corporate / business world

We Keep Designing the Future from the Past — from LinkedIn.com by Monty Alger

“Using AI to create the practice opportunities online students need” [Miller Perkins] + other items re: AI in our learning ecosystems

On 08/19/2026, in 21st century, 24x7x365 access, adjunct faculty, adult learning, Artificial Intelligence/Agents/LLMs/and Related, assessment, business, career development, colleges, communications, communities of practice, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital learning, education, education technology, emerging technologies, Emotion, engineering, experimentation, faculty/staff, game-changing environment, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, leadership, learning, learning agents, learning ecosystem, Learning Experience Design, learning spaces, liberal arts, mathematics, online learning, personalized/customized learning, productivity / tips and tricks, professional development, student-related, teachers, teaching & learning, technologies for your home, tools, training / L&D, UK, United States, universities, vendors, workplace, youth, by Daniel Christian

Using AI to create the practice opportunities online students need— from timeshighereducation.com by Kathy Miller Perkins
For disciplines that depend on interpersonal skills such as communication, leadership, negotiation and mediation, AI can provide elusive experiential learning, particularly in asynchronous environments

What if AI’s greatest educational value lies not in generating answers but in generating experiences?

The result surprised me. Students did not simply interact with the AI, they meaningfully engaged with it. Many reported that the experience felt valuable precisely because the simulated conversation partner pushed back. Unlike classmates who sometimes hesitate to challenge one another, the AI consistently maintained its position. Students had to work harder, listen more carefully and apply the communication strategies they had spent weeks learning. And, importantly, they practised.

Here’s how to show students what responsible AI use looks like — from timeshighereducation.com by Andrew Firr and Alex Fenton
Well-designed assessments can highlight generative AI’s limitations, where it can provide support and what responsible practice looks like. Andrew Firr and Alex Fenton offer strategies

We have been exploring ways to offer this in our Level 7 module for MSc engineering management students, many of whom come from the Global South. Assessment is built around a practical design problem: students examine how a real campus process operates, where delays occur, evidence they observe and how a feasible redesign might improve the system – in a 3,000-word essay.

They can use AI for planning and providing clarity, but not for generating the evidence on which the analysis rests. Invented observations, measurements, screenshots or unverifiable citations are prohibited. The assessment design reinforces this through a case study, diagram, fact-checking exercise and a short AI use statement.

Requiring an AI use statement encourages students to reflect on their processes. We ask which tool they used, how they used it, how they checked the output and which parts of the work depended on their own evidence and judgement. It reminds them that evidence must be theirs and that citations must be manually verified.

Slow math: Kids may learn more when AI makes them review mistakes — from hechingerreport.org by Jill Barshay and Kristin Fasiang
A randomized experiment involved more than 6,000 Tennessee middle school students learning fractions

In an experiment involving more than 6,000 middle schoolers in Tennessee, students learned slightly more math when an AI tutor walked them through their mistakes and then required them to demonstrate the same skill correctly three times in a row before moving on.
…
The winning combination wasn’t the addition of AI tutoring alone, but AI tutoring plus repetition, with the idea that students needed to stick with the skill to demonstrate some level of mastery. The students who practiced math with this AI-enhanced “mastery learning” approach scored about 3 percentage points higher than students receiving conventional computerized instruction. The advantage was small.

I Built a Team of AI Bots That Write Feedback Better than Me. Here’s How. — from drphilippahardman.substack.com by Dr Philippa Hardman
Aka, how to make learners love AI-assisted feedback, rather than loathe it.

This wasn’t hidden from the cohort. For reasons I’ll come to below, I always tell my cohorts at the very start that an AI assistant will be helping me draft their feedback. The aim wasn’t to remove me from the process, but to find out whether AI could help me to deliver feedback at a volume and quality that I simply couldn’t maintain without AI.

Spoiler: the experiment worked — but not for the reason I expected. In this post, I’ll share exactly what I built, tell you how to build a version for your course and reveal the three conditions that decide whether learners trust AI-assisted feedback or quietly stop reading it.

TL;DR: the spec for my feedback assistant is long not because the model needs persuading, but because it’s where my judgement lives. Every rule in it is a decision AI would otherwise make by itself, with limited expertise. A spec doesn’t make the model smarter — it makes expertise and judgement legible enough for the model to follow.

