Futurist Amy Webb on What's Coming (and What's Here)
Episode
74 min
Read time
2 min
Topics
Sales & Revenue, Artificial Intelligence, Product & Tech Trends
AI-Generated Summary
Key Takeaways
- ✓Technology Supercycle Definition: Three general purpose technologies—artificial intelligence, connected wearable devices (face computers, smartwatches, sensors), and biotechnology—are converging simultaneously for the first time in history, creating transformation comparable to steam engine, electricity, and internet arriving at once, fundamentally reshaping every industry sector and job market within the next decade.
- ✓Steering Into Uncertainty: Leaders must adopt counterintuitive responses to rapid change, similar to driving on ice—avoid slamming brakes (short-term reactive decisions) and instead steer into the slide by making multiple small decisions while remaining calm. This approach reduces uncertainty through continuous micro-adjustments rather than seeking impossible total control over complex variables.
- ✓Data Literacy Imperative: Organizations and individuals must develop awareness of what data they create and share, as AI systems require massive datasets for training. Personal photos, wearable device metrics, and corporate information all become training data. Strategic choices about data sharing and cloaking protect future autonomy and prevent unintended consequences from AI systems trained on personal information.
- ✓Incentive-Based AI Governance: Traditional regulation fails for AI because legal systems react slowly while technology evolves rapidly. Effective governance requires incentivizing companies to make ethical choices through revenue opportunities tied to transparency, traceable data, protected intellectual property, and open decision-making processes—meeting companies where their actual motivations exist rather than imposing punitive restrictions.
- ✓Generation Transition Mindset: Everyone alive today comprises Generation T, living through the great transition—an unprecedented period of change happening faster than human nervous systems evolved to handle. Organizations must maintain three-to-five-year planning cycles despite pressure to shorten timelines, as abandoning long-term strategic foresight during this supercycle guarantees obsolescence and competitive failure.
What It Covers
Futurist Amy Webb explains the technology supercycle converging AI, wearable devices, and biotechnology simultaneously, creating unprecedented change requiring leaders to embrace uncertainty while maintaining long-term strategic planning despite operational complexity.
Key Questions Answered
- •Technology Supercycle Definition: Three general purpose technologies—artificial intelligence, connected wearable devices (face computers, smartwatches, sensors), and biotechnology—are converging simultaneously for the first time in history, creating transformation comparable to steam engine, electricity, and internet arriving at once, fundamentally reshaping every industry sector and job market within the next decade.
- •Steering Into Uncertainty: Leaders must adopt counterintuitive responses to rapid change, similar to driving on ice—avoid slamming brakes (short-term reactive decisions) and instead steer into the slide by making multiple small decisions while remaining calm. This approach reduces uncertainty through continuous micro-adjustments rather than seeking impossible total control over complex variables.
- •Data Literacy Imperative: Organizations and individuals must develop awareness of what data they create and share, as AI systems require massive datasets for training. Personal photos, wearable device metrics, and corporate information all become training data. Strategic choices about data sharing and cloaking protect future autonomy and prevent unintended consequences from AI systems trained on personal information.
- •Incentive-Based AI Governance: Traditional regulation fails for AI because legal systems react slowly while technology evolves rapidly. Effective governance requires incentivizing companies to make ethical choices through revenue opportunities tied to transparency, traceable data, protected intellectual property, and open decision-making processes—meeting companies where their actual motivations exist rather than imposing punitive restrictions.
- •Generation Transition Mindset: Everyone alive today comprises Generation T, living through the great transition—an unprecedented period of change happening faster than human nervous systems evolved to handle. Organizations must maintain three-to-five-year planning cycles despite pressure to shorten timelines, as abandoning long-term strategic foresight during this supercycle guarantees obsolescence and competitive failure.
Notable Moment
Webb reveals the 1956 Dartmouth conference that coined the term artificial intelligence included only one woman—the wife of organizer Marvin Minsky, whose role was walking the dog and supporting the men, illustrating how exclusionary practices from AI's founding continue today.
Episode Transcript
Hi, everyone. This is Brene Brown, and welcome to it's a mashup. It's a collab. It's between Dare to Lead and Unlocking Us. We're gonna drop this podcast. I so desperately want you to hear it. We're dropping it in both feeds. It's the crossover. It's like when I don't know. I'm probably gonna get my Barrett's laughing at me already, y'all. But back in the day, it was always such a big deal when, like, Fred and Wilma Flintstone showed up on, like, Scooby Doo, or one of the characters did a crossover with the other. This is that. And I'm so glad that you're here for it. It's the fifth episode in a series that we're doing about I call it living beyond human scale, the possibilities, the cost, and the role of community. And when I say living beyond human scale, I go back to this quote by Jon Kabat Zinn. You'll hear it in the podcast too. His definition of overwhelm, which I think is so beautiful, is the world and my life are unfolding at a speed that my nervous system and my psyche can't manage. And to me, living beyond human scale is everything from social media, AI, twenty four hour news, bringing us really traumatic violent stories from every corner of the world right now. And so this the the point of the series for me, really, to be honest with you, it's super personal, is to try to get to the place where we can actually inhale. Just okay. Like, what's happening? What do I need to understand to be less afraid? We're using you know, if you listen to the podcast with s Craig Watkins, I hope you do. Like, he is a scholar who studied AI, UT, Austin, and MIT. He's got a joint appointment in MIT as well. And he called me out halfway through the podcast and said, you know, this is not unusual, but you've said scary, like, 20 times. And so this is a podcast series about things that seem very scary to me. And if there's anything I've learned over the past twenty five years of my work, it's turn toward what's scary and look it in the eye and try to understand it. And and you'll see my podcast yesterday, Amy Webb, you're gonna love this conversation. She said that it's like driving on ice right now. Intuitively, you wanna slam on the brake and steer out of the ice, but you've gotta not step on the brake and turn into the ice. And so I think that's really a great metaphor for what this podcast series is about. We are not socially, biologically, cognitively, and spiritually wired for some of the shit going down right now. Probably most of it. So that's the series. Esther Perel, William Brady, s Craig Watkins, Pulitzer Prize winning New York Times journalists, Jennifer Valentino de Vries and Michael Keller. Just really trying to understand. Support for this …
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