The Learning & Development Global Sentiment Survey 2025 — from donaldhtaylor.co.uk by Don Taylor

The L&D Global Sentiment Survey, now in its 12th year, once again asked two key questions of L&D professionals worldwide:

  • What will be hot in workplace learning in 2025?
  • What are your L&D challenges in 2025?

For the obligatory question on what they considered ‘hot’ topics, respondents voted for one to three of 15 suggested options, plus a free text ‘Other’ option. Over 3,000 voters participated from nearly 100 countries. 85% shared their challenges for 2025.

The results show more interest in AI, a renewed focus on showing the value of L&D, and some signs of greater maturity around our understanding of AI in L&D.


 

AI in K12: Today’s Breakthroughs and Tomorrow’s Possibilities (webinar)
How AI is Transforming Classrooms Today and What’s Next


Audio-Based Learning 4.0 — from drphilippahardman.substack.com by Dr. Philippa Hardman
A new & powerful way to leverage AI for learning?

At the end of all of this my reflection is that the research paints a pretty exciting picture – audio-based learning isn’t just effective, it’s got some unique superpowers when it comes to boosting comprehension, ramping up engagement, and delivering feedback that really connects with learners.

While audio has been massively under-used as a mode of learning, especially compared to video and text, we’re at an interesting turning point where AI tools are making it easier than ever to tap into audio’s potential as a pedagogical tool.

What’s super interesting is how the solid research backing audio’s effectiveness is and how well this is converging with these new AI capabilities.

From DSC:
I’ve noticed that I don’t learn as well via audio-only based events. It can help if visuals are also provided, but I have to watch the cognitive loads. My processing can start to get overloaded — to the point that I have to close my eyes and just listen sometimes. But there are people I know who love to listen to audiobooks and prefer to learn that way. They can devour content and process/remember it all. Audio is a nice change of pace at times, but I prefer visuals and reading often times. It needs to be absolutely quiet if I’m tackling some new information/learning. 


In Conversation With… Ashton Cousineau — from drphilippahardman.substack.com by Dr. Philippa Hardman
A new video series exploring how L&D professionals are working with AI on the ground

In Conversation With… Ashton Cousineau by Dr Philippa Hardman

A new video series exploring how L&D professionals are working with AI on the ground

Read on Substack


The Learning Research Digest vol. 28 — from learningsciencedigest.substack.com by Dr. Philippa Hardman

Hot Off the Research Press This Month:

  • AI-Infused Learning Design – A structured approach to AI-enhanced assignments using a three-step model for AI integration.
  • Mathematical Dance and Creativity in STEAM – Using AI-powered motion capture to translate dance movements into mathematical models.
  • AI-Generated Instructional Videos – How adaptive AI-powered video learning enhances problem-solving and knowledge retention.
  • Immersive Language Learning with XR & AI – A new framework for integrating AI-driven conversational agents with Extended Reality (XR) for task-based language learning.
  • Decision-Making in Learning Design – A scoping review on how instructional designers navigate complex instructional choices and make data-driven decisions.
  • Interactive E-Books and Engagement – Examining the impact of interactive digital books on student motivation, comprehension, and cognitive engagement.
  • Elevating Practitioner Voices in Instructional Design – A new initiative to amplify instructional designers’ contributions to research and innovation.

Deep Reasoning, Agentic AI & the Continued Rise of Specialised AI Research & Tools for Education — from learningfuturesdigest.substack.com by Dr. Philippa Hardman

Here’s a quick teaser of key developments in the world of AI & learning this month:

  • DeepSeek R-1, OpenAI’s Deep Seek & Perplexity’s ‘Deep Research’ are the latest additions to a growing number of “reasoning models” with interesting implications for evidence-based learning design & development.
  • The U.S. Education Dept release an AI Toolkit and a fresh policy roadmap enabling the adoption of AI use in schools.
  • Anthropic Release “Agentic Claude”, another AI agent that clicks, scrolls, and can even successfully complete e-learning courses…
  • Oxford University Announce the AIEOU Hub, a research-backed research lab to support research and implementation on AI in education.
  • “AI Agents Everywhere”: A Forbes peek at how agentic AI will handle the “boring bits” of classroom life.
  • [Bias klaxon!] Epiphany AI: My own research leads to the creation of a specialised, “pedagogy first” AI co-pilot for instructional design marking the continued growth of specialised AI tools designed for specific industries and workflows.

