The AI Window Is Closing Faster Than You Think
There is a particular kind of email I keep getting from accounting firm owners. The subject line is some version of the same question. Should we be doing something about AI yet, or is it still too early?
It is the wrong question. And the fact that so many smart firm owners are still asking it tells me something important about where our profession is in this transition.
Let me explain what I mean.
The two adoption phases
Every technology shift in our profession has gone through the same two phases. There is an early-adopter phase, where the firms that move first get a meaningful, compounding advantage. Then there is a table-stakes phase, where the technology becomes expected and the advantage disappears. The firms that moved during the early-adopter phase keep the lead. The firms that waited end up two or three years behind, trying to catch up on someone else’s playbook.
Cloud accounting went through this in the early twenty tens. The firms that moved in twenty twelve to twenty fifteen built their entire client experience around it. They captured the modern small business owners who wanted real-time visibility. By twenty nineteen, cloud was table stakes and the advantage had shifted from “we use the cloud” to “we built our whole firm around it.” The firms that waited never caught up.
Outsourced offshore preparation went through the same cycle. So did digital signature workflows. So did the shift to advisory billing.
AI is in its early-adopter phase right now. Today. The window is open. It will not stay open.
The firms that move on this in the next twelve months will spend the next decade competing against firms that did not.
How fast is this moving
Faster than cloud did. Faster than digital signatures did. Faster than anything our profession has dealt with before, with the possible exception of the original move to electronic filing.
Three data points to sit with.
First, the AI consulting market for professional services was about eight and three quarter billion dollars in twenty twenty four. It is projected to hit roughly eleven billion in twenty twenty five and ninety one billion by twenty thirty five. That is a twenty six percent compounding annual growth rate. Money is moving into this space ten times faster than it moved into cloud at the equivalent stage.
Second, finance and banking are leading AI adoption among industry verticals, sitting at about twenty two percent of total AI deployment market share. Accounting is a subset of that vertical, and it is moving faster than most subsets because the work is so pattern-heavy and the data is so structured.
Third, and this is the one that should get your attention. Sixty percent of employees across the broader economy report using generative AI tools in their daily routine. Your staff, your clients, your competitors’ staff. They are already using it. The question is whether your firm is deploying it strategically or whether your team is just using ChatGPT on the side without you knowing.
What “too early” actually means
When a firm owner tells me it feels too early to move on AI, what they usually mean is one of three things.
Sometimes they mean the tools are not stable yet. That was true two years ago. It is no longer true. The major tools in the accounting AI stack have hit version maturity. They have real customer bases. They have integrations that work. They are not changing fundamentally month over month anymore.
Sometimes they mean their team is not ready. That is a reasonable concern, but it is solved by giving the team a structured program, not by waiting. Waiting just means your team learns AI through random YouTube videos and side projects rather than through a strategic deployment you control.
Most often, though, “too early” is a feeling, not a fact. It is the same feeling that managing partners had about cloud in twenty thirteen and about offshore prep in twenty sixteen and about advisory billing in twenty nineteen. The feeling is real. The fact behind it is wrong.
What the early-adopter advantage actually buys you
Three things, in order of importance.
First, you get the compounding curve. AI systems improve with use. The firms deploying now are building the data sets, the workflows, the institutional knowledge that the firms moving two years from now will be starting from zero on. This is the biggest piece, and it is the one most firm owners underestimate.
Second, you get the talent advantage. The best young accountants want to work in firms that are using modern tools. The firms that have deployed AI by the time these graduates hit the market in twenty twenty six and twenty twenty seven will have their pick. The firms that have not will be hiring the leftovers.
Third, you get the client capture window. Every quarter you delay, a few of your clients get poached by a firm that responded faster, communicated more proactively, or delivered advisory insights you did not have the bandwidth to produce. That client base is your runway. The longer you wait, the shorter the runway gets.
What I would do if I were you
Start with the diagnostic. Do not start with the tools. Most firm owners want to skip ahead to “what software should I buy,” and that is exactly the wrong move. You do not pick the tools first. You diagnose where your firm is bleeding time, money, and competitive position, then you design the system that closes those specific gaps.
I put together a diagnostic report that walks through the seven most common gaps inside accounting firms, with the dollar math underneath each one. It is free. It takes about ten minutes to read and another twenty to mark up against your own firm. It is the same starting point I use when I sit down with a managing partner for the first time.
The 7 AI Blind Spots Costing Accounting Firms Six Figures a Year
A diagnostic guide for managing partners who want to see what their competitors already see.
The window is open right now. The math on waiting gets worse every quarter. Whatever you decide, decide with the actual numbers in front of you.
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Related: Read more about The Five Layers Every Firm Needs Before Touching AI.
Related: Read more about How AI Changes the Role of the Managing Partner.