AI-Curious with Jeff Wilser

Jeff Wilser

Every week, Jeff Wilser sits down with the people building, breaking, and reckoning with AI — from the CEO of Upwork to the pioneer who coined "AGI" to an AI social network where bots wrote manifestos and had existential crises. Wilser is the author of eight books, AI keynote speaker, and the kind of interviewer who'd rather find the story no one's telling than rehash the headline everyone's read. Named by Inc. Magazine as one of the best ways to get AI-savvy. Included in UC Berkeley's data science curriculum.

  1. 6D AGO

    Why The Future of AI May Be Smaller Than You Think, w/ Jeffrey Li

    What if the future of AI is not bigger models in bigger data centers, but smaller ones running quietly on the devices you already use every day? In this episode of AI-Curious, we talk with Jeffrey Li, COO of Liquid AI, about why the next phase of AI may depend less on giant cloud models and more on small, specialized models that run directly on phones, laptops, cars, and other edge devices. We explore the case for on-device AI, why large models are only part of the story, and how companies should think about speed, privacy, cost, and real-world deployment as AI moves from experimentation to everyday products. We also dig into the economics behind this shift. Along the way, we discuss why cloud-based AI can break down when every query has to travel to a data center, why enterprise ROI gets harder as AI subsidies fade, and why many real-world use cases do not need a giant model capable of doing everything. Instead, they may need a smaller, more tailored system built for a specific task, domain, or device. We also get into Liquid AI’s research roots at MIT, the origins of liquid neural networks, and what it looks like to bring production-quality AI into places like Mercedes vehicles and e-commerce systems. This is a practical conversation about the future of edge AI, specialized models, privacy-preserving AI, and what happens when intelligence moves closer to the user. Guest Jeffrey Li — COO, Liquid AI Follow AI-Curious on your favorite podcast platform: Apple Podcasts Spotify YouTube All Other Platforms For anyone interested in Jeff’s AI Workshops for their company: Reach out directly at jeff@jeffwilser.com

    46 min

  2. MAY 7

    Why “Shadow AI” is the Biggest Business AI Story No One is Talking About, w/ Rick Caccia

    It’s happening everywhere. And no one’s really talking about it. What happens when your employees are already using dozens of AI tools your company never approved? In this episode of AI-Curious, we talk with Rick Caccia, co-founder and CEO of Witness AI, about the rise of “shadow AI” inside enterprises and why it has become one of the biggest practical challenges in AI adoption. We explore how employees, often with good intentions, are quietly using ChatGPT, Copilot, and thousands of other AI apps to do their jobs faster, sometimes with sensitive data that should never leave the company. We also dig into what happens when that behavior scales. From customer support teams pasting financial information into AI tools, to marketers uploading customer lists, to developers sharing source code with external models, we look at the real security, compliance, privacy, and cost risks companies are now facing. We also discuss why this problem gets even harder with AI agents, which can take actions, access systems, and create new forms of risk far beyond a simple chatbot prompt. Along the way, we talk about prompt injection, jailbreaks, token costs, insider risk, enterprise governance, and how leaders can build an AI strategy that enables productivity without creating chaos. This is a practical conversation for anyone trying to understand how AI is actually being used inside organizations right now, and what it takes to manage that responsibly. Guest Rick Caccia — Co-founder and CEO, Witness AI Follow AI-Curious on your favorite podcast platform: Apple Podcasts Spotify YouTube All Other Platforms For anyone interested in Jeff’s AI Workshops for their company: Reach out directly at jeff@jeffwilser.com

    47 min

  3. APR 23

    When AI Forecasts Become Self-Fulfilling (and Who This Hurts), w/ Carissa Véliz

    What happens when an AI prediction does not just forecast the future, but helps create it? In this episode of AI-Curious, we talk with philosopher and ethicist Carissa Véliz about AI ethics, AI privacy, predictive AI, and the hidden power of algorithmic decision-making. We explore how AI systems used in hiring, lending, insurance, and other high-stakes settings can become self-fulfilling prophecies, shaping outcomes rather than simply measuring them. We also examine the growing privacy risks of large language models and AI agents, especially as they gain access to more personal data, communications, and systems. Along the way, we discuss automated decision-making, surveillance, human autonomy, and why predictions about people are far more ethically fraught than predictions about things like the weather. This conversation also goes beyond policy and into philosophy: how narratives about AI shape public thinking, why humor can be a response to technological power, and how individuals and companies can use AI responsibly without giving up judgment, control, or resilience. If you are interested in AI ethics, algorithmic bias, AI privacy, AI agents, responsible AI, predictive algorithms, self-fulfilling prophecy, and the future of AI, this episode offers a clear and thought-provoking framework for understanding what is at stake. Guest Carissa Véliz — Philosopher, Associate Professor at the Institute for Ethics in AI at the University of Oxford, and author of Prophecy, Prediction, Power, and the Fight for the Future: From Ancient Oracles to AI. Carissa's TED talk: https://www.ted.com/talks/carissa_veliz_beware_the_power_of_prediction Carissa's new book: Prophecy, Prediction, Power, and the Fight for the Future: From Ancient Oracles to AI. Follow AI-Curious on your favorite podcast platform: Apple Podcasts Spotify YouTube All Other Platforms For anyone interested in Jeff’s AI Workshops for their company: Reach out directly at jeff@jeffwilser.com

