Dec 26, 2025 · 12m · a16z
AI Is Coming For These 3 Industries In 2026 (a16z Big Ideas)
0:00 / 0:00
▶ Watch on YouTube →
gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
In this second installment of a16z's Big Ideas 2026 series, investing partners Ryan McEntush, Angela Strange, and Sarah Wang outline transformative technological shifts across American dynamism, financial infrastructure, and enterprise software. They detail how AI and software innovation are revitalizing physical manufacturing, replacing legacy financial architectures, and replacing passive systems of record with dynamic agent layers.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. How this is scored →
The host as informed peer 0.0 Guest teaching 5.8 Guest disagreement 1.8 The host pushing back 0.0
speaking balance: gold is the host, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 9:23 Challenging Systems of Record Primacy
Sarah directly rejects the long-standing enterprise software doctrine that systems of record are unassailable due to data gravity.
Hardest push from the host ▶ 0:35 No Host Pushback PresentThe episode consists entirely of solo guest monologues, so no host pushback occurs.
Biggest teaching moment ▶ 1:00 Correcting China Capability NarrativesRyan educates listeners on how America possesses the core technology for rare earths and engineering, but lacks the surrounding supplier ecosystem.
The host holds their own ▶ 0:35 No Host Hit Back PresentBecause the host does not engage in interactive dialogue during the monologue presentations, no host expertise is demonstrated.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | The host as informed peer | Guest teaching | Guest disagreement | The host pushing back | Why |
|---|---|---|---|---|---|---|
| Ryan McEntush on the Electro-Industrial Stack | 0 | 6 | 2 | 0 | Ryan presents a monologue analyzing the electro-industrial stack and countering common tropes about American vs Chinese technical capabilities. Because this is a monologue without active host participation, host expertise and host pushback are zero. | |
| Reshoring Supply Chains and Long-Term Power Dynamics | 0 | 5 | 1 | 0 | Ryan outlines the long-term importance of controlling physical supply chains before Angela introduces legacy financial software bottlenecks. The segment is strictly monologue-driven, resulting in host-side scores of zero. | |
| Drivers of Modernization and Founder Opportunities | 0 | 6 | 1 | 0 | Angela details three explicit catalysts pushing banks and insurers to replace aging mainframes with modern AI platforms. Without any host involvement or dialogue, host scores remain zero. | |
| Sarah Wang on Systems of Record vs. Dynamic Agent Layers | 0 | 6 | 3 | 0 | Sarah challenges conventional venture wisdom by arguing dynamic agent layers will replace traditional systems of record like ServiceNow. As a solo presentation, host-side metrics are zero. |
Statements from this episode (16)
McIntosh: Electro-industrial stack will drive next industrial evolution by 2026
“My big idea for twenty-twenty-six 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.”
McIntosh: US rare earth bottleneck is scale and cost, not technology
“I think the reality is that you know, the technology that China has, America can do. We're very good at engineering. We're very good at doing specific things. And in fact, even like the, you know, recent stuff around rare earths, for example, rare earth separa…”
McIntosh: SpaceX and Anduril vertically integrate by necessity, not strategy
“In many ways, they're vertically integrating by necessity, not strategy. There just isn't an ecosystem of companies that can scale with them.”
McIntosh: US could take decades to match China's industrial supplier ecosystem
“Those are the things that might take years or decades for us to catch up to China. We can do the technology, but everything else needs to grow with it, or else we're just moving the bottleneck.”
McIntosh: Hardware companies must reshore or vertically integrate key component supply chains
“All these things we're going to need to either reshore or vertically integrate within the companies who are building the end product.”
McIntosh: Electro-industrial supply chain ownership will dictate global military and economic power
“And I think as we, you know, look forward 50, a hundred years, owning the supply chains today are going to have a lot of effects of Who controls both the sort of economic and military powers in, in the future.”
Strange: Financial institutions will drop legacy software for AI competitors by 2026
“My big idea for twenty-twenty-six is there will be a dramatic turning point coming to financial services and insurance, where finally the risk of not replacing legacy systems will exceed the risk of change. It's already happening. Major institutions will let l…”
Angela Strange: AI will parallelize financial workflows like mortgage underwriting
“Workflows will finally become parallelized. No more bouncing between screens, cut pasting data. For instance, your mortgage team could see the 400 plus tasks that are needed to underwrite your loan, do them in parallel, and even have agents do some of the more…”
Angela Strange: Next-gen fintech winners will be 10x larger by capturing labor
“The new winners here will be 10 X bigger. Not only because those software categories are bigger, but because software is able to consume a lot of the labor that humans didn't want to do anyways, or that banks or insurance companies couldn't hire for fast enoug…”
Strange: AI adoption raised mortgage servicing margins from 5% to 50%
“And those companies in some areas like mortgage servicing have been able to turn areas of their business from five percent margin businesses to 50% margin businesses.”
Wang: Passive systems of record stop making sense with autonomous agents
“A passive system of record layer stops making sense when agents can independently execute on a signed intent.”
Wang: SaaS 2.0 failed to displace enterprise systems of record
“There was a wave of SAS two point O that was well-funded and tried and failed to take on the system of record, mostly through a better UI.”
Wang: AI offers a 10x UX jump threatening enterprise systems of record
“This is the first time that we've seen a genuine threat to that. And that's because the distance between intent and execution is collapsing. And that's creating not a 20 to 50% better experience for the user, but how you get to that magical TEDx.”
Wang: Enterprise value will accrue to user-facing AI agent layers
“It's really the emerging agent layer that sits as close as possible to the user and is collecting data on that user, understanding user preferences that we think accrues value in the future.”