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Technologie

SHIFT

von Jennifer Strong

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Hosted by Jennifer Strong, SHIFT is a weekly podcast taking a closer look at the far-reaching impact of automation on our daily lives.
From policy to process, we seek to understand how lives are changing alongside rapid breakthroughs in frontier technologies and artificial intelligence. Join us as we navigate the challenges and opportunities presented by this reshaped reality.

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  1. What Religion Can Teach Silicon Valley About AI

    If you listen to how technologists talk about the AI they’re building, you might hear some words that sound more religious than technical: transcendence, transformation, a new kind of being..? Meanwhile, multiple religious traditions have d

  2. The Cows Don’t Read the Forecast

    AI is helping turn the dairy supply chain from push to pull, but milk still shows up whether anyone ordered it. Land O’Lakes’ CTO on AI in a business run by animals and weather We Meet: Teddy Bekele is the chief technology officer at Land O

  3. Ready for Fish-Free Fish?

    What would you say if someone offered you a taste of a salmon filet that doesn’t contain fish? The protein content, carbs, and even the omega 3s are basically the same, but what it doesn’t contain are things like microplastics and mercury.

  4. Who Owns the Future of Music?

    As AI blurs the line between creator and machine, the rules around ownership, value, and originality are all being rewritten. This week, we explore what it means for the music industry. This episode was taped before a live audience in Amste

  5. The Next Interface: Why AI Needs Physical Products

    As AI moves beyond the screen and into the physical world, the next generation of intelligent products will be defined less by bigger models than by context, trust, and the ability to act. We caught up with renowned industrial designer Robe

  6. Why the Chatbot Shopping Boom Fizzled

    Nasrin Mostafazadeh, co-founder and CEO of Verneek, traces her path from a teenage robotics champion to founding an AI company with a boy at that same robotics competition, who later became her husband. She explains why 2026's wave of gener

  7. AGI Is the Wrong Question

    Neo4j CTO Philip Rathle on why the AI systems reaching production aren't monolithic LLMs, and why "attackers think in graphs" even when defenders don't. Credits: This episode of SHIFT was produced by Jennifer Strong with help from Emma Cill

  8. Geography is Everything

    From deciding where to build a new business, airport or fire station, to understanding the potential impact of decisions regarding conservation or governance, people make billions of maps everyday using GIS. We explore the history and evolu

  9. Meet MAMA, the Mothers Fighting Against Media Addiction

    We know that kids spending time on social media are more likely to experience depression and anxiety. Less clear, and far more contentious, is the role we expect of schools, governments, and tech companies, and some parents are organizing.

  10. The Hard Part Wasn't Space

    Planet co-founder Robbie Schingler argues AI's next leap requires teaching it about the physical world, not just text. Join us as he traces the company's path from university dorm-room satellites to a daily record of the planet, in the late

  11. The Hidden Water Cost of AI

    Water shows up at every stage of the AI supply chain: to manufacture chips, to generate the power that runs them, and then more water to cool the chips in data centers. It's believed that AI's water needs by 2030 could roughly match the dri

  12. Nobody Knows How Many AI Agents They Have, and it’s Risky Business

    From Las Vegas, where AI and security conferences are putting agentic risk front and center, we explore the identity crisis inside enterprise AI, and what it means to have machines managing machines. We Meet: SailPoint President Matt Mills

  13. Invent Now: The Next Leap in Moonshots

    What if you could build solutions that unlock entirely new realities for millions of people? Aiming for something so big and so audacious that it seems almost impossible to imagine is often referred to as a moonshot. And what might it mean

  14. These Robots Might Solve Space's Labor Problem

    What’s an astronaut’s time worth? Answering that question is not a perfect science, but at more than $100,000 an hour (not counting salary - that's just to keep one alive) on the International Space Station, it’s safe to say it’s more than

