AI, tested against real-world consequences.
SHIFT is a measured interview series about the practical consequences of frontier technology. Its conversations follow AI into physical systems, legal services, incident response, elder care, security, and human-centered design.
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SHIFT is a measured interview show about artificial intelligence as it enters the systems people depend on. It avoids treating automation as either magic or doom. The emphasis is practical. Recent episodes look at physical AI for robots, cars, power grids, transportation, and supply chains, where statistical mistakes can become unacceptable real-world failures. The show also follows AI into professional services, including legal work, where access, data, practice management, and demand for lawyers are all shifting at once. Reliability is another major thread. Conversations about observability and incident response treat technical outages as human and organizational events, shaped by trust, debriefing, responsibility, and learning. The show is especially attentive to dignity. In episodes on human-centered AI and aging in place, technology is judged by whether it supports people under real constraints, not by whether it sounds advanced. AI agents give SHIFT a sharper alignment question: what happens when systems take action, retain experience, drift in behavior, or need secure ways to communicate with other machines? The tone stays patient. Guests are allowed to build arguments over time, often moving from a broad premise into a detailed example and then back to the social stakes. That structure gives the show a useful steadiness in a noisy AI market. It is not a hype program. It is not a purely academic one either. Its strongest episodes sit between engineering reality, institutional responsibility, and everyday consequences. For listeners trying to understand where AI is actually being absorbed into work, care, law, infrastructure, and security, SHIFT offers a careful map of the change already underway.
Made for: SHIFT is for listeners who follow AI beyond product announcements and want clear conversations about systems, responsibility, and social impact. It suits technologists, policy-minded professionals, founders, researchers, and curious general listeners who prefer careful framing over hype.
What sets it apart: SHIFT stands out by treating AI as infrastructure embedded in law, care, transport, security, and organizational trust. Its interviews keep returning to what breaks, who is affected, and what responsible deployment requires.
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.
Based on 5 episodes we listened to · September 2026
SHIFT connects frontier technology to the operational failures, institutional choices, and human responsibilities that appear when systems leave the lab.
SHIFT follows emerging technology into the places where reliability, responsibility, and human consequences become unavoidable. Jennifer Strong builds interviews around a practical question: what changes when an ambitious system has to work outside a demonstration?
Moonshots meet Marxist agents and fall-detecting wearables, giving your AI curiosity a useful reality check.
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Short reviews from the PlayNext desk, based on the episodes we processed.
A clear, grounded case for why AI must understand the physical world before it can safely move through it.
SHIFT's conversation with Daniela Roos, director of MIT's Computer Science and Artificial Intelligence Lab and the 2025 IEEE Edison Medal recipient, draws a useful line between AI that works cleanly in digital space and robots that still often depend on pre-programmed behavior.
A practical take on observability, incident response, and what teams learn when systems fail.
SHIFT treats observability and incident response as practical work, not a slogan. Christine Yen and Jennifer Tejada sound like people who have lived through the mess, and the conversation keeps returning to the work itself: debriefs, repeat incidents, alert routing, and the…
A grounded look at AI as a support layer for safer aging at home.
The piece frames aging in place as a basic capacity problem: more older adults need support, while the workforce around them is stretched thin.
A strange premise that settles into a clear look at agent drift and alignment.
It starts from a strange question about whether overworked AI agents can drift toward Marxist attitudes, then uses that odd hook to ask a more ordinary problem: what happens when agents keep learning from repetitive work.
A practical take on moonshots that balances imagination with discipline.
Astro Teller's account of X reads here as a practical theory of how moonshots take shape: leave room for invention at the start, then tighten the rules as the work grows up.
Reality, examined past the shortcut.
Global news, sharpened into consequence.
Tech power, counted in costs and constraints.
TED's stage, one speaker at a time.
Philosophy with technical consequences.
D.Z.
Land O’Lakes CTO Teddy Bacali says its recipe-site experiment showed that visitors often want to browse butter-and-cheese recipes for inspiration, not get a prescribed match.
