Gen AI has the potential to completely change how employees work. Its natural language interface makes it easy to use, while its burgeoning reasoning and agentic capabilities allow it to perform increasingly complex tasks such as interpreting large volumes of information, coding, and answering queries. The most advanced agents are even starting to perform tasks such as creating spreadsheets and navigating web pages. And employees are clearly eager to use it; they are already doing so three times more than their leaders realize.2 But simply putting new technology into people’s hands does not ensure they will use it effectively, nor does it profoundly change the way a company works. Instead, CEOs need to deploy a novel change management approach that mobilizes their people, turning them from gen AI experimenters into gen AI accelerators. This is not a linear process. Change management in the gen AI age asks employees to become active participants rather than just users.
Friday, August 29, 2025
There are no entry-level jobs anymore. What now? - Dana Stephenson, the Hill
One recent report estimates that more than 90 percent of information technology jobs will be transformed by AI, and that nearly 40 percent of those roles will be at the entry level. The U.S. Bureau of Labor Statistics predicts that about 1 million office and administrative support jobs will be lost by 2029 due to technological advancements. Once staples of a first job, tasks like drafting a press release, organizing information or conducting basic research are now increasingly handled by AI agents. As a result, today’s graduates face a steeper climb into meaningful, sustainable careers. It is no longer enough to be merely hireable. Students can’t even start on the ground floor — they’re expected to skip a level to get in the door.
Thursday, August 28, 2025
The Radical Changes AI Is Bringing To Higher Education - Nick Ladany, Forbes
AI in the form of a fully interactive, avatar professor, will equal and exceed the best versions of the best professors at any university; responsive, responsible, available day and night, informed with staggering amounts of knowledge, and demonstrate pedagogical approaches that match the personalized needs of any student. The fear that faculty jobs are at stake is a real one, and the roles of faculty members are sure to change. Rather than the sage on the stage, a professor’s role will be the guide on the side. Their job will be to provide community building among groups of students and offer additional personalized ways to introduce students to using AI in the workplace, such as using AI in health research. In this redefined role, professors will serve as subject matter experts and ensure that the AI professor’s responses are sound and don’t go off the rails. Finally, they will play a role, at least initially, in what the students will be assessed.
We must build AI for people; not to be a person: Seemingly Conscious AI is Coming - Mustafa Suleyman, Mustafa-Suleyman.ai
My life’s mission has been to create safe and beneficial AI that will make the world a better place. Today at Microsoft AI we build AI to empower people, and I’m focused on making products like Copilot responsible technologies that enable people to achieve far more than they ever thought possible, be more creative, and feel more supported. I want to create AI that makes us more human, that deepens our trust and understanding of one another, and that strengthens our connections to the real world. Copilot creates millions of positive, even life-changing, interactions every single day. This involves a lot of careful design choices to ensure it truly delivers an incredible experience. We won’t always get it right, but this humanist frame provides us with a clear north star to keep working towards.
Wednesday, August 27, 2025
Ex-Google exec says degrees in law and medicine are a waste of time because they take so long to complete that AI will catch up by graduation - Preston Fore, Fortune
“AI itself is going to be gone by the time you finish a PhD. Even things like applying AI to robotics will be solved by then,” Jad Tarifi, the founder of Google’s first generative-AI team, told Business Insider. Tarifi himself graduated with a PhD in AI in 2012, when the subject was far less mainstream. But today, the 42-year-old says, time would be better spent studying a more niche topic intertwined with AI, like AI for biology—or maybe not a degree at all. “Higher education as we know it is on the verge of becoming obsolete,” Tarifi said to Fortune. “Thriving in the future will come not from collecting credentials but from cultivating unique perspectives, agency, emotional awareness, and strong human bonds. “I encourage young people to focus on two things: the art of connecting deeply with others, and the inner work of connecting with themselves.”
At one elite college, over 80% of students now use AI – but it’s not all about outsourcing their work - Germán Reyes, Middlebury, The Conversation
Over 80% of Middlebury College students use generative AI for coursework, according to a recent survey I conducted with my colleague and fellow economist Zara Contractor. This is one of the fastest technology adoption rates on record, far outpacing the 40% adoption rate among U.S. adults, and it happened in less than two years after ChatGPT’s public launch. What we found challenges the panic-driven narrative around AI in higher education and instead suggests that institutional policy should focus on how AI is used, not whether it should be banned.
Tuesday, August 26, 2025
AI is already displacing these jobs - Madison Mills, Axios
Industries that are considered advanced adopters of AI see the nearest-term labor impact. Over 80% of executives surveyed within tech and media, the only two sectors that showed clear signs of AI disruption, anticipate reduced hiring volumes in the next two years. Still, most companies surveyed are currently backfilling workers with AI, for example, rather than replacing them. By the numbers: For now, companies aren't firing employees but just canceling contracts that involve outsourced labor, a strategy that's leading to financial gains. Back-office automations also have a higher return on investment, with $2 million to $10 million in BPO expenditures eliminated for the firms studied by MIT researchers.
One company studied saved $8 million a year by spending $8,000 on an AI tool.