Of the five stages of AI grief, some managers are stuck in denial— from timeshighereducation.com by Shadi Mohamed
Acceptance is not surrender. It is about getting beyond a policing obsession and rethinking what assessment aims to measure, says Shadi Mohamed

In that moment of institutional blindness, it struck me: universities are not merely struggling with a technological adoption curve. They are grieving the demise of the modern university’s economic and institutional logic.

To understand the scale of this threat posed by AI, consider what the internet did to journalism. Newspapers thrived by bundling together classified advertising with quick news hits, sports scores and opinion columns, using that reliable revenue to fund the expensive social necessity of investigative reporting. The rise of internet advertising did not kill journalism outright but it shattered the bundle, leaving the expensive core product without its historical financial engine.

Universities operate on a similar logic, bundling content delivery, assessment, credentialling, research and professional formation. But generative AI is now commodifying the most visible parts of that package. When AI can deliver personalised explanations instantly and generate the essays and reports we use to measure student capability, the traditional degree loses its role in the labour market as a proxy for understanding. If the bundle breaks, the economic model that funds our deeper purposes is in peril.

Every law firm/outside counsel and in-house should read this from Ford Motor’s Chief Policy Officer & General Counsel [Golan]

On 08/19/2026, in business, corporate / business world, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, trends, United States, by Daniel Christian

Every law firm/outside counsel and in-house should read this from Ford Motor’s Chief Policy Officer & General Counsel

“AI will bring a new balance of work between outside counsel and in-house legal departments. Ford’s legal team will be looking to reward external counsel who…

— Nir Golan (@lawheroezV2) August 10, 2026

Will this new company be the largest company on the Internet by 2030? [Christian]

On 08/01/2026, in 21st century, 24x7x365 access, adult learning, Artificial Intelligence/Agents/LLMs/and Related, Bias | Diversity Equity & Inclusion (DE&I), career development, cloud-based computing / apps / other cloud-related, communities of practice, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, cost of getting a degree, credentialing, curriculum, Daniel S. Christian, digital learning, disruption, education, education technology, elearning, emerging technologies, engagement / engaging students, future, future of higher education, game-changing environment, generational differences, global / globalization, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, informal learning, innovation, instructional design, intelligent systems, intelligent tutoring, internet, K-12 related, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, lifelong learning, love of learning, more voice more choice more control, motivation, online learning, online media, online tutoring, pathways, personalized/customized learning, platforms, productivity / tips and tricks, professional development, reinvent, society, staying relevant, student-related, teachers, teaching & learning, training / L&D, United States, vision/possibilities, web-based collaboration, youth, by Daniel Christian

From DSC:
The vision that I’ve been tracking for well over a decade begins with this graphic:
.

Could LearnVector be this next-generation company/platform? Perhaps. Time will tell.

Per Matt Tower via The EdSheet Vol. 38 dated 7/31/26:

Coursera bets $100M on its own co-founder: Andrew Ng’s new venture LearnVector lands one of the largest single checks in edtech this year — from Coursera, the company he founded 14 years ago.
.

LearnVector.ai

Digital Accessibility Lawsuits in 2026: Five Trends Companies Should Know [blog.usablenet.com]

On 07/31/2026, in 21st century, accessibility / UDL, business, colleges, communities of practice, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, legislatures / government / legal, marketing/social marketing, policy, United States, universities, vendors, by Daniel Christian

Digital Accessibility Lawsuits in 2026: Five Trends Companies Should Know — from blog.usablenet.com

Here are five findings companies should understand, along with practical steps for reducing risk.

1. Digital accessibility lawsuits are on pace to reach 6,000
2. Where a company sells matters more than where it is headquartered
3. E-commerce remains the primary target
…and more

How Explainer Video Production Turns Ideas Into Clear Stories [Williamson]

On 07/31/2026, in adult learning, business, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital learning, digital storytelling, digital video, ideas, instructional design, learning, Learning Experience Design, productivity / tips and tricks, training / L&D, by Daniel Christian

How Explainer Video Production Turns Ideas Into Clear Stories — from bitrebels.com by Lauren Williamson

Ideas rarely arrive in a neat order. They show up as notes, claims, diagrams, feature lists, and customer questions. Explainer video production turns that raw material into a story people can process quickly. It clarifies the problem, frames the change, and shows why the answer matters. When the script, visuals, voice, and pacing work together, viewers spend less energy decoding the message and more attention on absorbing it.

