The financial services industry has poured unprecedented investment into artificial intelligence, yet measurable productivity gains remain stubbornly low. As highlighted in the Projective Group Institute’s Journal of Financial Services, this disconnect reflects more than slow technology adoption. It signals a deeper structural challenge. We may be at a pivotal moment where financial institutions must re‑forge themselves to fully realise the potential of agentic AI.
Despite the rapid expansion of generative AI and large‑scale model deployment, global productivity indicators tell a cautionary story. The sector again faces a modern form of the Solow Paradox: technology is visible everywhere except in the productivity statistics. Investment in AI infrastructure has surged, yet measured output improvements remain muted. This reflects the “adoption J‑curve”, where early AI efforts increase complexity and cost before efficiencies can emerge.
For financial institutions, this means the real challenge is not the technology itself but the organisational readiness required to harness it.
A key insight from the article is that most banks remain stuck in isolated, task‑level automation. AI is used to speed up existing processes, not redesign them. This leaves much of the potential value unrealised.
However, a shift is emerging as financial institutions begin to adopt agentic AI systems that act autonomously within defined constraints to coordinate tasks, synthesise information and support or execute decisions. This moves AI from being a tool to being part of the engine of institutional operations.
Such a shift requires rethinking organisational structure, workflows and decision‑making models. In other words: transformation, not optimisation.
Drawing on Carlota Perez’s theory of technological revolutions, the analysis positions 2026 as the turning point between the “frenzy” phase of AI investment and the “synergy” phase where real economic value emerges. This transition is often delayed not by technology but by institutional inertia, outdated structures, legacy processes, and slow cultural adaptation.
In financial services, this matters because the industry is deeply information‑driven. As AI commoditises knowledge processing, value shifts toward capabilities such as curiosity, curation, and judgment, skills that reshape roles across compliance, retail banking, and investment banking.
The article identifies early signs of a broader reshuffle across the sector:
AI improves the speed and depth of risk assessment, fraud detection and regulatory monitoring. Yet most applications still reflect incremental automation rather than systemic redesign.
The engagement model is shifting from branches and apps to AI‑first interaction layers, where autonomous agents deliver hyper‑personalised support. This represents a structural change in how customer value is created and controlled.
AI is unbundling the traditional pyramid of expertise. Tasks once performed by junior analysts, such as data synthesis, modelling and document drafting are rapidly commoditised. This shift forces firms to rethink value creation, talent models and competitive differentiation.
Across all domains, agentic AI becomes less a “smarter brain” and more of a coordination engine, restructuring workflows, control points and business models.
The core message is clear: real value will not come from adding more AI tools. It will come from re‑designing institutional architecture to allow AI to operate as a foundational engine. Those that continue treating AI as a bolt‑on solution risk being left behind in a new competitive landscape shaped by agility, data integrity, and reconfigurable systems.
Winners will be the firms that embrace system-centric thinking, redesigning their operating models around new constraints and capabilities introduced by agentic AI.
We are only at the beginning of the reshuffle. The industry is laying the foundations for a new financial services paradigm, one where AI restacks how knowledge, risk and coordination are managed. While productivity statistics may remain sluggish today, the groundwork for long‑term transformation is already being laid.
For leaders, the question is no longer whether AI will reshape institutions, but whether their institution is ready to be reshaped.
For deeper insights and the full analysis, read the article in the Journal of Financial Services launching 25 March 2026. You can pre-register to receive the online edition first via the button below.
The Projective Group Institute’s Journal of Financial Services (JoFS) provides structured insights on developments in the European financial sector. Each edition brings together contributions from practitioners, academics and regulatory experts to help readers understand key changes in the industry.
This edition examines how Data and Artificial Intelligence are influencing financial services. It looks at how modern analytics and evolving regulations such as GDPR, DORA and the EU AI Act are raising expectations for data quality, governance and oversight. Through concise, thoughtful articles, the edition highlights the practical implications for decision‑making, risk management and operational resilience.