AI is the Perfect Teaching Assistant for Any Educator — from unite.ai by Navi Azaria, CPO at Kaltura

Through my work with leading educational institutions at Kaltura, I’ve seen firsthand how AI agents are rapidly becoming indispensable. These agents alleviate the mounting burdens on educators and provide new generations of tech-savvy students with accessible, personalized learning, giving teachers the support they need to give their students the personalized attention and engagement they deserve.


Learning HQ — from ai-disruptor-hq.notion.site

This HQ includes all of my AI guides, organized by tool/platform. This list is updated each time a new one is released, and outdated guides are removed/replaced over time.



How AI Is Reshaping Teachers’ Jobs — from edweek.org

Artificial intelligence is poised to fundamentally change the job of teaching. AI-powered tools can shave hours off the amount of time teachers spend grading, lesson-planning, and creating materials. AI can also enrich the lessons they deliver in the classroom and help them meet the varied needs of all students. And it can even help bolster teachers’ own professional growth and development.

Despite all the promise of AI, though, experts still urge caution as the technology continues to evolve. Ethical questions and practical concerns are bubbling to the surface, and not all teachers feel prepared to effectively and safely use AI.

In this special report, see how early-adopter teachers are using AI tools to transform their daily work, tackle some of the roadblocks to expanded use of the technology, and understand what’s on the horizon for the teaching profession in the age of artificial intelligence.

 

2025 EDUCAUSE AI Landscape Study: Into the Digital AI Divide — from library.educause.edu

The higher education community continues to grapple with questions related to using artificial intelligence (AI) in learning and work. In support of these efforts, we present the 2025 EDUCAUSE AI Landscape Study, summarizing our community’s sentiments and experiences related to strategy and leadership, policies and guidelines, use cases, the higher education workforce, and the institutional digital divide.

 

Half A Million Students Given ChatGPT As CSU System Makes AI History — from forbes.com by Dan Fitzpatrick

The California State University system has partnered with OpenAI to launch the largest deployment of AI in higher education to date.

The CSU system, which serves nearly 500,000 students across 23 campuses, has announced plans to integrate ChatGPT Edu, an education-focused version of OpenAI’s chatbot, into its curriculum and operations. The rollout, which includes tens of thousands of faculty and staff, represents the most significant AI deployment within a single educational institution globally.

We’re still in the early stages of AI adoption in education, and it is critical that the entire ecosystem—education systems, technologists, educators, and governments—work together to ensure that all students globally have access to AI and develop the skills to use it responsibly

Leah Belsky, VP and general manager of education at OpenAI.




HOW educators can use GenAI – where to start and how to progress — from aliciabankhofer.substack.com by Alicia Bankhofer
Part of 3 of my series: Teaching and Learning in the AI Age

As you read through these use cases, you’ll notice that each one addresses multiple tasks from our list above.

1. Researching a topic for a lesson
2. Creating Tasks For Practice
3. Creating Sample Answers
4. Generating Ideas
5. Designing Lesson Plans
6. Creating Tests
7. Using AI in Virtual Classrooms
8. Creating Images
9. Creating worksheets
10. Correcting and Feedback


 

How to Make Learning as Addictive as Social Media | Duolingo’s Luis Von Ahn | TED — from youtube.com; via Kamil Banc at AI Adopter

When technologist Luis von Ahn was building the popular language-learning platform Duolingo, he faced a big problem: Could an app designed to teach you something ever compete with addictive platforms like Instagram and TikTok? He explains how Duolingo harnesses the psychological techniques of social media and mobile games to get you excited to learn — all while spreading access to education across the world.
.

 

Eight Legal Tech Trends Set To Impact Law Firms In 2025 — from forbes.com by Daniel Farrar

Trends To Watch This Year

1. A Focus On Client Experience And Technology-Driven Client Services
2. Evolution Of Pricing Models In Legal Services
3. Cloud Computing, Remote Work, Globalization And Cross-Border Legal Services
4. Legal Analytics And Data-Driven Decision Making
5. Automation Of Routine Legal Tasks
6. Integration Of Artificial Intelligence
7. AI In Mergers And Acquisitions
8. Cybersecurity And Data Privacy


The Future of Legal Tech Jobs: Trends, Opportunities, and Skills for 2025 and Beyond — from jdjournal.com by Maria Lenin Laus

This guide explores the top legal tech jobs in demand, key skills for success, hiring trends, and future predictionsfor the legal industry. Whether you’re a lawyer, law student, IT professional, or business leader, this article will help you navigate the shifting terrain of legal tech careers.