Explainer video production works because it gives ideas a usable order. It turns scattered information into a story with purpose, pace, and visual evidence. The strongest results come from careful message decisions before animation starts. When script, design, voice, and timing support one central point, viewers can follow with less effort. That clarity helps organizations teach, persuade, and make it easier to remember.

From DSC:
Below is an item on futures thinking. Don’t blow this off. This topic — and skill/strategy — is important not only to traditional institutions of higher education, but also to businesses and organizations of all sizes. In fact, even students can practice developing a list of potential scenarios and implement their plans of action if one of those scenarios occurs.

Chris Mayer’s posting on LinkedIn.com

Why Engineering Is No Longer A Sure Thing College Major When It Comes To Jobs [Connley-Hampton]

On 07/29/2026, in career development, change, colleges, community colleges, computer science, corporate / business world, engineering, faculty/staff, higher education, programming, student-related, United States, universities, workplace, by Daniel Christian

Why Engineering Is No Longer A Sure Thing College Major When It Comes To Jobs — from forbes.com by Courtney Connley-Hampton; this article is behind a paywall
Exclusive LinkedIn data shows engineering majors have been hit hard in today’s weak, AI-affected job market. Here’s what specialties are hurting and what top schools are doing to respond.

While lots of recent college graduates are being battered by a weak hiring market, perhaps no group is more shocked by their current plight than those who majored in engineering, long considered among the safest, most secure, and highest-paying majors. Yes, engineering grads still make more than education and English majors.

Also relevant/see:

Chris Mayer’s posting on LinkedIn.com

“Nikii Shaver on legal AI strategy, agentic governance, and trusted judgement” + an item on access to justice + an item from Zach Abramowitz

On 07/22/2026, in 21st century, Access to Justice (A2J), business, change, changing business models, corporate / business world, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, new business models, United States, by Daniel Christian

Nikii Shaver on legal AI strategy, agentic governance, and trusted judgement — from The Geek in Review Podcast

What does legal AI value look like once speed stops serving as the headline metric? In this episode of The Geek in Review, Greg Lambert and Marlene Gebauer speak with Nikki Shaver, co-founder and CEO of Legal Technology Jub and a member of the inaugural Financial Times Law 50. Shaver argues that law firms need to move beyond time saved toward efficacy: stronger output, stronger client outcomes, and more effective legal advice.

The conversation examines why the billable hour is far from finished yet no longer serves as the sole measure of legal value. Shaver compares hourly timekeeping to a taxi meter: useful for internal visibility, yet insufficient as the price signal for work transformed by AI. Workflow mapping, client discussions, and pricing discipline become central where an AI-enabled process compresses weeks of effort into hours.

Corporate legal departments are adopting AI at a faster pace, bringing new pressure to outside counsel. Some in-house teams see AI as a route to keep more work inside, while others see room for firms to take on work that previously sat outside budget limits. Shaver frames the strategic question around delivering more for clients, especially in practice areas where a firm holds differentiated expertise.

AI has not produced the promised empty calendar. Instead, lawyers report fuller schedules, longer documents, and a growing verification tax. Shaver flags the rise of 40-page forms, bloated redlines, and outputs that look polished yet lack sound reasoning. The episode makes a practical case for concise drafting, human review, and critical reasoning before any AI-generated material reaches a client or counterparty.

Agentic AI raises the stakes. Legal Technology Hub’s AI Agents in Law Map tracks hundreds of solutions, yet governance has not kept pace with new autonomy, connectors, and downstream system access. Shaver urges firms to establish traceability, unique identifiers, risk-based human oversight, enforceable policies, and a clear view of where data travels.

For firms aiming past baseline adoption, Shaver draws a line between routine personal use and strategic transformation. Daily use builds fluency, but competitive advantage grows from proprietary workflows, data foundations, client-facing collaboration spaces, and focused investment in the practices where a firm already excels. Her crystal-ball view is blunt: trusted judgment will become a scarce premium asset, AI-native firms will rise, and traditional firms will launch AI-native subsidiaries of their own.

