Executive Summary

The UK Financial Conduct Authority (FCA) has published its first *Emerging Technology Horizon Scan*, a forward-looking assessment of how technological convergence may reshape financial services over the coming years. The document is not regulatory guidance but serves as a strategic signal to firms, investors, and governance professionals about the opportunities and risks the regulator is monitoring.

Three interconnected trends stand out: the rise of personalised AI and delegated decision-making, the industrialisation of AI-enabled financial crime, and the gradual absorption of programmable finance into mainstream infrastructure. These trends carry significant implications for corporate finance, accounting, auditing, and corporate governance, demanding that financial leaders prepare for a more automated, more fragile, and more programmable financial ecosystem.

Introduction

The FCA's first Emerging Technology Horizon Scan arrives at a time when financial institutions are navigating rapid advancements in artificial intelligence, distributed ledger technology, digital identity, and real-time data sharing. The publication intentionally avoids prescriptive rules, instead offering a structured look at plausible scenarios that could affect consumers, firms, and market integrity.

For CFOs, accountants, and auditors, the Horizon Scan is a reminder that technology-driven change is not merely an operational matter; it is a governance and financial reporting issue. The themes explored by the FCA will influence how firms manage risk, allocate capital, and disclose material exposures to emerging technologies.

Financial Context

The FCA's analysis is built around a central concept: technological convergence. Rather than examining AI or blockchain in isolation, the scan considers how several technologies—AI, digital identity, smart contracts, tokenisation, biometrics, and data-sharing frameworks—could interact to create fundamentally new market structures.

The regulator points to a future in which financial services are increasingly embedded in software, where autonomous agents act on behalf of consumers, and where synthetic fraud becomes harder to detect. These developments are not hypothetical; they are emerging from current trends in fintech investment, enterprise automation, and regulatory experimentation.

This context matters for financial reporting. As business models evolve, traditional accounting frameworks may struggle to capture the value of AI-driven assets, the liabilities of algorithmic decision-making, and the risks of decentralised financial networks.

Main Analysis

Trend 1: Personalised Intelligence and the Rise of Delegated Decision-Making

The first scenario considers a future in which AI agents become the primary interface between consumers and financial services. Rather than logging into a bank or using a robo-advisor, consumers may rely on personalised AI systems to compare products, negotiate prices, reallocate investments, and execute transactions on their behalf.

The FCA envisions a progression from assisted decision-making to fully autonomous "do-it-for-me" models, where routine financial activities occur with minimal consumer involvement. This could improve financial inclusion and reduce the complexity of navigating modern financial markets.

However, the report warns of a potential "proxy economy" where firms compete not for consumer attention but for the recommendations of AI agents. This creates new forms of bias and potential mis-selling. For finance teams, this raises governance questions: How do you ensure suitability when a machine is making the decision? How do you audit a recommendation that was generated by an algorithm?

Trend 2: Synthetic Insecurity and the Industrialisation of Financial Crime

The second trend focuses on the next evolution of financial crime. The FCA moves beyond simple deepfakes to consider AI-enabled "credibility engineering"—the creation of synthetic identities, fabricated narratives, and evidence trails that are nearly impossible to distinguish from legitimate activity.

AI reduces the cost and expertise required to conduct large-scale fraud. The report highlights the emergence of autonomous criminal organisations and "crime-as-a-service" models, where AI agents automate phishing, vulnerability discovery, and social engineering.

For financial institutions, the implications are profound. Traditional verification methods may become obsolete. Auditors and risk managers will need to invest in AI-driven detection systems while also questioning whether existing internal controls are adequate in an environment where the entire concept of evidence is under threat.

Trend 3: Programmable Finance and the Mainstreaming of Distributed Ledger Technology

The third trend examines how tokenisation, stablecoins, central bank digital currencies (CBDCs), and smart contracts could become embedded in traditional finance. The FCA describes this as "TradFi with protocol capabilities," where financial functions that previously relied on intermediaries are automated and programmable.

In this model, settlement takes place in real time, compliance is embedded in transaction logic, and assets are self-executing. Examples include automatically refinancing mortgages, self-executing insurance contracts, and payment systems triggered by verified external events.