Top Legal Tech Hiring Trends for 2025

1. Law Firms Are Prioritizing Tech Skills
Over 65% of law firms are hiring legal tech experts over traditional attorneys.
AI implementation, automation, and analytics skills are now must-haves.
2. In-House Legal Teams Are Expanding Legal Tech Roles
77% of corporate legal teams say tech expertise is now mandatory.
More companies are investing in contract automation and legal AI tools.
3. Law Schools Are Adding Legal Tech Courses
Institutions like Harvard and Stanford now offer AI and legal tech curriculums.
Graduates with legal tech skills gain a competitive advantage.


Legal tech predictions for 2025: What’s next in legal innovation? — from jdsupra.com

  1. Collaboration tools reshape communication and documentation
  2. From chatbots to ‘AI agents’: The next evolution
  3. Governance AI frameworks take center stage
  4. Local governments drive AI accountability
  5. Continuous growing legal fees and ROI become a primary focus

Meet Ivo, The Legal AI That Will Review Your Contracts — from forbes.com by David Prosser

Contract reviews and negotiations are the bread-and-butter work of many corporate lawyers, but artificial intelligence (AI) promises to transform every aspect of the legal profession. Legaltech start-up Ivo, which is today announcing a $16 million Series A funding round, wants to make manual contract work a thing of the past.

“We help in-house legal teams to red-line and negotiate contract agreements more quickly and easily,” explains Min-Kyu Jung, CEO and co-founder of Ivo. “It’s a challenge that couldn’t be solved well by AI until relatively recently, but the evolution of generative AI has made it possible.”


A&O Shearman, Cooley Leading Legal Tech Investment at Law Firms — from news.bloomberglaw.com by Evan Ochsner

  • Leading firms are investing their own resources in legal tech
  • Firms seek to tailor tech development to specific functions
 

DeepSeek: How China’s AI Breakthrough Could Revolutionize Educational Technology — from nickpotkalitsky.substack.com by Nick Potkalitsky
Can DeepSeek’s 90% efficiency boost make AI accessible to every school?

The most revolutionary aspect of DeepSeek for education isn’t just its cost—it’s the combination of open-source accessibility and local deployment capabilities. As Azeem Azhar notes, “R-1 is open-source. Anyone can download and run it on their own hardware. I have R1-8b (the second smallest model) running on my Mac Mini at home.”

Real-time Learning Enhancement

  • AI tutoring networks that collaborate to optimize individual learning paths
  • Immediate, multi-perspective feedback on student work
  • Continuous assessment and curriculum adaptation

The question isn’t whether this technology will transform education—it’s how quickly institutions can adapt to a world where advanced AI capabilities are finally within reach of every classroom.


Over 100 AI Tools for Teachers — from educatorstechnology.com by Med Kharbach, PhD

I know through your feedback on my social media and blog posts that several of you have legitimate concerns about the impact of AI in education, especially those related to data privacy, academic dishonesty, AI dependence, loss of creativity and critical thinking, plagiarism, to mention a few. While these concerns are valid and deserve careful consideration, it’s also important to explore the potential benefits AI can bring when used thoughtfully.

Tools such as ChatGPT and Claude are like smart research assistants that are available 24/7 to support you with all kinds of tasks from drafting detailed lesson plans, creating differentiated materials, generating classroom activities, to summarizing and simplifying complex topics. Likewise, students can use them to enhance their learning by, for instance, brainstorming ideas for research projects, generating constructive feedback on assignments, practicing problem-solving in a guided way, and much more.

The point here is that AI is here to stay and expand, and we better learn how to use it thoughtfully and responsibly rather than avoid it out of fear or skepticism.


