States, by Daniel Christian

Reflecting on Education in 2025 — from by Dr. Rachelle Dené Poth

Educators have become more discerning about initiatives to invest in, tools to explore, and expectations to set. The question “Can we do this?” shifted to “Should we do this? And “Why?” Which then led to the “How” part.

This shift showed up in conversations around curriculum, assessment, technology use, and student well-being. Schools began reducing or being more selective rather than layering, which helped educators to adjust better to change. Leaders focused more on coherence instead of compliance. And in some conversations I had or articles I read, I noticed respectful pushback on practices that added complexity without improving learning.

I think this is why the recalibration mattered.

AI has become less about “cheating” and more about helping students and others learn how to think, evaluate, and create responsibly in an AI-infused world.
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Educators have become more discerning about initiatives to invest in, tools to explore, and expectations to set. The question “Can we do this?” shifted to “Should we do this? And “Why?” Which then led to the “How” part.

At CES 2026, Everything Is AI. What Matters Is How You Use It — from wired.com by Boone Ashworth
Integrated chatbots and built-in machine intelligence are no longer standout features in consumer tech. If companies want to win in the AI era, they’ve got to hone the user experience.

Beyond Wearables
Right now, AI is on your face and arms—smart glasses and smart watches—but this year will see it proliferate further into products like earbuds, headphones, and smart clothing.

Health tech will see an influx of AI features too, as companies aim to use AI to monitor biometric data from wearables like rings and wristbands. Heath sensors will also continue to show up in newer places like toilets, bath mats, and brassieres.

The smart home will continue to be bolstered by machine intelligence, with more products that can listen, see, and understand what’s happening in your living space. Familiar candidates for AI-powered upgrades like smart vacuums and security cameras will be joined by surprising AI bedfellows like refrigerators and garage door openers.

Along these lines, see
live updates from CNET here.

ChatGPT is overrated. Here’s what to use instead. — from washingtonpost.com by Geoffrey A. Fowler
When I want help from AI, ChatGPT is no longer my default first stop.

I can tell you which AI tools are worth using — and which to avoid — because I’ve been running a chatbot fight club.

I conducted dozens of bot challenges based on real things people do with AI, including writing breakup texts and work emails, decoding legal contracts and scientific research, answering tricky research questions, and editing photos and making “art.” Human experts including best-selling authors, reference librarians, a renowned scientist and even a Pulitzer Prize-winning photographer judged the results.

After a year of bot battles, one thing stands out: There is no single best AI. The smartest way to use chatbots today is to pick different tools for different jobs — and not assume one bot can do it all.

How Collaborative AI Agents Are Shaping the Future of Autonomous IT — from aijourn.com by Michael Nappi

Some enterprise platforms now support cross-agent communication and integration with ecosystems maintained by companies like Microsoft, NVIDIA, Google, and Oracle. These cross-platform data fabrics break down silos and turn isolated AI pilots into enterprise-wide services. The result is an IT backbone that not only automates but also collaborates for continuous learning, diagnostics, and system optimization in real time.

Nvidia dominated the headlines in 2025 — these were its 15 biggest events of the year — from finance.yahoo.com by Daniel Howley

It’s difficult to think of any single company that had a bigger impact on Wall Street and the AI trade in 2025 than Nvidia (NVDA).
…
Nvidia’s revenue soared in 2025, bringing in $187.1 billion, and its market capitalization continued to climb, briefly eclipsing the $5 trillion mark before settling back in the $4 trillion range.

There were plenty of major highs and deep lows throughout the year, but these 15 were among the biggest moments of Nvidia’s 2025.

