There is a particular kind of institutional arrogance embedded in the assumption that banking, as an industry, has finally figured out its future. Chris Skinner, writing on his long-running financial commentary platform The Finanser, punctured that assumption with characteristic precision last week, observing that the future of banking is currently being fought over by artificial intelligence, human intelligence, and — in a note that should unsettle every boardroom in the sector — occasionally a complete lack of either. It is a line that reads like dark comedy, but functions as diagnosis.

The occasion for Skinner's commentary was a pair of headlines from FinTech Global that stopped him mid-scroll. He did not describe them as funny, exactly. What struck him was their capacity to capture what he called the "glorious absurdity" of where banking is heading. That phrase — glorious absurdity — deserves to sit at the centre of any serious conversation about the financial sector in 2026, because it reflects something that quarterly earnings calls and regulatory roadmaps consistently fail to acknowledge: the industry is simultaneously more technologically sophisticated and more institutionally confused than at any prior moment in its modern history.

The Plumbing Paradox

The central metaphor Skinner reaches for is infrastructure. Banks, in his framing, are plumbing — essential, ubiquitous, and definitionally invisible until something goes wrong. It is a metaphor with considerable analytical weight. Water infrastructure commands no admiration when it functions; it commands fury, litigation, and front-page coverage when it fails. The same logic applies to payments rails, clearing systems, custody chains, and the entire connective tissue of global finance. Society has outsourced its memory of how the system works to the system itself, which is precisely what makes the current moment of technological disruption so structurally dangerous.

The artificial intelligence transformation now sweeping through retail banking, wholesale lending, fraud detection, and compliance functions is not merely a productivity story. It is a question of who — or what — holds the pipe wrench when pressure builds. Banks are embedding large language models into customer service operations, deploying machine-learning algorithms to make credit decisions at scale, and automating back-office processes that once required armies of analysts. The efficiency gains are real. The concentration of systemic risk is equally real, and proportionally less discussed.

Human Judgment in Retreat

What Skinner's framing illuminates, almost by accident, is the quiet retreat of human judgment from the critical nodes of financial decision-making. This is not a technophobic argument. Automation has demonstrably reduced error rates in certain categories of transaction processing, and algorithmic credit scoring has extended access to financial services in markets where human underwriters were too expensive to deploy at scale. These are genuine achievements. But the architecture of accountability — the question of who answers when the pipe leaks — has not kept pace with the architecture of automation.

Regulators across major jurisdictions are grappling with precisely this gap. The European Banking Authority and the European Central Bank have both signalled heightened scrutiny of artificial intelligence deployments in systemically important institutions, concerned less with the technology itself than with the governance frameworks — or absence thereof — surrounding it. The Bank for International Settlements has published working papers examining the procyclical risks of AI-driven lending, wherein algorithms trained on benign economic conditions may withdraw credit precisely when economies most need it. These are not theoretical concerns. They are live operational risks embedded in infrastructure that most consumers will never see or think about — until it leaks.

Absurdity as Signal

The word Skinner chose — absurdity — matters more than it might initially appear. Absurdity, in the philosophical tradition from which the term derives its force, is not simply ridiculousness. It is the collision between human expectation and an indifferent, uncooperative reality. Banks present themselves as trusted stewards of economic stability. They are simultaneously racing to automate the human judgment that has historically underwritten that trust, while lacking consensus on what should replace it. The result is an industry sprinting toward a destination it has not fully defined, powered by technology it does not fully understand, overseen by governance structures designed for a world that no longer exists.

This is not, to be clear, an argument for stasis. The financial services industry needed to modernise its infrastructure, reduce its operational costs, and extend its reach. The technologies driving that transformation — artificial intelligence, cloud-native architecture, real-time payments systems — are genuinely powerful. The concern is not the direction of travel but the speed at which accountability mechanisms are being left behind in the slipstream.

What This Means for the Industry

Skinner's plumbing metaphor should function as a standing directive for financial institutions and their regulators alike. Infrastructure that works is infrastructure that is maintained, tested, and governed — not merely installed and forgotten. The great stress-test of the artificial intelligence era in banking will not be whether algorithms can outperform human analysts on a spreadsheet. It will be whether the industry has built the institutional capacity to identify, own, and repair failures when they occur in systems of rapidly increasing complexity. Banks that treat AI deployment as a cost-reduction exercise without commensurate investment in explainability, auditability, and human oversight are, in effect, laying pipe without bothering to fit the joints properly. The water will flow — until, with considerable force and at considerable inconvenience, it does not. The question the industry has yet to answer convincingly is not whether its plumbing can handle the pressure. It is who, precisely, will be holding the wrench.

Written by the editorial team — independent journalism powered by Codego Press.