Beth’s posting links to:

 


Derek’s posting on LinkedIn


From Theory to Practice: How Generative AI is Redefining Instructional Materials — from edtechinsiders.substack.com by Alex Sarlin
Top trends and insights from The Edtech Insiders Generative AI Map research process about how Generative AI is transforming Instructional Materials

As part of our updates to the Edtech Insiders Generative AI Map, we’re excited to release a new mini market map and article deep dive on Generative AI tools that are specifically designed for Instructional Materials use cases.

In our database, the Instructional Materials use case category encompasses tools that:

  • Assist educators by streamlining lesson planning, curriculum development, and content customization
  • Enable educators or students to transform materials into alternative formats, such as videos, podcasts, or other interactive media, in addition to leveraging gaming principles or immersive VR to enhance engagement
  • Empower educators or students to transform text, video, slides or other source material into study aids like study guides, flashcards, practice tests, or graphic organizers
  • Engage students through interactive lessons featuring historical figures, authors, or fictional characters
  • Customize curriculum to individual needs or pedagogical approaches
  • Empower educators or students to quickly create online learning assets and courses

On a somewhat-related note, also see:


 

Four objectives to guide artificial intelligence’s impact on higher education — from timeshighereducation.com by Susan C. Aldridge
How can higher education leaders manage both the challenge and the opportunity artificial intelligence presents? Here are four objectives to guide the way

That’s why, today, the question I’m asking is: How best can we proactively guide AI’s use in higher education and shape its impact on our students, faculty and institution? The answer to that broad, strategic question lies in pursuing four objectives that, I believe, are relevant for many colleges and universities.


In This Week’s Gap Letter — by Ryan Craig

Learning to use business software is different from learning to think. But if the software is sufficiently complex, how different is it really? What if AI’s primary impact on education isn’t in the classroom, but rather shifting the locus of learning to outside the classroom?

Instead of sitting in a classroom listening to a teacher, high school and college students could be assigned real work and learn from that work. Students could be matched with employers or specific projects provided by or derived from employers, then do the work on the same software used in the enterprise. As AI-powered digital adoption platforms (DAPs) become increasingly powerful, they have the potential to transform real or simulated work into educational best practice for students only a few years away from seeking full-time employment.

If DAPs take us in this direction, four implications come to mind….


The Impact of Gen AI on Human Learning: a research summary — from drphilippahardman.substack.com by  Dr. Philippa Hardman
A literature review of the most recent & important peer-reviewed studies

In this week’s blog post, I share a summary of five recent studies on the impact of Gen AI on learning to bring you right up to date.

Implications for Educators and Developers

For Educators:

  • Combine ChatGPT with Structured Activities: …
  • Use ChatGPT as a Supplement, Not a Replacement:…
  • Promote Self-Reflection and Evaluation:

For Developers:

  • Reimagine AI for Reflection-First Design: …
  • Develop Tools that Foster Critical Thinking: …
  • Integrate Adaptive Support: …

Assessing the GenAI process, not the output — from timeshighereducation.com by Paul McDermott, Leoni Palmer, and Rosemary Norton
A framework for building AI literacy in a literature-review-type assessment

In this resource, we outline our advice for implementing an approach that opens AI use up to our students through a strategy of assessing the process rather than outputs.

To start with, we recommend identifying learning outcomes for your students that can be achieved in collaboration with AI.


What’s New: The Updated Edtech Insiders Generative AI Map — from edtechinsiders.substack.com by Sarah Morin, Alex Sarlin, and Ben Kornell
A major expansion on our previously released market map, use case database, and AI tool company directory.

.


Tutorial: 4 Ways to Use LearnLM as a Professor — from automatedteach.com by Graham Clay
Create better assessments, improve instructions and feedback, and tutor your students with this fine-tuned version of Gemini.

I cover how to use LearnLM

  • to create sophisticated assessments that promote learning
  • to develop clearer and more effective assignment instructions
  • to provide more constructive feedback on student work, and
  • to support student learning through guided tutoring
 

Your AI Writing Partner: The 30-Day Book Framework — from aidisruptor.ai by Alex McFarland and Kamil Banc
How to Turn Your “Someday” Manuscript into a “Shipped” Project Using AI-Powered Prompts

With that out of the way, I prefer Claude.ai for writing. For larger projects like a book, create a Claude Project to keep all context in one place.

