A New AI Career Ladder — from ssir.org (Stanford Social Innovation Review) by Bruno V. Manno; via Matt Tower
The changing nature of jobs means workers need new education and training infrastructure to match.

AI has cannibalized the routine, low-risk work tasks that used to teach newcomers how to operate in complex organizations. Without those task rungs, the climb up the opportunity ladder into better employment options becomes steeper—and for many, impossible. This is not a temporary glitch. AI is reorganizing work, reshaping what knowledge and skills matter, and redefining how people are expected to acquire them.

The consequences ripple from individual career starts to the broader American promise of economic and social mobility, which includes both financial wealth and social wealth that comes from the networks and relationships we build. Yet the same technology that complicates the first job can help us reinvent how experience is earned, validated, and scaled. If we use AI to widen—not narrow—access to education, training, and proof of knowledge and skill, we can build a stronger career ladder to the middle class and beyond. A key part of doing this is a redesign of education, training, and hiring infrastructure.

What’s needed is a redesigned model that treats work as a primary venue for learning, validates capability with evidence, and helps people keep climbing after their first job. Here are ten design principles for a reinvented education and training infrastructure for the AI era.

  1. Create hybrid institutions that erase boundaries. …
  2. Make work-based learning the default, not the exception. …
  3. Create skill adjacencies to speed transitions. …
  4. Place performance-based hiring at the core. 
  5. Ongoing supports and post-placement mobility. 
  6. Portable, machine-readable credentials with proof attached. 
  7. …plus several more…
 

Net tuition rises at colleges, but costs are far below their peaks — from highereddive.com by Ben Unglesbee
The prices students and their families paid after aid at four-year public colleges and private nonprofits ticked up in 2025-26, per College Board estimates.

Dive Brief:

  • The average tuition and fees paid by students and their families after aid rose slightly for the 2025-26 academic year but remain well below historic peaks, according to the latest higher education pricing study from the College Board.
  • At public four-year colleges, net tuition and fees for first-time, full-time students increased just 1.3% to $2,300 from last year, when adjusted for inflation, according to the College Board’s estimates. That figure is down 48.3% from the peak in 2012-2013.
  • At private nonprofits, net tuition and fees for first-time, full-time students rose 3.7% annually to $16,910 in the 2025-26 year, when adjusted for inflation. By comparison, that’s down 14.6% from the peak for private colleges in 2006-07.

Class of 2025 says they see the effects of a tough job market — from hrdive.com by Kathryn Moody
Young workers have been particularly exposed to the changes brought by artificial intelligence tools, some research has indicated.

The Class of 2025 faced a particularly tough job market, searching for jobs earlier, submitting more applications — averaging 10 applications to the Class of 2024’s six — and receiving fewer offers on average, a National Association of Colleges and Employers study said in a recent report, in partnership with Indeed.

Graduates were more likely to accept those offers, however, even amid uncertainty; 86.7% of those offered a job had accepted in 2025, compared to 81.2% of 2024 graduates.

“Compared to earlier classes, they were more likely to say they were unsure about their plans, and more were planning to enter the military, suggesting they were unsure about private-sector employment,” NACE said in an Oct. 30 announcement regarding the report.


An addendum from DSC:
While we’re talking the workplace, careers, jobs, and such involving higher education, also see:

Careers in Educational Development with Leslie Cramblet Alvarez and Chris Hakala — from intentionalteaching.buzzsprout.com by Derek Bruff

On the show today I talk with Leslie Cramblet Alvarez and Chris Hakala, authors of the new book Understanding Educational Developers: Tales from the Center from Routledge Press. The book blends scholarship and personal narratives to explore the career trajectories of the professionals who work at CTLs (Centers for Teaching & Learning). How do academics move into these careers? And what can these careers look like over time?

Leslie Cramblet Alvarez is assistant vice provost and director of the Office of Teaching and Learning at the University of Denver. Chris Hakala is director for the Center for Excellence in Teaching, Learning, and Scholarship and professor of psychology at Springfield College.

I wanted to talk with Chris and Leslie about what they discovered while writing their book. I also wanted to know what advice they had for navigating educational development careers here in the U.S. in 2025, with higher education under attack from the federal government, a looming demographic cliff affecting enrollment and tuition, and a budget situation that for more institutions is not rosy. Leslie and Chris offer advice for faculty considering a move into a faculty development role, as well as for those of us current working at CTLs trying to plan our careers.

