Not to us, Lord, not to us
but to your name be the glory,
because of your love and faithfulness.
Apply your heart to instruction
and your ears to words of knowledge.
my inmost being will rejoice
when your lips speak what is right.
Since ancient times no one has heard,
no ear has perceived,
no eye has seen any God besides you,
who acts on behalf of those who wait for him.
This Winery is a Stunning Blend of Architecture and Vineyards — from contemporist.com
Thomson Reuters CEO: Legal Profession Faces “Biggest Disruption in Its History”from AI — from lawnext.com by Bob Ambrogi
Thomson Reuters President and CEO Steve Hasker believes the legal profession is experiencing “the biggest disruption … in its history” due to generative and agentic artificial intelligence, fundamentally rewriting how legal work products are created for the first time in more than 300 years.
Speaking to legal technology reporters during ILTACON, the International Legal Technology Association’s annual conference, Hasker outlined his company’s ambitious goal to become “the most innovative company” in the legal tech sector while navigating what he described as unprecedented technological change affecting a profession that has remained largely unchanged since its origins in London tea houses centuries ago.
Legal tech hackathon challenges students to rethink access to justice — from the Centre for Innovation and Entrepreneurship, Auckland Law School
In a 24-hour sprint, student teams designed innovative tools to make legal and social support more accessible.
The winning team comprised of students of computer science, law, psychology and physics. They developed a privacy-first legal assistant powered by AI that helps people understand their legal rights without needing to navigate dense legal language.
Teaching How To ‘Think Like a Lawyer’ Revisited — from abovethelaw.com by Stephen Embry
GenAI gives the concept of training law students to think like a lawyer a whole new meaning.
Law Schools
These insights have particular urgency for legal education. Indeed, most of Cowen’s criticisms and suggested changes need to be front and center for law school leaders. It’s naïve to think that law student and lawyers aren’t going to use GenAI tools in virtually every aspect of their professional and personal lives. Rather than avoiding the subject or worse yet trying to stop use of these tools, law schools should make GenAI tools a fundamental part of research, writing and drafting training.
They need to focus not on memorization but on the critical thinking skills beginning lawyers used to get in the on-the-job training guild type system. As I discussed, that training came from repetitive and often tedious work that developed experienced lawyers who could recognize patterns and solutions based on the exposure to similar situations. But much of that repetitive and tedious work may go away in a GenAI world.
The Role of Adjunct Professors
But to do this, law schools need to better partner with actual practicing lawyers who can serve as adjunct professors. Law schools need to do away with the notion that adjuncts are second-class teachers.
It’s a New Dawn In Legal Tech: From Woodstock to ILTACON (And Beyond) — from lawnext.com by Bob Ambrogi
As someone who has covered legal tech for 30 years, I cannot remember there ever being a time such as this, when the energy and excitement are raging, driven by generative AI and a new era of innovation and new ideas of the possible.
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But this year was different. Wandering the exhibit hall, getting product briefings from vendors, talking with attendees, it was impossible to ignore the fundamental shift happening in legal technology. Gen AI isn’t just creating new products – it is spawning entirely new categories of products that truly are reshaping how legal work gets done.
Agentic AI is the buzzword of 2025 and agentic systems were everywhere at ILTACON, promising to streamline workflows across all areas of legal practice. But, perhaps more importantly, these tools are also beginning to address the business side of running a law practice – from client intake and billing to marketing and practice management. The scope of transformation is now beginning to extend beyond the practice of law into the business of law.
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Largely missing from this gathering were solo practitioners, small firm lawyers, legal aid organizations, and access-to-justice advocates – the very people who stand to benefit most from the democratizing potential of AI.
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However, now more than ever, the innovations we are seeing in legal tech have the power to level the playing field, to give smaller practitioners access to tools and capabilities that were once prohibitively expensive. If these technologies remain priced for and marketed primarily to Big Law, we will have succeeded only in widening the justice gap rather than closing it.
