When does predicting the future become a science and not a fantasy? What can be learned from forecasts throughout the ages and across different industries? What does the future of energy look like, given certain unchangeable limitations of physics themselves?
Mark P. Mills is the founder and executive director of the National Center for Energy Analytics and the author of the books The Cloud Revolution: How the Convergence of New Technologies Will Unleash the Next Economic Boom and A Roaring 2020s, Digital Cathedrals, and Work in the Age of Robots.
Greg and Mark discuss the complexities and pitfalls of forecasting, why we often get it wrong, and the various types of forecasters. Mark explains the interconnectedness of energy, computing, and infrastructure, arguing against a simplistic view of an energy transition and highlighting the intricate dance of innovation and efficiency across centuries. He also touches on the future impact of AI, the importance of complementary investments for technological growth, and the profound phase changes society is currently undergoing.
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Episode Quotes:
On forecasting and the future of technology
06:04: In the book [The Cloud Revolution], what I chose to do was a framing of a forecast with technology that was very specific, and which I think can be highly predictive and accurate. And this is not about how much money people will make or what company will succeed, but if you want to forecast the next decade on technology, not about human nature, not about wars, not about who gets elected, those things all matter because the world is dynamic, and these things interact. Economies matter; they affect our ability to build things, fund things. So, an economy that's shrinking can delay the forecast of a new product or service because if the new product or service requires new capital, new infrastructure, and capital's expensive, then the actual emergence of that system might take longer than you thought, but it'll still happen. It'll just happen later.
Efficiency fuels demand, not reduces it
44:15: The idea, which we can find better and implement better through compute communications and AI, means that we have not tapped all the efficiencies, systems, and supply chains. There's enormous efficiency to be had. But efficiency creates demand; it doesn't kill demand…This complete misunderstanding of efficiency is a failure to understand how humans operate, how we live our lives, and what we like to do.
Why big airplanes won't fly on lithium batteries
40:39: When the technologies are new, there are two things about them: we haven't figured out how to make them at physics limits yet. Our knowledge is weak. We haven't refined the engineering because it's a new technology. So, as you do that, you approach physics limits. And this is what's going on now with batteries. You can't store more energy in a lithium battery than exists in the lithiated chemicals. You can't. I mean, it's the lithium atom. It's one of the most energetic atoms on the periodic table. But lithiated chemicals have one-fifth the energy per pound that hydrocarbons do. So, hydrocarbons start with a 50-fold. That's a pretty big advantage in energy per pound. So, what you would do then is make machines to extract the energy per pound, which is why big airplanes are not going to have lithium batteries. They'll carry them, but they're not going to fly with them. Little ones can because the advantage that the hydrocarbons have in the physics of the universe we live in is so much greater. So, it doesn't matter how cheap the lithium is. If it were free, it wouldn't change the fact that the fuel for the airplane would weigh more than the airplane because it's not dense enough.
Systems have inertia
33:48: Systems have inertia, economic systems, and financial systems. Physical systems all have inertia. It's a physics term, but it's anchored in how the universe really operates. You can't change big things quickly, except by explosions, right? In social economic terms and physical terms. You can change things quickly and explosively, but explosions are destructive, whether it's a financial, economic, or physical system. So, the velocity of change first begins with the size of the system you're trying to change.
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unSILOed with Greg LaBlanc 