The Verge | What’s Next With AI | February 2024 | Consumer Survey
DC: Just because we can doesn’t mean we should.
It brings to mind #AI and #robotics and the #military — hmmmm…. https://t.co/1J4XKiHRUl
— Daniel Christian (he/him/his) (@dchristian5) April 25, 2024
Microsoft AI creates talking deepfakes from single photo — from inavateonthenet.net
The Great Hall – where now with AI? It is not ‘Human Connection V Innovative Technology’ but ‘Human Connection + Innovative Technology’ — from donaldclarkplanb.blogspot.com by Donald Clark
The theme of the day was Human Connection V Innovative Technology. I see this a lot at conferences, setting up the human connection (social) against the machine (AI). I think this is ALL wrong. It is, and has always been a dialectic, human connection (social) PLUS the machine. Everyone had a smartphone, most use it for work, comms and social media. The binary between human and tech has long disappeared.
Techno-Social Engineering: Why the Future May Not Be Human, TikTok’s Powerful ForYou Algorithm, & More — from by Misha Da Vinci
Things to consider as you dive into this edition:
- As we increasingly depend on technology, how is it changing us?
- In the interaction between humans and technology, who is adapting to whom?
- Is the technology being built for humans, or are we being changed to fit into tech systems?
- As time passes, will we become more like robots or the AI models we use?
- Over the next 30 years, as we increasingly interact with technology, who or what will we become?
It’s been an insane week for AI (part 2)
Here are 14 most impressive reveals from this week:
1/ China just released OpenAI’s Sora rival “Vidu” which can create realistic clips in seconds.pic.twitter.com/MnTv9Wxpef
— Barsee ? (@heyBarsee) April 27, 2024
Description:
I recently created an AI version of myself—REID AI—and recorded a Q&A to see how this digital twin might challenge me in new ways. The video avatar is generated by Hour One, its voice was created by Eleven Labs, and its persona—the way that REID AI formulates responses—is generated from a custom chatbot built on GPT-4 that was trained on my books, speeches, podcasts and other content that I’ve produced over the last few decades. I decided to interview it to test its capability and how closely its responses match—and test—my thinking. Then, REID AI asked me some questions on AI and technology. I thought I would hate this, but I’ve actually ended up finding the whole experience interesting and thought-provoking.
From DSC:
This ability to ask questions of a digital twin is very interesting when you think about it in terms of “interviewing” a historical figure. I believe character.ai provides this kind of thing, but I haven’t used it much.
Colleges are now closing at a pace of one a week. What happens to the students? — from hechingerreport.org by Jon Marcus
Most never finish their degrees, and alumni wonder about the value of degrees they’ve earned
About one university or college per week so far this year, on average, has announced that it will close or merge. That’s up from a little more than two a month last year, according to the State Higher Education Executive Officers Association, or SHEEO.
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Most students at colleges that close give up on their educations altogether. Fewer than half transfer to other institutions, a SHEEO study found. Of those, fewer than half stay long enough to get degrees. Many lose credits when they move from one school to another and have to spend longer in college, often taking out more loans to pay for it.
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Colleges are almost certain to keep closing. As many as one in 10 four-year colleges and universities are in financial peril, the consulting firm EY Parthenon estimates.
Students who transferlose an average of 43 percentof the credits they’ve already earned and paid for, the Government Accountability Office found in the most recent comprehensive study of this problem.
Also relevant:
Forbes 2024 AI 50 List: Top Artificial Intelligence Startups — from forbes.com by Kenrick Cai
The artificial intelligence sector has never been more competitive. Forbes received some 1,900 submissions this year, more than double last year’s count. Applicants do not pay a fee to be considered and are judged for their business promise and technical usage of AI through a quantitative algorithm and qualitative judging panels. Companies are encouraged to share data on diversity, and our list aims to promote a more equitable startup ecosystem. But disparities remain sharp in the industry. Only 12 companies have women cofounders, five of whom serve as CEO, the same count as last year. For more, see our full package of coverage, including a detailed explanation of the list methodology, videos and analyses on trends in AI.