How AI is Transforming Deposition Review: A LegalTech Q&A — from jdsupra.com
Thanks to breakthroughs in artificial intelligence – particularly in semantic search, multimodal models, and natural language processing – new legaltech solutions are emerging to streamline and accelerate deposition review. What once took hours or days of manual analysis now can be accomplished in minutes, with greater accuracy and efficiency than possible with manual review.
From Skepticism to Trust: A Playbook for AI Change Management in Law Firms — from jdsupra.com by Scott Cohen
Historically, lawyers have been slow adopters of emerging technologies, and with good reason. Legal work is high stakes, deeply rooted in precedent, and built on individual judgment. AI, especially the new generation of agentic AI (systems that not only generate output but initiate tasks, make decisions, and operate semi-autonomously), represents a fundamental shift in how legal work gets done. This shift naturally leads to caution as it challenges long-held assumptions about lawyer workflows and several aspects of their role in the legal process.
The path forward is not to push harder or faster, but smarter. Firms need to take a structured approach that builds trust through transparency, context, training, and measurement of success. This article provides a five-part playbook for law firm leaders navigating AI change management, especially in environments where skepticism is high and reputational risk is even higher.
ILTACON 2025: The vendor briefings – Agents, ecosystems and the next stage of maturity — from legaltechnology.com by Caroline Hill
This year’s ILTACON in Washington was heavy on AI, but the conversation with vendors has shifted. Legal IT Insider’s briefings weren’t about potential use cases or speculative roadmaps. Instead, they focused on how AI is now being embedded into the tools lawyers use every day — and, crucially, how those tools are starting to talk to each other.
Taken together, they point to an inflection point, where agentic workflows, data integration, and open ecosystems define the agenda. But it’s important amidst the latest buzzwords to remember that agents are only as good as the tools they have to work with, and AI only as good as its underlying data. Also, as we talk about autonomous AI, end users are still struggling with cloud implementations and infrastructure challenges, and need vendors to be business partners that help them to make progress at speed.
Harvey’s roadmap is all about expanding its surface area — connecting to systems like iManage, LexisNexis, and more recently publishing giant Wolters Kluwer — so that a lawyer can issue a single query and get synthesised, contextualised answers directly within their workflow. Weinberg said: “What we’re trying to do is get all of the surface area of all of the context that a lawyer needs to complete a task and we’re expanding the product surface so you can enter a search, search all resources, and apply that to the document automatically.”
The common thread: no one is talking about AI in isolation anymore. It’s about orchestration — pulling together multiple data sources into a workflow that actually reflects how lawyers practice.
5 Pitfalls Of Delaying Automation In High-Volume Litigation And Claims — from jdsupra.com
Why You Can’t Afford to Wait to Adopt AI Tools that have Plaintiffs Moving Faster than Ever
Just as photocopiers shifted law firm operations in the early 1970s and cloud computing transformed legal document management in the early 2000s, AI automation tools are altering the current legal landscape—enabling litigation teams to instantly structure unstructured data, zero in on key arguments in seconds, and save hundreds (if not thousands) of hours of manual work.
Your Firm’s AI Policy Probably Sucks: Why Law Firms Need Education, Not Rules — from jdsupra.com
The Floor, Not the Ceiling
Smart firms need to flip their entire approach. Instead of dictating which AI tools lawyers must use, leadership should set a floor for acceptable use and then get out of the way.
The floor is simple: no free versions for client work. Free tools are free because users are the product. Client data becomes training data. Confidentiality gets compromised. The firm loses any ability to audit or control how information flows. This isn’t about control; it’s about professional responsibility.
But setting the floor is only the first step. Firms must provide paid, enterprise versions of AI tools that lawyers actually want to use. Not some expensive legal tech platform that promises AI features but delivers complicated workflows. Real AI tools. The same ones lawyers are already using secretly, but with enterprise security, data protection, and proper access controls.
Education must be practical and continuous. Single training sessions don’t work. AI tools evolve weekly. New capabilities emerge constantly. Lawyers need ongoing support to experiment, learn, and share discoveries. This means regular workshops, internal forums for sharing prompts and techniques, and recognition for innovative uses.
