First, we’re working to build out the OpenAI Jobs Platform.
If you’re a business looking to hire an AI-savvy employee, or you just need help with a specific task, finding the right person can be hit-or-miss. The OpenAI Jobs Platform will have knowledgeable, experienced candidates at every level, and opportunities for anyone looking to put their skills to use. And we’ll use AI to help find the perfect matches between what companies need and what workers can offer.
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We also realize that anyone looking to hire, whether it’s through the Jobs Platform or elsewhere, needs to trust that candidates are actually fluent in AI. Most businesses, including small businesses, think AI is the key to their future. And most of the companies we talk to want to make sure their employees know how to use our tools.
That’s the idea behind our new OpenAI Certifications.
Studies show? that AI-savvy workers are more valuable, more productive, and are paid more than workers without AI skills. That’s why, earlier this year, we launched the OpenAI Academy, a free, online learning platform that has helped connect more than 2 million people with the resources, workshops, and communities they need to master AI tools.
As news organizations scramble to update their digital toolkits, I invited one of the most tech savvy journalism advisors I know to share his guidance.
In the guest post below, Joe Amditis shares a bunch of useful resources. A former CUNY student of mine, Joe now serves as associate director of operations at the Center for Cooperative Media at Montclair State University.
Bottom line: The best engineers became 100x better with AI coding tools. Now the same transformation is hitting law. Joel [the CTO at Thomson Reuters] predicts the best attorneys who master these tools will become 100x more powerful than before.
4. Legal Startups Reshape the Market for Judges and Practitioners
Legal services are no longer dominated by traditional providers. Business Insider reports on a new wave of nimble “Law Firm 2.0” entities—AI-enabled startups offering fixed cost services for specific tasks such as contract reviews or drafting. The LegalTech Lab is helping launch such disruptors with funding and guidance.
At the same time, alternative legal service providers or ALSPs are integrating generative AI, moving beyond cost-efficient support to providing legal advice and enhanced services—often on subscription models.
In 2025 so far, legal technology has moved from incremental adoption to integral transformation. Generative AI, investments, startups, and regulatory readiness are reshaping the practice of law—for lawyers, judges, and the rule of law.
I recently finished reading Ethan Mollick‘s excellent book on artificial intelligence, entitled Co-Intelligence: Living and Working with AI. He does a great job of explaining what it is, how it works, how it best can be used, and where it may be headed.
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The first point that resonated with me is that artificial intelligence tools can take those with poor skills in certain areas and significantly elevate their output. For example, Mollick cited a study that demonstrated that the performance of law students at the bottom of their class got closer to that of the top students with the use of AI.
Lawyers and law firms need to begin thinking and planning for how the coming skill equalization will impact competition and potentially profitability. They need to consider how the value of what they provide to their clients will be greater than their competition. They need to start thinking about what skill will set them apart in the new AI driven world.
Welcome to the new normal: the AI First Draft. Clients—from everyday citizens to solo entrepreneurs to sophisticated in-house counsel—are increasingly using AI to create the first draft of legal documents before outside counsel even enters the conversation. Contracts, memos, emails, issue spotters, litigation narratives: AI can now do it all.
This means outside counsel is now navigating a very different kind of document review and client relationship. One that comes with hidden risks, awkward conversations, and new economic pressures.
Here are the three things every lawyer needs to start thinking about when reviewing client-generated work product.
1. The Prompt Problem: What Was Shared, and With Whom?… 2. The Confidence Barrier: When AI Sounds Right, But Isn’t… 3. The Economic Shift: Why AI Work Can Cost More, Not Less…
Business leaders across the world are grappling with a reality that would have seemed like science fiction just a few decades ago: Artificial intelligence systems dubbed AI agents are becoming colleagues, not just tools. At many organizations, HR pros are already developing balanced and thoughtful machine-people workforces that meet business goals.
At Skillsoft, a global corporate learning company, Chief People Officer Ciara Harrington has spent the better part of three years leading digital transformation in real time. Through her front-row seat to CEO transitions, strategic pivots and the rapid acceleration of AI adoption, she’s developed a strong belief that organizations must be agile with people operations.