  • Copy [the following] prompts into a document
  • Use them in sequence as you write
  • Adjust the word counts and specifics as needed
  • Keep your responses for reference
  • Use the same prompt template for similar sections to maintain consistency

Each prompt builds on the previous one, creating a systematic approach to helping you write your book.


Using NotebookLM to Boost College Reading Comprehension — from michellekassorla.substack.com by Michelle Kassorla and Eugenia Novokshanova
This semester, we are using NotebookLM to help our students comprehend and engage with scholarly texts

We were looking hard for a new tool when Google released NotebookLM. Not only does Google allow unfettered use of this amazing tool, it is also a much better tool for the work we require in our courses. So, this semester, we have scrapped our “old” tools and added NotebookLM as the primary tool for our English Composition II courses (and we hope, fervently, that Google won’t decide to severely limit its free tier before this semester ends!)

If you know next-to-nothing about NotebookLM, that’s OK. What follows is the specific lesson we present to our students. We hope this will help you understand all you need to know about NotebookLM, and how to successfully integrate the tool into your own teaching this semester.


Leadership & Generative AI: Hard-Earned Lessons That Matter — from jeppestricker.substack.com by Jeppe Klitgaard Stricker
Actionable Advice for Higher Education Leaders in 2025

AFTER two years of working closely with leadership in multiple institutions, and delivering countless workshops, I’ve seen one thing repeatedly: the biggest challenge isn’t the technology itself, but how we lead through it. Here is some of my best advice to help you navigate generative AI with clarity and confidence:

  1. Break your own AI policies before you implement them.
  2. Fund your failures.
  3. Resist the pilot program. …
  4. Host Anti-Tech Tech Talks
  5. …+ several more tips

While generative AI in higher education obviously involves new technology, it’s much more about adopting a curious and human-centric approach in your institution and communities. It’s about empowering learners in new, human-oriented and innovative ways. It is, in a nutshell, about people adapting to new ways of doing things.



Maria Anderson responded to Clay’s posting with this idea:

Here’s an idea: […] the teacher can use the [most advanced] AI tool to generate a complete solution to “the problem” — whatever that is — and demonstrate how to do that in class. Give all the students access to the document with the results.

And then grade the students on a comprehensive followup activity / presentation of executing that solution (no notes, no more than 10 words on a slide). So the students all have access to the same deep AI result, but have to show they comprehend and can iterate on that result.



Grammarly just made it easier to prove the sources of your text in Google Docs — from zdnet.com by Jack Wallen
If you want to be diligent about proving your sources within Google Documents, Grammarly has a new feature you’ll want to use.

In this age of distrust, misinformation, and skepticism, you may wonder how to demonstrate your sources within a Google Document. Did you type it yourself, copy and paste it from a browser-based source, copy and paste it from an unknown source, or did it come from generative AI?

You may not think this is an important clarification, but if writing is a critical part of your livelihood or life, you will definitely want to demonstrate your sources.

That’s where the new Grammarly feature comes in.

The new feature is called Authorship, and according to Grammarly, “Grammarly Authorship is a set of features that helps users demonstrate their sources of text in a Google doc. When you activate Authorship within Google Docs, it proactively tracks the writing process as you write.”


AI Agents Are Coming to Higher Education — from govtech.com
AI agents are customizable tools with more decision-making power than chatbots. They have the potential to automate more tasks, and some schools have implemented them for administrative and educational purposes.

Custom GPTs are on the rise in education. Google’s version, Gemini Gems, includes a premade version called Learning Coach, and Microsoft announced last week a new agent addition to Copilot featuring use cases at educational institutions.


Generative Artificial Intelligence and Education: A Brief Ethical Reflection on Autonomy — from er.educause.edu by Vicki Strunk and James Willis
Given the widespread impacts of generative AI, looking at this technology through the lens of autonomy can help equip students for the workplaces of the present and of the future, while ensuring academic integrity for both students and instructors.

The principle of autonomy stresses that we should be free agents who can govern ourselves and who are able to make our own choices. This principle applies to AI in higher education because it raises serious questions about how, when, and whether AI should be used in varying contexts. Although we have only begun asking questions related to autonomy and many more remain to be asked, we hope that this serves as a starting place to consider the uses of AI in higher education.

