Will Core Accounting & Finance Functions Be Replaced by AI?

Likewise, late last year McKinsey predicted AI would reduce finance overhead by as much as 20%.

Whether these predictions bear out remains to be seen. What’s clear is that the promise of AI and automation is sending shocks throughout the market, leading many to wonder how it will impact accounting jobs, whether it will change the foundational skill sets employees require, or the ways in which it will cause the career ladder to shift.

In this article, we’ll address the last of these problems: the impact of AI on the accounting and finance career ladder. Whether you’re looking for your first job or an experienced professional looking for a pivot, let’s look at how to navigate these changes.

Key Takeaways

• • AI is reshaping workflows, not erasing careers. In accounting and finance, risk, regulation, and accountability mean humans remain essential, especially in roles closest to money, judgment, and decision-making.

• • The “lower rungs” aren’t disappearing, but expectations are rising. Entry-level professionals who build AI literacy, strong fundamentals, and sound judgment will stay relevant and advance faster in AI-augmented teams.

• • Career resilience comes from leaning into what AI can’t do well. Client trust, strategic thinking, contextual judgment, and clear communication are becoming even more valuable as automation handles routine tasks.

Why AI Isn’t Replacing Accounting & Finance Jobs Anytime Soon

There’s a lot of noise right now about AI wiping out accounting and finance roles. Sure, AI is going to change how these jobs work. But “replace” is a much stronger word than people realize. At least for the foreseeable future, AI isn’t the existential threat some headlines (or controllers) want it to be.

Here’s the core issue that doesn’t get talked about enough: AI won’t be a real threat in finance until we are 100%, unquestionably certain that it won’t make disastrous mistakes.

Think about it: if you’re the CEO of a Fortune 500 company, what keeps you up at night more: saving a few million dollars by cutting staff with AI, or signing an income statement that turns out to have an AI-induced error to the tune of $20 million? Trusting an AI system with decisions that could seriously tarnish your reputation, your company, or your legal standing is a very different calculation than trusting it to summarize emails or draft a slide.

What AI will do is make analysts, traders, and finance teams more efficient. Certain firms may need fewer people to do the same work they do today. But historically, efficiency doesn’t just shrink teams; it often fuels growth. Companies either reinvest those gains to scale faster, or lower barriers to strategies and initiatives that they were too resource-constrained to pursue in the first place.

What Other Obstacles to AI Implementation Will Prevent Widespread Job Loss in Accounting & Finance?

Beyond just the risks associated with it, AI adoption in mid-size firms’ accounting and finance functions faces other obstacles:

• • Cost and integration complexity. AI implementation is not cheap, and many costs are tied to usage (e.g. credits for each action achieved in an agentic AI workflow). Without clear parameters for how to use these tools, costs can balloon quickly.

• • Integration challenges. Most legacy finance platforms aren’t built with AI in mind; integrating AI into them presents both operational and security-based concerns.

• • Data unpreparedness. Firms who are used to operating without solid data governance practices often have siloed, incomplete, or erroneous data. This seriously hinders AI’s ability to make informed, accurate decisions.

• • Talent and skill gaps. There is a shortage of people who can select, implement, and manage AI tools in the finance world; without this talent, AI initiatives will inevitably stall.

• • Regulatory concerns. There is a good deal of uncertainty around whether AI outputs comply with GAAP/IFRS and tax rules; this is a major barrier that’s unique to accounting and finance that an average tech company doesn’t have to deal with.

• • No clear strategy (“shiny object syndrome”). Right now, AI is a buzzword. It’s hype. Everyone is rushing to use it without answering the question: what are we going to use it for? Without a clear definition of value, it’s hard to prioritize AI adoption initiatives.

• • Lack of change management. Even if companies have access to the right tools, staff can be resistant to new workflows, especially if they fear this will disrupt or even replace their current role.

Together, these obstacles mean that firms will adopt radical AI transformation much slower than Fortune 500 companies, if that change happens at all. The need for human accountants and finance professionals isn’t going away.

What Entry-Level Accounting and Finance Professionals Should Do

Don’t panic over whether entry-level jobs will exist in a few years. Instead, take the necessary steps to remain relevant in this new landscape. Here are a few things we’re seeing our top candidates doing to set themselves up for success.

1. Become AI‑literate and workflow fluent

AI literacy is about much more than knowing how to prompt a chatbot. It’s about understanding where AI offers value and (probably more importantly) where it doesn’t. In other words, it’s about building workflows that involve clearly defined roles for AI and humans to work collaboratively.

For early-career professionals, this can be an exciting opportunity. One way to set yourself apart is to develop an AI “sixth sense”: the instinct to supervise AI outputs, catch errors, and know when you can confidently stand behind the final result.

2. Deepen core technical and commercial judgment

As AI gets better at producing outputs, fundamentals become more important than ever. Accounting standards, tax rules, finance theory, and regulatory nuance are the foundation that allows you to spot when something looks right but actually isn’t.

Potential future employers don’t just need numbers; they need someone who can explain what those numbers mean in context and what decisions should follow. Translating outputs into actions that move money, reduce risk, or unlock opportunity is where human expertise remains irreplaceable.

3. Lean into human, client‑facing, and advisory work

AI is good at handling repetitive tasks. It’s far less effective at trust, persuasion, and navigating ambiguity. Setting yourself up for roles that involve client relationships, strategic conversations, and scenario planning can be a good way to protect your career against AI.

You can do this by investing in communication skills, systems thinking, and long-term planning. More than that, just be the kind of person clients and employers want in the room when decisions are uncertain or stakes are high.

4. Build visible tech and analytics skills

Knowing about technology isn’t enough. You need to show that you can use data, models, and AI‑enabled tools to support better decisions. That starts with strong financial analysis and an understanding of how systems connect across the organization.

The most effective approach is simple: standardize and document processes first, then layer in automation. When AI frees up your time, reinvest it into deeper analysis and insight.

Final Thoughts on How AI is Changing Entry-Level Finance and Accounting Jobs

AI doesn’t eliminate careers. Irrelevance does. The professionals who stay ahead are curious, adaptable, and intentional about learning from people who’ve already navigated change. They’ll be the ones who understand their craft, know how to apply technology thoughtfully, and position themselves where judgment, trust, and impact matter most.

Another way to think about it: the closer a role is to actual money, legal accountability, and regulatory risk, the safer it is from full AI replacement.

If you’re trying to figure out how to build (or protect) a career in accounting and finance as AI reshapes the landscape, Grayson works with professionals at every stage to help them think clearly, skill up intentionally, and make smart career moves.

Reach out if you want an honest conversation about where the market is headed and how to stay ahead of it.

Frequently Asked Questions

Will accounting be replaced by AI?

No. AI will automate repetitive and rules-based tasks, but accounting roles that require judgment, oversight, and accountability are not going away. Instead, the profession is evolving toward higher-value work.

What accounting tasks are most likely to be automated by AI?

AI is best suited for data entry, reconciliations, invoice processing, basic reporting, and variance detection. These efficiencies free accountants to focus on analysis, compliance, and decision support.

How is AI changing entry-level accounting jobs?

Entry-level roles are shifting from pure task execution to supervising AI outputs, understanding workflows, and interpreting results. Strong fundamentals combined with AI literacy are becoming the new baseline.

What skills do accountants need to stay relevant as AI advances?

Accountants who develop technical judgment, regulatory expertise, analytical thinking, and communication skills (and who can effectively work with AI tools) will be best positioned to grow their careers.