 

News deserts hit new high and 50 million have limited access to local news, study finds — from medill.northwestern.edu
Federal funding cuts to public broadcasting may accelerate local news crisis

EVANSTON, ILL. — The number of local news deserts in the U.S. jumped to record levels this year as newspaper closures continued unabated, and funding cuts to public radio could worsen the problem in coming months, according to the Medill State of Local News Report 2025 released today.

While the local news crisis deepened overall, Medill researchers found cause for optimism — more than 300 local news startups have launched over the past five years, 80% of which were digital-only outlets.

For the fourth consecutive year, the Medill Local News Initiative at Northwestern University’s Medill School of Journalism, Media, Integrated Marketing Communications conducted a months-long, county-by-county survey of local news organizations to identify trends in the rapidly morphing local media landscape. Researchers looked at local newspapers, digital-only sites, ethnic media and public broadcasters.


               


How Local Newsrooms Are Rethinking Political Coverage — from adigaskell.org

For decades, election reporting in the U.S. has leaned heavily on the “horse race”—who’s up, who’s down, and who’s raising the most money. But new research from the University of Kansas suggests that this approach is starting to shift, thanks to a national training program aimed at helping journalists better engage with their communities.

The program, called Democracy SOS, encourages reporters to move beyond headline polls and campaign drama. Instead, it asks them to focus on the issues people care about and explain how those issues are being tackled. In other words: less spectacle, more substance.

 

The Other Regulatory Time Bomb — from onedtech.philhillaa.com by Phil Hill
Higher ed in the US is not prepared for what’s about to hit in April for new accessibility rules

Most higher-ed leaders have at least heard that new federal accessibility rules are coming in 2026 under Title II of the ADA, but it is apparent from conversations at the WCET and Educause annual conferences that very few understand what that actually means for digital learning and broad institutional risk. The rule isn’t some abstract compliance update: it requires every public institution to ensure that all web and media content meets WCAG 2.1 AA, including the use of audio descriptions for prerecorded video. Accessible PDF documents and video captions alone will no longer be enough. Yet on most campuses, the conversation has been understood only as a buzzword, delegated to accessibility coordinators and media specialists who lack the budget or authority to make systemic changes.

And no, relying on faculty to add audio descriptions en masse is not going to happen.

The result is a looming institutional risk that few presidents, CFOs, or CIOs have even quantified.

 

 

Six Transformative Technology Trends Impacting the Legal Profession — from americanbar.org

Summary

  • Law firm leaders should evaluate their legal technology and decide if they are truly helping legal work or causing a disconnect between human and AI contributions.
  • 75% of firms now rely on cloud platforms for everything from document storage to client collaboration.
  • The rise of virtual law firms and remote work is reshaping the profession’s culture. Hybrid and remote-first models, supported by cloud and collaboration tools, are growing.

Are we truly innovating, or just rearranging the furniture? That’s the question every law firm leader should be asking as the legal technology landscape shifts beneath our feet. There are many different thoughts and opinions on how the legal technology landscape will evolve in the coming years, particularly regarding the pace of generative AI-driven changes and the magnitude of these changes.

To try to answer the question posed above, we looked at six recently published technology trends reports from influential entities in the legal technology arena: the American Bar Association, Clio, Wolters Kluwer, Lexis Nexis, Thomson Reuters, and NetDocuments.

When we compared these reports, we found them to be remarkably consistent. While the level of detail on some topics varied across the reports, they identified six trends that are reshaping the very core of legal practice. These trends are summarized in the following paragraphs.

  1. Generative AI and AI-Assisted Drafting …
  2. Cloud-Based Practice Management…
  3. Cybersecurity and Data Privacy…
  4. Flat Fee and Alternative Billing Models…
  5. Legal Analytics and Data-Driven Decision Making…
  6. Virtual Law Firms and Remote Work…
 

Psalm 56:3

When I am afraid, I put my trust in you.

Philippians 4:8

Finally, brothers and sisters, whatever is true, whatever is noble, whatever is right, whatever is pure, whatever is lovely, whatever is admirable—if anything is excellent or praiseworthy—think about such things.

1 Peter 1:24-25

24For,

“All people are like grass,
and all their glory is like the flowers of the field;
the grass withers and the flowers fall,
but the word of the Lord endures forever.”

And this is the word that was preached to you.

2 Chronicles 7:14

…if my people, who are called by my name, will humble themselves and pray and seek my face and turn from their wicked ways, then I will hear from heaven, and I will forgive their sin and will heal their land.

