$100M Exits with Jason Kirby

The episode delivers a genuine handful of non-obvious claims - the 80/20 AI-adoption silos, the 'time on their side' investment heuristic, the native-AI definition, and the conservative-projection-during-process tactic - but these are interspersed with a lot of throat-clearing, basic growth-equity 101 explanations, and generic AI commentary that any operator already knows.

“I think there is almost an 8020 rule where uh, like 20% of employees are kind of driving 80% of the AI adoption at a given company, but they tend to be siloed”

“Missing your projections mid process is like a death sentence”

The native-AI litmus test ('if the LLMs went away, does your business still operate?') and the hyper-local-rollout failure pattern are genuinely fresh framings, but the episode also leans heavily on the ubiquitous 'every company needs to be an AI company' trope and recycles the Warren Buffett diversification line without adding new perspective.

“if the LLMs, the Frontier models, went away, does your business still operate if the ant is your business? Okay, if the answer is yes and you're using AI, you're probably AI adjacent, you're not AI native”

“I've yet to see a business that across the entire organization is truly native AI”

Jim Verri is a genuine GP at a real $1.8B growth-equity fund, can name actual portfolio outcomes (Kinetics), and speaks from real board-room experience rather than theory; he is a credible practitioner but not a marquee name and the transcript reveals no truly singular insight only he could provide.

“when we exited, they wound up having, I don't know, maybe 30 or 40% of the Comscore largest 100 publishers using, uh, the Kinetics product”

“we have 15 or so analysts that are talking to 20 plus entrepreneurs each week”

The episode is meaningfully grounded in real numbers - specific ownership ranges, named companies, concrete multiples, headcount metrics, and deal timelines - though the guest occasionally retreats to vague ranges ('mid single digit ARR multiples') when pressed for cleaner data.

“we saw a business that went zero to, I don't know, 17 or 20 million run rate in nine months. Uh, that was funded at like 1.3 billion or something like that”

“if you miss your projections by 15% someone's probably going to retrade on you”

The host asks some structurally sensible questions (deal blow-ups, contrarian bets, who pulls the trump card) but consistently fails to follow through when the guest deflects - accepting vague answers on multiples and AI adoption without probing - and frequently pivots to talking about his own client experiences rather than extracting more from the guest.

“I wasn't giving me the juice I was looking for there, but I'll take it”

“And what makes a company ready for growth equity?”