The image of XR in financial services that tends to get shared on LinkedIn — a trader in a headset surrounded by floating holographic charts — looks spectacular and means almost nothing. The actual use cases that are gaining traction in banks, asset managers, and insurers in 2026 are considerably less cinematic but considerably more useful.
Spatial computing is finding a foothold in financial services not because the industry is chasing technology trends, but because it addresses a genuine cognitive problem: finance involves processing enormous amounts of data, much of it with spatial and temporal relationships that are genuinely hard to represent on a flat screen. XR offers a different interface for that problem — more surface area, more dimensionality, more context at once.
Risk Visualization for Traders and Risk Managers
Trading desks and risk management teams have spent decades surrounding themselves with more screens. A single-screen setup gives way to four screens, then six, then wall-mounted display arrays. What they’re trying to do is see more at once — correlated positions, market data, risk metrics, news feeds, order books.
Spatial computing offers a different approach: instead of adding physical screens, extend the workspace into three-dimensional space. A VR or mixed reality workstation can display the equivalent of a large multi-screen array in a smaller physical footprint, with the added ability to organise displays spatially by relationship rather than just by position.
A risk manager monitoring a derivatives book, for example, can arrange exposure heatmaps by underlying asset in one spatial cluster, P&L attribution in another, and live market feeds in a third — oriented to match their mental model of how the data relates. Moving between them is a head turn, not a mouse click through nested menus.
Barclays, Fidelity International, and several unnamed tier-one investment banks have publicly acknowledged pilots of spatial workstations for trading and risk functions. Fidelity has been particularly open about its work through Fidelity Center for Applied Technology (FCAT), including VR-based portfolio visualisation that lets portfolio managers “walk through” allocation data spatially.
Client Presentations and Wealth Management
Private banking and wealth management has a client engagement problem that XR addresses differently. High-net-worth clients receive portfolio reviews through slide decks and PDF reports — formats that are adequate but not memorable or particularly engaging for complex financial data.
Spatial presentations change this. A wealth manager can walk a client through a portfolio in an immersive environment: a three-dimensional visualization of asset allocation, sector exposure, and return attribution that the client can examine from multiple angles and interact with to drill down into specific holdings. The same technology that makes financial data easier to understand analytically also makes it more engaging in a client-facing context.
This use case has been taken further by some wealth platforms. Immerse UK and a handful of boutique private banks in London and Geneva have demonstrated spatial client review environments where the data visuals surround the client rather than sitting behind glass on a monitor. The practical barrier is still hardware — expecting a client to put on a headset for a financial review meeting requires careful framing — but lighter smart glasses form factors reduce this friction considerably.
Insurance: Risk Assessment and Underwriting Visualization
Insurance underwriting for complex risks — commercial property, marine, infrastructure — involves assessing exposure from data that is inherently spatial. A marine insurer underwriting a port facility is dealing with geographic risk, structural characteristics, cargo flows, and proximity of adjacent risks. A commercial property underwriter is evaluating flood zone proximity, structural type, occupancy, and comparable claims data.
Spatial computing allows underwriters to work with this data in its natural dimensionality. Digital twin overlays on geographic data — pulling in existing building information, weather risk scores, and historical claims — give underwriters a spatial view that is considerably more information-dense than a flat map or a table of figures.
Lloyd’s of London has run pilots combining building information modelling (BIM) data with AR headsets for large commercial property underwriting. The specific use case is inspections: rather than relying on photographs and surveyor reports, an underwriter or loss adjuster can review a property’s structural data in a spatial format that reveals relationships between elements that a flat document would not surface.
Financial Training and Simulation
The training application of XR in financial services is perhaps the most straightforwardly practical. Training trading desk staff, risk controllers, or client advisers involves scenarios that are hard to replicate in classroom environments — market stress events, client objections under pressure, complex structured product explanations.
VR simulation creates the pressure without the real stakes. A junior trader can experience a flash crash scenario, a risk controller can practice escalation during a market dislocation, and a private banker can rehearse handling a client conversation about significant losses — all in an environment where the cost of errors is zero and the learning from them is high.
Firms including JP Morgan, Goldman Sachs, and BNP Paribas have all acknowledged VR-based training programmes for specific functions. The content is developed either through internal teams or specialist providers like Strivr (US-focused) or Igloo Vision (UK-focused) that serve enterprise training markets across sectors.
What Slows Adoption
The barriers in financial services are not primarily technical. They’re regulatory and operational.
Data security and sovereignty are paramount concerns. Any device that captures visual data of a trading environment or client meeting faces scrutiny. Headsets with cameras raise questions about what is recorded, where that data goes, and whether vendor cloud processing of any of it creates compliance risk under GDPR or financial data regulations.
Regulated environment constraints. Recording of trading floor communications is required under MiFID II and similar regulations. How XR environments integrate with those recording obligations — whether spatial audio from a mixed-reality workspace counts as a regulated communication channel — is still being worked through by compliance teams.
Integration with existing systems. Proprietary trading and portfolio management platforms are not designed with XR outputs in mind. Displaying Bloomberg data in a spatial environment requires either building spatial-aware data feeds or extracting data through APIs and re-rendering it in XR. That’s not trivial.
The firms making progress are mostly running XR alongside existing workflows rather than replacing them — augmenting the flat screen setup rather than trying to replace it, which sidesteps the integration problem while demonstrating value.