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Home » The gradual yet permanent impact of AI on the finance sector
AI in Finance

The gradual yet permanent impact of AI on the finance sector

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The Evolving Role of the CFO: Balancing Risks and Opportunities

In the dynamic landscape of corporate finance, few roles carry as much significance as that of the Chief Financial Officer (CFO). The responsibilities of a CFO are increasingly complex, requiring a delicate balance between managing risks and seizing new opportunities.

The Dual Mandate of CFOs

Over the past several years, and with an intensified focus in the post-pandemic era, CFOs have been tasked with two critical mandates: modernizing outdated financial infrastructures while concurrently safeguarding businesses against heightened fraud and compliance risks. This dual challenge has made the CFO role more pivotal than ever.

The Role of Artificial Intelligence in Finance

Artificial Intelligence (AI) has emerged as a key player in the CFO’s toolkit. Rather than being a theoretical experiment, AI is now a practical tool employed to address pressing vulnerabilities in financial operations. Recent collaborations—such as those between Anthropic and Deloitte to develop AI Compliance Solutions—highlight the growing reliance on advanced technology in finance.

AI Implementation: Immediate vs. Strategic Applications

A notable trend is emerging across various industries: financial leaders are rapidly deploying AI for immediate and measurable outcomes, such as fraud detection and payment reconciliation. However, there is a more cautious approach toward applying AI to broader financial activities like forecasting and capital allocation. This dichotomy results in a transformation that is both accelerated and constrained, with targeted deployments taking precedence over comprehensive system overhauls.

Understanding Risk Through Data

As detailed in the latest PYMNTS Intelligence report, the expectation is clear: a vast majority of product managers anticipate AI will enhance fraud detection, regulatory compliance, and data security. Financial managers must utilize data and AI strategies to make finance more efficient and strategically sound.

Challenges of AI Adoption in Corporate Finance

While AI offers promising solutions for faster and more accurate detection of irregularities, it also imposes new governance challenges. The reluctance among CFOs to grant unrestricted access to internal data for AI systems underscores the need for careful management. Moreover, lessons learned by large corporations reveal that fragmented processes can lead to more confusion than clarity, prompting a more structured approach to AI deployment.

Incremental Progress Towards Financial Transformation

Despite a cautious approach in expanding AI beyond risk mitigation, the advantages of these technologies have become increasingly undeniable. Many firms have reported significant productivity gains, even with limited AI investment. For instance, finance managers like Emmanuel Pleitez of Finix noted the ability to save valuable time through AI-enhanced data reconciliation.

Conclusion: The Future of CFOs in a Tech-Driven Landscape

As the role of CFO continues to evolve, the integration of AI into financial operations presents both challenges and opportunities. The careful balance of managing risk while leveraging technology for growth will define the future of finance leadership. For CFOs, the path forward involves navigating this complex landscape with foresight and strategic intent.

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Broadridge Acquires Stake in DeepSee, a Utah-Based AI Startup Focusing on Automated Agents for Financial Services.

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The impact of AI on financial trading and investment approaches.

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January 12, 2026

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January 9, 2026
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