Tearsheet Podcast: Exploring Financial Services Together

The episode delivers solid, well-grounded observations about fintech maturation, trust parity, and AI adoption differentiation. However, much of the substance relies on report findings rather than novel synthesis, and considerable time is spent on soft setup and positioning. The stablecoin discussion (1% end-user payments) is concrete and useful, but the overall density of genuinely non-obvious claims is moderate rather than exceptional.

“only 1% of that...is really end user payments like remittances or paying suppliers or things like this. Everything else is arbitrage trading, uh, crypto, native activity”

“the simplest way of banking is collecting deposits and giving loans. That core model is at risk, right? If customers use their own agents to optimize deposit pricing and send money to different banks who become dumb product providers in the background, margins will contract”

The framing of fintech maturity (profitable, self-funding winners vs. zombie-cap tables) is useful but not novel - this narrative has circulated widely. The trust-catching-up-to-fintechs observation is interesting but presented as survey data without deep analysis. The deposit-seeking AI agent threat is plausible but underdeveloped. The analysis largely confirms existing fintech-watchers' intuitions rather than challenging them.

“a feature is no longer a fintech”

“trust and distribution seems to be the moat”

Max Flutoto (McKinsey senior partner, global retail banking lead) and Mike Packer (QED partner, early-stage fintech investor for 17+ years) are legitimately credible practitioners with real operational exposure. Both have institutional scale and long track records. The value lies in their dual-perspective positioning, though neither reveals deeply personal operational war stories or proprietary insights that suggest hands-on execution beyond strategy/investing.

“I lead our global retail banking practice and I coordinate most of our fintech work across Europe”

“QED has been around for 17 or 18 years now and investing in global fintech at the earliest stages”

The episode cites concrete data points - 35 trillion USD stablecoin volume, 1% end-user payments, 390 billion USD remittance figure, trust survey comparisons, 200+ annual touchpoints for banks vs. 30-40 previously, and funding distribution (45% to 25% growth capital). However, most examples are company-name-avoided references ("Stripe," "Ramp," "Revolut," "Nubank" mentioned, but founders often say "I'm not going to name names"). Few specific deal sizes, timelines, or proprietary metrics are shared. The wealth inheritance discussion lacks numbers.

“35 trillion USD in annual stablecoin transaction”

“only 1% of that...around 390 billion uh, uh, uh, USD is really end user payments”

Zach Miller asks thoughtful setup questions and probes for disagreement and differentiation, which yields useful texture. However, follow-ups are often surface-level; when complex claims emerge (e.g., deposit-seeking agents, wealth reallocation, agentic AI scale), the host rarely presses for specifics, timelines, or counterarguments. The guests are gracious and avoid defensive posturing, but the conversation doesn't generate genuine tension or force deeper reasoning. The closing preference picks feel rushed and underdeveloped.

“I wasn't trying to sew dissension here. I was just curious if there was a little bit behind the scenes”

“I'm not asking you guys to, I'm not sewing dissension again but I'd like each of you to pick like what you find the most interesting of those six”