How to Design with AI in 2026 (based on the most compelling research published in 2025). — from linkedin.com by Dr. Philippa Hardman
What’s Happening to Jobs for New Grads — from linkedin.com by Jeff Selingo
No matter where you go to college, the job market math for new graduates is grim right now, as I write in a new article out yesterday in New York magazine.
There were 15% fewer entry-level and internship job postings in 2025 than the year before, according to Handshake, a job-search platform popular with college students; meanwhile, applications per posting rose 26%.
How much AI is to blame for the fragile entry-level job market is unclear. Several research studies show AI is hitting young college-educated workers disproportionately, but broader economic forces are part of the story, too.
As Christine Y. Cruzvergara, Handshake’s chief education strategy officer, told me, AI isn’t “taking” jobs so much as employers are “choosing” to replace parts of jobs with automation rather than redesign roles around workers. “They’re replacing people instead of enabling their workforce,” she said.
Today’s graduates are stuck in an in-between moment. Many started college before AI mattered and graduated into a labor market reshaped almost overnight, where entry-level roles are disappearing faster than students can adapt.
The following resources were mentioned in Paul Fain’s posting entitled, “High Demand, Low Wage“ — from the-job.beehiiv.com by Paul Fain
- AI And Automation Will Take 6% Of US Jobs By 2030 — from forrester.com by J.P. Gownder
- Measuring US workers’ capacity to adapt to AI-driven job displacement — from brookings.edu by Sam Manning, Tomás Aguirre, Mark Muro, and Shriya Methkupally
- Anthropic Economic Index report: economic primitives — from anthropic.com
The US wants more apprenticeships. The UK figured out how to make them coveted roles — from hechingerreport.org by Kelly Field
‘Degree apprenticeships’ that pair bachelor’s with jobs can be harder to get into than elite colleges
Most students here and in the United States wouldn’t get access to expensive equipment like this until graduate school. Goshawk — a 21-year-old undergraduate student and one of 149 “degree apprentices” employed by AstraZeneca across the U.K. — started using them his second week in.
“It shows the trust we’ve been given,” said Goshawk, who is working nearly full time while studying toward a degree in chemical science at Manchester Metropolitan University that his employer is paying for. By the time he graduates next spring, he will have earned roughly 100,000 pounds (approximately $130,000) in wages, on top of the tuition-free education.
Degree apprenticeships like Goshawk’s have exploded across England since their introduction a decade ago. More than 60,000 apprentices began programs leading to the U.K. equivalent of bachelor’s and master’s degrees in the 2024-25 academic year, in fields as varied as engineering, digital technology, health care, law and business.
AI Is Quietly Rewiring the ADDIE Model (In a Good Way) — from drphilippahardman.substack.com by Dr. Philippa Hardman
The traditional ADDIE workflow isn’t dead, but it is evolving
The real story isn’t what AI can produce — it’s how it changes the decisions we make at every stage of instructional design.
After working with thousands of instructional designers on my bootcamp, I’ve learned something counterintuitive: the best teams aren’t the ones with the fanciest AI tools — they’re the ones who know when to use which mode—and when to use none at all.
Once you recognise that, you start to see instructional design differently — not as a linear process, but as a series of decision loops where AI plays distinct roles.
In this post, I show you the 3 modes of AI that actually matter in instructional design — and map them across every phase of ADDIE so you know exactly when to let AI run, and when to slow down and think.
Also see:
Generative AI for Course Design: Writing Effective Prompts for Multiple Choice Question Development — from onlineteaching.umich.edu by Hedieh Najafi
In higher education, developing strong multiple-choice questions can be a time-intensive part of the course design process. Developing such items requires subject-matter expertise and assessment literacy, and for faculty and designers who are creating and producing online courses, it can be difficult to find the capacity to craft quality multiple-choice questions.
At the University of Michigan Center for Academic Innovation, learning experience designers are using generative artificial intelligence to streamline the multiple-choice question development process and help ameliorate this issue. In this article, I summarize one of our projects that explored effective prompting strategies to develop multiple-choice questions with ChatGPT for our open course portfolio. We examined how structured prompting can improve the quality of AI-generated assessments, producing relevant comprehension and recall items and options that include plausible distractors.
Achieving this goal enables us to develop several ungraded practice opportunities, preparing learners for their graded assessments while also freeing up more time for course instructors and designers.
What AI-Generated Voice Technology Means For Creators And Brands — from bitrebels.com by Ryan Mitchell
Voice has become one of the most influential elements in how digital content is experienced. From podcasts and videos to apps, ads, and interactive platforms, spoken audio shapes how messages are understood and remembered. In recent years, the rise of the ai voice generator has changed how creators and brands approach audio production, lowering barriers while expanding creative possibilities.
Rather than relying exclusively on traditional voice recording, many teams now use AI-generated voices as part of their content and brand strategies. This shift is not simply about efficiency; it reflects broader changes in how digital experiences are produced, scaled, and personalised.
The Future Role Of AI-Generated Voice
As AI voice technology continues to improve, its role in creative and brand workflows will likely expand. Future developments may include more adaptive voices that respond to context, audience behaviour, or emotional cues in real time. Rather than replacing traditional voice work, AI-generated voice is becoming another option in a broader creative toolkit, one that offers speed, flexibility, and accessibility.
Shoppers will soon be able to make purchases directly through Google’s Gemini app and browser.
Google and Walmart Join Forces to Shape the Future of Retail — from adweek.com by Lauren Johnson
At NRF, Sundar Pichai and John Furner revealed how AI and drones will shape shopping in 2026 and beyond
One of the biggest reveals is that shoppers will be able to purchase Walmart and Sam’s Club products through Google’s AI chatbot Gemini.
