Key Takeaways
- 83% of consumers now prioritize financial resilience over long term returns. This is a structural shift, not a temporary reaction to volatility.
- Executives are de-risking, not retreating. 73% have delayed or canceled M&A activity, and 96% are watching liquidity thresholds more closely than in prior years.
- Agentic AI has moved from pilot programs into core execution. But a real trust gap remains. Only 53% of consumers trust AI-powered tools during market volatility, and 87% still want human guidance.
- Legacy infrastructure is the hidden constraint. Firms that have not modernized their systems cannot support either the resilience mandate or AI-native operations at scale.
Financial institutions spent years optimizing for returns. That priority has quietly flipped. As 2026 reaches its midpoint, boardrooms, M&A calendars, and technology budgets across the industry are all telling the same story.
Financial services industry trends in 2026 point to a structural shift toward resilience, tighter liquidity discipline, and infrastructure built to withstand shocks rather than chase yield. At the same time, agentic AI is moving from pilot programs into core execution, and tokenization is edging toward mainstream adoption.
This article breaks down what is happening at the midpoint of the year, and what it means for how financial leaders should be sequencing their next moves.
What Does Financial Resilience Mean in 2026?
Financial resilience refers to an institution’s capacity to absorb shocks, protect liquidity, and maintain operational continuity without depending on high-return bets to stay stable. In 2026, it has replaced growth-at-any-cost as the primary planning lens for financial executives.
4 Trends Reshaping Financial Services
Resilience is occurring because of the following converging shifts: how institutions think about risk, how AI is deployed, what infrastructure can support, and how new financial instruments are reaching the market. Here is what is actually moving, and why it matters for how you plan the rest of the year.
1. The Shift From Returns to Financial Resilience in 2026
For years, financial institutions optimized for returns first and resilience second. PwC’s 2026 Market Volatility Survey shows that priorities have moved:
- 83% of consumers now say building financial resilience matters more than chasing long-term returns.
- 73% of financial executives have delayed or canceled M&A activity this year.
- 96% of institutions are watching liquidity thresholds more closely than they did two years ago.
This is not caution for its own sake. It is a recalibration around what stability requires in a volatile rate and inflation environment.
None of this signals paralysis. It signals discipline. Security spending is climbing in parallel, as institutions respond to growing digital risk and tighter regulatory scrutiny. The firms treating resilience as infrastructure, not sentiment, are setting the pace.
De-risking on paper means little if the team executing your controls is stretched thin, understaffed, or turning over faster than you can backfill. Resilience is only as strong as the operational capacity behind it.
2. Agentic AI Moves From Support Layer to Core Engine
Agentic AI in financial services has stopped being a back-office assistant. It now functions as an execution layer. It is already operating in:
- Pricing, trading, and settlement processes that once required constant human oversight.
- Wealth management, where automation makes personalized service viable for mass-affluent households.
- Institutional banking, where up to 25% of top US bank revenue could be AI-native by 2030.
Here is the part most coverage skips:
- 91% of executives see AI as critical to strategy.
- 53% of consumers trust AI-powered tools during market volatility.
- 87% of consumers still want a human involved.
- 93% of FS executives prefer to still rely on human expertise.
That gap between executive confidence and consumer trust is the real story of 2026, not the technology itself.
This is exactly where embedded operational teams earn their place. AI can execute a trade in milliseconds. It cannot yet reassure a nervous client during a volatile quarter or catch a contextual error the way a trained analyst does. Institutions pairing agentic AI with embedded finance teams close that trust gap without slowing adoption.
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3. Infrastructure Modernization Is the Prerequisite, Not a Side Project
None of the above works on legacy rails. Firms are replacing outdated systems with:
- Resilient data architectures built for real-time, always-on customer expectations.
- Hybrid cloud environments that deliver scalability and speed.
- Compliance-ready platforms that keep pace with regulatory demands.