‘No role that’s not a tech role’ Under these modern conditions, she says, technology is becoming a common language in the workplace. “There is no role that’s not a tech role,” Harrington said during a recent discussion about the future of work. It’s a statement that gets at the heart of a shift many HR leaders are still coming to terms with.
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But a key question remains: Who will manage the AI agents, specifically, HR leaders or someone else?
SINGAPORE Sept. 3, 2025 /PRNewswire/ — Today, Midoo AIproudly announces the launch of the world’s first AI language learning agent, a groundbreaking innovation set to transform language education forever.
For decades, language learning has pursued one ultimate goal: true personalization. Traditional tools offered smart recommendations, gamified challenges, and pre-written role-play scripts—but real personalization remained out of reach. Midoo AI changes that. Here is the >launch video of Midoo AI.
Imagine a learning experience that evolves with you in real time. A system that doesn’t rely on static courses or scripts but creates a dynamic, one-of-a-kind language world tailored entirely to your needs. This is the power of Midoo’s Dynamic Generation technology.
“Midoo is not just a language-learning tool,” said Yvonne, co-founder of Midoo AI. “It’s a living agent that senses your needs, adapts instantly, and shapes an experience that’s warm, personal, and alive. Learning is no longer one-size-fits-all—now, it’s yours and yours alone.”
Language learning apps have traditionally focused on exercises, quizzes, and progress tracking. Midoo AI introduces a different approach. Instead of presenting itself as a course provider, it acts as an intelligent learning agent that builds, adapts, and sustains a learner’s journey.
This review examines how Midoo AI operates, its feature set, and what makes it distinct from other AI-powered tutors.
Midoo AI in Context: Purpose and Position
Midoo AI is not structured around distributing lessons or modules. Its core purpose is to provide an agent-like partner that adapts in real time. Where many platforms ask learners to select a “level” or “topic,”
Midoo instead begins by analyzing goals, usage context, and error patterns. The result is less about consuming predesigned units and more about co-constructing a pathway.
Turning Time Saved Into Better Learning
AI can save teachers time, but what can that time be used for (besides taking a breath)? For most of us, it means redirecting energy into the parts of teaching that made us want to pursue this profession in the first place: connecting with our students and helping them grow academically.
Differentiation Every classroom has students with different readiness levels, language needs, and learning preferences. AI tools like Diffit or MagicSchool can instantly create multiple versions of a passage or assignment, differentiated by grade level, complexity, or language. This allows every student to engage with the same core concept, moving together as one cohesive class. Instead of spending an evening retyping and rephrasing, teachers can review and tweak AI drafts in minutes, ready for the next lesson.
Mass Intelligence — from oneusefulthing.org by Ethan Mollick From GPT-5 to nano banana: everyone is getting access to powerful AI
When a billion people have access to advanced AI, we’ve entered what we might call the era of Mass Intelligence. Every institution we have — schools, hospitals, courts, companies, governments — was built for a world where intelligence was scarce and expensive. Now every profession, every institution, every community has to figure out how to thrive with Mass Intelligence. How do we harness a billion people using AI while managing the chaos that comes with it? How do we rebuild trust when anyone can fabricate anything? How do we preserve what’s valuable about human expertise while democratizing access to knowledge?
By the time today’s 9th graders and college freshman enter the workforce, the most disruptive waves of AGI and robotics may already be embedded into part society.
What replaces the old system will not simply be a more digital version of the same thing. Structurally, schools may move away from rigid age-groupings, fixed schedules, and subject silos. Instead, learning could become more fluid, personalized, and interdisciplinary—organized around problems, projects, and human development rather than discrete facts or standardized assessments.
AI tutors and mentors will allow for pacing that adapts to each student, freeing teachers to focus more on guidance, relationships, and high-level facilitation. Classrooms may feel less like miniature factories and more like collaborative studios, labs, or even homes—spaces for exploring meaning and building capacity, not just delivering content.