The FCA emphasises interoperability as a key challenge. As financial infrastructure becomes more modular, the ability to connect different systems—both domestic and cross-border—will be critical. This has direct implications for treasury management, financial reporting, and capital allocation.

Business & Market Impact

The Horizon Scan is not a rulebook, but it offers a clear view of where regulatory attention is heading. For CFOs and finance executives, the findings suggest several practical responses:

AI Governance: Companies that deploy AI in financial decision-making need robust governance frameworks that ensure transparency, accountability, and consumer protection. This will require involvement from the finance function, not just IT.
Fraud and Financial Crime: As AI-enabled fraud becomes more sophisticated, internal audit functions must evolve. Traditional control testing may need to be supplemented with continuous monitoring and adversarial testing.
Investment in Financial Infrastructure: Firms exposed to payments, digital assets, or tokenisation should track regulatory developments closely. The FCA's interest in programmable finance signals potential future rulemaking around interoperability, data standards, and settlement finality.
Financial Reporting: New forms of digital assets and AI-generated revenue streams may challenge existing accounting standards. Finance teams should begin assessing how to measure and disclose these activities.

Capital markets may also be affected. If autonomous agents begin executing trades or coordinating strategies, market integrity could be threatened. Regulators may require new types of surveillance and disclosure to detect collusive behaviour among algorithms.

Governance Insights

The FCA's Horizon Scan reinforces the growing importance of corporate governance in technology adoption. Boards need to understand how AI and other emerging technologies are being used throughout the organisation. This is not just an IT issue; it is a board-level risk oversight issue.

Financial transparency will become increasingly complex. If an AI agent makes a decision that results in a loss, who is accountable? How do firms disclose their reliance on algorithms in the management discussion and analysis (MD&A)? The FCA suggests that future regulatory frameworks may require "meaningful consumer consent" and clear explanations in automated environments.

Compliance and audit committees should consider the following:

Are existing risk frameworks equipped to handle AI-driven operational risks?
Do internal controls extend to third-party AI systems and data providers?
Are there mechanisms to detect bias or conflicts in algorithmic decision-making?
How does the firm monitor for AI-enabled financial crime, including synthetic identity fraud?

Future Outlook

Over the next 3 to 10 years, the financial sector is likely to see a gradual but significant transformation. The FCA's Horizon Scan suggests that regulation will evolve from prescriptive rulemaking toward a more principles-based, technology-aware approach. We may see:

Updated Regulatory Guidance: The FCA and other regulators will likely issue new policies on AI governance, data sharing, and digital asset custody.
Enhanced Disclosure Requirements: Listed companies may be required to disclose their exposure to AI and technology risks, potentially affecting financial reporting standards.
Cross-Border Coordination: As digital finance becomes more global, regulators will need to coordinate on interoperability and anti-money laundering (AML) standards.
New Assurance Models: Auditors will need to develop methods for verifying the integrity of AI systems and blockchain-based transactions.

The role of the CFO will expand beyond traditional finance. CFPs will increasingly act as stewards of data, technology, and trust. Companies that invest now in robust governance, AI literacy, and adaptive risk management will be better positioned to navigate this evolving landscape.

Key Takeaways

1. Technological convergence is the central theme. AI, digital identity, and distributed ledger technology will combine to create new financial ecosystems.
2. AI agents introduce new governance challenges. Firms must address consumer agency, algorithmic conflicts, and suitability in automated environments.
3. Synthetic fraud is a growing risk. Traditional verification and internal controls may become insufficient, requiring AI-driven defence mechanisms.
4. Programmable finance is becoming mainstream. Expect further integration of tokenisation and smart contracts into traditional infrastructure.
5. Regulatory strategy is shifting. The FCA's scan signals future rulemaking focused on transparency, interoperability, and operational resilience.
6. Finance executives must prepare now. Proactive governance and technology investment will be essential for long-term financial sustainability.

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Sources

Dentons. "FCA's Emerging Technology Horizon Scan 2026: Three trends firms should be watching." June 29, 2026. Link