I asked a group of accounting professionals a pretty simple question this week: What will clients be most willing to pay accountants for in 2030?
Nearly three-quarters said the greatest value would come from judgment, interpretation and helping clients make decisions. Only about one-quarter chose technical knowledge or getting the work done accurately.
That tells me accountants know what is coming, but the bigger question is whether firms are actually preparing for it.
We Know Technical Work Won’t Be Enough
During a recent webinar, I polled more than 100 accounting professionals about AI, client value and the capabilities accountants will need in the future.
When I asked what clients would be most willing to pay accountants for in 2030:
42% said judgment and interpretation
32% said confidence in making decisions
14% said technical knowledge
12% said getting the work done accurately
Put another way, 74% believe clients will place the greatest value on what happens after the technical answer is produced. So accountants realize their role will be having more conversations around:
What does this mean?
What should we do about it?
What are we missing?
What happens if we choose one path instead of another?
Those are very different questions from, “Can you prepare this correctly?”
For decades, technical knowledge and accurate execution have been the foundation of accounting. They still matter because nobody wants an accountant who gets the answer wrong. But being necessary does not automatically make something valuable enough for clients to pay a premium for it.
AI is steadily making it faster and easier to produce, research, review and analyze technical work. As that happens, value moves somewhere else. Apparently, most accountants already recognize that.
We Also Know Human Skills Matter More
I asked another question: As AI gets better at technical work, what happens to the value of human communication skills?
Eighty-nine percent said those skills become more valuable. Even more striking, 80% said they become much more valuable. That is an overwhelming consensus.
Accountants increasingly understand that the future of the profession depends on capabilities such as listening, questioning, interpreting, challenging assumptions, communicating insight and helping another human make a decision. But there was a contradiction hiding inside the responses. Among the people who said communication skills would become much more valuable, roughly one-quarter still said clients would be most willing to pay for technical knowledge or accurate execution. Think about that.
We can believe human skills will become dramatically more important while still believing the economic model will revolve around the work we have always done. That tension may be one of the biggest challenges facing firms right now. We intellectually understand the future but haven’t fully let go of the past.
Trying AI Isn’t the Same as Changing How You Work
When I asked participants where they were in their own use of AI:
29% said they use it every day
41% said they are experimenting but inconsistent
20% are mostly watching and learning
10% haven’t really started
There’s good news in those numbers. Accountants are no longer ignoring AI, with roughly 70% using it daily or actively experimenting. But experimentation is not transformation. The largest group is still in the middle, where they are trying tools, testing prompts and figuring out where AI fits. It’s an important stage, but firms can spend a very long time there.
You can use AI to summarize a document, draft an email or research a question without changing anything fundamental about your job. You simply perform the same job faster. The bigger shift comes when firms start asking a different question:
If AI can do more of the work accountants have traditionally been paid to do, what should our people be getting better at instead?
That is where this stops being a technology conversation and becomes a talent conversation.
Who Teaches Judgment When AI Does the Repetition?
One attendee essentially asked: If AI replaces much of the data entry and verification work people traditionally learned from, how do we teach judgment?
Exactly!
The profession has spent decades developing accountants through repetition. You prepare the work, then you prepare more of it. Eventually you review someone else’s work. Over time, you see enough situations to recognize patterns, identify problems and build judgment. You start sitting in more client meetings. You see how experienced partners respond. Eventually, you become the person expected to advise the client.
AI threatens to compress that development path. That can be a tremendous opportunity, though. I don’t think anyone needs to spend years doing repetitive work simply because previous generations had to. But we cannot remove the repetitions that developed judgment and assume judgment will somehow appear on its own.
If firms want professionals who can interpret information, ask better questions and give clients confidence in their decisions, they have to intentionally develop those skills. Earlier. And that may require redesigning career paths that have existed for decades.
The Profession’s Beliefs Are Ahead of Its Systems
Accountants believe human communication will matter more and judgment and decision support will create more client value. What I’m less convinced of is that firms’ development models and career paths have caught up with those beliefs.
Many firms still promote people based heavily on technical execution. They still wait years to give younger professionals meaningful client exposure. They still treat communication, coaching, curiosity and strategic thinking as “soft skills” rather than core professional capabilities. And they are still structured around a model in which producing the work creates the value. That is the disconnect we need to address.
The Firm of 2030 will not be created when you buy enough AI tools. It will be created when you redesign the work around what humans need to do once AI can do more of everything else.
The encouraging part is that accountants already seem to know where value is going. Now we have to build firms that reflect it.