The education investment pays off immediately. Lawyers who understand AI use it more effectively. They catch its mistakes. They know when to verify outputs. They develop specialized prompts for legal work. They become force multipliers, not just for themselves but for their entire teams.
“It’s hard to fathom what the impact of 10 million people in student loan default will have on college-going attitudes.” — from linkedin.com by Brandon Busteed
The rates of student loan non payment between April and June climbed sharply, so that 12.9 percent of debt is now subject to “serious delinquency,” according to new data released by the Federal Reserve Bank of New York.
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Federal Reserve Bank of New York’s Center for Microeconomic Data released its Quarterly Report on Household Debt and Credit on Wednesday, which found the number of student loans transitioning into serious delinquency, or 90 days past due, rose “sharply” in the second quarter of 2025.
What next for EDI? Protecting equality of opportunity in HE — from timeshighereducation.com by Laura Duckett
As equity, diversity and inclusion practices face mounting political and cultural challenges, this guide includes strategies from academics around the world on preserving fair access and opportunity for all
As many in this guide explain, hostility to efforts to create fairer, inclusive and diverse institutions of higher education runs a lot deeper than the latest US presidential agenda and it cannot be ignored and rejected as a momentary political spike. Yet the continued need for EDI (or DEI as it is called in America) work to address historic and systemic injustice is clear from the data. In the US, Black, Hispanic, Latino, Native American and Pacific Islander people are under-represented in university student and staff populations. Students from these groups also have worse academic outcomes.
In the UK, only 1 per cent of professors are Black, women remain under-represented on the higher rungs of the academic ladder and the attainment gap between students from minoritised backgrounds and their white counterparts remains stubbornly evident across the higher education sector.
While not all EDI work has proved successful, significant progress has been made on widening participation in higher education and building more inclusive universities in which students and academics can thrive.
This guide shares lessons from academics on navigating increasingly choppy waters relating to EDI, addressing misconceptions about the work and its core ambitions, strategies for allyship, anti-racism and inclusion and how to champion EDI through your teaching and institutional culture.
Back to School in the AI Era: Why Students Are Rewriting Your Lesson Plan — from linkedin.com by Hailey Wilson
As a new academic year begins, many instructors, trainers, and program leaders are bracing for familiar challenges—keeping learners engaged, making complex material accessible, and preparing students for real-world application.
But there’s a quiet shift happening in classrooms and online courses everywhere.
This fall, it’s not the syllabus that’s guiding the learning experience—it’s the conversation between the learner and an AI tool.
From bootcamp to bust: How AI is upending the software development industry — from reuters.com by Anna Tong; via Paul Fain
Coding bootcamps have been a mainstay in Silicon Valley for more than a decade. Now, as AI eliminates the kind of entry-level roles for which they trained people, they’re disappearing.
Coding bootcamps have been a Silicon Valley mainstay for over a decade, offering an important pathway for non-traditional candidates to get six-figure engineering jobs. But coding bootcamp operators, students and investors tell Reuters that this path is rapidly disappearing, thanks in large part to AI.
“Coding bootcamps were already on their way out, but AI has been the nail in the coffin,” said Allison Baum Gates, a general partner at venture capital fund SemperVirens, who was an early employee at bootcamp pioneer General Assembly.
Gates said bootcamps were already in decline due to market saturation, evolving employer demand and market forces like growth in international hiring.
Artist Spotlight: Yuwei Tu — from booooooom.com
Artist Spotlight: Jay Stern — from booooooom.com
Whimsical and Wild, ‘Weird Buildings’ Celebrates Architects Who Think Outside the Box — from thisiscolossal.com by Kate Mothes
Here are my favorite back-to-school activities to strengthen learning — from retrievalpractice.org by Pooja K. Agarwal, Ph.D.
Welcome back to school! For most of us (myself included), the whirlwind of lesson prep, meetings, professional development—and of course, teaching—is here. Keep reading for my favorite back-to-school activities to engage students with retrieval practice during the first week of class.