Nonprofit, legal automation company design new AI tool to protect public benefits — from abajournal.com by Amanda Robert

An artificial intelligence tool from national nonprofit Frontline Justice and legal automation company Josef that aims to improve access to justice is rolling out across three states.

Frontline Q, an AI assistant that can help families navigate the complex Supplemental Nutrition Assistance Program, is now available in Arizona, Texas and Alaska. Using a combination of federal, state and local regulations and with oversight from legal aid lawyers, it offers answers to questions about the program’s eligibility and appeal rules.

CLM is a Zombie, ALSPs are In Trouble and Outside Counsel Budgets Cut in Half: Episode 54, Wordsmith.ai CEO Ross McNairn — from legallydisrupted.com by Zach Abramowitz
The understated founder of one of the hottest legal AI startups on the market makes bold predictions

Though not necessarily related to legaltech, these items caught my eye as well:

LAPD lets contract with surveillance giant Flock expire, citing ‘serious concerns’ over civil liberties and privacy — from techcrunch.com by Zack Whittaker

The Los Angeles Police Department (LAPD) is reportedly ending its deal with Flock Safety, a surveillance company that helps law enforcement track vehicles using thousands of its license plate cameras placed across the United States.

A senior LAPD official told news outlets, first reported by ABC7 and the Los Angeles Times, that the police department would allow its three-year contract with Flock to expire when it ends on Saturday. The department cited “serious concerns” around civil liberties and privacy. Flock’s cameras are operated by the Atlanta, Georgia-based company and not the LAPD.

‘Spraying and praying’ is ruining the Bay Area tech job market — from sfgate.com/ by Ariana Bindman
A vicious cycle of inefficiency is hurting recruiters and applicants

To survive this nightmarish job market, candidates are now “spraying and praying,” as one career coach described it — or paying resume services to blast out thousands of CVs per day to game the system and land a gig. However, according to experts in the tech industry who spoke with SFGATE, this is only creating a vicious cycle of inefficiency that hurts both workers and companies.

The AI-native university, AI literacy, AI and accessibility + other items re: AI in our learning ecosystems

On 07/22/2026, in 21st century, 24x7x365 access, accessibility / UDL, Artificial Intelligence/Agents/LLMs/and Related, colleges, communities of practice, community colleges, corporate / business world, corporate universities / corporate training, data related items, education technology, emerging technologies, experimentation, faculty/staff, game-changing environment, generational differences, higher education, human-computer interaction (HCI), innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, learning, learning ecosystem, Learning Experience Design, liberal arts, lifelong learning, personalized/customized learning, productivity / tips and tricks, student-related, teachers, teaching & learning, training / L&D, trends, United States, universities, by Daniel Christian

AI & Accessibility: 5 Practical Ways to Use LLMs to Support Inclusive Learning — from learningguild.com by Dr. Athena Joyce Stanley (B.A., M.A.E., Ph.D.)

The following strategies focus on how instructional designers can design for accessibility by embedding or enabling AI-supported tools within learning experiences. These approaches move beyond access to content and begin to support access to understanding, expression, and participation.
…
Personalized Clarification Through AI Copilots
Learners often need additional explanation, but may hesitate to ask questions in live sessions or require more individualized support.

Instructional designers can integrate AI copilots, LLM-powered conversational interfaces, into learning environments to provide on-demand clarification. These tools can act as digital coaches, helping learners understand concepts through simplified explanations and relevant examples.

This approach supports learners who benefit from additional processing time and personalized guidance.

Sample Prompt (for IDs Configuring Copilot Behavior)
You are a workplace learning coach.

Explain the following concept in a clear, simple way:

- Use plain language
- Provide one practical, job-relevant example
- Avoid jargon unless necessary (and define it if used)

Then ask one follow-up question to check for understanding.

Jeff’s posting on LinkedIn.

Teaching AI Literacy with Susan Ray — from intentionalteaching.buzzsprout.com by Derek Bruff and Susan Ray

Per Derek Bruff:
In my conversation with Susan, we talk about that syllabus activity, as well as the AI transparency journals she asks her students to keep during her courses. We also talk about how her personal background prepared her to navigate the challenges and opportunities that AI has posed to her teaching, how she approaches assessing student learning in this age of AI—especially in her online asynchronous courses—and much more.

