The future of asset management: AI, investment strategies, and market priorities

The future of asset management depends on how well businesses connect differentiated products, dependable operations, and demonstrable client value. Ten priorities frame that work: AI, trusted data, personalization, distribution, private markets, tokenization, sustainability evidence, resilience, cost discipline, and institutional reporting. These are decisions about an operating model, not a prediction that every new technology or product will succeed.

For the asset management industry, technology planning should start with a specific constraint, such as slow onboarding, fragmented records, or expensive reporting. Avenga’s financial software services support the engineering and integration behind such changes. Define the expected outcome, accountable owner, and acceptable risk before committing to a platform or expanding a pilot.

Key takeaways: Asset management trends for 2027

The most useful strategy connects commercial ambition with delivery evidence. A new digital channel needs suitable products and service capacity; a new model needs reliable inputs and human accountability. Separate improvements in processing speed from improvements in decision quality, and evaluate both against the cost of running the resulting service.

• Prioritize a measurable client or operating problem before selecting technology.
• Keep investment authority, model oversight, and data access explicit.
• Design private-market products around valuation, redemption, and reporting constraints.
• Assess distribution, security, and recovery alongside features and cost.

1. How AI and technology are changing asset management

AI can support document review, research retrieval, reconciliation, and service workflows, but it does not establish that a recommendation is accurate or appropriate. ESMA’s 2025 fund analysis found that funds formally promoting AI in their investment processes remained a small part of the sector. It distinguished operational adoption from portfolios’ exposure to AI-related companies.

Choose a bounded workflow and test errors, corrections, and the time required for review. An agent that drafts an instruction should not automatically gain permission to execute a transaction. Avenga’s AI services can support implementation, while the business retains approval boundaries, access controls, and responsibility for the resulting decisions.

2. Trusted data turns information into usable insight

Reliable analysis begins with consistent instrument identifiers, client records, valuations, and reporting definitions. A dashboard cannot resolve conflicting source records by itself. Establish who owns each dataset, how corrections propagate, and which version supports a published figure, so teams can explain a result rather than merely reproduce a screen.

Avenga’s data services address the architecture and integration needed to connect these records. Start with the information required by one decision or report, then expand only when quality checks and ownership are repeatable. Scaling a fragmented process without fixing its definitions can increase complexity and make exceptions harder to trace.

3. Personalization requires portfolio and advisory discipline

Personalization means adapting a service to documented goals, constraints, and preferences, not simply generating more product recommendations. A useful design connects onboarding information, suitability processes, communication preferences, and review dates. Keep the distinction between general educational content and regulated advice visible in both the interface and the supporting workflow.

A portfolio strategist, advisor, and service team may need different views of the same client relationship. Define the permitted uses of each record and make updates available to the people responsible for acting on them. More granular customization also needs a viable support model; otherwise, additional product variations can create costs and errors that outweigh their benefit.

4. How asset managers are adapting distribution strategies

Distribution planning should connect direct channels, intermediaries, and institutional relationships without losing the history of the client interaction. Prioritize consistent onboarding, clear fees, accessible product information, and reliable handoffs. A mobile interface may improve access, but it cannot compensate for an application that repeatedly asks for the same documents or hides the next action.

Measure completion, abandonment, service requests, and time to resolve exceptions before expanding a channel. These measures show whether digital access improves the experience or merely moves work onto the client. Align product eligibility, local requirements, and support capacity with each new audience rather than assuming that one interface fits every region.

5. How private markets and private credit are shaping asset management

Private credit and other alternative investment strategies require careful treatment of cash flows, valuation uncertainty, and redemption terms. Broader access does not remove the constraints of the underlying assets. IOSCO’s revised liquidity recommendations, published in May 2025, address collective scheme design, management tools, stress testing, governance, and disclosure.

For a product team, the practical question is whether the promised access and redemption arrangements match what the assets can support. Test stressed withdrawals, delayed valuations, and funding obligations, and explain the limitations clearly. Institutional and retail channels may require different processes, but neither should rely on an assumption that a new wrapper creates liquidity.

6. The role of tokenization and blockchain

Tokenization can represent ownership or fund units on a distributed ledger, changing recordkeeping and parts of the dealing process. The FCA’s April 2027 policy added guidance for tokenized authorized funds and introduced an optional direct-to-fund dealing model. These are specific UK developments, not evidence of universal adoption or a global permission to issue any product.

Evaluate the legal rights represented, custody arrangements, settlement asset, reconciliation, and recovery procedures before choosing a network. A digital token does not make an illiquid holding easy to sell or eliminate operational dependencies. Compare the complete service with the existing process, including integration and support costs, rather than treating a blockchain record as a benefit on its own.

7. How asset managers incorporate ESG into investment decisions

Sustainability claims need a documented connection to holdings, methodology, and the product’s stated objectives. ESMA’s fund-naming assessment, published in December 2025, examined how managers responded to its guidelines through name and policy changes. A label alone does not explain the criteria used or demonstrate an outcome for people and society.

Keep the original data, exclusions, estimation methods, and limitations available for review. Where a rating changes, record how that affects the product and its communications. Treat ESG information as a controlled part of the decision process, not a separate marketing dataset that can drift away from the records used by analysts and reporting teams.

8. Cybersecurity and evolving regulation require resilience

Operational resilience needs tested recovery, reliable incident handling, and visibility into external dependencies. The EU’s DORA framework has applied since January 17, 2025, strengthening ICT risk requirements for financial entities in scope. Applicability depends on the entity and activity; a technology supplier’s assurance statement does not establish a client’s compliance.

Avenga’s cybersecurity services can support assessment and protection work. Inventory critical services, test restoration, and maintain evidence of access reviews and incident exercises. Map changing regulatory requirements to owners and controls, distinguishing binding obligations from guidance, proposals, and a directive that may require national implementation.

9. Cost pressure, outsourcing, and restructuring

The active-versus-passive debate is also a question of cost, exposure, and the service delivered. Active selection seeks to outperform a chosen benchmark, while index tracking follows defined rules; neither label guarantees an outcome. Compare fees, tracking characteristics, risks, and the client’s objective instead of assuming that one approach is always superior.

Outsourcing, M&A, or platform consolidation can change the cost base, but transition work needs its own business case. Preserve access to records, define service levels, and test exits before retiring in-house capabilities. A restructuring that removes duplicate applications while leaving incompatible data and responsibilities unresolved may transfer the burden rather than reduce it.

10. Institutional oversight and long-term value

Institutional clients need reporting that connects holdings with liabilities, cash requirements, and the terms of their mandate. A pension scheme, insurer, and endowment do not have interchangeable objectives. Define the reporting scope and review timetable with the client, including how the service handles missing information, revised valuations, and a material change in assumptions.

The workforce also needs practical training and subject matter expertise to challenge automated outputs. An audit trail should show the information used, the action approved, and the person accountable. Valuable insights depend on that discipline: more frequent reporting is useful only when recipients can understand its limitations and take a relevant action.

A useful AI workflow in financial services must make its evidence and limits visible. Teams need to know which information was used, when a person must approve an action, and how to recover when the system gets something wrong. Those controls belong in the design from the start.

Olena Domanska, AI Engineering Manager at Avenga

Conclusion: How asset managers can improve value for investors

Future asset management priorities need a delivery plan that connects commercial choices with evidence, accountability, and recoverable operations. Begin with one problem, establish a baseline, and retain the controls needed to operate the result. To discuss the software, data, and AI work behind that plan, Contact Avenga and define a practical next step.

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Oleksandr Kryvenets

Business Consultant