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It may (or may not) surprise you to know that my first day of class is full of retrieval practice. Even if you haven’t introduced content yet, use retrieval practice the first day or week of class. Here’s how, with quick activities you can adapt for K–12 students, higher ed courses, and all content areas:
How to Teach a Good First Day of Class — by James Lang; via Dr. Pooja Agarwal’s posting above
What you can expect to find here:
7 Pieces of Advice for New Teachers — from edutopia.org by Brienne May
Focus on relationships with students and colleagues to make a good start to the year—and remember to ask for what you need.
Too often, teacher preparation programs are rich in theory but light on practical guidance. After working hard through my undergraduate classes, completing student teaching, and spending countless hours laminating and cutting, I still found myself on the first day of school, standing in front of a room full of expectant faces with eager eyes, and realized I had no idea what to do next. I didn’t know what to say to students in that moment, let alone how to survive the following 180 days. Twelve years later, I have collected a trove of advice I wish I could have shared with that fresh-faced teacher.
The Transient Information Effect: Why Great Explanations Don’t Always Stick — from scienceoflearning.substack.com by Nidhi Sachdeva and Jim Hewitt
In this post, Dr. John Sweller describes how the Transient Information Effect can overload student working memory and what teachers can do about it.
Highlights:
41 Elementary Classroom Jobs to Build Shared Responsibility and Community — from edutopia.org by Donna Paul
Classroom jobs help students feel seen, trusted, and excited to contribute to their classroom community.
Each fall, one of the first routines I introduce is our classroom job board. It’s more than a list of tasks—it helps students feel that they belong and have real roles in our shared space. Over the years, I’ve expanded beyond classic jobs like Line Leader and Pencil Sharpener to include creative roles with quirky titles that engage and resonate with students.
Here are the jobs that have helped my students feel seen, trusted, and excited to contribute.
Guiding Students to Overcome Learned Helplessness — from edutopia.org by Michelle Singh
New teachers can create an environment where students feel supported and understand that mistakes are part of the learning process.
Creating a Kid-Led Hall of Fame for Books — from edutopia.org by Eric Hall
Allowing elementary students to nominate and vote for their favorite books of the year can create a culture of celebration in the classroom.
When I started teaching, I remembered that conversation with my elementary school librarian. I thought, “Why should adults have all the fun?” I wanted my students to experience the excitement of recognizing books they thought were the best. And just like that, the Hallbery Awards were born and continued twice a year for over 15 years. (Why Hallbery? Because my last name is Hall.)
Understanding Diagnostic, Formative, and Summative Assessments — from edmentum.com
Today, we’re taking a look at the three primary forms of assessments—diagnostic, formative, and summative—with the goal of not only differentiating between them but also better understanding the purpose and potential power of each.
At their core, each of the three primary assessment types serves a distinct purpose. Diagnostic assessments are used before instruction to help identify where students are in their comprehension of academic content. Formative assessments are used while content is being taught to understand what students are picking up, to guide their learning, and to help teachers determine what to focus on moving forward. Summative assessments are used after instruction to evaluate the outcomes of student learning: what, or how much, they ultimately learned.
How one state revamped high school to reflect reality: Not everyone goes to college — from hechingerreport.org by Kavitha Cardoza
Indiana’s initial plan for revised graduation requirements was criticized for prioritizing workforce skills over academic preparedness. The state has tried to find a balance between the two
This story is part of Hechinger’s ongoing coverage about rethinking high school. Read about high school apprenticeships in Indiana, a new diploma in Alabama that trades chemistry for carpentry, and “career education for all” in Kentucky.
The “New Indiana Diploma” — which was signed into law in April and goes into effect for all incoming first-year students this academic year — gives students the option to earn different “seals” in addition to a basic diploma, depending on whether they plan to attend college, go straight to work or serve in the military. Jenner describes it as an effort to tailor the diploma to students’ interests, expose students to careers and recognize different forms of student achievement.
