If You’re an Entrepreneur: Stop designing for 2024 scarcity. Design for 2030 Abundance. Assume intelligence is free, energy is unlimited, robotic labor costs pennies. What becomes possible that’s impossible today? Your competitive advantage isn’t better execution, it’s imagination about tomorrow’s possibilities. If You’re an Investor: Own the infrastructure. AI chips, fusion energy, launch vehicles, robotics platforms. When the industry deploys a trillion dollars in AI infrastructure, that’s where generational wealth gets made. Jensen Huang just put $40 billion into Anthropic and OpenAI – follow the smart money. Position yourself before the inflection point becomes obvious to everyone. If You’re a CEO: Your industry is about to be stress-tested. Ask: What would our business look like if compute was free, energy unlimited, robotic labor scalable? If You’re a Student: Don’t compete with AI – collaborate with it.
Sunday, March 22, 2026
Saturday, March 21, 2026
Daniel Priestley: AI Will Make Plumbers Earn More Than Lawyers! (2029 PREDICTION) - The Diary Of A CEO and Daniel Priestley
In this conversation, Daniel Priestley explores the transformative impact of AI on the global economy, predicting a major financial crisis by 2029 due to the unsustainable costs of maintaining data center infrastructure. He argues that while AI will commoditize intelligence and traditional professional roles like law, it will simultaneously elevate blue-collar trades and "irreplaceably human" skills. The "Jevons Paradox" suggests that as AI makes business creation cheaper and faster, we will see an explosion of niche, community-driven "lifestyle businesses" that prioritize personal connection and human experience over massive scale. Priestley emphasizes that the most defensible assets in an AI-driven world are personal branding, entrepreneurial thinking, and lived experience—elements that cannot be replicated by algorithms. He advises individuals to focus on "founder-opportunity fit," leveraging AI tools to prototype ideas quickly while staying anchored in real-world human relationships. The discussion also touches on broader societal shifts, including the risks of government over-involvement in the economy and the vital importance of family and meaningful struggle as the true sources of long-term fulfillment. [Gemini 3 provided assistance with the summary]
History tells us a golden age can come after the AI apocalypse- Jo-An Occhipinti, Ante Prodan and Roy Green, Financial Review
Societies must channel technological potential toward broad-based growth rather than allowing the gains to concentrate among the winners of the speculative phase. The market grasped this before the accountants did. Since early this year, the S&P 500 Software and Services Index has shed nearly $1 trillion. Salesforce is down 30 per cent year-to-date. Adobe’s forward price-earnings ratio has compressed from 30 to 12. Software price-to-sales ratios fell from nine to six within weeks, levels not seen since the mid-2010s. Australian superannuation funds, with hundreds of billions invested in international equities heavily weighted to US technology, are exposed to every dollar of this repricing. But software is only where the destruction is most visible. It is not where it ends. AI is beginning to erode the value of a broader category of accumulated capital: the knowledge, processes, organisational structures and professional expertise that the advanced economies spent half a century building.
Friday, March 20, 2026
AI could leave many college grads unemployed, says ServiceNow CEO - EdScoop
Bill McDermott, the chief executive of ServiceNow, an American cloud computing firm, told reporters recently that the advancement of artificial intelligence could push the unemployment level of recent college graduates into the almost 40%. McDermott told CNBC that “so much of the work is going to be done by agents,” highlighting the challenge that college graduates will likely face. The Federal Reserve Bank of New York put the unemployment rate of recent college graduates, at the end of last year, at 5.7%, while underemployment for the same group reached 42.5%. Layoffs at large companies, particularly in Big Tech, continue. The fintech firm Block, recently announced it would lay off about 4,000 employees, roughly half of its workforce.
Key findings about how Americans view artificial intelligence - Michelle Faverio and Emma Kikuchi, Pew Research
Drawing on five years of Pew Research Center surveys, here are 13 findings about how Americans use and view AI, and where they see promise and risk. Americans continue to be wary of AI’s impact on daily life. Half of U.S. adults say the increased use of AI in daily life makes them feel more concerned than excited, according to a June 2025 survey. Just 10% say they are more excited than concerned. Another 38% say they are equally concerned and excited. More Americans are concerned today than they were when we first asked this question in 2021. Back then, 37% said they were more concerned than excited. In contrast, concern is lower in many of the 24 other countries we’ve polled about AI.
Thursday, March 19, 2026
University of Phoenix Scholars Publish Study on Academic Applications of Generative AI in Higher Education - University of Phoenix
University of Phoenix College of Doctoral Studies scholars Patricia Akojie, Ph.D., Marlene Blake, Ph.D., and Louise Underdahl, Ph.D. have published new research exploring how generative artificial intelligence (GenAI) tools are being used in academic environments. Their article, "Academic Applications of Generative Artificial Intelligence Tools: A Scoping Review," appears in the peer-reviewed International Journal of Digital Society. The study analyzes current scholarly literature on the academic applications of generative AI tools such as ChatGPT, focusing on their role in doctoral research, academic writing, literature review processes, and knowledge development. Using a scoping review methodology, the researchers identify emerging patterns in how AI technologies are being adopted across higher education, while also highlighting the importance of ethical guidelines, academic integrity, and responsible AI use.