Adobe Previews Breakthrough AI Innovations to Advance Professional Video Workflows Within Adobe Premiere Pro — from news.adobe.com
- New Generative AI video tools coming to Premiere Pro this year will streamline workflows and unlock new creative possibilities, from extending a shot to adding or removing objects in a scene
- Adobe is developing a video model for Firefly, which will power video and audio editing workflows in Premiere Pro and enable anyone to create and ideate
Adobe previews early explorations of bringing third-party generative AI models from OpenAI, Pika Labs and Runway directly into Premiere Pro, making it easy for customers to draw on the strengths of different models within the powerful workflows they use every day - AI-powered audio workflows in Premiere Pro are now generally available, making audio editing faster, easier and more intuitive
Also relevant see:
- Adobe Announces New AI Tools For Premiere Pro — from forbes.com by Mark Sparrow
- Adobe adds more AI and Udio upends AI music — from heatherbcooper.substack.com by Heather Cooper
Is Sora coming to Premiere Pro?
The pace of AI and Robotics has been incredible.
So, I share the most important research and developments every week.
Here’s everything that happened and how to make sense out of it:
— Brett Adcock (@adcock_brett) April 14, 2024
AI RESOURCES AND TEACHING (Kent State University) — from aiadvisoryboards.wordpress.com
AI Resources and Teaching | Kent State University offers valuable resources for educators interested in incorporating artificial intelligence (AI) into their teaching practices. The university recognizes that the rapid emergence of AI tools presents both challenges and opportunities in higher education.
The AI Resources and Teaching page provides educators with information and guidance on various AI tools and their responsible use within and beyond the classroom. The page covers different areas of AI application, including language generation, visuals, videos, music, information extraction, quantitative analysis, and AI syllabus language examples.
A Cautionary AI Tale: Why IBM’s Dazzling Watson Supercomputer Made a Lousy Tutor — from the74million.org by Greg Toppo
With a new race underway to create the next teaching chatbot, IBM’s abandoned 5-year, $100M ed push offers lessons about AI’s promise and its limits.
For all its jaw-dropping power, Watson the computer overlord was a weak teacher. It couldn’t engage or motivate kids, inspire them to reach new heights or even keep them focused on the material — all qualities of the best mentors.
It’s a finding with some resonance to our current moment of AI-inspired doomscrolling about the future of humanity in a world of ascendant machines. “There are some things AI is actually very good for,” Nitta said, “but it’s not great as a replacement for humans.”
His five-year journey to essentially a dead-end could also prove instructive as ChatGPT and other programs like it fuel a renewed, multimillion-dollar experiment to, in essence, prove him wrong.
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To be sure, AI can do sophisticated things such as generating quizzes from a class reading and editing student writing. But the idea that a machine or a chatbot can actually teach as a human can, he said, represents “a profound misunderstanding of what AI is actually capable of.”
Nitta, who still holds deep respect for the Watson lab, admits, “We missed something important. At the heart of education, at the heart of any learning, is engagement. And that’s kind of the Holy Grail.”
From DSC:
This is why the vision that I’ve been tracking and working on has always said that HUMAN BEINGS will be necessary — they are key to realizing this vision. Along these lines, here’s a relevant quote:
Another crucial component of a new learning theory for the age of AI would be the cultivation of “blended intelligence.” This concept recognizes that the future of learning and work will involve the seamless integration of human and machine capabilities, and that learners must develop the skills and strategies needed to effectively collaborate with AI systems. Rather than viewing AI as a threat to human intelligence, a blended intelligence approach seeks to harness the complementary strengths of humans and machines, creating a symbiotic relationship that enhances the potential of both.
Per Alexander “Sasha” Sidorkin, Head of the National Institute on AI in Society at California State University Sacramento.
AWS, Educause partner on generative AI readiness tool — from edscoop.com by Skylar Rispens
Amazon Web Services and the nonprofit Educause announced a new tool designed to help higher education institutions gauge their readiness to adopt generative artificial intelligence.
Amazon Web Services and the nonprofit Educause on Monday announced they’ve teamed up to develop a tool that assesses how ready higher education institutions are to adopt generative artificial intelligence.
Through a series of curated questions about institutional strategy, governance, capacity and expertise, AWS and Educause claim their assessment can point to ways that operations can be improved before generative AI is adopted to support students and staff.
“Generative AI will transform how educators engage students inside and outside the classroom, with personalized education and accessible experiences that provide increased student support and drive better learning outcomes,” Kim Majerus, vice president of global education and U.S. state and local government at AWS, said in a press release. “This assessment is a practical tool to help colleges and universities prepare their institutions to maximize this technology and support students throughout their higher ed journey.”