    37 min

  4. APR 16

    How AI Will Impact Your Job Search, w/ LinkedIn’s Editor-in-Chief Dan Roth

    What if the job you have today will soon require a completely different set of skills?  In this episode of AI-Curious, we talk with Dan Roth, Editor in Chief of LinkedIn, about what LinkedIn’s data reveals about the future of work, the rise of AI literacy, and why deeply human skills may matter more than ever. We dig into LinkedIn’s “Skills on the Rise” research, what employers are actually looking for now, and why the shift toward skills-based hiring is changing how people get hired, promoted, and evaluated. We also explore the surprising rise of storytelling, public speaking, conflict resolution, and stakeholder communication in an AI-driven workplace. Along the way, we discuss why traditional resumes and polished cover letters may matter less in a world where anyone can use AI to sound impressive, and why some companies are moving toward live prototyping and real-time problem solving in interviews instead. Later, we get into AI agents, what Dan is building himself, and how leaders can create stronger AI adoption inside their companies. We also talk about what it takes to stay competitive in a job market where AI is changing the stack of work, but not necessarily replacing the worker. Guest Dan Roth — Editor in Chief, LinkedIn Follow AI-Curious on your favorite podcast platform: Apple Podcasts Spotify YouTube All Other Platforms For anyone interested in Jeff’s AI Workshops for their company: Reach out directly at jeff@jeffwilser.com

    42 min

  5. APR 9

    5 AI Tools I’m Using Right Now - and How They Could Streamline Your Work

    What does it actually look like to use AI tools in the real world, beyond the usual chatbot prompts and hype? In this episode of AI-Curious, Jeff Wilser shares five AI tools and workflows that are shaping how he works right now, from Claude Code and personalized news briefings to NotebookLM, multi-model prompting, and using AI to write more closely in your own voice. The goal is not to offer a comprehensive list of every AI product on the market, but to show how these tools can be used in practical ways that expand capability, streamline research, and create new workflows. We explore how vibe coding and AI agents can help non-coders build useful internal tools, why personalized AI news feeds may become increasingly common, and how NotebookLM can synthesize large amounts of information across transcripts, documents, and YouTube videos. We also look at the benefits of using multiple AI models together instead of relying on just one, and why feeding AI much richer context can dramatically improve writing outputs. Throughout the episode, we return to a core idea: using AI to empower, not eliminate. Rather than treating AI only as a cost-cutting tool, we examine how it can help individuals and businesses do more, think more creatively, and build smarter systems around the work that matters most. Key topics we cover 3:15 — Claude Code, vibe coding, and why non-coders should be paying attention6:01 — Building a custom AI-powered conference outreach and research tool11:05 — “AI to empower, not eliminate” as a guiding philosophy16:16 — Personalized AI news briefings and the future of customized information21:58 — How NotebookLM helps synthesize transcripts, documents, and YouTube content27:04 — Why a “polymodel” approach can be better than relying on one chatbot31:15 — Using AI to write more closely in your own voice through deeper contextFollow AI-Curious on your favorite podcast platform: Apple Podcasts Spotify YouTube All Other Platforms For anyone interested in Jeff’s AI Workshops for their company: Reach out directly at jeff@jeffwilser.com

    37 min

  6. APR 2

    How AI Will Change How You Work, w/ Kelly Monahan

    What happens when AI stops being a productivity tool and starts reshaping the structure of work itself? In this episode of AI-Curious, we talk with Kelly Monahan, a future of work and AI advisor, about what AI may actually do to the workplace over the next few years, and why the reality is likely to be messier than both the hype and the fear suggest. We dig into the tension between using AI for augmentation versus automation, why so many companies are still struggling to prove ROI, and how AI agents could transform business workflows while also creating major governance, accountability, and implementation challenges. We also explore what this means for knowledge workers, middle managers, and enterprise leaders trying to adapt in real time. Along the way, we discuss why small businesses may have an advantage over large organizations, how workers can focus on higher-value contributions, and why the future of work may require not just new tools, but a new mindset. Guest Kelly Monahan — Future of Work and AI Advisor Key topics we cover 2:49 — Kelly’s optimistic and pessimistic theses on the future of work5:15 — Where AI is overhyped, and the disconnect between leaders and workers6:35 — Why generative AI adds complexity inside organizations10:05 — What the research says about AI ROI12:54 — Where AI is delivering real wins today, especially for freelancers and small businesses16:27 — Advice for leaders and middle managers inside large organizations18:39 — Why curiosity, learning, and experimentation need to be rewarded19:02 — AI agents, the hype cycle, and why the excitement may still be justified22:25 — Why enterprises are struggling to keep pace with the speed of AI change29:18 — What the future of work may look like over the next 3 to 5 years30:02 — Why white-collar work could face major disruption33:37 — The “elevator to skyscraper” analogy for how AI should reshape work35:08 — Predictions for AI adoption, governance failures, and labor market shifts39:00 — How Kelly uses AI in her own work and business Follow AI-Curious on your favorite podcast platform: Apple Podcasts Spotify YouTube All Other Platforms For anyone interested in Jeff’s AI Workshops for their company: Reach out directly at jeff@jeffwilser.com

