Staying Relevant as AI Reshapes the Business of Finance

How accountants, bookkeepers, and CFOs can stay indispensable in the next 24 months

By Aaron Parks

Founder, ParksPacific Bookkeeping

www.parkspacificbookkeeping.com

March 2, 2026

Throughout the past year, businesses have been sending the financial world a very clear signal. As AI changes the way business processes are executed, automation replaces labor in almost all vertical markets.  Recently, a major fintech firm announced thousands of layoffs and explicitly linked the decision to AI-driven productivity gains. Investors rewarded the move immediately.

We can debate timelines. We can debate scale. But the direction is not ambiguous.  

AI will absorb a meaningful portion of traditional accounting and bookkeeping work in the next one to two years. The question is not whether this will happen. The question is whether we will prepare for it — and more importantly, whether we will elevate our role before the market forces us to.

For many finance professionals, the first reaction is disbelief. It is uncomfortable to imagine that 60–80% of structured, rules-based finance work — reconciliations, journal entries, recurring accruals, routine reporting — could be executed by intelligent systems. Yet that is precisely the category of work in which AI excels.

This shift is not personal. It is economic.

Boards and ownership groups can see margin improvement tied directly to automation in other organizations. Naturally, they will ask the same question internally: “Where can we streamline?”

But here is where the conversation becomes more interesting.

AI can process transactions. It can draft reports. It can build forecasts and generate dashboards. What it does not replicate easily is executive judgment, capital allocation strategy, risk navigation, and forward-looking financial architecture. But this is exactly where finance leaders must move.

The opportunity in front of us is not to defend transactional work. It is to move upstream into advisory, modeling, governance, and strategy. To understand not only what the numbers are, but how financial systems themselves are designed — and how AI should responsibly integrate into them.

Those of us in finance need to be studying AI with the same rigor we once applied to studying accounting standards in school. Not simply learning how to prompt a model, but understanding which LLMs are appropriate for financial workflows, how to design internal controls around AI-generated outputs, how to safeguard sensitive financial data, and how to measure return on investment from automation.

We need to learn the tools that automate the processes that we execute or oversee. We need to understand the limitations of AI tools and we need to learn how to validate the tools’ output. If we build strong internal controls around our own processes, we will always have a place to make sure that AI-generated output is accurate as well as timely.

Right now, AI tools are being released at a breakneck rate. It seems we’re seeing 4, 6, 10+ new AI tools on a daily basis. In addition to this, the LLM software that we are using to implement AI has become increasingly more sophisticated and more capable with each successive iteration.  

Companies will need individuals who can speak intelligently about these AI tools and help direct them to ones which meet their needs the best.  Companies want measurable ROI. They want governance. They want confidence that efficiency does not come at the expense of accuracy or security.

The CFO of the next decade will not be the chief calculator. The CFO will be the architect of financial systems, the validator of AI-enhanced models, and the translator between data and strategic decision-making.  Soft skills — communication, cross-department fluency, the ability to present board-ready analysis — will matter even more. AI can generate output. It cannot stand in a boardroom and defend assumptions under pressure.

Accounting and bookkeeping are not disappearing. They are evolving. The repetitive layer is shrinking. The strategic layer is expanding. For finance professionals willing to lean into AI governance, advanced modeling, and executive-level advisory, this moment represents leverage — not obsolescence.

At ParksPacific, we have been thinking a great deal about this transition, particularly as professional service firms begin integrating AI into their finance functions. The firms that approach this deliberately — designing AI policy, selecting the right tools, building oversight frameworks — will not only protect margin, they will expand it.

If you are a partner, CEO, or finance leader navigating these questions, I would welcome a conversation on how we might assist your company. The next 24 months will reshape our profession; those who move first will help define what it becomes.

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About the Author

Aaron Parks is the President and owner of ParksPacific Bookkeeping, a boutique Advisory Services firm specializing in the use of custom dashboarding and risk analysis to bring about strategic advancement to their clients.

Learn more at www.parkspacificbookkeeping.com

©2026 ParksPacific Bookkeeping, All Rights Reserved.  Parts of this document were made with AI.