Speaking of AI and our learning ecosystems, also see:
Gen Z Wants AI Skills And Businesses Want Workers Who Can Apply AI: Higher Education Can Help — from forbes.com by Bruce Dahlgren
At a moment when the value of higher education has come under increasing scrutiny, institutions around the world can be exactly what learners and employers both need. To meet the needs of a rapidly changing job market and equip learners with the technical and ethical direction needed to thrive, institutions should familiarize students with the use of AI and nurture the innately human skills needed to apply it ethically. Failing to do so can create enormous risk for higher education, business and society.
What is AI literacy?
To effectively utilize generative AI, learners will need to grasp the appropriate use cases for these tools, understand when their use presents significant downside risk, and learn to recognize abuse to separate fact from fiction. AI literacy is a deeply human capacity. The critical thinking and communication skills required are muscles that need repeated training to be developed and maintained.
The University Student’s Guide To Ethical AI Use — from studocu.com; with thanks to Jervise Penton at 6XD Media Group for this resource
This comprehensive guide offers:
- Up-to-date statistics on the current state of AI in universities, how institutions and students are currently using artificial intelligence
- An overview of popular AI tools used in universities and its limitations as a study tool
- Tips on how to ethically use AI and how to maximize its capabilities for students
- Current existing punishment and penalties for cheating using AI
- A checklist of questions to ask yourself, before, during, and after an assignment to ensure ethical use
Some of the key facts you might find interesting are:
- The total value of AI being used in education was estimated to reach $53.68 billion by the end of 2032.
- 68% of students say using AI has impacted their academic performance positively.
- Educators using AI tools say the technology helps speed up their grading process by as much as 75%.
The New Academic Arms Race | Competition over amenities is over. The next battleground is technology. — from chronicle.com by Jeffrey J. Selingo
Now, after the pandemic, with the value of the bachelor’s degree foremost in the minds of students and families, a new academic arms race is emerging. This one is centered around academic innovation. The winners will be those institutions that in the decade ahead better apply technology in teaching and learning and develop different approaches to credentialing.
Sure, technology is often seen as plumbing on campuses — as long as it works, we don’t worry about it. And rarely do prospective students on a tour ever ask about academic innovations like extended reality or microcredentials. Campus tours prefer to show off the bells and whistles of residential life within dorms and dining halls.
That’s too bad.
The problem is not a lack of learners, but rather a lack of alignment in what colleges offer to a generation of learners surrounded by Amazon, Netflix, and Instagram, where they can stream entertainment and music anytime, anywhere.
From DSC:
When I worked for Calvin (then College, now University) from 2007-2017, that’s exactly how technologies and the entire IT Department were viewed — as infrastructure providers. We were not viewed as being able to enhance the core business/offerings of the institution. We weren’t relevant in that area. In fact, the IT Department was shoved down in the basement of the library. Our Teaching & Learning Digital Studio was sidelined in a part of the library where few students went to. The Digitial Studio’s marketing efforts didn’t help much, as faculty members didn’t offer assignments that called for multimedia-based deliverables. It was a very tough and steep hill to climb.
Also the Presidents and Provosts over the last couple of decades (not currently though) didn’t think much of online-based learning, and the top administrators dissed the Internet’s ability to provide 24/7 worldwide conversations and learning. They missed the biggest thing to come along in education in 500 years (since the invention of the printing press). Our Teaching & Learning Group provided leadership by starting a Calvin Online pilot. We had 13-14 courses built and inquiries from Christian-based high schools were coming in for dual enrollment scenarios, but when it came time for the College to make a decision, it never happened. The topic/vote never made it to the floor of the Faculty Senate. The faculty and administration missed an enormous opportunity.
When Calvin College became Calvin University in 2019, they were forced to offer online-based classes. Had they supported our T&L Group’s efforts back in the early to mid-2010’s, they would have dove-tailed very nicely into offering more courses to working adults. They would have built up the internal expertise to offer these courses/programs. But the culture of the college put a stop to online-based learning at that time. They now regret that decision I’m sure (as they’ve had to outsource many things and they now offer numerous online-based courses and even entire programs — at a high cost most likely).
My how times have changed.
For another item re: higher education at the 30,000-foot level, see:
Lifelong Learning Models for a Changing Higher Ed Marketplace — from changinghighered.com by Dr. Drumm McNaughton and Amrit Ahluwalia
Exploring the transformation of higher education into lifelong learning hubs for workforce development, with innovative models and continuing education’s role.