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If students are no longer the default source of action, then we need to teach them to:
Design agents,
Collaborate with agents,
Align agentic systems with human values,
And most of all, retain moral and civic agency in a world where machines act on our behalf.
We are no longer educating students to be just doers.
We must now educate them to be judges, designers, and stewards of agency.
Meet Your New AI Tutor — from wondertools.substack.com by Jeremy Caplan Try new learning modes in ChatGPT, Claude, and Gemini
AI assistants are now more than simple answer machines. ChatGPT’s new Study Mode, Claude’s Learning Mode, and Gemini’s Guided Learningrepresent a significant shift. Instead of just providing answers, these free tools act as adaptive, 24/7 personal tutors.
That’s why, in preparation for my next bootcamp which kicks off September 8th 2025, I’ve just completed a full refresh of my list of the most powerful & popular AI tools for Instructional Designers, complete with tips on how to get the most from each tool.
The list has been created using my own experience + the experience of hundreds of Instructional Designers who I work with every week.
It contains the 50 most powerful AI tools for instructional design available right now, along with tips on how to optimise their benefits while mitigating their risks.
Addendums on 9/4/25:
AI Companies Roll Out Educational Tools — from insidehighered.com by Ray Schroeder This fall, Google, Anthropic and OpenAI are rolling out powerful new AI tools for students and educators, each taking a different path to shape the future of learning.
So here’s the new list of essential skills I think my students will need when they are employed to work with AI five years from now:
They can follow directions, analyze outcomes, and adapt to change when needed.
They can write or edit AI to capture a unique voice and appropriate tone in sync with an audience’s needs
They have a deep understanding of one or more content areas of a particular profession, business, or industry, so they can easily identify factual errors.
They have a strong commitment to exploration, a flexible mindset, and a broad understanding of AI literacy.
They are resilient and critical thinkers, ready to question results and demand better answers.
They are problem solvers.
And, of course, here is a new rubric built on those skills:
What’s changing is not the foundation—it’s the ecosystem. Teams are looking to create more flexible, scalable, and diverse learning experiences that meet people where they are.
What Did We Explore? Everyone seems to have a take on what’s happening in L&D these days. From bold claims about six-figure roles to debates over whether portfolios or degrees matter more, everyone seems to have a take. So, we wanted to get to the heart of it by exploring five of the biggest, most debated areas shaping our work today:
Salaries: Are compensation trends really keeping pace with the value we deliver?
Hiring: What skills are managers actually looking for—and are those ATS horror stories true?
Portfolios: Are portfolios helping candidates stand out, and what are hiring managers actually looking for?
Tools & Modalities: What types of training are teams building, and what tools are they using to build it?
Artificial Intelligence: Who’s using it, how, and what concerns still exist?
These five areas are shaping the future of instructional design—not just for job seekers, but for team leaders, hiring managers, and the entire ecosystem of L&D professionals.
The takeaway? A portfolio is more than a collection of projects—it’s a storytelling tool. The ones that stand out highlight process, decision-making, and results—not just pretty screens.
Educators use AI in and out of the classroom Educators’ uses range from developing course materials and writing grant proposals to academic advising and managing administrative tasks like admissions and financial planning.
Educators aren’t just using chatbots; they’re building their own custom tools with AI
Faculty are using Claude Artifacts to create interactive educational materials, such as chemistry simulations, automated grading rubrics, and data visualization dashboards.
Educators tend to automate the drudgery while staying in the loop for everything else
Tasks requiring significant context, creativity, or direct student interaction—like designing lessons, advising students, and writing grant proposals—are where educators are more likely to use AI as an enhancement. In contrast, routine administrative work such as financial management and record-keeping are more automation-heavy.
Some educators are automating grading; others are deeply opposed
In our Claude.ai data, faculty used AI for grading and evaluation less frequently than other uses, but when they did, 48.9% of the time they used it in an automation-heavy way (where the AI directly performs the task). That’s despite educator concerns about automating assessment tasks, as well as our surveyed faculty rating it as the area where they felt AI was least effective.