Psalm 57:9-11

9 I will praise you, Lord, among the nations;
I will sing of you among the peoples.
10 For great is your love, reaching to the heavens;
your faithfulness reaches to the skies.
11 Be exalted, O God, above the heavens;
let your glory be over all the earth.

24 How many are your works, Lord!
In wisdom you made them all;
the earth is full of your creatures.
25 There is the sea, vast and spacious,
teeming with creatures beyond number—
living things both large and small.
26 There the ships go to and fro,
and Leviathan, which you formed to frolic there.

27 All creatures look to you
to give them their food at the proper time.
28 When you give it to them,
they gather it up;
when you open your hand,
they are satisfied with good things.
29 When you hide your face,
they are terrified;
when you take away their breath,
they die and return to the dust.
30 When you send your Spirit,
they are created,
and you renew the face of the ground.

31 May the glory of the Lord endure forever;
may the Lord rejoice in his works—

 

KPMG wants junior consultants to ditch the grunt work and hand it over to teams of AI agents — from businessinsider.com by Polly Thompson

The Big Four consulting and accounting firm is training its junior consultants to manage teams of AI agents — digital assistants capable of completing tasks without human input.

“We want juniors to become managers of agents,” Niale Cleobury, KPMG’s global AI workforce lead, told Business Insider in an interview.

KPMG plans to give new consulting recruits access to a catalog of AI agents capable of creating presentation slides, analyzing data, and conducting in-depth research, Cleobury said.

The goal is for these agents to perform much of the analytical and administrative work once assigned to junior consultants, allowing them to become more involved in strategic decisions.


From DSC:
For a junior staff member to provide quality assurance in working with agents, an employee must know what they’re talking about in the first place. They must have expertise and relevant knowledge. Otherwise, how will they spot the hallucinations?

So the question is, how can businesses build such expertise in junior staff members while they are delegating things to an army of agents? This question applies to the next posting below as well. Having agents report to you is all well and good — IF you know when the agents are producing helpful/accurate information and when they got things all wrong.


This Is the Next Vital Job Skill in the AI Economy — from builtin.com by Saurabh Sharma
The future of tech work belongs to AI managers.

Summary: A fundamental shift is making knowledge workers “AI managers.” The most valuable employees will direct intelligent AI agents, which requires new competencies: delegation, quality assurance and workflow orchestration across multiple agents. Companies must bridge the training gap to enable this move from simple software use to strategic collaboration with intelligent, yet imperfect, systems.

The shift is happening subtly, but it’s happening. Workers are learning to prompt agents, navigate AI capabilities, understand failure modes and hand off complex tasks to AI. And if they haven’t started yet, they probably will: A new study from IDC and Salesforce found that 72 percent of CEOs think most employees will have an AI agent reporting to them within five years. This isn’t about using a new kind of software tool — it’s about directing intelligent systems that can reason, search, analyze and create.

Soon, the most valuable employees won’t just know how to use AI; they’ll know how to manage it. And that requires a fundamentally different skill set than anything we’ve taught in the workplace before.


AI agents failed 97% of freelance tasks; here’s why… — from theneurondaily.com by Grant Harvey

AI Agents Can’t Actually Do Your Job (Yet)—New Benchmark Reveals The Gap

DEEP DIVE: AI can make you faster at your job, but can only do 2-3% of jobs by itself.

The hype: AI agents will automate entire workflows! Replace freelancers! Handle complex tasks end-to-end!

The reality: a measly 2-3% completion rate.

See, Scale AI and CAIS just released the Remote Labor Index (paper), a benchmark where AI agents attempted real freelance tasks. The best-performing model earned just $1,810 out of $143,991 in available work, and yes, finishing only 2-3% of jobs.



 

…the above posting links to:

Higher Ed Is Sleepwalking Toward Obsolescence— And AI Won’t Be the Cause, Just the Accelerant — from substack.com by Steven Mintz
AI Has Exposed Higher Ed’s Hollow Core — The University Must Reinvent Itself or Fade

It begins with a basic reversal of mindset: Stop treating AI as a threat to be policed. Start treating it as the accelerant that finally forces us to build the education we should have created decades ago.

A serious institutional response would demand — at minimum — six structural commitments:

  • Make high-intensity human learning the norm.  …
  • Put active learning at the center, not the margins.  …
  • Replace content transmission with a focus on process.  …
  • Mainstream high-impact practices — stop hoarding them for honors students.  …
  • Redesign assessment to make learning undeniable.  …

And above all: Instructional design can no longer be a private hobby.