How Teachers in This District Pushed to Have Students Spend Less Time Testing — from edweek.org by Elizabeth Heubeck
Students in one Arizona district will take fewer standardized tests this school year, the result of an educator-led push to devote less time to testing.
The Tucson Education Association, backed by the school board and several parents, reached an agreement with the Tucson Unified school system in May to reduce the number of district-mandated standardized assessments students take annually starting in the 2025-26 academic year.
Just 25 percent of educators agreed that state-mandated tests provide useful information for the teachers in their school, according to a 2023 EdWeek Research Center survey of teachers, principals, and district leaders.
30 Ways to Bring Calm to a Noisy High School Classroom — from edutopia.org by Anne Noyes Saini
From ‘finding the lull’ to the magic of a dramatic whisper, these teacher-tested strategies quickly get high school students focused and back on track.
Approaching Experiential Learning as a Continuum — from edutopia.org by Bill Manchester
Teachers can consider 12 characteristics of experiential learning to make lessons more or less active for students.
AI’s Impact on Early Talent: Building Today’s Education-to-Employment Systems for Tomorrow’s Workforce — from bhef.com by Kristen Fox and Madison Myers
To rise above the threshold, consider the skills that our board member and Northeastern University President Joseph Aoun outlines as essential literacies in Robot-Proof: Higher Education in the Age of Artificial Intelligence. In addition to technical and data literacies, he shares two key components of human literacy.
First, a set of “catalytic capacities” that include:
Second, a set of “creative capacities” that include:
The most effective approach to achieve these outcomes? Interdisciplinary models that embed skills flexibly across curriculum, that engage learners as part of networks, teams, and exploration, and that embed applied experiences in real-world contexts. Scott Carlson and Ned Laff have laid out some great examples of what this looks like in action in Hacking College.
The bottom line: the expectations of entry-level talent are rising while the systems to achieve that level of context and understanding are not necessarily keeping pace.
Bringing the best of AI to college students for free — from blog.google by Sundar Pichai
Millions of college students around the world are getting ready to start classes. To help make the school year even better, we’re making our most advanced AI tools available to them for free, including our new Guided Learning mode. We’re also providing $1 billion to support AI education and job training programs and research in the U.S. This includes making our AI and career training free for every college student in America through our AI for Education Accelerator — over 100 colleges and universities have already signed up.
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Guided Learning: from answers to understanding
AI can broaden knowledge and expand access to it in powerful ways, helping anyone, anywhere learn anything in the way that works best for them. It’s not about just getting an answer, but deepening understanding and building critical thinking skills along the way. That opportunity is why we built Guided Learning, a new mode in Gemini that acts as a learning companion guiding you with questions and step-by-step support instead of just giving you the answer. We worked closely with students, educators, researchers and learning experts to make sure it’s helpful for understanding new concepts and is backed by learning science.
DC: If such a robot was dropped on your street with instructions to kill you and everyone else it encounters, how would you stop it?! https://t.co/nWq251BK5c
— Daniel S. Christian (@dchristian5) August 13, 2025
From DSC:
You and I both know that numerous militaries across the globe are working on killer robots equipped with AI. This is nothing new. But I don’t find this topic to be entertaining in the least. Because it could be part of how wars are fought in the near future. And most of us wouldn’t have a clue how to stop one of these things.
21 Ways People Are Using A.I. at Work — from nytimes.com by Larry Buchanan and Francesca Paris; this is a gifted article
The GPT-5 fallout, explained… — from theneurondaily.com by Grant Harvey
PLUS: Who knew ppl loved 4o so much!?
The GPT-5 Backlash, Explained: OpenAI users revolted against GPT-5… then things got weird.
What a vibe shift a day or two makes, huh? As you all know by now, GPT-5 dropped last Thursday, and at first, it seemed like a pretty successful launch.
Early testers loved it. Sam Altman called it “the most powerful AI model ever made.”
Then the floodgates opened to 700 million users.. and all hell broke loose.