Higher education is undergoing transformational change to redefine its role as a facilitator of lifelong learning and workforce development. In this 200th episode of Changing Higher Ed, host Dr. Drumm McNaughton and guest Amrit Ahluwalia, incoming Executive Director for Continuing Studies at Western University, explore innovative models positioning universities as sustainable hubs for socioeconomic mobility.
The Consumer-Driven Educational Landscape
Over 60% of today’s jobs will be redefined by 2025, driving demand for continuous upskilling and reskilling to meet evolving workforce needs. However, higher education’s traditional model of imparting specific knowledge through multi-year degrees is hugely misaligned with this reality.
Soaring education costs have fueled a consumer mindset shift, with learners demanding a clear return on investment directly aligned with their career goals. The expectation is to see immediate skills application and professional impact from their educational investments, not just long-term outcomes years after completion.
Which AI should I use? Superpowers and the State of Play — from by Ethan Mollick
And then there were three
For over a year, GPT-4 was the dominant AI model, clearly much smarter than any of the other LLM systems available. That situation has changed in the last month, there are now three GPT-4 class models, all powering their own chatbots: GPT-4 (accessible through ChatGPT Plus or Microsoft’s CoPilot), Anthropic’s Claude 3 Opus, and Google’s Gemini Advanced1.
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Where we stand
We are in a brief period in the AI era where there are now multiple leading models, but none has yet definitively beaten the GPT-4 benchmark set over a year ago. While this may represent a plateau in AI abilities, I believe this is likely to change in the coming months as, at some point, models like GPT-5 and Gemini 2.0 will be released. In the meantime, you should be using a GPT-4 class model and using it often enough to learn what it does well. You can’t go wrong with any of them, pick a favorite and use it…
From DSC:
Here’s a powerful quote from Ethan:
In fact, in my new book I postulate that you haven’t really experienced AI until you have had three sleepless nights of existential anxiety, after which you can start to be productive again.
Using AI for Immersive Educational Experiences — from automatedteach.com by Graham Clay
Realistic video brings course content to life but requires AI literacy.
For us, I think the biggest promise of AI tools like Sora — that can create video with ease — is that they lower the cost of immersive educational experiences. This increases the availability of these experiences, expanding their reach to student populations who wouldn’t otherwise have them, whether due to time, distance, or expense.
Consider the profound impact on a history class, where students are transported to California during the gold rush through hyperrealistic video sequences. This vivifies the historical content and cultivates a deeper connection with the material.
In fact, OpenAI has already demonstrated the promise of this sort of use case, with a very simple prompt producing impressive results…
The Empathy Illusion: How AI Agents Could Manipulate Students — from marcwatkins.substack.com by Marc Watkins
Take this scenario. A student misses a class and, within twenty minutes, receives a series of texts and even a voicemail from a very concerned and empathic-sounding voice wanting to know what’s going on. Of course, the text is entirely generated, and the voice is synthetic as well, but the student likely doesn’t know this. To them, communication isn’t something as easy to miss or brush off as an email. It sounds like someone who cares is talking to them.
But let’s say that isn’t enough. By that evening, the student still hadn’t logged into their email or checked the LMS. The AI’s strategic reasoning is communicating with the predictive AI and analyzing the pattern of behavior against students who succeed or fail vs. students who are ill. The AI tracks the student’s movements on campus, monitors their social media usage, and deduces the student isn’t ill and is blowing off class.
The AI agent resumes communication with the student. But this time, the strategic AI adopts a different persona, not the kind and empathetic persona used for the initial contact, but a stern, matter-of-fact one. The student’s phone buzzes with alerts that talk about scholarships being lost, teachers being notified, etc. The AI anticipates the excuses the student will use and presents evidence tracking the student’s behavior to show they are not sick.