How Your Learners Actually Learn with AI [Hardman] + another item re: AI in our learning ecosystems

On 12/22/2025, in 21st century, 24x7x365 access, adjunct faculty, adult learning, Artificial Intelligence/Agents/LLMs/and Related, bots, cloud-based computing / apps / other cloud-related, colleges, communities of practice, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital learning, education, education technology, emerging technologies, experimentation, faculty/staff, future of higher education, game-changing environment, generational differences, higher education, 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, liberal arts, library / librarians, Microsoft, personalized/customized learning, platforms, productivity / tips and tricks, research, skills, student-related, teachers, teaching & learning, technologies for your home, tools, trends, United States, universities, vendors, workplace, youth, by Daniel Christian

How Your Learners *Actually* Learn with AI — from drphilippahardman.substack.com by Dr. Philippa Hardman
What 37.5 million AI chats show us about how learners use AI at the end of 2025 — and what this means for how we design & deliver learning experiences in 2026

Last week, Microsoft released a similar analysis of a whopping 37.5 million Copilot conversations. These conversation took place on the platform from January to September 2025, providing us with a window into if and how AI use in general — and AI use among learners specifically – has evolved in 2025.

Microsoft’s mass behavioural data gives us a detailed, global glimpse into what learners are actually doing across devices, times of day and contexts. The picture that emerges is pretty clear and largely consistent with what OpenAI’s told us back in the summer:

AI isn’t functioning primarily as an “answers machine”: the majority of us use AI as a tool to personalise and differentiate generic learning experiences and – ultimately – to augment human learning.

Let’s dive in!

Learners don’t “decide” to use AI anymore. They assume it’s there, like search, like spellcheck, like calculators. The question has shifted from “should I use this?” to “how do I use this effectively?”

8 AI Agents Every HR Leader Needs To Know In 2026 — from forbes.com by Bernard Marr

So where do you start? There are many agentic tools and platforms for AI tasks on the market, and the most effective approach is to focus on practical, high-impact workflows. So here, I’ll look at some of the most compelling use cases, as well as provide an overview of the tools that can help you quickly deliver tangible wins.
…
Some of the strongest opportunities in HR include:

Workforce management, administering job satisfaction surveys, monitoring and tracking performance targets, scheduling interventions, and managing staff benefits, medical leave, and holiday entitlement.
Recruitment screening, automatically generating and posting job descriptions, filtering candidates, ranking applicants against defined criteria, identifying the strongest matches, and scheduling interviews.
Employee onboarding, issuing new hires with contracts and paperwork, guiding them to onboarding and training resources, tracking compliance and completion rates, answering routine enquiries, and escalating complex cases to human HR specialists.
Training and development, identifying skills gaps, providing self-service access to upskilling and reskilling opportunities, creating personalized learning pathways aligned with roles and career goals, and tracking progress toward completion.

25 Big Ideas that will define 2026 [LinkedIn News]

On 12/22/2025, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, Blockchain, bots, business, changing business models, content development, aggregation, repositories, corporate / business world, health, ideas, legislatures / government / legal, social media, workplace, by Daniel Christian

25 Big Ideas that will define 2026 — from linkedin.com by LinkedIn News
This year’s predictions capture a world in flux, where technology and humanity will press closer than ever, fueling new opportunities and tensions.

Blockchain: Blockchain technology will create new ways for creators to keep more of their revenue by enabling them to host their own content, bypassing traditional social media platforms that take a cut of their earnings.

3.AI: Artificial intelligence will enhance creators’ ability to scale their personal brands exponentially — producing more content, creating virtual influencers and expanding reach in ways we’ve never seen.
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Laws around artificial intelligence in mental health care are set to change dramatically in 2026, in the wake of lawsuits alleging harm or “psychosis” linked to AI tools. After years of rapid adoption — and little oversight — regulators will move to treat therapy chatbots more like medical devices than lifestyle apps.
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Small businesses — which make up 90% of companies globally — will be the top destination for young jobseekers in 2026.
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Generative engine optimization (GEO) is set to replace search engine optimization (SEO) as the way brands get discovered in the year ahead. As consumers turn to AI chatbots, agentic workflows and answer engines, appearing prominently in generative outputs will matter more than ranking in search engines.

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