Smarter Support: How to Use AI in Online Courses and Teach Your Students to Use It Too - Joel Greene, Faculty Focus
Whether we were ready or not, AI is in the room. And if you’re teaching online, you’ve probably already seen it at work in discussion posts, essays, or that strangely perfect email. Instead of panicking or pretending it’s not happening, we’ve got a better option. We can help students learn how to use AI responsibly, because it’s not going away. Honestly, some of them are relying on it more than we realize (Colvard 2024). If you’re going to teach with AI, you’ve got to know what it can (and can’t) do. I’m talking about tools like ChatGPT, Grammarly, QuillBot, or even Microsoft Copilot. Give yourself a little “playtime” with them. Open one up and ask it to write a discussion post. Then see what it gets right and what falls flat.
Monday, August 25, 2025
'This stuff is moving so quickly': Utah Tech leaders discuss AI, unveil new cybersecurity degree - Nick Fiala, St. George News / KSL
Utah Tech University spent part of its recent Fall Academic Convocation discussing the evolving use of artificial intelligence in both business and academia and how best to implement it in the future. The university also announced on Wednesday that it will be launching a new program this fall for students to acquire a bachelor of science degree in cybersecurity. The new cybersecurity degree will reportedly offer coursework in areas including ethical hacking, cloud and IoT security, cyber law and infrastructure defense. The university added that the program anticipates enrolling 35 students by its third year. "IoT" refers to "Internet of Things," meaning devices equipped to exchange data over the internet.
Does GenAI provide the opportunity for creativity to take centre stage? - Ioannis Glinavos, Times Higher Education
For centuries, universities have delivered scarce expertise. We stacked programmes like layer cakes: first theory, then practice, finally – if there was time – a sprinkle of creativity. Generative AI flips that order. Because routine skills are on tap, the bottleneck shifts upstream to ideation: spotting problems worth solving and framing them so the machine can help.
How should assessors use AI for marking and feedback?
An insider’s guide to how students use GenAI tools
Three reasons to harness AI for interdisciplinary collaboration
That demands divergent thinking, curiosity and ethical judgement – qualities our assessment regimes often squeeze out. We need to treat creativity as a core literacy, not a decorative extra. Don’t get me wrong, skills are not irrelevant – they just look different. Prompt craft, data stewardship and model critique replace manual citation and calculator drills. But they are means, not ends.
Sunday, August 24, 2025
AI’s Rapid Integration into Higher Education Transforming Student Experiences and Faculty Challenges - SSB Crack News
A college senior entering the new academic year has experienced nearly their entire undergraduate journey alongside the rise of generative AI. The landscape shifted dramatically with the launch of ChatGPT in November 2022, coinciding with this student’s freshman year. Faculty and administration at institutions like Washington University in St. Louis have witnessed this rapid transformation. Fast forward three years, and the reliance on AI tools is startling. Reports indicate that nearly two-thirds of Harvard undergraduates were using generative AI at least once a week as of spring 2024. In a UK survey, 92% of full-time university students acknowledged employing AI in some manner, with a significant portion believing that AI-generated content could earn good grades in their subjects. Alarmingly, about 20% of those surveyed have experimented with AI to complete assignments, a trend expected to grow.
A scaffolded approach to teaching with GenAI - Rena Beatrice Alcalay, Times Higher Education
As GenAI continues to reshape higher education, this four-phase framework by Rena Beatrice Alcalay offers educators ways to guide students to use these tools critically and ethically, fostering agency, bias awareness and deeper engagement in philosophical writing assignments. This pedagogical stance emphasises agency: students learn to critically assess what to include or exclude from AI-generated suggestions and to distinguish between factual repetition and genuine conceptual development. At the heart of this approach is a commitment to helping students articulate ideas that reflect their values, a central goal in philosophy education.
Saturday, August 23, 2025
Claude Opus 4 and 4.1 can now end a rare subset of conversations - Anthropic
We recently gave Claude Opus 4 and 4.1 the ability to end conversations in our consumer chat interfaces. This ability is intended for use in rare, extreme cases of persistently harmful or abusive user interactions. This feature was developed primarily as part of our exploratory work on potential AI welfare, though it has broader relevance to model alignment and safeguards. In pre-deployment testing of Claude Opus 4, we included a preliminary model welfare assessment. As part of that assessment, we investigated Claude’s self-reported and behavioral preferences, and found a robust and consistent aversion to harm. This included, for example, requests from users for sexual content involving minors and attempts to solicit information that would enable large-scale violence or acts of terror. Claude Opus 4 showed:
A strong preference against engaging with harmful tasks;
A pattern of apparent distress when engaging with real-world users seeking harmful content; and
A tendency to end harmful conversations when given the ability to do so in simulated user interactions.
AI Is Designing Bizarre New Physics Experiments That Actually Work - Anil Ananthaswamy, Wired
Although AI has not yet led to new discoveries in physics, it’s becoming a powerful tool across the field. Along with helping researchers to design experiments, it can find nontrivial patterns in complex data. For example, AI algorithms have gleaned symmetries of nature from the data collected at the Large Hadron Collider in Switzerland. These symmetries aren’t new—they were key to Einstein’s theories of relativity—but the AI’s finding serves as a proof of principle for what’s to come. Physicists have also used AI to find a new equation for describing the clumping of the universe’s unseen dark matter. “Humans can start learning from these solutions,” Adhikari said.
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