Cloud adoption has become a top priority. It is the only practical way to deliver the scalability, speed, and compliance flexibility that regulators and customers now expect as standard.
This is the connective tissue between every trend in this article. A firm cannot de-risk its balance sheet while running on infrastructure it does not fully control.
Modern infrastructure does not run itself. Someone has to operate it, monitor it, and keep it compliant day to day, and that operational layer is where a lot of modernization budgets quietly stall.
4. Tokenization and Market Access, Briefly
Tokenization is approaching a turning point in 2026. What is changing:
- Real-world assets, including real estate, art, commodities, and equities, are increasingly represented as digital tokens on distributed ledgers.
- Public companies and mutual funds are beginning to issue tokenized assets natively, not experimentally.
- Stablecoin-enabled payments are gaining ground as a lower-cost alternative for small and mid-sized business transactions.
- Registered fund vehicles are opening private equity and private credit exposure to retail portfolios for the first time.
Regulators are shifting too, moving from a pure gatekeeper role toward active guidance as markets move toward round-the-clock access.
These shifts matter, but they support the resilience and infrastructure story above. The institutions best positioned to capture tokenization’s upside are the ones already investing in modern, resilient operating foundations.
What Happens When Firms Skip the Resilience Foundation
Organizations that pursue AI-native transformation before strengthening their operations often create new problems. Automation on top of fragile systems adds failure points, while autonomous decision-making increases compliance risks when processes are not fully mapped.
And modernization budgets stall out when leadership cannot demonstrate ROI, because the underlying operational discipline needed to measure that ROI was never built in the first place.
Resilience is not the cautious choice. It is the sequencing decision that determines whether every other 2026 trend pays off.
Returns-First vs. Resilience-First Operating Posture
| Dimension | Returns-First Posture | Resilience-First Posture |
| Primary Goal | Maximize short-term yield | Protect liquidity and continuity |
| Risk Tolerance | High, opportunistic | Deliberate, closely monitored |
| AI Deployment Style | Fast rollout, limited oversight | Paired with embedded human review |
| Infrastructure Posture | Legacy systems tolerated | Modernization treated as prerequisite |
| M&A Activity | Aggressive pursuit | Selective, frequently delayed |
Why Partner with Connext
Executing a resilience-first strategy takes more than a new technology stack. It takes operational capacity that can flex with the strategy without adding fixed headcount risk.
Connext’s co-management model embeds finance and accounting professionals directly into your existing team structure, so the people running eligibility checks, reconciliations, and reporting cycles are working inside your systems and your controls, not in a disconnected offshore silo.
That structure gives finance and operations leaders a cost-efficient way to scale execution capacity, while keeping compliance and oversight fully intact. Our teams are built to stay embedded long-term, giving your organization operational continuity instead of the churn that undermines resilience planning in the first place.
Ready to build a resilience-first finance operation? Explore our Financial Services to see how co-management works in practice.
Frequently Asked Questions
Traditional automation follows fixed rules for repetitive tasks. Agentic AI makes autonomous decisions in real time, adjusting pricing, trade execution, or settlement steps based on live conditions rather than a predefined script.
Enterprise firms typically have more capital buffer to absorb short-term return sacrifices. Mid-market firms feel the resilience mandate more acutely, since a single liquidity shock has a proportionally larger impact on their operations.
Embedded offshore teams operate inside the client’s existing systems and access controls rather than introducing separate platforms, which keeps oversight and audit trails centralized with the client.
At minimum, a finance outsourcing partner should maintain SOC 2 Type II and HIPAA compliance where applicable, with clear documentation available for audit review.
Tokenization’s direct impact is currently concentrated among institutional issuers and asset managers, but mid-market firms are affected indirectly through stablecoin-based payment rails and evolving investor access rules.
Infrastructure modernization should come first. Deploying agentic AI on top of legacy systems tends to compound existing operational risk rather than resolve it.