Building the AI-Native University: Student Success and Lifelong Learning — from coursera.org

In this episode, you’ll discover:

Why building an AI-native campus requires a data-first foundation
How to build an “achievement architecture” for lifelong success
How faculty-built AI tutors cut one program’s course attrition from 40% to 10%
What it means to be a lifelong learning companion

We’re Raising the First AI Generation. They’re Pushing Back. (Rebecca Winthrop, Brookings) — from humanistxyz.substack.com by Allison Dulin Salisbury
“Young people harbor real anger about AI because they’re already experiencing its consequences in their schools, relationships, job prospects, and feeds.”

As Rebecca told me:

“Kids harbor real anger. They’re pissed about climate impacts. They’re upset about job prospects. They’re outraged about AI being used to plagiarize writing and produce counterfeit artwork. Their relationships are being affected, and they’re seeing deepfakes in their feeds.”

Our conversation explores what follows from taking those concerns seriously. We discuss cognitive stunting, the case for small, purpose-built AI models over frontier models in education, why students should spend far more time in explorer mode, and how schools can cultivate agency, curiosity, and independent thinking in an age of AI.

The interview ends with one of Rebecca’s most practical recommendations: every school should have a student AI council, not as a symbolic gesture, but with real influence over the tools their schools adopt, the ways they’re used, and the data students are asked to hand over.

Every generation of technology seems to relearn the same lesson: build with people, not for them. AI should be no exception.

[GIFTED ARTICLE] Amazon, gig companies see spike in workers on SNAP and Medicaid, study shows [Gurley & Lerman]

On 07/22/2026, in Amazon, business, career development, communities of practice, corporate / business world, Daniel S. Christian, economics, entrepreneurship, funding / grants, legislatures / government / legal, society, workplace, by Daniel Christian

Amazon, gig companies see spike in workers on SNAP and Medicaid, study shows — from washingtonpost.com by Lauren Kaori Gurley and Rachel Lerman
Amazon workers on federal aid nearly tripled between 2020 and 2025, while ride-hailing and food delivery drivers shot up on lists compiled by the U.S. Government Accountability Office.

While the number of working adults who depend on food stamps and Medicaid has ticked up since the start of the pandemic, the number of recipients who work at Amazon and on gig economy platforms has exploded, according to a new report from the U.S. Government Accountability Office.

The number of Amazon workers relying on the federal programs for the poor nearly tripled between February 2020 and September 2025, according to the report published Wednesday. And for the first time, ride-hailing and app-based food delivery companies — Uber, Lyft, DoorDash, Grubhub and Instacart — collectively ranked among the top three employers with workers receiving aid.

From DSC:
I have long disliked what the gig economy was/is doing to workers. A handful of entrepreneurs who started these companies have done very well for themselves, while the rest of the people who are doing most of the work hardly make anything. No medical insurance, no vision or dental insurance, and no retirement contributions/benefits. Amazon works its people to the bone (I saw this firsthand with our son and his deteriorating physical health while working for them), and look what it gets them? Bezos Inc. make out great — others…not so much.

Ride-hailing and food-delivery companies, meanwhile, shot past Walmart to collectively rank as the top employer of food stamp users and among the top three for Medicaid users, according to The Post’s analysis.

Free K-12 Career Literacy Resources from agilities.org

On 07/16/2026, in business, career development, collaboration, colleges, community colleges, corporate / business world, education, engagement / engaging students, engineering, entrepreneurship, experimentation, innovation, K-12 related, learning, skills, society, student-related, teachers, United States, workplace, youth, by Daniel Christian

Agilities — from agilities.org by the DeBruce Foundation; via Paul Fain
Help students build confidence and prepare for bright careers!
.

Also from Paul Fain, see:

Unlocking Opportunity: Progress on Moving More Students Toward Good Jobs — from highered.aspeninstitute.org

Released in partnership with the Community College Research Center (CCRC), Unlocking Opportunity: Progress on Moving More Students Toward Good Jobs highlights early outcomes from the first 10 colleges in the Unlocking Opportunity network. The report demonstrates that community colleges can rapidly increase enrollment in high-value workforce and transfer pathways while reducing enrollment in or improving programs with weaker labor market and bachelor’s degree outcomes.
.