  15. How to Build AI for the Physical World

    For as far as we’ve come with AI and robotics, there’s still a huge gap when it comes to combining the two. AI excels in the digital space, and in the physical world, robots are often pre-programmed. That’s where physical AI comes in. It’s

  16. Most People With Legal Problems Never See a Lawyer. AI Might Change That.

    Clio serves as the "operating system" for more than 400,000 legal professionals worldwide. Its founder and CEO Jack Newton has a lot to say about the field's agentic future, the company's vLex acquisition, and what other professional servic

  17. Building a Decentralized Drone Imaging Network

    Most geospatial data is gathered by satellites and cameras attached to planes, but a new decentralized network is helping amateur drone pilots capture and contribute ultra high resolution data. In this week's show, we go fly a drone and lea

  18. Assuming Breach and AI Agent Overreach

    Enterprises have been slogging through the AI adoption journey, but cybersecurity threat actors have been too. As the time from vulnerability discovery to breach effectively goes to zero, the new cybersecurity playbook is all about how fast

  19. Building an Internet of Cognition

    AI agents already perform complex tasks, but they largely work alone, even when they're technically connected. But what if they could collectively learn from each other, and collaborate? Our guest wants you to think about when that transiti

  20. The Race for Nuclear Fusion

    A hundred million degrees Celsius. That’s the brutal reality of commercial fusion. This week, we’re sitting down with industry leaders to discuss the front lines of an energy revolution, from surviving extreme thermal stress to building bra

  21. Meet the CIA's Former Digital Chief

    What do you think it would be like to lead AI efforts and the overall digital transformation of the CIA? This week, we find out as we dive into a world of espionage and secrets in the latest installment of our oral history project. We Meet:

  22. Quantum Computing’s Hardest Path Reaches a Breakthrough

    Microsoft EVP Jason Zander on the materials breakthrough that closed the gap, how AI agents cut the roadmap in half, and why he believes quantum's real job might be to make AI smarter. We Meet: Microsoft EVP of Discovery & Quantum Jason Zan

  23. Digital Citizens or Digital Subjects?

    Frank McCourt is an American executive and philanthropist. He’s also the author of “Our Biggest Fight: Reclaiming Liberty, Humanity, and Dignity in the Digital Age”. We talk to him about that fight before a live audience in New York City at

  24. How to Build AI for the Physical World

    For as far as we’ve come with AI and robotics, there’s still a huge gap when it comes to combining the two. AI excels in the digital space, and in the physical world, robots are often pre-programmed. That’s where physical AI comes in. It’s

  25. AI's Survival of the Fittest

    The spray-and-pray approach to AI investing is dead. Join us as we discuss what it takes to stand out in a saturated market as we move beyond the hype to identify real moats and what’s next for investors in this space. This episode was tape

  26. Teaching Kids to Think About AI—Not Just Use It

    What if we've all become so focused on what technology is capable of that we've lost track of what children are capable of? We Meet: Andrew Sliwinski is the VP and Head of Product Experience for Lego Education. Credits: This episode of SHIF

  27. AI Ethics Needs a Nightmare, Not a North Star

    What if the standard approach to responsible AI, built around aspirational values like fairness and transparency, is fundamentally broken in the age of AI agents? We Meet: Reid Blackman is the author of the new book The Ethical Nightmare Ch

  28. Built to Trust: Designing Safe, Smart Systems

    How do you build intelligent systems that people trust? Then, how do you keep that trust when things go wrong? Because when things do, it’s not the tech that loses face but the brand people relied on. This episode was taped before a live au

  29. Capital One on the Last Mile Problem

    Capital One is the largest issuer of credit cards in the U.S. It’s also one of the largest banks, and car finance companies, in the country. We learn from its experience building proprietary AI across fraud prevention, agentic workflows, cu

  30. Reliability at the Speed of Change

    Engineers charged with maintaining secure and reliable sites and services need to be able to observe what’s going on inside their systems. That observability data helps them spot issues sooner, fix problems faster, and learn from the whole

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