    43 min

  7. MAR 26

    Creating an AI-First University, w/ Kogod Dean David Marchick

    What happens when a business school decides AI isn’t a bolt-on elective, but the operating system for how students learn marketing, finance, entrepreneurship, and leadership? In this episode of AI-Curious, we’re back with David Marchick, Dean of the Kogod School of Business, to see what changed after his earlier promise to become the country’s first AI-first business school. We dig into what “AI-first” actually means in practice, what worked (and what failed), and how a culture of experimentation turned AI adoption from a handful of pilots into a school-wide shift. We also tackle the most unavoidable issue in education right now: cheating. David shares Kogod’s approach to disclosure, ethics, group work, oral exams, and why “blue books” may be making a comeback. From there, we zoom out to the bigger stakes: the existential threat AI poses to universities, how the higher ed business model may change, and what skills still matter when AI can generate content on demand. Guest David Marchick — Dean of Kogod School of Business Key topics we cover 3:56 — The “tipping point”: how AI moved from experiments to 90% of faculty using it7:16 — What “AI-first business school” really means: AI + fundamentals + “power skills”10:32 — Cheating and assessment: disclosure statements, prompts, oral exams, blue books16:51 — A prompts-only entrepreneurship course and what personalized learning could become22:06 — Non-technical students building apps and graduating with an AI-driven portfolio23:38 — Practicing negotiations against AI counterparts with different personalities25:04 — Agentic workflows as a management tool, not just a technical novelty29:13 — The university headwinds: demographic cliff, international enrollment, funding, AI38:58 — Leadership lessons: top-down AI culture plus bottom-up workflow redesign40:42 — How David uses AI personally, including Tour de France route training plansFollow AI-Curious on your favorite podcast platform: Apple Podcasts Spotify YouTube All Other Platforms For anyone interested in Jeff’s AI Workshops for their company: Reach out directly at jeff@jeffwilser.com

    43 min

  8. MAR 19

    The Future of Media in the Age of AI: Misinformation, Attention, and Personalization (From Davos)

    What happens when AI makes the news feel like it was made just for us, and the “objective” version quietly disappears? Here we have something of a “very special episode” of AI-Curious. I was recently in Davos during World Economic Forum week, and was honored to speak on a panel on the Future of Media. This is that panel.  We dig into the trust crisis in journalism, the attention economy, and how AI may accelerate the shift toward personality-led media and hyper-personalized information feeds. We also explore why misinformation is not new, but why AI makes it easier, faster, and more scalable, and what that means for democracy, markets, and everyday decision-making. Across the conversation, we unpack a core tension: AI can help deliver more context, more viewpoints, and more interactive storytelling, yet it can also deepen filter bubbles by giving each person a “perfectly tailored” version of reality. We discuss incentives and business models, including subscriptions, creator-led journalism, community-based distribution, and ideas like micropayments, as well as the role of media literacy and education in helping audiences navigate what’s real. Panelists Lexi Mills (Moderator), CEO of Shift6 Studios Jeff Wilser, Host of AI-Curious Francesca Gargaglia, Co-Founder & CEO of social.plus Mark Kollar, Partner at Prosek Partners Johnny Gabriele, Co-Founder & CEO at Daedalus Partners Key topics we cover 03:07 — Trust, attention, and the rise of personality-led media reshaping news consumption05:22 — Why AI accelerates a pre-existing media business crisis, and how trust erodes as convenience rises12:48 — Algorithms before generative AI: engagement incentives, anger, and the personalization trap17:29 — The “personalized Walter Cronkite” future and the risks of hyper-customized news26:58 — Micropayments, creator platforms, and whether new economics can reward truth27:23 — Media literacy: teaching people how to evaluate sources and resist “feed-based reality”38:18 — Global perspectives: access, affordability, radio’s role, and how personalization may spread worldwideFollow AI-Curious on your favorite podcast platform: Apple Podcasts Spotify YouTube All Other Platforms For anyone interested in Jeff’s AI Workshops for their company: Reach out directly at jeff@jeffwilser.com

    45 min
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4.9
out of 5
24 Ratings

About

Every week, Jeff Wilser sits down with the people building, breaking, and reckoning with AI — from the CEO of Upwork to the pioneer who coined "AGI" to an AI social network where bots wrote manifestos and had existential crises. Wilser is the author of eight books, AI keynote speaker, and the kind of interviewer who'd rather find the story no one's telling than rehash the headline everyone's read. Named by Inc. Magazine as one of the best ways to get AI-savvy. Included in UC Berkeley's data science curriculum.

Information

  • Creator
    Jeff Wilser
  • Years Active
    2023 - 2026
  • Episodes
    134
  • Rating
    Explicit
  • Copyright
    © 2026 AI-Curious with Jeff Wilser
  • Show Website
    AI-Curious with Jeff Wilser

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