The economy is shutting young adults out of career-entry jobs, analysis finds [Kalser]

On 07/15/2026, in Artificial Intelligence/Agents/LLMs/and Related, business, career development, corporate / business world, economics, student-related, United States, workplace, youth, by Daniel Christian

The economy is shutting young adults out of career-entry jobs, analysis finds — from hrdive.com by Laurel Kalser
Artificial intelligence matters, but in a “narrow, early and age-specific way,” researchers at the Federal Reserve Bank of St. Louis said.

Dive Brief:

The decline in overall job openings, exacerbated by a rising demand for artificial intelligence-related skills, is causing employment opportunities for young adults aged 18 to 24 to deteriorate, according to researchers at the Federal Reserve Bank of St. Louis.
Between April 2023 — when the U.S. labor market was at its strongest — and December 2025, the employment rate among 18- to 24-year-olds fell by more than 2 percentage points, researchers William Rodgers, III, and Alice Kassens reported in a June 30 post. The decrease appeared primarily as higher unemployment, rather than as labor force exits, “indicating that younger workers were still searching for jobs but with fewer opportunities available,” the authors noted.
By contrast, there was no comparable slide for workers aged 25-64, whose employment outcomes remained largely stable, the researchers said.

Why recruiters can’t find workers and new grads can’t find jobs (it’s not AI) — from washingtonpost.com by Jon Marcus
Experts say a major labor shortage looms because of population shifts and a mismatch between new graduates’ skills and employers’ needs.

Recent college graduates complain they can’t find entry-level jobs because artificial intelligence is taking over.

Yet, tech recruiter Matt Walsh and other experts say the growth of AI and the struggle to find entry-level work mask a bigger problem: The United States is facing what’s projected to become the largest labor shortage in its history.

In sectors such as semiconductor production, the problem isn’t AI or too few jobs, said Walsh, CEO of the Phoenix-based search firm Blue Signal.

“It’s ridiculous,” he said. “There just aren’t enough people.”

Economists warn that the worsening labor problem, due in part to a skills shortage and population shifts, will be vast and reach beyond tech.

Among the trends that have been leading to this moment: a mismatch between the careers college graduates are pursuing and the jobs employers are struggling to fill. Far fewer students are majoring in health care fields than are needed to meet demand, for instance.

“We have pumped so many young people into business and finance” when what’s really in demand are graduates in other fields, Hetrick said. “It’s like a factory producing these workers like widgets, even though society is saying, ‘We really don’t need them.’ And the factory just keeps pumping them out.”

“Teachers ban it. Employers demand it.”

Also relevant/see:

The Shifting Career Ladder — from nafez.substack.com by Nafez Dakkak
AI is changing how work works and quietly removing the pathways through which young people learn to become experts.

AI is reshaping how people build skills, enter professions, and move along the career ladder and through the labour market.

In this conversation, I sit down with Matt Sigelmen founder of LightCast and now the President of Burning Glass Institute. Matt has dedicated his career to understanding the labor market and helping society improve the connections within in it.

Matt and I explore why people and opportunities are often only “a few skills apart,” why entry-level work may be losing its traditional role as the first rung of expertise, and why schools, universities, and employers now need to rethink the pathways that turn potential into mastery.

Educators need to be deeply aligned with what these changes are, and they need to shift the AI discourse from “how” questions to “what” questions. What do we need to teach? What do we need to keep in the curriculum?

Learning Ecosystems

Every law firm/outside counsel and in-house should read this from Ford Motor’s Chief Policy Officer & General Counsel [Golan]

Digital Accessibility Lawsuits in 2026: Five Trends Companies Should Know [blog.usablenet.com]

How Explainer Video Production Turns Ideas Into Clear Stories [Williamson]

“Nikii Shaver on legal AI strategy, agentic governance, and trusted judgement” + an item on access to justice + an item from Zach Abramowitz

[GIFTED ARTICLE] Amazon, gig companies see spike in workers on SNAP and Medicaid, study shows [Gurley & Lerman]

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