Teaching with AI: From Prohibition to Partnership for Critical Thinking — from facultyfocus.com by Michael Kiener, PhD, CRC

How to Integrate AI Developmentally into Your Courses

  • Lower-Level Courses: Focus on building foundational skills, which includes guided instruction on how to use AI responsibly. This moves the strategy beyond mere prohibition.
  • Mid-Level Courses: Use AI as a scaffold where faculty provide specific guidelines on when and how to use the tool, preparing students for greater independence.
  • Upper-Level/Graduate Courses: Empower students to evaluate AI’s role in their learning. This enables them to become self-regulated learners who make informed decisions about their tools.
  • Balanced Approach: Make decisions about AI use based on the content being learned and students’ developmental needs.

Now that you have a framework for how to conceptualize including AI into your courses here are a few ideas on scaffolding AI to allow students to practice using technology and develop cognitive skills.




80 per cent of young people in the UK are using AI for their schoolwork — from aipioneers.org by Graham Attwell

What was encouraging, though, is that students aren’t just passively accepting this new reality. They are actively asking for help. Almost half want their teachers to help them figure out what AI-generated content is trustworthy, and over half want clearer guidelines on when it’s appropriate to use AI in their work. This isn’t a story about students trying to cheat the system; it’s a story about a generation grappling with a powerful new technology and looking to their educators for guidance. It echoes a sentiment I heard at the recent AI Pioneers’ Conference – the issue of AI in education is fundamentally pedagogical and ethical, not just technological.


 

62 Modern Tree Houses Climb to Architectural Heights — from thisiscolossal.com by Grace Ebert

The arboreal designs featured in TASCHEN’s new book aren’t your dad’s Home Depot box variety. Uniquely stunning, all 62 structures in Modern Tree Houses respond to the surrounding environment, whether a tiny, winterized pod for escaping the snow or a split-level playground complete with climbing ropes and nests. Built by architects and amateurs alike, each dwelling is varied in material, layout, purpose, and aesthetic, although all thrive because of their proximity to nature’s beauty.

 


From DSC:
One of my sisters shared this piece with me. She is very concerned about our society’s use of technology — whether it relates to our youth’s use of social media or the relentless pressure to be first in all things AI. As she was a teacher (at the middle school level) for 37 years, I greatly appreciate her viewpoints. She keeps me grounded in some of the negatives of technology. It’s important for us to listen to each other.


 

The new legal intelligence — from jordanfurlong.substack.com by Jordan Furlong
We’ve built machines that can reason like lawyers. Artificial legal intelligence is becoming scalable, portable and accessible in ways lawyers are not. We need to think hard about the implications.

Much of the legal tech world is still talking about Clio CEO Jack Newton’s keynote at last week’s ClioCon, where he announced two major new features: the “Intelligent Legal Work Platform,” which combines legal research, drafting and workflow into a single legal workspace; and “Clio for Enterprise,” a suite of legal work offerings aimed at BigLaw.

Both these features build on Clio’s out-of-nowhere $1B acquisition of vLex (and its legally grounded LLM Vincent) back in June.

A new source of legal intelligence has entered the legal sector.

Legal intelligence, once confined uniquely to lawyers, is now available from machines. That’s going to transform the legal sector.


Where the real action is: enterprise AI’s quiet revolution in legal tech and beyond — from canadianlawyermag.com by Tim Wilbur
Harvey, Clio, and Cohere signal that organizational solutions will lead the next wave of change

The public conversation about artificial intelligence is dominated by the spectacular and the controversial: deepfake videos, AI-induced psychosis, and the privacy risks posed by consumer-facing chatbots like ChatGPT. But while these stories grab headlines, a quieter – and arguably more transformative – revolution is underway in enterprise software. In legal technology, in particular, AI is rapidly reshaping how law firms and legal departments operate and compete. This shift is just one example of how enterprise AI, not just consumer AI, is where real action is happening.

Both Harvey and Clio illustrate a crucial point: the future of legal tech is not about disruption for its own sake, but partnership and integration. Harvey’s collaborations with LexisNexis and others are about creating a cohesive experience for law firms, not rendering them obsolete. As Pereira put it, “We don’t see it so much as disruption. Law firms actually already do this… We see it as ‘how do we help you build infrastructure that supercharges this?’”

The rapid evolution in legal tech is just one example of a broader trend: the real action in AI is happening in enterprise software, not just in consumer-facing products. While ChatGPT and Google’s Gemini dominate the headlines, companies like Cohere are quietly transforming how organizations across industries leverage AI.

