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Key boundaries that have defined financial services in the United States—how institutions deliver products and services and which customers can access them—are being redrawn.

On one side, costs are falling, regulatory frameworks are shifting, and new delivery models are reducing marketplace friction. Experimental technologies introduced just a few years ago are beginning to alter the industry’s cost structure and service reach.

At the same time, it appears as though the industry’s operational infrastructure is being rebuilt. Legacy systems and manual processes are giving way to technology upgrades, and core banking operations are being reimagined, often with artificial intelligence as the execution engine. Stablecoins are accelerating the shift to lower-cost payment rails, and blockchain is automating complex fund workflows.

These shifts are reinforcing each other: Infrastructure breakthroughs make expanded consumer access more economically viable, while rising demand justifies the investment in transformation. Together, they point to some of the most significant operational shifts for financial services in decades.

The 2026 FSI Predictions series explores both dimensions. Five articles describe consumer-facing transformation, from expanded access to reimagined experiences. Three other articles explore the operational foundation now being reconstructed.

Consumer-facing transformation: Access and experience

From AI-powered wealth management services to private capital entering retail portfolios, these shifts are expanding access to sophisticated services while transforming the client experience. Each shift is underpinned by technological advancements that make products and services more economically viable at scale.

The agentic AI productivity wave is heading for wealth management. Agentic AI could unlock a fundamental transformation in wealth management. By automating operational work, the technology may improve advice quality, elevate both adviser and client experiences, and make personalized service economically viable for mass-affluent households. Deloitte projects 30% to 100% productivity gains by 2032, potentially freeing up 25% to 50% of adviser time that is currently spent on operational tasks. These trends could expand industry capacity by the equivalent of US$10 trillion to US$35 trillion in additional client assets.

Agentic AI could help US life insurers reach new customers and narrow the coverage gap. Agentic AI may significantly reshape life insurance distribution by reducing friction across the buying journey and helping more consumers move from awareness to purchase. Deloitte predicts that by 2030, AI-enabled distribution could increase US individual life insurance premiums by roughly 11%, adding approximately US$2 billion in annual incremental premiums and expanding the market to US$21.2 billion.

Meaningful private capital exposure to reach one in six US retail investor funds by 2030. Assets like private equity and private credit were traditionally reserved for institutional investors. Minimum investments and illiquid structures kept private capital exclusive, but registered fund vehicles like interval funds, tender offer funds, exchange-traded funds, and mutual funds are making it accessible through familiar investment structures. Deloitte predicts that by 2030, just under 16% of registered funds may carry meaningful private capital exposure, effectively reaching one in six retail investor funds as structural barriers fall across demand, regulation, and distribution.

Private capital: Tailwinds for growth in US defined contribution plans. Private capital is positioned to become a significant component of 401(k) portfolios, expanding access to millions of people. Under a baseline adoption scenario, allocations could reach approximately 6% of plan assets, topping US$1 trillion by 2030. Adoption is expected to be gradual, with limited early activity before more meaningful scaling begins around 2027.

Housing market shifts could reshape rental operating models for commercial real estate owners. Leasing as a Service (LaaS) models may reposition rental housing as an integrated service experience. Instead of focusing solely on lease terms for single-cycle occupancy, LaaS emphasizes flexibility, mobility, and access offered through a subscription service. The Deloitte Center for Financial Services predicts that the number of US households that rent could increase by as much as 21.7% by 2035 to 56.3 million from today’s 46.2 million, with the rental share reaching as high as 39.3% of all households. As the number of renter households in the United States grows, this LaaS model could unlock new revenue streams and improve tenant retention for property owners.

Rebuilding the operational foundation

Legacy systems, manual processes, and high transaction costs have long constrained what financial institutions can build and how efficiently they can deliver it. The following three prediction articles show how AI is being embedded as the core execution engine in banking products, how stablecoins are creating alternative payment rails with dramatically lower costs, and how blockchain is automating complex fund operations.

How AI-native banking products could reshape institutional banking. AI-native products—in which AI operates as the core execution engine rather than as a supporting layer—could fundamentally redefine institutional banking by embedding autonomous decision-making into treasury, payments, and securities workflows. By 2030, these products could account for up to 25% of institutional banking revenues among the top 50 US banks, representing between US$66 billion and US$75 billion in incremental revenue.

How stablecoins could power the next era of retail payments. Stablecoin rails offer a compelling alternative to traditional payment methods. For small- and mid-sized businesses, processing fees often exceed 2% per transaction, representing a significant operating expense that stablecoins could help reduce. Deloitte forecasts that stablecoin-enabled retail payments in the United States could surpass US$200 billion by 2030, accounting for an estimated 2.6% of noncash transactions through back-end settlement, processing, or funding mechanisms.

Crypto and smart contracts unlock efficiencies across the commercial real estate fund life cycle. Cryptocurrencies and smart contracts could significantly transform commercial real estate fund operations by automating fund flows, reducing transaction costs, and enabling near real-time settlement across key processes such as capital calls, subscriptions, redemptions, and distributions. Deloitte predicts that by 2030, most fund managers will use blockchain-enabled digital assets in at least one part of the fund-flow process, with the highest-value applications in investor transactions, capital contributions and distributions, and property operations.

By

Lananh Nguyen

United States

ACKNOWLEDGMENTS

We wish to thank our executive sponsors, Puneet Kakar, Paul Kraft, Rajiv Shah, and Sally Ann Flood, for their support.

We would also like to extend our appreciation to the following Deloitte professionals for their leadership and insight in developing the research and analysis: Amanda Nelson, Bill Jarmuz, Brian Ruben, Corey Arnouts, Doug Dannemiller, Eric Fox, Gaurashi Sawant, James Delbridge, Jeff Levi, Jill Gregorie, Jody Hill, Mohak Bhuta, Neerav Shah, Parul Bhargava, Reetika Fleming, Rob Massey, Samia Hazuria, Scott Parker, Shivalik Srivastav, Sumant Maharaj, Tim Coy, Tim Davis, and Val Srinivas.

Special thanks to Patricia Danielecki for her leadership of the program, and to Samia Hazuria and Anuja Mhatre for helping with project management. Additionally, this report could not have been written and published without the collaborative effort of the Deloitte Insights team: Blythe Hurley, Elisabeth Sullivan, Hannah Bachman, John Labate, Karen Edelman, Cintia Cheong, Sofia Laviano, Molly Piersol, and Stacy Wagner-Kinnear. Also, thank you to Paul Kaiser, Christian Slike, and Alice Hartnett for their excellent marketing and publication support.

Editorial: John Labate, Hannah Bachman, Karen Edelman, Cintia Cheong, Stacy Wagner-Kinnear, and Anu Augustine

Design: Sofia Laviano, Sylvia Chang, and Guido Agüero Gonzalez

Audience development: Maria Martin Cirujano and Kelly Cherry

Cover artist: Sofia Laviano

Knowledge services: Vanapalli Viswa Teja    

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