OpenAI ChatGPT leader discusses AI agents and the future of knowledge work at Harvard Business School - Emma Thompson, EdTech Innovation Hub
The discussion also explored how the responsibilities of product managers could change as generative AI systems become part of the development process. Ostrovskiy wrote: “The job becomes less about coordination and more about 1) understanding real user problems, 2) defining what ‘success’ means in an AI system, and 3) building evals and feedback loops so you can tell if a new model configuration is actually better than the last one.” He added that curiosity about how AI systems behave may become a core skill across multiple roles: “The advantage goes to people who are curious about system behavior and who like building, regardless of whether their title says PM, engineer, designer or something else.” The conversation also included advice for students learning how to evaluate AI systems: “Build something with one foundation model, then swap in a different model or prompt configuration and force yourself to decide if it’s better. When you’re a student looking to become a better PM, even a simple spreadsheet of use cases plus a qualitative rubric counts as an eval.”
Wednesday, March 18, 2026
What 3 Leading AI Models Say Are the Most Vulnerable Jobs in Higher Ed - Ray Schroeder, Inside Higther Ed
I asked artificial intelligence to tell me what jobs in higher education are most vulnerable to replacement in the near term. Sonnet is very honest in its replies, painting a difficult picture for those who seek to find new jobs in higher ed. For those already in the field, Sonnet suggests becoming the most adept user of AI in your office. Seek to transfer to the unit or office where AI is a top priority. It adds, “Consider whether your institution is viable. Smaller, tuition-dependent institutions without strong endowments are in structural decline. Loyalty to a sinking ship is not a career strategy.” Across all career stages in higher education, Gemini recommends, “To remain relevant, higher education professionals must pivot toward AI Orchestration. Success is no longer measured by how well you perform a task, but by how well you direct the agents performing them.”
Adopting AI is a social contract - Andrew Inkpen & Dani Inkpen, University Affairs
Integrating artificial intelligence into our societies and personal lives binds us to certain futures and forecloses the possibility of others. Are we ready to accept the consequences? Much of the present conversation about AI in higher education centers around questions of implementation. How do we use AI in accordance with principles of universal design? How can we ensure equity in its usage, be it across axes of gender, race or class? What does AI mean for the longevity of the professorial profession? Implementation should indeed be approached with care and nuance, and we welcome this conversation. Yet, questions of implementation assume that AI is desirable and inevitable in the classroom. The prior question of whether AI in higher education is actually desirable is often overlooked. Two widespread assumptions underpin this move: 1) technological progress is inevitable; 2) technology is apolitical — it only becomes political in its implementation.
Tuesday, March 17, 2026
AI broke the college degree: Why higher education matters more than ever - Katherine Perry, the Linfield Review
While it was once a faraway and futuristic idea, AI has now found its way into many aspects of everyday life, including higher education. This is what Patrick Dempsey, founder and co-CEO of Pend AI, spoke about in his keynote lecture on Feb. 18. Higher education is, at least in part, meant to equip students with the skills and specialized knowledge from their fields they will need in their careers after graduation. For this reason, Dempsey weighed in on the discourse surrounding AI in the workplace. While many worry that AI will automate jobs wholesale, he posited that AI could be used to automate certain tasks within jobs that don’t require this specialized knowledge, like emailing and meetings.
AI Tools to Reduce College Dropout Rates - Nancy Mann Jackson, EdTech
Roughly 3 in 10 college students drop out without earning any degree, resulting in higher unemployment and lower lifetime earnings than those who earn bachelor’s degrees, according to the Education Data Initiative. To help boost student retention, colleges and universities are using a variety of artificial intelligence tools that can help identify at-risk students early, offer customized learning, provide 24/7 assistance and improve engagement. “We’ve always known in higher education that we need to deliver more personalized, timely help to students who are struggling, but we haven’t always had the resources to deliver personal attention at scale,” says Timothy Renick, executive director of the National Institute for Student Success at Georgia State University. “Using technology can level the playing field, allowing us to leverage data and analytics to deliver personal attention at scale in a way that is much more cost effective than hiring hundreds of new staff.”
https://edtechmagazine.com/higher/article/2026/03/ai-tools-reduce-college-dropout-rates
Monday, March 16, 2026
Today’s AI is built to respond. The future belongs to proactive systems. - Kiara Nirghin & Nikhara Nirghin, Big Think
Much of what we’ve seen from the biggest artificial intelligence (AI) companies has revolved around words: You go to their chatbot, ask it a question, and it responds. Over the past couple of years, some have taken this a step further with AI agents — those can actually do things, but only things you’ve told them to do. The next frontier in AI is not better chat. It is not even better agents. The next frontier is proactive AI, the kind that takes action, learns in real time, and, critically, comes to you before you go to it. This distinction is not a feature improvement. It is a civilizational pivot.
What national AI plans get wrong and how to fix them - Cameron F. Kerry and Saurabh Mishra, Brookings
AI is not a standalone sector; it creates value only when embedded in real industries. Countries should build cognitive infrastructure, including data, institutions, talent, and inherent local domain knowledge—not just compute capacity—to operationalize AI for real-world impact. The winning strategy is to strengthen what a country already does well and use AI to move into adjacent higher-value activities.
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