Here’s what happened: Within hours, Reddit and Twitter turned into digital pitchforks. The crime? OpenAI had quietly sunset GPT-4o—the model everyone apparently loved more than their morning coffee—without warning. Users weren’t just mad. They were devastated.
ChatGPT Changes — from getsuperintel.com by Kim “Chubby” Isenberg
4o is back, and Plus users get 3000 reasoning requests per week with GPT-5!
Who would have thought that the “smartest model ever” would trigger one of the loudest user revolts in AI history? The return of GPT-4o after only 24 hours shows how attached people are to the personality of their AI—and how quickly trust crumbles when expectations are not met. In this issue, we not only look at OpenAI’s response, but also at how the balance of power between developers and the community is shifting.
GPT-5 doesn’t dislike you—it might just need a benchmark for emotional intelligence — from link.wired.com by
Welcome to another AI Lab!
The backlash over the more emotionally neutral GPT-5 shows that the smartest AI models might have striking reasoning, coding, and math skills, but advancing their psychological intelligence safely remains very much unsolved.
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Since the all-new ChatGPT launched on Thursday, some users have mourned the disappearance of a peppy and encouraging personality in favor of a colder, more businesslike one (a move seemingly designed to reduce unhealthy user behavior.) The backlash shows the challenge of building artificial intelligence systems that exhibit anything like real emotional intelligence.
Researchers at MIT have proposed a new kind of AI benchmark to measure how AI systems can manipulate and influence their users—in both positive and negative ways—in a move that could perhaps help AI builders avoid similar backlashes in the future while also keeping vulnerable users safe.
ChatGPT is bringing back 4o as an option because people missed it — from theverge.com by Emma Roth
Many ChatGPT users were frustrated by OpenAI’s decision to make GPT-5 the default model.
OpenAI is bringing back GPT-4o in ChatGPT just one day after replacing it with GPT-5. In a post on X, OpenAI CEO Sam Altman confirmed that the company will let paid users switch to GPT-4o after ChatGPT users mourned its replacement.
“We will let Plus users choose to continue to use 4o,” Altman says. “We will watch usage as we think about how long to offer legacy models for.”
For months, ChatGPT fans have been waiting for the launch of GPT-5, which OpenAI says comes with major improvements to writing and coding capabilities over its predecessors. But shortly after the flagship AI model launched, many users wanted to go back.
AI Agent Trends of 2025: A Transformative Landscape — from marktechpost.com by Asif Razzaq
This articles focuses on five core AI agent trends for 2025: Agentic Retrieval-Augmented Generation (RAG), Voice Agents, AI Agent Protocols, DeepResearch Agents, Coding Agents, and Computer Using Agents (CUA).
Goodbye, $165,000 Tech Jobs. Student Coders Seek Work at Chipotle. — from nytimes.com by Natasha Singer [this is a gifted NY article]
“The rhetoric was, if you just learned to code, work hard and get a computer science degree, you can get six figures for your starting salary,” Ms. Mishra, now 21, recalls hearing as she grew up in San Ramon, Calif.
Those golden industry promises helped spur Ms. Mishra to code her first website in elementary school, take advanced computing in high school and major in computer science in college. But after a year of hunting for tech jobs and internships, Ms. Mishra graduated from Purdue University in May without an offer.
“I just graduated with a computer science degree, and the only company that has called me for an interview is Chipotle,” Ms. Mishra said in a get-ready-with-me TikTok video this summer that has since racked up more than 147,000 views.
But now, the spread of A.I. programming tools, which can quickly generate thousands of lines of computer code — combined with layoffs at companies like Amazon, Intel, Meta and Microsoft — is dimming prospects in a field that tech leaders promoted for years as a golden career ticket. The turnabout is derailing the employment dreams of many new computing grads and sending them scrambling for other work.
Experimenting with Color and Reflection, Kenny Harris Brews Beautiful Still Lifes — from thisiscolossal.com by Kenny Harris and Kate Mothes
BREAKING: Google introduces Guided Learning — from aieducation.substack.com by Claire Zau
Some thoughts on what could make Google’s AI tutor stand out
Another major AI lab just launched “education mode.”