Voice-powered AI meets a visual companion for entertainment, everyday help, and everything in between.
Redmond, Wash., August 27—Today, we’re announcing the launch ofCopilot on select Samsung TVs and monitors, transforming the biggest screen in your home into your most personal and helpful companion—and it’s free to use.
Copilot makes your TV easier and more fun to use with its voice-powered interface, friendly on-screen character, and simple visual cards. Now you can quickly find what you’re looking for and discover new favorites right from your living room.
Because it lives on the biggest screen in the home, Copilot is a social experience—something you can use together with family and friends to spark conversations, help groups decide what to watch, and turn the TV into a shared space for curiosity and connection.
Young workers are getting hit in fields where generative-AI tools such as ChatGPT can most easily automate tasks done by humans, such as software development, according to a paper released Tuesday by three Stanford University economists. They crunched anonymized data on millions of employees at tens of thousands of firms, including detailed information on workers’ ages and jobs, making this one of clearest indicators yet of AI’s disruptive impact.
Young workers in jobs where AI could act as a helper, rather than a replacement, actually saw employment growth, economists found.
The vocational education sector is incredibly diverse, covering everything from trades like building and construction, electrical, plumbing and automotive through to allied health, childcare, education, the creative arts and the technology industry. In Canberra, we heard from people representing every corner of the industry, including education, retail, tourism, finance and digital technologies. Every one of these industries is being impacted by the current AI boom.
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A theme of the day was that whilst the vocational education sector is seen as a slow-moving beast with its own peculiar red tape, it is still possible to respond to emerging technologies like artificial intelligence, and there’s an imperative to do so.
Coming back to GenAI for small business owners, a qualified plumber running their own business, either as a solo operator or as manager of a team, probably doesn’t have many opportunities to keep up to date with the rapid developments of digital technologies. They’re far too busy doing their job.
So vocational education and training can be an initial space to develop some skills and understanding of the technology in a way which can be beneficial for managing that day-to-day job.
And speaking of the trade schools/vocational world…
Social media opens a window to traditional trades for young workers — from washingtonpost.com by Taylor Telford; this is a gifted article Worker influencers are showing what life is like in fields such as construction, plumbing and manufacturing. Trade schools are trying to make the most of it.
Social media is increasingly becoming a destination for a new generation to learn about skilled trades — at a time when many have grown skeptical about the cost of college and the promise of white-collar jobs. These posts offer authentic insight as workers talk openly about everything from their favorite workwear to safety and payday routines.
The exposure is also changing the game for trade schools and employers in such industries as manufacturing and construction, which have long struggled to attract workers. Now, some are evolving their recruiting tactics by wading into content creation after decades of relying largely on word of mouth.
The AI Education Revolution — from linkedin.com by Whitney Kilgore We’re witnessing the biggest shift in education since the textbook—and most institutions are still deciding whether to allow it.
On the surface, ILTACON 2025, the International Legal Technology Association’s largest annual legal technology event, had all the makings of a great conference. But despite the thought-provoking sessions and keynotes, networking opportunities and PR fanfare, I couldn’t shake the sense that we were in the midst of a seismic shift in legal tech, surrounded by the restless energy of a boomtown.
… The gold rush
It wasn’t ILTACON that bothered me; it was the heady, gold-rushed, “anything goes and whatever sticks works” environment that was unsettling. While this year’s conference was pirate-themed, it felt more like the Wild West to me.
This attitude permeated the conference, driven largely by the frenzied, frontier-style artificial intelligence revolution. The AI train is hurtling forward at lightning speed, destination unknown, and everyone is trying to cash in before it derails.
Two themes emerged from my discussions. First, no matter who you spoke to, “agentic AI,” meaning AI that autonomously takes purposeful actions, was a buzzword that cropped up often, whether during press briefings or over drinks. Another key trend was the race to become the generative AI home base for legal professionals.
— Nicole Black
“We are at the start of the biggest disruption to the legal profession in its history.”