 

AI Is Unavoidable, Not Inevitable — from marcwatkins.substack.com by Marc Watkins

I had the privilege of moderating a discussion between Josh Eyler and Robert Cummings about the future of AI in education at the University of Mississippi’s recent AI Winter Institute for Teachers. I work alongside both in faculty development here at the University of Mississippi. Josh’s position on AI sparked a great deal of debate on social media:

To make my position clear about the current AI in education discourse I want to highlight several things under an umbrella of “it’s very complicated.”

Most importantly, we all deserve some grace here. Dealing with generative AI in education isn’t something any of us asked for. It isn’t normal. It isn’t fixable by purchasing a tool or telling faculty to simply ‘prefer not to’ use AI. It is and will remain unavoidable for virtually every discipline taught at our institutions.

If one good thing happens because of generative AI let it be that it helps us clearly see how truly complicated our existing relationships with machines are now. As painful as this moment is, it might be what we need to help prepare us for a future where machines that mimic reasoning and human emotion refuse to be ignored.


“AI tutoring shows stunning results.”
See below article.


From chalkboards to chatbots: Transforming learning in Nigeria, one prompt at a time — from blogs.worldbank.org by Martín E. De Simone, Federico Tiberti, Wuraola Mosuro, Federico Manolio, Maria Barron, and Eliot Dikoru

Learning gains were striking
The learning improvements were striking—about 0.3 standard deviations. To put this into perspective, this is equivalent to nearly two years of typical learning in just six weeks. When we compared these results to a database of education interventions studied through randomized controlled trials in the developing world, our program outperformed 80% of them, including some of the most cost-effective strategies like structured pedagogy and teaching at the right level. This achievement is particularly remarkable given the short duration of the program and the likelihood that our evaluation design underestimated the true impact.

Our evaluation demonstrates the transformative potential of generative AI in classrooms, especially in developing contexts. To our knowledge, this is the first study to assess the impact of generative AI as a virtual tutor in such settings, building on promising evidence from other contexts and formats; for example, on AI in coding classes, AI and learning in one school in Turkey, teaching math with AI (an example through WhatsApp in Ghana), and AI as a homework tutor.

Comments on this article from The Rundown AI:

Why it matters: This represents one of the first rigorous studies showing major real-world impacts in a developing nation. The key appears to be using AI as a complement to teachers rather than a replacement — and results suggest that AI tutoring could help address the global learning crisis, particularly in regions with teacher shortages.


Other items re: AI in our learning ecosystems:

  • Will AI revolutionise marking? — from timeshighereducation.com by Rohim Mohammed
    Artificial intelligence has the potential to improve speed, consistency and detail in feedback for educators grading students’ assignments, writes Rohim Mohammed. Here he lists the pros and cons based on his experience
  • Marty the Robot: Your Classroom’s AI Companion — from rdene915.com by Dr. Rachelle Dené Poth
  • Generative Artificial Intelligence: Cautiously Recognizing Educational Opportunities — from scholarlyteacher.com by Todd Zakrajsek, University of North Carolina at Chapel Hill
  • Personal AI — from michelleweise.substack.com by Dr. Michelle Weise
    “Personalized” Doesn’t Have To Be a Buzzword
    Today, however, is a different kind of moment. GenAI is now rapidly evolving to the point where we may be able to imagine a new way forward. We can begin to imagine solutions truly tailored for each of us as individuals, our own personal AI (pAI). pAI could unify various silos of information to construct far richer and more holistic and dynamic views of ourselves as long-life learners. A pAI could become our own personal career navigator, skills coach, and storytelling agent. Three particular areas emerge when we think about tapping into the richness of our own data:

    • Personalized Learning Pathways & Dynamic Skill Assessment: …
    • Storytelling for Employers:…
    • Ongoing Mentorship and Feedback: …
  • Speak — a language learning app — via The Neuron

 


ChatGPT can now handle reminders and to-dos — from theverge.com by Kylie Robison
The AI chatbot can now set reminders and perform recurring actions.

OpenAI is launching a new beta feature in ChatGPT called Tasks that lets users schedule future actions and reminders.

The feature, which is rolling out to Plus, Team, and Pro subscribers starting today, is an attempt to make the chatbot into something closer to a traditional digital assistant — think Google Assistant or Siri but with ChatGPT’s more advanced language capabilities.