There are two ways instructional designers are using AI. The first is obvious. The second is a superpower. — from linkedin.com by Dr Philippa Hardman
For other L&D related items, see the following items from the Learning Guild:
- Your Past Skills Are Your L&D Superpower — by Armando Contreraz
- AI Is Not the Answer to Everything in L&D — by Peter Lazaro
- AI Clarity: 4 Mindset Shifts Learning Leaders Need Before Building an AI Strategy — by Peter Lazaro
Community colleges are training the next generation of manufacturing workers — from manufacturingdive.com by Michelle No
Rutgers University explored how community colleges are responding to regional workforce training demands. Clark State College and Columbus State Community College are among those leading the way.
One underrated option may hold the most promise for workforce growth: the local community college.
That’s according to a series of reports by The Rutgers Education and Employment Research Center released in October, which examines the “hidden innovative structure” of America’s community colleges.
Community colleges excel in ways conducive to a successful manufacturing career, said Shalin Jyotishi, founder of the Future of Work & Innovation Economy Initiative at think tank New America.
Work from Home Jobs No Experience — from intelligenthq.com by A.Peyman Khosravani
Work from home jobs with no experience can help you earn money from home, even if you are new and have never done a remote job before. If you are looking for work from home jobs with no experience and aren’t sure which are real (and worth your time), you’re in the right place. In this guide, you will find real, beginner-friendly remote jobs you can do from home, even if you have never worked remotely before.
We will explain the best entry-level options, what they may pay, what you need to get started, and how to avoid scams. I will also share simple tips to help you get work-from-home jobs with no experience and start remote jobs faster.
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1) What is the best work from home with no experience?
The best work-from-home jobs with no experience are usually remote customer service, transcription, AI task work, or moderation, since training and guidelines are provided.
2) What jobs can you do online from home with no experience?
You can do online customer support, transcription/captioning, microtasks, paid research studies, and entry-level AI evaluation tasks.
Rebuilding The First Rung Of The Opportunity Ladder — from forbes.com by Bruno V. Manno
Two-thirds of employers say most new hires are not fully prepared for their roles, citing “experience,” not technical skill, as the greatest shortfall. At the same time, 61% of companies have raised their experience requirements.
As a result, many so-called entry-level roles now demand two to five years of prior work experience. The first rung of the career ladder has been pulled even farther out of reach for new job seekers. A portfolio—or full-spectrum—model of work-based learning is one promising way to rebuild that rung.
Experience has become what Deloitte calls “the new currency of employability.” But the places where young people once earned that currency are disappearing.
How Your Learners *Actually* Learn with AI — from drphilippahardman.substack.com by Dr. Philippa Hardman
What 37.5 million AI chats show us about how learners use AI at the end of 2025 — and what this means for how we design & deliver learning experiences in 2026
Last week, Microsoft released a similar analysis of a whopping 37.5 million Copilot conversations. These conversation took place on the platform from January to September 2025, providing us with a window into if and how AI use in general — and AI use among learners specifically – has evolved in 2025.
Microsoft’s mass behavioural data gives us a detailed, global glimpse into what learners are actually doing across devices, times of day and contexts. The picture that emerges is pretty clear and largely consistent with what OpenAI’s told us back in the summer:
AI isn’t functioning primarily as an “answers machine”: the majority of us use AI as a tool to personalise and differentiate generic learning experiences and – ultimately – to augment human learning.
Let’s dive in!
Learners don’t “decide” to use AI anymore. They assume it’s there, like search, like spellcheck, like calculators. The question has shifted from “should I use this?” to “how do I use this effectively?”
8 AI Agents Every HR Leader Needs To Know In 2026 — from forbes.com by Bernard Marr
So where do you start? There are many agentic tools and platforms for AI tasks on the market, and the most effective approach is to focus on practical, high-impact workflows. So here, I’ll look at some of the most compelling use cases, as well as provide an overview of the tools that can help you quickly deliver tangible wins.
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Some of the strongest opportunities in HR include:
- Workforce management, administering job satisfaction surveys, monitoring and tracking performance targets, scheduling interventions, and managing staff benefits, medical leave, and holiday entitlement.
- Recruitment screening, automatically generating and posting job descriptions, filtering candidates, ranking applicants against defined criteria, identifying the strongest matches, and scheduling interviews.
- Employee onboarding, issuing new hires with contracts and paperwork, guiding them to onboarding and training resources, tracking compliance and completion rates, answering routine enquiries, and escalating complex cases to human HR specialists.
- Training and development, identifying skills gaps, providing self-service access to upskilling and reskilling opportunities, creating personalized learning pathways aligned with roles and career goals, and tracking progress toward completion.
25 Big Ideas that will define 2026 — from linkedin.com by LinkedIn News
This year’s predictions capture a world in flux, where technology and humanity will press closer than ever, fueling new opportunities and tensions.
Blockchain: Blockchain technology will create new ways for creators to keep more of their revenue by enabling them to host their own content, bypassing traditional social media platforms that take a cut of their earnings.
3.AI: Artificial intelligence will enhance creators’ ability to scale their personal brands exponentially — producing more content, creating virtual influencers and expanding reach in ways we’ve never seen.
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Laws around artificial intelligence in mental health care are set to change dramatically in 2026, in the wake of lawsuits alleging harm or “psychosis” linked to AI tools. After years of rapid adoption — and little oversight — regulators will move to treat therapy chatbots more like medical devices than lifestyle apps.
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Small businesses — which make up 90% of companies globally — will be the top destination for young jobseekers in 2026.
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Generative engine optimization (GEO) is set to replace search engine optimization (SEO) as the way brands get discovered in the year ahead. As consumers turn to AI chatbots, agentic workflows and answer engines, appearing prominently in generative outputs will matter more than ranking in search engines.