Google introduced Guided Learning in Gemini, transforming it into a personalized learning companion designed to help you move from quick answers to real understanding.
Instead of immediately spitting out solutions, it:
This Socratic style tutor rollout follows closely behind similar announcements like OpenAI’s Study Mode (last week) and Anthropic’s Claude for Education (April 2025).
How Sci-Fi Taught Me to Embrace AI in My Classroom — from edsurge.com by Dan Clark
I’m not too naive to understand that, no matter how we present it, some students will always be tempted by “the dark side” of AI. What I also believe is that the future of AI in education is not decided. It will be decided by how we, as educators, embrace or demonize it in our classrooms.
My argument is that setting guidelines and talking to our students honestly about the pitfalls and amazing benefits that AI offers us as researchers and learners will define it for the coming generations.
Can AI be the next calculator? Something that, yes, changes the way we teach and learn, but not necessarily for the worse? If we want it to be, yes.
How it is used, and more importantly, how AI is perceived by our students, can be influenced by educators. We have to first learn how AI can be used as a force for good. If we continue to let the dominant voice be that AI is the Terminator of education and critical thinking, then that will be the fate we have made for ourselves.
AI Tools for Strategy and Research – GT #32 — from goodtools.substack.com by Robin Good
Getting expert advice, how to do deep research with AI, prompt strategy, comparing different AIs side-by-side, creating mini-apps and an AI Agent that can critically analyze any social media channel
In this issue, discover AI tools for:
GPT-Building, Agentic Workflow Design & Intelligent Content Curation — from drphilippahardman.substack.com by Dr. Philippa Hardman
What 3 recent job ads reveal about the changing nature of Instructional Design
In this week’s blog post, I’ll share my take on how the instructional design role is evolving and discuss what this means for our day-to-day work and the key skills it requires.
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With this in mind, I’ve been keeping a close eye on open instructional design roles and, in the last 3 months, have noticed the emergence of a new flavour of instructional designer: the so-called “Generative AI Instructional Designer.”
Let’s deep dive into three explicitly AI-focused instructional design positions that have popped up in the last quarter. Each one illuminates a different aspect of how the role is changing—and together, they paint a picture of where our profession is likely heading.
Designers who evolve into prompt engineers, agent builders, and strategic AI advisors will capture the new premium. Those who cling to traditional tool-centric roles may find themselves increasingly sidelined—or automated out of relevance.
Google to Spend $1B on AI Training in Higher Ed — from insidehighered.com by Katherine Knott
Google’s parent company announced Wednesday (8/6/25) that it’s planning to spend $1 billion over the next three years to help colleges teach and train students about artificial intelligence.
Google is joining other AI companies, including OpenAI and Anthropic, in investing in AI training in higher education. All three companies have rolled out new tools aimed at supporting “deeper learning” among students and made their AI platforms available to certain students for free.
5 Predictions for How AI Will Impact Community Colleges — from pistis4edu.substack.com by Feng Hou
Based on current technology capabilities, adoption patterns, and the mission of community colleges, here are five well-supported predictions for AI’s impact in the coming years.
Thanks for dropping by my Learning Ecosystems blog!
My name is Daniel Christian and this blog seeks to cover the teaching and learning environments within the K-12 (including homeschooling, learning pods/micro-schools), collegiate, and corporate training spaces -- whether those environments be face-to-face, blended, hyflex, or 100% online.
Just as the organizations that we work for have their own learning ecosystems, each of us has our own learning ecosystem. We need to be very intentional about enhancing those learning ecosystems -- as we all need to be lifelong learners in order to remain marketable and employed. It's no longer about running sprints (i.e., getting a 4-year degree or going to a vocational school and then calling it quits), but rather, we are all running marathons now (i.e., we are into lifelong learning these days).
And feel free to add this stream of content into your other feeds.