Is AI the technology that will finally force lawyer tech competence? With rapid advances and the ability to address numerous problems and pain points in our legal systems, AI simply can’t be ignored. Dennis & Tom welcome Bridget McCormack to discuss her perspectives on current AI trends and other exciting new tech applications in legal…
Despite concerns about widespread job losses, AI adoption is expected to have only a modest and relatively temporary impact on employment levels.
Goldman Sachs Research estimates that unemployment will increase by half a percentage point during the AI transition period as displaced workers seek new positions.
If current AI use cases were expanded across the economy and reduced employment proportionally to efficiency gains, an estimated 2.5% of US employment would be at risk of related job loss.
Occupations with higher risk of being displaced by AI include computer programmers, accountants and auditors, legal and administrative assistants, and customer service representatives.
The Neuron recently highlighted the above item. Here is Grant Harvey’s take on that and other AI-related items:
Goldman Sachs’ says AI’s job hit will be real… but thankfully, brief. Goldman Sachs says AI will lift productivity with only brief job losses, which we think means it’s time to shift our work mindset from set roles to outcome-based delivery, leading to more small teams who win back local market share from slower moving corporations.
UK businesses are dialing back hiring for jobs that are likely to be affected by the rollout of artificial intelligence, a study found, suggesting the new technology is accentuating a slowdown in the nation’s labor market. Job vacancies have declined across the board in the UK as employers cut costs in the face of sluggish growth and high borrowing rates, with the overall number of online job postings down 31% in the three months to May compared with the same period in 2022, a McKinsey & Co. analysis found. Tiwa Adebayo joins Stephen Carroll on Bloomberg Radio to discuss the details.
I talked to Sam Altman about the GPT-5 launch fiasco – from theverge.com by Alex Heath Over dinner, OpenAI CEO’s addressed criticism of GPT-5’s rollout, the AI bubble, brain-computer interfaces, buying Google Chrome, and more.
But throughout the night, it becomes clear to me that this dinner is about OpenAI’s future beyond GPT-5. OpenAI’s executives give the impression that AI model launches are less important than they were when GPT-4 launched in 2023. After all, OpenAI is a very different company now, focused on upending legacy players in search, consumer hardware, and enterprise software.
OpenAI shares some new details about those efforts.
Learn something new. Map out a personalized curriculum
Try this: Give an AI assistant context about what you want to learn, why, and how.
Detail your rationale and motivation, which may impact your approach.
Note your current knowledge or skill level, ideally with examples.
Summarize your learning preferences
Note whether you prefer to read, listen to, or watch learning materials.
Mention if you like quizzes, drills, or exercises you can do while commuting or during a break at work.
If you appreciate learning games, task your AI assistant with generating one for you, using its coding capabilities detailed below.
Ask for specific book, textbook, article, or learning path recommendations using the Web search or Deep Research capabilities of Perplexity, ChatGPT, Gemini or Claude. They can also summarize research literature about effective learning tactics.
If you need a human learning partner, ask for guidance on finding one or language you can use in reaching out.
GPT-5 for Instructional Designers — from drphilippahardman.substack.com by Dr Philippa Hardman 10 Hacks to Work Smarter & Safer with OpenAI’s Latest Model
The TLDR is that as Instructional Designers, we can’t afford to miss some of the very real benefits of GPT-5’s potential, but we also can’t ensure our professional standards or learner outcomes if we blindly accept its outputs without due testing and validation.
For this reason, I decided to synthesise the latest GPT-5 research—from OpenAI’s technical documentation to independent security audits to real-world user testing—into 10 essential reality checks for using GPT-5 as an Instructional Designer.
These aren’t theoretical exercises; they’re practical tests designed to help you safely unlock GPT-5’s benefits while identifying and mitigating its most well-documented limitations.
While I regularly use tools like ChatGPT, Grammarly, Microsoft Copilot, and even YouTube Premium (I would cancel Netflix before this), Perplexity has earned a top spot in my toolkit. It blends AI and real-time web search into one seamless, research-driven platform that saves time and improves the quality of information I rely on every day.
