AI First with Adam and Andy

The episode contains several substantive claims about product-market fit, the build-vs-buy software economics, and the role of AI in go-to-market, but much of the conversation circles around the same points (Kareem's measured AI adoption stance, the definition of 'go-to-market engineer') without dense new frameworks or data. The second half especially becomes repetitive as Andy pushes Kareem on AI adoption without new revelations.

“if the answer is no, then is your kind of software particularly susceptible to disruption by build? So on one end of that, you might say Stripe is not, right? Because there is risk, there's compliance, you're not gonna go do all of that stuff.”

“LLMs are ridiculously good at turning unstructured information to structured information.”

While Kareem's framework for evaluating software disruptability (build vs. buy) and his concept of the 'go-to-market engineer' role are reasonably well-articulated, they are not particularly novel or contrarian. The debate over AI adoption and when to use it vs. not feels well-trodden in 2026. The hosts' argument that Kareem is under-utilizing AI has been heard many times across podcasts.

“we originally started with the idea of how do we give the power of programming to more people. And through a windy set of decisions, ended up giving it to go-to-market people.”

“my job is to ideally try to do the thing that uniquely I can do. And hopefully that's kind of like having a broad view synthesis of like what's happening in the company”

Kareem is a legitimately credible guest - founder and CEO of a genuinely fast-growing company (claimed 'one of the fastest growing in the world'), early to productize LLMs (same day as GPT API release), and speaking from 15+ years of operating experience. He has clear skin in the game and isn't a pure thought-leader. The only limitation is the interview doesn't push him deep on specific operational metrics or harder business decisions.

“I'm originally from Egypt and then I moved to McGill to do a degree in electrical engineering and also studied physics”

“one of the fastest growing companies in the world”

The episode lacks concrete numbers, named customer examples, or specific metrics. Kareem mentions headcount transitions ('350 people going to 600 this year') and hypothetical productivity gains for other engineers ('20, 25%'), but provides almost no evidence about Clay's actual ARR, churn, NRR, customer counts, or specific customer use cases. The discussion remains largely abstract about LLM capabilities rather than grounded in data.

“we're like 350 people going to 600 this year”

“when I'm in meetings with other CEOs, we're talking about like how much productivity are you getting? Is it 20, 25%?”

The hosts ask reasonable opening questions and do push back on Kareem's AI skepticism, but the questioning becomes somewhat repetitive after the 20-minute mark. Andy and Adam largely reiterate the same argument (you should use AI more as a CEO) without sharp follow-ups that probe into specific business trade-offs or unexplored areas. The conversation feels more like friendly debate than incisive interview.

“if the answer is yes, then that's one possibility. I don't think that's the case. And we can discuss why”

“I actually think that you're pointing out two things that are worth pointing out”