Shift host Jennifer Strong tours New School Foods in Toronto, where founder Chris Bryson calls the company "more a manufacturing technology company" than a seafood brand.
On SHIFT, Daniela Rus explains why AI that works in digital systems is not automatically reliable for cars, power grids, or other physical-world applications.
Jennifer Strong hosts a live panel at the HumanX Conference in San Francisco with Christine Yen, co-founder and CEO of Honeycomb, and Jennifer Tejada, CEO and chairperson of PagerDuty, discussing how reliability and incident management are changing in the age of AI.
This episode explores the story of Fei-Fei Li, the creator of ImageNet who revolutionized computer vision AI, as part of an oral history project on technology and privacy.
The episode looks at how technology might help people age in place as the senior population grows and the workforce serving them struggles to keep up.
Shift opens with a question about how AI agents change when the work changes.
Astro Teller, the “captain of moonshots” at X, explains how Alphabet’s moonshot factory chooses problems, tests ideas, and drops projects early when the evidence fails.
This episode explores how AI agents and bots are creating cybersecurity challenges by taking autonomous actions, and features Tailscale as a networking solution that helps connect devices and bots securely across firewalls.
This episode explores how organizations are adopting agentic AI and its effects on human employees' job satisfaction, based on research from MIT Sloan Management Review.
This episode explores the global race for critical minerals and how AI is being used to discover new mining sites.
This episode explores how AI and advanced data analytics are transforming risk management and compliance workflows in the financial industry.
A tour of New School Foods, a startup creating plant-based fish and steaks, exploring the technology behind next-generation meat alternatives.
Host Jennifer Strong interviews CEOs of Cerebrus and IonQ about AI chips and quantum computing breakthroughs at a Davos salon.
This episode explores the shift from AI agent demos to successful real-world deployments, featuring insights from the World Economic Forum in Davos.
Jennifer Strong interviews Hilke Schellman about the use of AI in hiring and its potential biases.
A roundup of the biggest tech trends expected in the year ahead, featuring interviews with journalists and experts.
Host Jennifer Strong interviews Dr.
This episode explores the history and philosophy of AI testing, and how AI is being used to support the elderly.
A discussion on the blurring lines between AI as tool, companion, and manipulator, exploring psychological and legal implications.
This episode examines widening gaps in trust, understanding, and opportunity regarding AI, featuring an interview with Edelman's global technology practice lead about their latest trust poll.
Jennifer Strong explores the challenge of moving quantum computing from scientific milestone to measurable business value, featuring interviews with two European founders at Web Summit.
This episode explores the challenges and importance of developing physical AI systems that can operate reliably in the real world, featuring insights from MIT researcher Daniela Roos.
This episode explores how to build a moonshot factory with insights from Astro Teller, focusing on ambitious innovation and technological advancements.
This episode explores what it's like to lead AI for the CIA, featuring an interview with a former intelligence official.
This episode explores how space robots from Icarus Robotics could help reduce the high labor costs of astronauts performing mundane tasks on the International Space Station.
Jennifer Strong hosts a panel discussion at Tech Barbecue on the energy and sustainability challenges of AI and computing.
An interview with the lead architect of the EU AI Act about the challenges and controversies of regulating artificial intelligence.
This episode explores the rise of AI agents and their impact on high-trust fields like law, featuring an interview with Thomson Reuters' chief product officer.
This episode takes listeners on a factory tour of New School Foods in Toronto to explore next-generation plant-based foods, focusing on fish-free fish alternatives.
This episode discusses the controversy over OpenAI using a voice similar to Scarlett Johansson's without permission, and broader issues of AI ethics and development.
This episode explores the concept of artificial intelligence, its history, and its growing impact on society, featuring examples like self-driving cars and IBM's Watson.
Host Jennifer Strong interviews Frank McCord about his book on internet regulation and data privacy in the digital age.