Not so much focused on learning ecosystems, but still worth mentioning:
The top 100 Gen AI Consumer Apps — from a16z.com / andreessen horowitz by Olivia Moore
GTC March 2024 Keynote with NVIDIA CEO Jensen Huang
Also relevant/see:
- NVIDIA Launches Blackwell-Powered DGX SuperPOD for Generative AI Supercomputing at Trillion-Parameter Scale
Scales to Tens of Thousands of Grace Blackwell Superchips Using Most Advanced NVIDIA Networking, NVIDIA Full-Stack AI Software, and Storage Features up to 576 Blackwell GPUs Connected as One With NVIDIA NVLink NVIDIA System Experts Speed Deployment for Immediate AI Infrastructure
- NVIDIA Unveils Digital Blueprint for Building Next-Gen Data Centers
Omniverse digital twin supported by Ansys, Cadence, PATCH MANAGER, Schneider Electric, Vertiv and more, setting foundation for highly efficient AI infrastructure. - NVIDIA Digital Human Technologies Bring AI Characters to Life
Leading AI Developers Use Suite of NVIDIA Technologies to Create Lifelike Avatars and Dynamic Characters for Everything From Games to Healthcare, Financial Services and Retail Applications - NVIDIA Announces Omniverse Cloud APIs to Power Wave of Industrial Digital Twin Software Tools
Ansys, Cadence, Hexagon, Microsoft, Rockwell Automation, Siemens, Trimble Adopt Omniverse Technologies to Help Customers Design, Simulate, Build and Operate Physically Based Digital Twins - Climate Pioneers: 3 Startups Harnessing NVIDIA’s AI and Earth-2 Platforms
NVIDIA Inception members Tomorrow.io, ClimaSens and north.io specialize in extreme weather prediction, advance climate action across the globe.
Today is the beginning of our moonshot to solve embodied AGI in the physical world. I’m so excited to announce Project GR00T, our new initiative to create a general-purpose foundation model for humanoid robot learning.
The GR00T model will enable a robot to understand multimodal… pic.twitter.com/EqN19Z3cXH
— Jim Fan (@DrJimFan) March 18, 2024
NVIDIA just announced GR00T.
It will enable a robot to understand multimodal instructions like language, video, and motion.
Very soon we will see them cooking, preparing coffee, in supermarkets, changing tires, etc.pic.twitter.com/3PptgNS1Yi
— Barsee ? (@heyBarsee) March 19, 2024
OpenAI + Figure
conversations with humans, on end-to-end neural networks:
? OpenAI is providing visual reasoning & language understanding
? Figure’s neural networks are delivering fast, low level, dexterous robot actions(thread below)pic.twitter.com/trOV2xBoax
— Brett Adcock (@adcock_brett) March 13, 2024
[Report] Generative AI Top 150: The World’s Most Used AI Tools (Feb 2024) — from flexos.work by Daan van Rossum
FlexOS.work surveyed Generative AI platforms to reveal which get used most. While ChatGPT reigns supreme, countless AI platforms are used by millions.
As the FlexOS research study “Generative AI at Work” concluded based on a survey amongst knowledge workers, ChatGPT reigns supreme.
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2. AI Tool Usage is Way Higher Than People Expect – Beating Netflix, Pinterest, Twitch.
As measured by data analysis platform Similarweb based on global web traffic tracking, the AI tools in this list generate over 3 billion monthly visits.
With 1.67 billion visits, ChatGPT represents over half of this traffic and is already bigger than Netflix, Microsoft, Pinterest, Twitch, and The New York Times.
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Artificial Intelligence Act: MEPs adopt landmark law — from europarl.europa.eu
- Safeguards on general purpose artificial intelligence
- Limits on the use of biometric identification systems by law enforcement
- Bans on social scoring and AI used to manipulate or exploit user vulnerabilities
- Right of consumers to launch complaints and receive meaningful explanations
The untargeted scraping of facial images from CCTV footage to create facial recognition databases will be banned © Alexander / Adobe Stock
A New Surge in Power Use Is Threatening U.S. Climate Goals — from nytimes.com by Brad Plumer and Nadja Popovich
A boom in data centers and factories is straining electric grids and propping up fossil fuels.
Something unusual is happening in America. Demand for electricity, which has stayed largely flat for two decades, has begun to surge.
Over the past year, electric utilities have nearly doubled their forecasts of how much additional power they’ll need by 2028 as they confront an unexpected explosion in the number of data centers, an abrupt resurgence in manufacturing driven by new federal laws, and millions of electric vehicles being plugged in.
OpenAI and the Fierce AI Industry Debate Over Open Source — from bloomberg.com by Rachel Metz
The tumult could seem like a distraction from the startup’s seemingly unending march toward AI advancement. But the tension, and the latest debate with Musk, illuminates a central question for OpenAI, along with the tech world at large as it’s increasingly consumed by artificial intelligence: Just how open should an AI company be?
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The meaning of the word “open” in “OpenAI” seems to be a particular sticking point for both sides — something that you might think sounds, on the surface, pretty clear. But actual definitions are both complex and controversial.