ChatGPT gets proactive with ‘Tasks’ — from therundown.ai by Rowan Cheung
PLUS: Minimax’s LLM context-length breakthrough

The Rundown: OpenAI is rolling out Tasks, a new ChatGPT beta feature that allows users to schedule reminders and recurring actions, marking the company’s first step into agentic AI capabilities.

Why it matters: While reminders aren’t groundbreaking, Tasks lays the groundwork for incorporating agentic abilities into ChatGPT, which will likely gain value once integrated with other features like tool or computer use. With ‘Operator’ also rumored to be coming this month, all signs are pointing towards 2025 being the year of the AI agent.


 

NVIDIA Partners With Industry Leaders to Advance Genomics, Drug Discovery and Healthcare — from nvidianews.nvidia.com
IQVIA, Illumina, Mayo Clinic and Arc Institute Harness NVIDIA AI and Accelerated Computing to Transform $10 Trillion Healthcare and Life Sciences Industry

J.P. Morgan Healthcare Conference—NVIDIA today announced new partnerships to transform the $10 trillion healthcare and life sciences industry by accelerating drug discovery, enhancing genomic research and pioneering advanced healthcare services with agentic and generative AI.

The convergence of AI, accelerated computing and biological data is turning healthcare into the largest technology industry. Healthcare leaders IQVIA, Illumina and Mayo Clinic, as well as Arc Institute, are using the latest NVIDIA technologies to develop solutions that will help advance human health.

These solutions include AI agents that can speed clinical trials by reducing administrative burden, AI models that learn from biology instruments to advance drug discovery and digital pathology, and physical AI robots for surgery, patient monitoring and operations. AI agents, AI instruments and AI robots will help address the $3 trillion of operations dedicated to supporting industry growth and create an AI factory opportunity in the hundreds of billions of dollars.


AI could transform health care, but will it live up to the hype? — from sciencenews.org by Meghan Rosen and Tina Hesman Saey
The technology has the potential to improve lives, but hurdles and questions remain

True progress in transforming health care will require solutions across the political, scientific and medical sectors. But new forms of artificial intelligence have the potential to help. Innovators are racing to deploy AI technologies to make health care more effective, equitable and humane.

AI could spot cancer early, design lifesaving drugs, assist doctors in surgery and even peer into people’s futures to predict and prevent disease. The potential to help people live longer, healthier lives is vast. But physicians and researchers must overcome a legion of challenges to harness AI’s potential.


HHS publishes AI Strategic Plan, with guidance for healthcare, public health, human services — from healthcareitnews.com by Mike Miliard
The framework explores ways to spur innovation and adoption, enable more trustworthy model development, promote access and foster AI-empowered healthcare workforces.

The U.S. Department of Health and Human Services has issued its HHS Artificial Intelligence Strategic Plan, which the agency says will “set in motion a coordinated public-private approach to improving the quality, safety, efficiency, accessibility, equitability and outcomes in health and human services through the innovative, safe, and responsible use of AI.”


How Journalism Will Adapt in the Age of AI — from bloomberg.com/ by John Micklethwait
The news business is facing its next enormous challenge. Here are eight reasons to be both optimistic and paranoid.

AI promises to get under the hood of our industry — to change the way we write and edit stories. It will challenge us, just like it is challenging other knowledge workers like lawyers, scriptwriters and accountants.

Most journalists love AI when it helps them uncover Iranian oil smuggling. Investigative journalism is not hard to sell to a newsroom. The second example is a little harder. Over the past month we have started testing AI-driven summaries for some longer stories on the Bloomberg Terminal.

The software reads the story and produces three bullet points. Customers like it — they can quickly see what any story is about. Journalists are more suspicious. Reporters worry that people will just read the summary rather than their story.

So, looking into our laboratory, what do I think will happen in the Age of AI? Here are eight predictions.


‘IT will become the HR of AI agents’, says Nvidia’s CEO: How should organisations respond? — from hrsea.economictimes.indiatimes.com by Vanshika Rastogi

Nvidia’s CEO, Jensen Huang’s recent statement “IT will become the HR of AI agents” continues to spark debate about IT’s evolving role in managing AI systems. As AI tools become integral, IT teams will take on tasks like training and optimising AI agents, blending technical and HR responsibilities. So, how should organisations respond to this transformation?

