Feb 27, 2026 · 36m · american-optimist
How to Use AI in 2026: Opendoor Founder's Advice · Joe Lonsdale
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In this episode of American Optimist, host Joe Lonsdale interviews entrepreneur and Opendoor co-founder JD Ross to discuss how artificial intelligence is transforming software engineering, enterprise startup moats, and commercial insurance through his company WithCoverage.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Joe holds 39.8% of the talking time here. How this is scored →
Joe as informed peer 5.4 Guest teaching 3.1 Guest disagreement 0.9 Joe pushing back 2.0
speaking balance: gold is Joe, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 22:31 Barbell threat to SaaS companies
Ross forcefully challenges the assumption of SaaS safety, arguing non-technical workers will one-shot custom tools and render conventional software products worthless.
Hardest push from Joe ▶ 22:06 Challenging foundation lab scopeLonsdale pushes back against the notion that foundational model providers will successfully build and capture high-end vertical enterprise applications.
Biggest teaching moment ▶ 10:59 Explaining insurance broker feudalismRoss educates Lonsdale on why incumbent insurance brokerages cannot coordinate against new entrants due to individual producers aggressively guarding their books.
Joe holds their own ▶ 13:33 St. Patrick conversion frameworkLonsdale demonstrates his intellectual framework for venture creation by using the historical conversion of Ireland to explain why disruptive startups must adapt to existing customer rituals.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Joe as informed peer | Guest teaching | Guest disagreement | Joe pushing back | Why |
|---|---|---|---|---|---|---|
| JD Ross's Early Life, Family, and First Ventures | 4 | 2 | 0 | 1 | Lonsdale and Ross reminisce warmly about hiring Ross right out of college for Addepar and Ross's early campus moving company. The tone is highly collaborative and biographical with no adversarial friction. | |
| The Opendoor Story & Real Estate AI Innovation | 5 | 3 | 1 | 2 | Lonsdale questions Ross on the capital risks and realtor replacement thesis of Opendoor. Ross explains the unit economics of eating basis points and treating homes as standard skus rather than art. | |
| Building WithCoverage & Transforming Commercial Insurance | 5 | 5 | 1 | 3 | Lonsdale asks why traditional insurance brokers wouldn't collude to block WithCoverage. Ross breaks down the fragmented, feudal producer structure of commercial insurance brokerages. | |
| Entrepreneurial Frameworks: The St. Patrick Analogy | 7 | 1 | 0 | 1 | Lonsdale leads the discussion with an extensive historical analogy regarding St. Patrick adapting pagan traditions into Catholicism to illustrate building on existing customer frameworks. | |
| WithCoverage Market Growth & Industry Competition | 6 | 4 | 1 | 2 | Ross details how none of WithCoverage's engineers write manual code anymore due to agentic workflows. Lonsdale compares this to building legacy software platforms like Addepar. | |
| Foundational AI Labs vs. Enterprise SaaS Moats | 6 | 5 | 3 | 4 | Ross and Lonsdale debate whether foundational model labs will cannibalize specialized enterprise SaaS. Ross presents a barbell thesis where labs capture the high-value software layers while low-end software is commoditized. | |
| Enterprise AI Adoption & Navigating AI Security Risks | 5 | 3 | 1 | 2 | The conversation shifts to enterprise adoption bottlenecks, email workflow agents, and emerging deepfake voice security risks. Both share personal protocols for preventing scams. | |
| Sales Operations: Utah Cold Calling & Referral Networks | 5 | 3 | 1 | 2 | Ross explains WithCoverage's Salt Lake City cold-calling team and predicts AI spam will kill cold outreach, driving business purely toward verified double opt-in referral networks. | |
| Advice for Builders, Moral Anchors, & The Invention Era | 6 | 2 | 0 | 1 | Lonsdale cites Jevons Paradox while discussing engineering demand, and both conclude on an optimistic case for young builders entering an invention era that levels the playing field. |
Statements from this episode (17)
Lonsdale: The smartest people are consistently wrong by being overly pessimistic
“The very smartest people I know are just consistently wrong on the pessimist side.”
Ross: Most US homes are commodities accurately valued sight-unseen
“Most homes are not like pieces of art. Most homes in the country are not like your home. They're sort of commodity. They're closer to like a standard skew than a kind of one-off thing. And so you can value them sight unseen much more accurately than someone wh…”
Ross: Market speculation creates real business value by attracting top talent
“I think the funny thing about America is that we love speculation and speculation actually creates real value. People think of speculation as this bad thing, but in the case, in this case, we sort of got really lucky in that there was this meme stock moment fo…”
JD Ross: Insurance brokers collect $200B to $400B annually in fees
“Across the world. There's like 200 to four hundred billion dollars of just kind of transaction fees.”
JD Ross: Traditional insurance brokerages pay a third of revenue to producers
“One is, like, a third of their revenue up front is just going to this producer who owns the relationship.”
Ross: Zero WithCoverage engineers write code manually, relying completely on AI
“Not a single one of our full-time engineers right now, writes code anymore. They do everything through codex, cloud code, or cursor.”
Ross: Cost of building new software is asymptotically dropping to zero
“The cost of software is just asymptotically dropping to zero of building new software, which means that the way you build a company completely changes.”
Ross: AI has shifted software development from a writing to an editing job
“If the job like in the past was writing, now it's editing and shifting from being a writer to an editor is a very I think for some people, they're thriving in it, and some people are really shocked by it.”
Ross: Mid-market SaaS will be worthless in five years due to AI
“I think it's a barbell thing. Like, the large AI companies are gonna eat the top end of value, and everyone in the middle is gonna just commoditize, or people who aren't even in the software business. Like, in the next two or three years, this isn't true, righ…”
Lonsdale: Cognition will succeed due to its elite Olympiad-level engineering team
“I think I'm pretty bullish on cognition because I think Scott and like these like, 20 other like gold medal, like Olympiad winners, like probably could do something that's very, very valuable despite everyone going after it. But if you don't have 20 other Glob…”
Ross: Foundational AI labs will attack vertical AI players like Harvey
“And there's, you know, there's companies like Harvey who are going in saying we're going to be the ones who win on professional service, you know, AI for Legal or for accounting and things like that. Yeah. And I think over time, I would be surprised if more of…”
Ross: Enterprise capacity to adopt tools is AI's primary limiting factor
“I think right now the ability to absorb and adopt the tools is going to be the limiting factor for years to come.”
Ross: Context provision, not model power, is the bottleneck for AI
“Cause right now I think like the models are already so good that the constraining factor is actually your ability to provide them the context information to win.”
Ross: AI will scale automated cold calling to hundreds of thousands
“So, if it works for humans, it's going to work with AI, and so you're going to get not one or two or five calls, it's going to be 10,000, a 100,000.”
Lonsdale: AI spam calls will force a shift to verified trust systems
“No one's going to answer anymore, and you're going to have to have new systems, and it shouldn't be that hard to build like a verified system, and it's almost like if a friend recommends it.”
Ross: Cheaper AI-assisted development increases demand for software engineers tenfold
“On engineering right now, I was happy to spend, call it a 100,000 dollars to build this feature. Now it costs 20,000 dollars. I don't want less engineers. I want 10 times as many engineers, because I've actually, the set of features I would want for 20,000 dol…”
Ross: AI puts new career entrants on equal footing with industry veterans
“And this is the second time in my career where everyone's sort of kind of getting back to equal footing, and so young people who are just getting into their careers just starting are on equal ground with people like me, people like you who have spent 10, 2030 …”