Researchers develop AI-driven tool for near real-time cancer surveillance — from medicalxpress.com by Mark Alewine; via The Rundown AI
Artificial intelligence has delivered a major win for pathologists and researchers in the fight for improved cancer treatments and diagnoses.
In partnership with the National Cancer Institute, or NCI, researchers from the Department of Energy’s Oak Ridge National Laboratory and Louisiana State University developed a long-sequenced AI transformer capable of processing millions of pathology reports to provide experts researching cancer diagnoses and management with exponentially more accurate information on cancer reporting.
DC: Hmmm…given that the militaries of the world have been integrating AI into their arsenals (likely for years), this kind of thing is a bit disturbing for me. Autonomous/self-correcting missiles, robotic tanks, drones, and more…here we come. Ouch.https://t.co/Qljl1U9m9S
— Daniel Christian (he/him/his) (@dchristian5) March 13, 2024
Also see:
A View into the Generative AI Legal Landscape 2024 — from law.stanford.edu by Megan Ma, Aparna Sinha, Ankit Tandon, & Jennifer Richards
Excerpt (emphasis DSC):
Some key observations and highlights:
- Emerging technical solutions are addressing the main challenges of using Generative AI in legal applications, such as lack of consistency and accuracy, limited explainability, privacy concerns, and difficulty in obtaining and training models on legal domain data.
- Structural impediments in the legal industry, such as the billable hour, lack of standardization, vendor dependence, and incumbent control, moderate the success of generative AI startups.
- Our defined “client-facing” LegalTech market is segmented into three broad lines of work: Research and Analysis, Document Review and Drafting, and Litigation. We view the total LegalTech market in the United States to be estimated at ~$13B in 2023, with litigation being the largest category.
- LegalTech incumbents play a significant role in the adoption of generative AI technologies, often opting for market consolidation through partnerships or acquisitions rather than building solutions organically.
- Future evolution in LegalTech may involve specialization in areas such as patent and IP, immigration, insurance, and regulatory compliance. There is also potential for productivity tools and access to legal services, although the latter faces structural challenges related to the Unauthorized Practice of Law (UPL).
Fresh Voices on Legal Tech with Tessa Manuello — from legaltalknetwork.com by Dennis Kennedy and Tom Mighell
EPISODE NOTES
Creative thinking and design elements can help you elevate your legal practice and develop more meaningful solutions for clients. Dennis and Tom welcome Tessa Manuello to discuss her insights on legal technology with a particular focus on creative design adaptations for lawyers. Tessa discusses the tech learning process for attorneys and explains how a more creative approach for both learning and implementing tech can help lawyers make better use of current tools, AI included.
International Women’s Day: Kriti Sharma Calls for More Women Working in AI, LegalTech — from legalcurrent.com
In honor of International Women’s Day, Sharma discusses on LinkedIn the need for more female role models in the tech sector as AI opens up traditional career pathways and creates opportunities to welcome more women to the space.
Sharma invited Thomson Reuters female leaders working in legal technology to share their perspectives, including Rawia Ashraf, Emily Colbert, and Anu Dodda.
Talent Disrupted: College Graduates, Underemployment, and the Way Forward — from stradaeducation.org
Most people enroll in college because they believe it will help them secure a good job and open the door to economic opportunity. In “Talent Disrupted,” a new and updated version of the 2018 report, “The Permanent Detour,” Strada Institute for the Future of Work and The Burning Glass Institute show that a college degree is not always a guarantee of labor market success.
Using a combination of online career histories of tens of millions of graduates, as well as census microdata for millions of graduates, the report offers a comprehensive picture of how college graduates fare in the job market over their first decade of employment after college.
The report shows that only about half of bachelor’s degree graduates secure employment in a college-level job within a year of graduation.
Also see:
Half of College Grads Are Working Jobs That Don’t Use Their Degrees — from wsj.com by Vanessa Fuhrmans and Lindsay Ellis
Choice of major, internships and getting the right first job after graduation are critical to career paths, new data show
Roughly half of college graduates end up in jobs where their degrees aren’t needed, and that underemployment has lasting implications for workers’ earnings and career paths.
That is the key finding of a new study tracking the career paths of more than 10 million people who entered the job market over the past decade. It suggests that the number of graduates in jobs that don’t make use of their skills or credentials—52%—is greater than previously thought, and underscores the lasting importance of that first job after graduation.