Deloitte’s annual FSI Predictions report maps eight structural shifts across wealth management, banking, insurance and payments
The boundaries defining how financial services are delivered and who can access them are being redrawn, according to the Deloitte Center for Financial Services.
Its newly released 2026 FSI Predictions report outlines eight major structural shifts it expects to reshape the industry by the end of the decade and covers two broad themes: consumer-facing transformation that expands access to sophisticated products, and a reconstruction of the operational infrastructure underlying the industry.
Deloitte argues these forces are mutually reinforcing; as technology lowers the cost of serving clients, rising demand in turn justifies deeper investment in that same technology.
Wealth management productivity
The wealth management industry faces what Deloitte describes as a workload bind. Advisors currently spend close to 70% of their time on administrative and operational tasks, leaving roughly 30% for client relationships. Agentic AI systems, capable of executing multi-step tasks autonomously within defined parameters, could substantially reverse that ratio, the firm predicts.
Deloitte projects advisor productivity gains of 30% to 100% by 2032, potentially freeing between a quarter and half of advisor time currently consumed by lower-value work. Translated into asset management terms, that capacity expansion could be equivalent to $10 trillion to $35 trillion in additional client assets, and at a standard 1% advisory fee, between $100 billion and $350 billion in potential annual revenue.
But Deloitte identifies three variables that determine how much value any given firm captures: the willingness of individual advisors to adopt the technology, the firm's readiness to redesign processes around it, and whether the underlying technology infrastructure is capable of supporting it. The firm views the technology stack as the single biggest swing factor.
Institutional banking
In institutional banking, Deloitte distinguishes between what it calls AI-enabled products (existing offerings made incrementally better through AI) and AI-native products, where artificial intelligence functions as the core execution engine rather than a supporting layer.
The difference is significant. A treasury platform powered by autonomous agents that continuously optimizes liquidity, the report notes, is not simply a smarter dashboard but a fundamentally new product category.
Deloitte forecasts that AI-native products could account for as much as 25% of institutional banking revenues among the top 50 US banks by 2030, equating to roughly $66 billion in the base case and more than $75 billion in an upside scenario. Treasury and cash management are identified as the most immediately viable areas, given the high volume of data, the frequency of decisions and the measurability of outcomes.
But legacy technology architectures were not designed for real-time decisioning or continuous data flows.
Trust and governance present a separate challenge and clients would need to grant AI systems the authority to monitor accounts and, in some cases, execute financial actions autonomously. Pricing these products presents yet another hurdle, with Deloitte suggesting that as AI capabilities commoditize, durable pricing power will depend on banks demonstrating sustained, attributable economic value.
Stablecoins
Deloitte forecasts that stablecoin-enabled retail payments in the United States will surpass $200 billion by 2030, representing roughly 2.6% of noncash transactions.
The passage of last year's GENIUS Act, which established a federal regulatory framework for stablecoin issuance and custody, has given retailers a clearer foundation for evaluating whether the new payment rails can meaningfully reduce the processing fees that currently eat into margins — often exceeding 2% per transaction for small and mid-sized businesses.
The firm identifies three catalysts for mainstream adoption: stablecoin-linked debit and credit cards from major card networks, AI-assisted shopping agents that would naturally gravitate toward programmable payment methods, and branded merchant loyalty programs tied to proprietary digital currencies. Broad consumer adoption is not expected to arrive all at once — Deloitte pegs the potential inflection point at around 2028.
Private capital in retirement plans
Two separate sections of the report address private capital's expanding reach into retail portfolios, a theme that has been building for several years as asset managers push to access the vast pools of capital sitting in defined contribution plans and registered funds.
On the retirement side, Deloitte points to a proposed Department of Labor rule issued in March 2026 that would establish a process-based safe harbor for plan fiduciaries evaluating alternative investments including private equity and private credit.
Under a baseline adoption scenario, the firm estimates private capital allocations in 401(k) and 403(b) plans could top $1 trillion by 2030, representing approximately 6% of plan assets. Meaningful uptake is not expected until 2027, with target-date funds expected to serve as the primary vehicle.
However, the forecast comes with caveats. Adoption will be concentrated in larger plans with the governance infrastructure to manage the operational complexity, and the conservative scenario (where private capital does not get embedded in default investment options) would see allocations substantially lower.
On the retail fund side, the picture is still early-stage. As of year-end 2025, only about 1.5% of US-registered funds allocated 5% or more of their portfolios to private capital.
Deloitte projects that figure reaching just under 16% by 2030, effectively meaning one in six retail investor funds would carry meaningful private capital exposure. More than three-quarters of funds currently meeting that threshold are closed-end structures such as interval funds and tender offer funds. Closed-end funds that allocate at least 5% to private capital carry a median allocation of nearly 38% of net asset value.
Life insurance and housing
About 100 million Americans are currently uninsured or underinsured, yet the conversion rate from awareness to purchase remains low. The firm attributes the gap to three barriers — a lack of awareness about the need, a knowledge deficit about what to buy, and procrastination — and argues that agentic AI is well suited to address all three, particularly for younger adults, lower-income households and minority communities where the coverage gap is most pronounced.
By 2030, Deloitte predicts that AI-enabled distribution could add $2 billion in annual incremental life insurance premiums, pushing the total market to $21.2 billion from the $19.1 billion expected without AI intervention.
The report's housing section forecasts a significant expansion in the U.S. rental market driven by sustained affordability pressures, rising homeownership costs and demographic shifts. The median age of first-time home buyers has reached 40, up from the late 20s in the 1980s. Under the most aggressive scenario, renter households could grow 21.7% by 2035 to 56.3 million, lifting the rental share of all U.S. households to 39.3% from 34.3% today. Deloitte argues this creates a structural opportunity for multifamily property owners willing to reposition their portfolios around subscription-based, living-as-a-service operating models.
The full report was published by the Deloitte Center for Financial Services on May 20, 2026.
