Building Banks Properly

Why It Matters

When AI can execute routine tasks faster than humans, banks that rely only on efficiency will be displaced; purpose‑centric organizations will retain talent and competitive advantage.

Key Takeaways

• AI can automate code, but purpose cannot be automated
• Measure impact: businesses grown, families secured, communities prospered
• Hire developers who understand credit decisions' real‑world effects
• Banks must articulate a cathedral‑level purpose beyond transactions
• Shift metrics from lines of code to societal outcomes

Pulse Analysis

Artificial intelligence is reshaping banking technology at a pace that makes traditional efficiency metrics obsolete. Developers who simply "write code" are increasingly interchangeable with AI‑generated solutions, eroding the unique value humans once provided. The article’s bricklayer analogy highlights a deeper problem: without a clear sense of purpose, banks risk becoming commoditized service factories. By reframing work as part of a larger "cathedral"—enabling growth for businesses and security for families—banks can cultivate judgment and empathy that machines cannot replicate.

To operationalise this shift, banks must overhaul performance measurement and talent strategy. Instead of counting lines of code or tickets closed, leaders should track outcomes such as the number of small‑business loans approved, the amount of capital deployed, and the resulting jobs created. Converting the £50 million (≈$62.5 million) annual loan extension into a concrete impact metric illustrates how purpose‑driven goals translate into measurable economic benefit. Hiring practices should prioritize candidates who grasp the societal ramifications of credit decisions, while senior leaders are evaluated on their ability to articulate and inspire a cathedral‑level vision.

Looking ahead, banks that embed purpose into their DNA will be better positioned to leverage AI as a productivity tool rather than a replacement. Those that continue to measure only transactional efficiency will likely see their workforce displaced as AI handles routine processing. By championing a mission that centers on human and business growth, banks can differentiate themselves, foster loyalty, and secure a sustainable competitive edge in an increasingly automated financial landscape.