£100 million. That’s the projected value Lloyds Banking Group anticipates adding to its bottom line in 2026 solely through the deployment of “agentic AI” – systems moving beyond simple assistance to semi-autonomous transactional authority. This isn’t a futuristic prediction; it’s happening now, and it signals a fundamental shift in how financial institutions operate, driven by a confluence of economic pressures and technological advancements. Follow the money, and you’ll see this isn’t just about cost-cutting; it’s about adapting to a world where traditional lending is constrained and competition for capital is intensifying.
The global economy is facing familiar headwinds in the first quarter of 2026, with the United Nations projecting growth of just 2.7% – remaining below pre-pandemic levels. This sluggish growth, coupled with geopolitical tensions highlighted in the World Economic Forum’s Global Risks Report 2026, is creating an “age of competition” and fragmented capital flows. Banks, therefore, are aggressively pursuing AI not as a luxury, but as a necessity to maintain profitability and market share. Goldman Sachs, for example, is leveraging Anthropic’s Claude model to automate core trade accounting and client onboarding, effectively creating “digital co-workers” to handle process-intensive tasks. The move isn’t about replacing employees wholesale, but about reallocating human capital to more complex, nuanced client interactions – a strategic advantage in a competitive landscape.
This internal pressure to optimize coincides with a broader external shift: a $41 trillion expansion of private credit. As traditional bank lending tightens due to stricter capital standards, corporations are increasingly turning to private credit markets for funding. The secondary market for private deal stakes surged to a record $226 billion in volume, according to Evercore’s 2025/2026 data, driven by limited partners seeking liquidity in a stalled IPO market. This isn’t simply a reallocation of capital; it represents a fundamental restructuring of the financial ecosystem. Banks are responding by engaging in “significant risk transfers” (SRTs), paying private funds to take on loan book risk – a practice now under scrutiny by the Basel Committee due to concerns about systemic resilience. The Committee rightly points out that over-reliance on SRTs could weaken the banking system if those risk-bearing transactions fail.
The interplay between AI and private credit reveals a critical tension. While AI promises to streamline operations and reduce costs for banks, the growth of private credit is, in part, a response to the constraints imposed on traditional banking by regulatory capital requirements. This creates a feedback loop: tighter regulations drive demand for alternative funding sources, which in turn necessitates greater efficiency through automation. This dynamic is further complicated by market volatility, which has led to trimmed or delayed US IPOs, including those of Clear Street and Agibank, reinforcing the appeal of private markets. Even within the public equity space, fears of AI disruption have triggered a pullback in US software stocks, though strategists at JP Morgan and Morgan Stanley are identifying buying opportunities in resilient, high-quality companies.
Reporting from weforum.org informs this analysis.
Beyond developed markets, the story takes another turn in Africa, where stablecoins are gaining traction as a hedge against currency depreciation. Firms in Nigeria and South Africa are increasingly using digital dollars for cross-border trade and as a more stable unit of account amidst persistent dollar shortages. This highlights a growing demand for alternative financial infrastructure in regions facing economic instability, and underscores the potential for stablecoins to promote financial inclusion. The World Economic Forum is actively exploring interoperability and collaboration with existing systems to unlock the full potential of these digital currencies.
What this means for your wallet: expect to see faster, more efficient financial services, but also increased scrutiny of risk transfer practices. The rise of agentic AI will likely translate to lower fees for routine transactions, but also potentially fewer opportunities for personalized service. More importantly, monitor the regulatory response to the growth of private credit – a potential systemic risk that could impact borrowing costs and access to capital for businesses and consumers alike. The key question now is whether regulators can effectively balance innovation with stability in this rapidly evolving financial landscape, and whether the benefits of AI and private credit will be broadly shared or concentrated among a select few.
