Episode summary

AI Is Coming For These 3 Industries In 2026 (a16z Big Ideas)

The a16z Show · · Hosts: Erik Torenberg · Guests: Ryan McEntush, Angela Strange, Sarah Wang

AI Is Coming For These 3 Industries In 2026 (a16z Big Ideas) – The a16z Show

Summary

The episode argues that 2026 will be a turning point in three areas where AI is moving from software features into core operating infrastructure. The host opens with the idea of an electro-industrial stack: electrified components, batteries, power electronics, motors, compute, and the supply chains needed to build them at scale in the U.S. The key claim is that America can match the technology, but not yet the full industrial ecosystem, so winning will require blending software talent with industrial veterans and rebuilding manufacturing depth.

A guest says financial services and insurance are reaching the moment when the risk of not replacing legacy systems exceeds the risk of change. In that view, AI-native platforms that unify data across mainframes, external systems, and unstructured inputs will enable parallel workflows, broader product categories, and much higher margins. The guest points to mortgage servicing and underwriting as examples where better plumbing can turn slow, labor-constrained businesses into much more profitable ones.

Another guest argues that systems of record are losing their edge as a dynamic agent layer collapses the distance between intent and execution. The most valuable products, the guest says, will sit close to users, understand preferences, and directly complete tasks in areas like IT service management. The result is a race in enterprise software where faster-moving AI-native players can beat incumbent platforms.

Key takeaways

  • The host says the U.S. can build the technology behind the electro-industrial stack, but needs a much deeper industrial ecosystem to compete at scale.
  • The host argues that winning in physical industries will require combining Silicon Valley software talent with industrial veterans and colocated manufacturing.
  • A guest says financial services and insurance are hitting a tipping point where legacy cores, not AI adoption, are the main constraint.
  • A guest expects unified data layers and AI-native workflows to make major categories like mortgage servicing far more profitable, with some businesses moving from 5% margins to 50% margins.
  • A guest says a dynamic agent layer will increasingly replace systems of record in enterprise software by turning user intent into execution faster and more reliably.

Notable quotes

“My big idea for 2026 is that the electro-industrial stack will move the world”

— A speaker on The a16z Show at 0:36

“the risk of not replacing legacy systems will exceed the risk of change”

— A speaker on The a16z Show at 5:35

“workflows will finally become parallelized. No more bouncing between screens, cut pasting data”

— A speaker on The a16z Show at 6:24

“the new winners here will be 10x bigger”

— A speaker on The a16z Show at 7:25

“the dynamic agent layer overtakes the system of record”

— A speaker on The a16z Show at 11:19

How the episode opens

Welcome to part two of our 2026 Big Ideas. Ryan Macintosh explores the rise of what he calls the electro-industrial stack, a new foundation for how we build and power America's industrial future. Angela Strange identifies a critical turning point in financial services and insurance where decades old systems are finally ready for reinvention.

And Sarah Wang reveals how a dynamic agent layer is emerging to overtake traditional systems of record fundamentally changing how enterprise software operates. These aren't just forecasts. their firsthand perspectives from investors driving change across American dynamism, financial services, and enterprise technology.

My name is Ryan McIntosh. I'm an investing partner on the American Dynamism team. My big idea for 2026 is that the electro-industrial stack will move the world.

The next industrial evolution won't just happen in factories, but inside the machines that power them. This is the rise of the electroindustrial stack. Combined tech that powers electric vehicles, drones, data centers, and all of modern manufacturing.

I I think there are common uh tropes people report on. People talk about China's so far ahead uh we can't catch up. And actually, you know, you go back a couple years ago and people were saying, you know, China's very far behind and America's incredibly fast.

So, we've seen sort of like a whiplash and now it's the opposite. I think the reality is that uh you know, the technology that China has, America can do. Uh we're very good at uh engineering.

We're very good at doing specific things. And in fact even like the you know recent stuff around rare earth for example rare earth separation and processing we know how to do this we can do this we can do it incredibly fast. The real challenge is building the ecosystem to do this industrially at scale and doing it at a low cost.

From the episode’s captions: roughly the first two minutes, lightly cleaned. Keep watching on YouTube →

Topics

  • ai-native platforms
  • electro-industrial stack
  • financial services insurance modernization
  • unified data systems
  • dynamic agent layer

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Summary, takeaways and quote selection by Octagon. Quotes are short excerpts; the full conversation is in the episode.

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