Summary of William Hockey - Building the Operating System for the Dollar and Silicon Valley Heresy - [Invest Like the Best, EP.463]

Overview of Invest Like the Best — William Hockey (EP.463)

William Hockey, founder of Column and co‑founder of Plaid, describes how he built a high‑scale, profitable fintech that combines software and a regulated bank to control "the operating system of the dollar." The conversation covers Column’s product and model, Hockey’s contrarian decisions (self‑funding via debt, buying a bank), lessons about company building and talent, the role of emerging markets in product insight, the geopolitics of the dollar, and practical views on AI’s impact on financial services.

What Column is and how it works

• Business model: Column is a software company that owns a regulated bank. It exposes primitives and APIs (payments, deposits, cards, credit) so other companies can embed dollar financial services.
• Customers: Fintechs and software companies that need to “control the dollar” — examples: Built, Wise, Ramp, Brex, Mercury. Column handles network connections, routing numbers, card issuing, Fed/TCH/Swift interactions and regulatory rails.
• Economics: Technically a bank, but >90% of revenue comes from software (per‑API billing). Column passes much of the underlying bank economics to customers while keeping SaaS‑style margins.
• Strategic claim: Owning regulated rails enables product capabilities that pure software players can’t replicate.

How Column was funded and key operational choices

• No VC growth path: Hockey chose to build without (traditional) venture capital. He funded Column largely with debt collateralized by Plaid stock, bought a regulated bank (~$70M), and ran through difficult margin calls early on.
• Profitability and capital allocation:
  • Profitable company that treats annual profits like a recurring “funding round.”
  • 25% of earnings are used to buy back shares from employees every year (partial liquidity without dilution).
  • Balances growth, employee economics, and capital reserves to survive down cycles.
• People policies: employee housing/mortgage stipends for those close to the office; structured equity grants but with annual buybacks that provide liquidity.

Views on talent, compensation and culture

• Hiring thesis: prefer people who are building a meaningful, long haul — often second‑time employees rather than fresh grads. Aim for a mix: missionaries (mission‑driven), mercenaries (career builders), and hybrids.
• Messaging to hires: be explicit about dilution, preferences, and real economics; offer near‑term help (cash, housing) plus long‑term upside and recurring liquidity.
• Retention: low regretted attrition; Hockey attributes this to clear economics, better selection, and being more attuned to employees' short‑ and medium‑term needs (housing, schooling).

Emerging markets, travel, and product insight

• Regular travel (e.g., Kinshasa) is deliberate: exposes him to constrained contexts that produce different product ideas and creative solutions — often where dollar rails and fintech adoption matter most.
• Observations:
  • Many emerging markets are dollarized (formal or informal) and thus thirsty for U.S. financial rails.
  • Innovation often originates in constrained environments (mobile payments in Africa pre‑Venmo).
  • Local incumbents (e.g., Caspi in Kazakhstan, Rawbank in DRC) can build highly verticalized products that combine banking and everyday services.
• Product insight: small, obscure learnings from deep historical or regional study can unlock outsized product leverage.

On Silicon Valley, risk and founder psychology

• Critique of Silicon Valley: high consensus culture (he compares SF and Beijing), elite‑focused, sometimes disconnected from broader markets and real constraints.
• Risk and founder behavior:
  • Argues founders are often under‑risked compared to early employees (founders keep ability to take future liquidity, sell secondaries).
  • Believes failure should be more costly for founders to drive authenticity, urgency and creativity.
  • Personal lesson: the extreme financial stress of self‑funding produced resilience, sharper focus and a different mindset about concentration and long‑term focus.

The dollar, geopolitics and national security

• The dollar is the operating system of global trade: majority of global trade still denominated in USD; U.S. financial rails are a powerful geopolitical lever.
• Sanctions are a principal non‑kinetic tool: cutting someone off from dollar rails can be more decisive than military action in many contexts.
• Hockey positions Column’s work as having strategic importance — part of a broader national security ecosystem (alongside defense and intelligence tech).

AI and financial services — Hockey’s take

• Macro view: AI is transformative but not necessarily the highest‑value place for everyone to build (value will cluster).
• Where value accrues:
  • Massive distribution and brand owners who can apply AI across large cost bases will capture outsized value.
  • Legacy banks could be huge beneficiaries because their cost structures are headcount‑heavy and AI can materially reduce costs and improve risk/fraud detection.
• UX and fraud: AI can enable near‑instant, frictionless flows while improving fraud detection (protecting the minority who are vulnerable), unlocking better UX for the many.
• Skepticism: many “AI startups” focused purely on research/lab stacks will not capture the main economic upside compared to distribution/ops owners.

Practical takeaways and advice for founders

• Choose funding that matches the margin/growth profile of your business. VC is not always the right instrument.
• If you want to build something for the long term, consider being less dependent on external capital — it changes decision incentives and allows 10‑year bets.
• Be extremely specialized: find a boring niche you can outlearn everyone else (deep, narrow expertise compounds).
• Hire intentionally: balance mission and compensation; be explicit about real economics (dilution, preferences, liquidity).
• Travel and study outside your consensus bubble — constrained markets often yield better product ideas.
• Think about distribution and brand as the primary levers to capture AI upside.

Notable quotes / pithy lines

• “You have to control the dollar.” (Column’s central thesis)
• “VC money is kind of like heroin. It feels good. But you got to keep shooting up.” (on venture dependence)
• “Most important determinant of founder success: can they find the most boring thing humanly possible interesting over decades?”
• “The dollar is the operating system that connects countries in very interesting ways — it’s soft and hard power.”

Actionable items (for listeners)

• If you’re a founder: map your business economics (margins, scalable growth) and ask whether VC is the right capital structure for that model.
• If you’re hiring: offer short‑term financial stability (housing, periodic liquidity) as part of compensation to attract mid‑career talent.
• If you’re building product: travel or research outside your local consensus (emerging markets, industry history) to find overlooked leverage.
• If you’re in fintech: evaluate where AI will reduce costs (fraud, operations) and where distribution/brand will determine returns.

This episode is valuable for founders and operators who want a contrarian playbook: buy/regulate the rails, be long‑term profitable, deeply specialize, and go to places and sources that most of Silicon Valley ignores.