 

AI educators are coming to this school – and it’s part of a trend — from techradar.com by Eric Hal Schwartz
Two hours of lessons, zero teachers

  • An Arizona charter school will use AI instead of human teachers for two hours a day on academic lessons.
  • The AI will customize lessons in real-time to match each student’s needs.
  • The company has only tested this idea at private schools before but claims it hugely increases student academic success.

One school in Arizona is trying out a new educational model built around AI and a two-hour school day. When Arizona’s Unbound Academy opens, the only teachers will be artificial intelligence algorithms in a perfect utopia or dystopia, depending on your point of view.


AI in Instructional Design: reflections on 2024 & predictions for 2025 — from drphilippahardman.substack.com by Dr. Philippa Hardman
Aka, four new year’s resolutions for the AI-savvy instructional designer.


Debating About AI: A Free Comprehensive Guide to the Issues — from stefanbauschard.substack.com by Stefan Bauschard

In order to encourage and facilitate debate on key controversies related to AI, I put together this free 130+ page guide to the main arguments and ideas related to the controversies.


Universities need to step up their AGI game — from futureofbeinghuman.com by Andrew Maynard
As Sam Altman and others push toward a future where AI changes everything, universities need to decide if they’re going to be leaders or bystanders in helping society navigate advanced AI transitions

And because of this, I think there’s a unique opportunity for universities (research universities in particular) to up their game and play a leadership role in navigating the coming advanced AI transition.

Of course, there are already a number of respected university-based initiatives that are working on parts of the challenge. Stanford HAI (Human-centered Artificial Intelligence) is one that stands out, as does the Leverhulm Center for the Future of Intelligence at the University of Cambridge, and the Center for Governance of AI at the University of Oxford. But these and other initiatives are barely scratching the surface of what is needed to help successfully navigate advanced AI transitions.

If universities are to be leaders rather than bystanders in ensuring human flourishing in an age of AI, there’s an urgent need for bolder and more creative forward-looking initiatives that support research, teaching, thought leadership, and knowledge mobilization, at the intersection of advanced AI and all aspects of what it means to thrive and grow as a species.


 

 

How AI Is Changing Education: The Year’s Top 5 Stories — from edweek.org by Alyson Klein

Ever since a new revolutionary version of chat ChatGPT became operable in late 2022, educators have faced several complex challenges as they learn how to navigate artificial intelligence systems.

Education Week produced a significant amount of coverage in 2024 exploring these and other critical questions involving the understanding and use of AI.

Here are the five most popular stories that Education Week published in 2024 about AI in schools.


What’s next with AI in higher education? — from msn.com by Science X Staff

Dr. Lodge said there are five key areas the higher education sector needs to address to adapt to the use of AI:

1. Teach ‘people’ skills as well as tech skills
2. Help all students use new tech
3. Prepare students for the jobs of the future
4. Learn to make sense of complex information
5. Universities to lead the tech change


5 Ways Teachers Can Use NotebookLM Today — from classtechtips.com by Dr. Monica Burns

 


AI in 2024: Insights From our 5 Million Readers — from linkedin.com by Generative AI

Checking the Pulse: The Impact of AI on Everyday Lives
So, what exactly did our users have to say about how AI transformed their lives this year?
.

Top 2024 Developments in AI

  1. Video Generation…
  2. AI Employees…
  3. Open Source Advancements…

Getting ready for 2025: your AI team members (Gift lesson 3/3) — from flexos.com by Daan van Rossum

And that’s why today, I’ll tell you exactly which AI tools I’ve recommended for the top 5 use cases to almost 200 business leaders who took the Lead with AI course.

1. Email Management: Simplifying Communication with AI

  • Microsoft Copilot for Outlook. …
  • Gemini AI for Gmail. …
  • Grammarly. …

2. Meeting Management: Maximize Your Time

  • Otter.ai. …
  • Copilot for Microsoft Teams. …
  • Other AI Meeting Assistants. Zoom AI Companion, Granola, and Fathom

3. Research: Streamlining Information Gathering

  • ChatGPT. …
  • Perplexity. …
  • Consensus. …

…plus several more items and tools that were mentioned by Daan.

 
© 2025 | Daniel Christian