Mar 1, 2024 · 32m · saastr
6 Questions Founders Should Ask Themselves to Drive Value from Generative AI with Base10 Partners
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
Base10 Partners investors TJ Nahigian and Lucy Fonseca analyze the generative AI platform shift, examining why incumbent software providers hold decisive defensibility advantages over upstarts while outlining strategic frameworks for founders navigating the new economic landscape.
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 →
Jason as informed peer 0.0 Guest teaching 0.0 Guest disagreement 0.0 Jason pushing back 0.0
speaking balance: gold is Jason, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 10:20 Critique of churny upstart business models
In a presentation setting devoid of conflict, this represents the most critical framing as Lucy points out copycats and poor retention among early AI startups.
Hardest push from Jason ▶ 19:20 Reframing defensibility assumptionsThe speakers reject earlier market assumptions regarding branding and community moats in favor of strict data and workflow advantages.
Biggest teaching moment ▶ 21:20 Casetext case study breakdownTJ educates the audience on how an incumbent with legal distribution scaled an AI feature from zero to nine million ARR in seven months.
Jason holds their own ▶ 27:40 Historical platform value capture precedentTJ demonstrates deep market expertise by contrasting incumbent value capture in cloud and mobile against early investor expectations.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Jason as informed peer | Guest teaching | Guest disagreement | Jason pushing back | Why |
|---|---|---|---|---|---|---|
| The Evolution of AI and the Surge in Innovation and Funding | 0 | 0 | 0 | 0 | This is a co-presentation delivered by TJ Nahigian and Lucy Fonseca without host participation. The speakers collaboratively discuss the historical evolution of platform shifts and the rapid surge of AI venture funding. | |
| Market Framework and the Upstart Landscape | 0 | 0 | 0 | 0 | The presenters introduce their market landscape framework across platform, infrastructure, and application layers. They note critical retention headwinds facing upstart application companies in an entirely cooperative presentation style. | |
| Incumbent Strategies: Big Tech, NVIDIA, and Enterprise ninjas | 0 | 0 | 0 | 0 | TJ and Lucy break down incumbent positioning, analyzing Big Tech foundational models, NVIDIA's hardware dominance, and enterprise ninjas like ServiceNow and Notion adopting generative AI internally. | |
| Defensibility and Moats: Distribution, Data, and Workflows | 0 | 0 | 0 | 0 | The speakers explain the shift in their investment thesis, arguing that long-term defensibility narrows down specifically to distribution, data, and embedded workflows, which favors incumbents. | |
| Case Studies in Incumbent Value Capture: Casetext, Notion, and Gorgias | 0 | 0 | 0 | 0 | Detailed case studies of Casetext, Notion, and Gorgias are presented to show how existing workflow and distribution advantages allow incumbents to monetize AI add-ons rapidly. | |
| Business Model Economics and Enterprise Value Dynamics | 0 | 0 | 0 | 0 | TJ reviews unit economics improvements driven by generative AI, detailing margin expansion, ARPU uplift, and historical parallels to cloud and mobile value capture. |
Statements from this episode (12)
Fonseca: AI patent filings in 2021 grew 30x over six years
“The number of patents filed in 20, 21 in AI was essentially 30 times the number that was published six years earlier.”
Fonseca: AI application upstarts face severe retention challenges
“What we have seen, though, in the applications in Upstarts is that a lot of them are now facing challenges, and those challenges essentially boil down to one word, and that's retention. Retention has been tough for some of these, and there's a couple of reason…”
Fonseca: GitHub Copilot is writing 50% of all code
“GitHub CodePilot is now writing 50% of code, and that's every other line of code to put that in perspective.”
Fonseca: Only distribution, data, and workflows create GenAI moats
“But now TJ and I are pretty sure that only three things matter, and it's whether you can distribute, so it's distribution, it's your data, and it's the workflows. Only these three things matter.”
Fonseca: Incumbents will capture most early GenAI value
“A lot of the value, not all, but a lot of the value in this early platform shift is going to be captured with income by the incumbents. And naturally it's because they already have huge advantages on distribution data and workflows over their upstart competito…”
Nahigian: Casetext reached $9M ARR in seven months before $650M acquisition
“So they launched it as an add-on, went from zero to nine million of AR in seven months, created a ton of interest, both from VCs, but also from strategics. And a few weeks ago, they announced they were getting acquired by Thomson Reuters for about six hundred …”
Fonseca: Notion AI will likely reach $100M+ ARR in the near term
“And they've been able to price that in such a way that our guess is it'll probably be a hundred million Plus AR business in the near term for them, and they're charging essentially an upsell of seven to 10 dollars to be able to turn on Notion AI.”
Fonseca: Notion launched its AI feature to 30 million users
“They turned this feature on to a user base of thirty million people, including their very much growing enterprise practice.”
Nahigian: Gorgias aims to automate 50% of merchant interactions within 12 months
“Initially it started to automate seven percent of tickets. It's gotten up to 18% today. They think within the next six to 12 months they'll be able to automate 50% of the back and forth interactions between e-commerce merchants and their end customers.”
Nahigian: Amazon Captured More Value with AWS than Entire On-Prem Storage Market
“Amazon actually wasn't built as a cloud business. It wasn't built as a storage company. It was an incumbent e-commerce business. They just happened to launch AWS, and they ended up capturing Way more value just them in and of themselves than the entire on-prem…”
Nahigian: Meta Captured More Mobile Value than AT&T and Verizon Combined
“Meta was not a mobile company. It wasn't built as a mobile company. They captured more value from mobile than AT&T, Verizon, et cetera, combined, right? Just Meta.”
Fonseca: Top generative AI startups sell value propositions, not AI buzzwords
“Some of the most interesting generative AI companies that I've met don't even talk about generative AI. They don't even mention it, but it's powering everything in the background, and what they're selling is just a value prop.”