Also from canadianlawyermag.com, see:

The AI company’s plan to open an office in Toronto isn’t just about expanding territory – it’s a strategic push to tap into top technical talent and capture a market known for legal innovation.


Unseeable prompt injections in screenshots: more vulnerabilities in Comet and other AI browsers — from brave.com by Artem Chaikin and Shivan Kaul Sahib

Building on our previous disclosure of the Perplexity Comet vulnerability, we’ve continued our security research across the agentic browser landscape. What we’ve found confirms our initial concerns: indirect prompt injection is not an isolated issue, but a systemic challenge facing the entire category of AI-powered browsers. This post examines additional attack vectors we’ve identified and tested across different implementations.

As we’ve written before, AI-powered browsers that can take actions on your behalf are powerful yet extremely risky. If you’re signed into sensitive accounts like your bank or your email provider in your browser, simplysummarizing a Reddit postcould result in an attacker being able to steal money or your private data.

The above item was mentioned by Grant Harvey out at The Neuron in the following posting:


Robin AI’s Big Bet on Legal Tech Meets Market Reality — from lawfuel.com

Robin’s Legal Tech Backfire
Robin AI, the poster child for the “AI meets law” revolution, is learning the hard way that venture capital fairy dust doesn’t guarantee happily-ever-after. The London-based legal tech firm, once proudly waving its genAI-plus-human-experts flag, is now cutting staff after growth dreams collided with the brick wall of economic reality.

The company confirmed that redundancies are under way following a failed major funding push. Earlier promises of explosive revenue have fizzled. Despite around $50 million in venture cash over the past two years, Robin’s 2025 numbers have fallen short of investor expectations. The team that once ballooned to 200 is now shrinking.

The field is now swarming with contenders: CLM platforms stuffing genAI into every feature, corporate legal teams bypassing vendors entirely by prodding ChatGPT directly, and new entrants like Harvey and Legora guzzling capital to bulldoze into the market. Even Workday is muscling in.

Meanwhile, ALSPs and AI-powered pseudo-law firms like Crosby and Eudia are eating market share like it’s free pizza. The number of inhouse teams actually buying these tools at scale is still frustratingly small. And investors don’t have much patience for slow burns anymore.


Why Being ‘Rude’ to AI Could Win Your Next Case or Deal — from thebrainyacts.beehiiv.com by Josh Kubicki

TL;DR: AI no longer rewards politeness—new research shows direct, assertive prompts yield better, more detailed responses. Learn why this shift matters for legal precision, test real-world examples (polite vs. blunt), and set up custom instructions in OpenAI (plus tips for other models) to make your AI a concise analytical tool, not a chatty one. Actionable steps inside to upgrade your workflow immediately.



 

Nvidia becomes first $5 trillion company — from theaivallye.com by Barsee
PLUS: OpenAI IPO at $1 trillion valuation by late 2026 / early 2027

Nvidia has officially become the first company in history to cross the $5 trillion market cap, cementing its position as the undisputed leader of the AI era. Just three months ago, the chipmaker hit $4 trillion; it’s already added another trillion since.

Nvidia market cap milestones:

  • Jan 2020: $144 billion
  • May 2023: $1 trillion
  • Feb 2024: $2 trillion
  • Jun 2024: $3 trillion
  • Jul 2025: $4 trillion
  • Oct 2025: $5 trillion

The above posting linked to:

 

 

Custom AI Development: Evolving from Static AI Systems to Dynamic Learning Agents in 2025 — community.nasscom.in

This blog explores how custom AI development accelerates the evolution from static AI to dynamic learning agents and why this transformation is critical for driving innovation, efficiency, and competitive advantage.

Dynamic Learning Agents: The Next Generation
Dynamic learning agents, sometimes referred to as adaptive or agentic AI, represent a leap forward. They combine continuous learningautonomous action, and context-aware adaptability.

Custom AI development plays a crucial role here: it ensures that these agents are designed specifically for an enterprise’s unique needs rather than relying on generic, one-size-fits-all AI platforms. Tailored dynamic agents can:

  • Continuously learn from incoming data streams
  • Make autonomous, goal-directed decisions aligned with business objectives
  • Adapt behavior in real time based on context and feedback
  • Collaborate with other AI agents and human teams to solve complex challenges

The result is an AI ecosystem that evolves with the business, providing sustained competitive advantage.

Also from community.nasscom.in, see:

Building AI Agents with Multimodal Models: From Perception to Action

Perception: The Foundation of Intelligent Agents
Perception is the first step in building AI agents. It involves capturing and interpreting data from multiple modalities, including text, images, audio, and structured inputs. A multimodal AI agent relies on this comprehensive understanding to make informed decisions.

For example, in healthcare, an AI agent may process electronic health records (text), MRI scans (vision), and patient audio consultations (speech) to build a complete understanding of a patient’s condition. Similarly, in retail, AI agents can analyze purchase histories (structured data), product images (vision), and customer reviews (text) to inform recommendations and marketing strategies.

Effective perception ensures that AI agents have contextual awareness, which is essential for accurate reasoning and appropriate action.


From 70-20-10 to 90-10: a new operating system for L&D in the age of AI? — from linkedin.com by Dr. Philippa Hardman

Also from Philippa, see:



Your New ChatGPT Guide — from wondertools.substack.com by Jeremy Caplan and The PyCoach
25 AI Tips & Tricks from a guest expert

  • ChatGPT can make you more productive or dumber. An MIT study found that while AI can significantly boost productivity, it may also weaken your critical thinking. Use it as an assistant, not a substitute for your brain.
  • If you’re a student, use study mode in ChatGPT, Gemini, or Claude. When this feature is enabled, the chatbots will guide you through problems rather than just giving full answers, so you’ll be doing the critical thinking.
  • ChatGPT and other chatbots can confidently make stuff up (aka AI hallucinations). If you suspect something isn’t right, double-check its answers.
  • NotebookLM hallucinates less than most AI tools, but it requires you to upload sources (PDFs, audio, video) and won’t answer questions beyond those materials. That said, it’s great for students and anyone with materials to upload.
  • Probably the most underrated AI feature is deep research. It automates web searching for you and returns a fully cited report with minimal hallucinations in five to 30 minutes. It’s available in ChatGPT, Perplexity, and Gemini, so give it a try.

 


 

 

Adobe Reinvents its Entire Creative Suite with AI Co-Pilots, Custom Models, and a New Open Platform — from theneuron.ai by Grant Harvey
Adobe just put an AI co-pilot in every one of its apps, letting you chat with Photoshop, train models on your own style, and generate entire videos with a single subscription that now includes top models from Google, Runway, and Pika.

Adobe came to play, y’all.

At Adobe MAX 2025 in Los Angeles, the company dropped an entire creative AI ecosystem that touches every single part of the creative workflow. In our opinion, all these new features aren’t about replacing creators; it’s about empowering them with superpowers they can actually control.

Adobe’s new plan is to put an AI co-pilot in every single app.

  • For professionals, the game-changer is Firefly Custom Models. Start training one now to create a consistent, on-brand look for all your assets.
  • For everyday creators, the AI Assistants in Photoshop and Express will drastically speed up your workflow.
  • The best place to start is the Photoshop AI Assistant (currently in private beta), which offers a powerful glimpse into the future of creative software—a future where you’re less of a button-pusher and more of a creative director.

Adobe MAX Day 2: The Storyteller Is Still King, But AI Is Their New Superpower — from theneuron.ai by Grant Harvey
Adobe’s Day 2 keynote showcased a suite of AI-powered creative tools designed to accelerate workflows, but the real message from creators like Mark Rober and James Gunn was clear: technology serves the story, not the other way around.

On the second day of its annual MAX conference, Adobe drove home a message that has been echoing through the creative industry for the past year: AI is not a replacement, but a partner. The keynote stage featured a powerful trio of modern storytellers—YouTube creator Brandon Baum, science educator and viral video wizard Mark Rober, and Hollywood director James Gunn—who each offered a unique perspective on a shared theme: technology is a powerful tool, but human instinct, hard work, and the timeless art of storytelling remain paramount.

From DSC:
As Grant mentioned, the demos dealt with ideation, image generation, video generation, audio generation, and editing.


Adobe Max 2025: all the latest creative tools and AI announcements — from theverge.com by Jess Weatherbed

The creative software giant is launching new generative AI tools that make digital voiceovers and custom soundtracks for videos, and adding AI assistants to Express and Photoshop for web that edit entire projects using descriptive prompts. And that’s just the start, because Adobe is planning to eventually bring AI assistants to all of its design apps.


Also see Adobe Delivers New AI Innovations, Assistants and Models Across Creative Cloud to Empower Creative Professionals plus other items from the News section from Adobe


 

 
© 2025 | Daniel Christian