Last month I had the opportunity to present at our LCvista Community Summit, leading a session titled "What Do We Train Them to Do Now? Navigating Talent Development in a Global + AI-Enabled Firm."
The topic alone tells you something about where our profession finds itself.
For decades, learning and development in accounting firms was built around a relatively predictable progression. New professionals entered the firm, learned through repetition, gradually built technical mastery, and eventually developed the judgment required to advise clients. It wasn't perfect. But it worked.
Today, though, many of the underlying assumptions that supported that development model are changing faster than most firms expected.
Automation is eliminating routine work. Global teams are absorbing preparation tasks. AI is accelerating analysis.
And suddenly, leaders across the profession are facing a very real question: if the model that built us is no longer working, what do we build instead?
For most of modern public accounting history, development followed a familiar shape. The traditional staffing pyramid had a wide base of early-career staff performing large volumes of routine work.
Through repetition, professionals developed technical accuracy, then efficiency, and eventually judgment. Only after demonstrating competence behind the scenes did professionals gradually gain client exposure.
In other words, the development model looked something like this:
Repetition → accuracy → judgment → client readiness
That progression made sense in a world where firms were built on compliance work and large teams of professionals were needed to execute it. But that world is changing.
Routine preparation work is increasingly handled by global resourcing, automation, and workflow tools, and AI-enabled platforms that reduce manual effort. At the same time, domestic teams are becoming smaller, more specialized, and more advisory-focused.
Which creates a development challenge many firms are just beginning to confront:
If repetition was used to build competence in accounting professionals, what replaces it?
Historically, the first skills we taught new professionals were technical. Accuracy came first. Business understanding came later. But in a world where automation increasingly handles the mechanics of the work, the development priorities must shift.
Today's early-career professionals need to build capability in areas that historically came much later in a career — business acumen, commercial awareness, critical thinking, judgment, and communication.
This doesn't mean technical expertise disappears. Far from it. But it does mean the sequence of development changes.
Instead of starting with technical execution and eventually layering on business context, firms must begin by helping professionals understand how businesses operate and where value is created. When professionals understand the business context, the technical work becomes far more meaningful.
During my session, I introduced four capabilities that are becoming foundational for new professionals in an AI-enabled firm. These are skills that historically emerged later in a career but increasingly need to be developed from the very beginning.
Young professionals must understand the economics of both the firm and the client.
That means asking questions like:
When professionals understand the business model behind the work, they stop seeing assignments as isolated tasks. They begin to see the bigger picture.
Too often, early-career staff are trained to focus primarily on completing tasks accurately. But the more valuable skill is understanding why the work matters.
Professionals should be encouraged to ask:
When professionals understand the purpose behind the work, they develop stronger judgment and become far more engaged in the process.
One of the biggest challenges facing accounting firms today is how to develop judgment without relying on large volumes of repetitive work. Historically, pattern recognition developed naturally because professionals saw the same types of work hundreds of times. Today, automation and AI reduce that repetition.
Which means development must intentionally teach professionals to ask better questions, including:
In other words, firms must design experiences that accelerate judgment, rather than waiting for volume to build it organically.
In the past, many professionals stayed behind the scenes until their technical work was nearly flawless. But modern accounting firms need professionals who can engage with clients much earlier in their careers.
That includes developing the ability to:
Perfection is no longer the entry point. Clarity is.
If routine work is no longer the primary training ground, development must be intentionally designed rather than accidentally experienced.
One framework we explored during the summit organizes development into three stages:
Exposure → Participation → Ownership
Instead of focusing exclusively on task execution, early onboarding should help professionals understand the context behind the work.
This might include:
The goal is to build context early, even before technical mastery is complete.
Once professionals understand the broader context, they begin contributing more directly.
This could involve:
This stage helps professionals begin building confidence in real-world situations.
Finally, professionals begin taking ownership of outcomes.
This includes responsibilities such as:
The goal is accelerated client readiness — preparing professionals for advisory roles earlier in their careers.
One of the most thought-provoking moments during the session came when we asked participants to reflect on a simple question:
Are we training professionals for the expectations of yesterday or for tomorrow?
Training programs are often designed around the development model that existed ten or twenty years ago. We still assume repetition builds competence. We still measure success by CPE hours rather than real capability. But if the work itself has changed, development must change as well.
Perhaps the most important takeaway from the session was this: Learning & Development is no longer simply supporting the firm's operating model. In many ways, we are redesigning it.
When the structure of work changes, the way professionals develop must change as well. That puts learning leaders at the center of one of the most important transformations happening in the profession today.
If the traditional pyramid was built on volume, the next generation of accounting firms will be built on value.
Which means the real question for learning leaders is not simply: What training programs should we offer?
Instead, we should be asking: What experiences must we design to accelerate judgment, business understanding, and client readiness?
That's the challenge in front of us. And the profession has never needed learning leaders more than it does right now.
Q: What is the biggest challenge in early-career development for accounting firms today?
The biggest challenge is that the primary mechanism for building professional competence — repetitive task volume — is being eliminated by automation, AI, and global delivery teams. Firms must now intentionally design experiences to replace what repetition used to provide organically.
Q: How do accounting firms develop professional judgment without repetitive work?
Development must be designed to teach pattern recognition deliberately — through guided observation, structured interpretation of completed work, and analysis of AI-generated outputs. Rather than waiting for volume to build intuition, firms must teach professionals to ask better diagnostic questions from the beginning: what looks unusual here, what pattern am I seeing, what might require escalation?
Q: What should replace routine work in early-career accounting L&D?
A structured three-stage model — Exposure, Participation, and Ownership — can replicate the developmental function that repetitive task volume once served, while accelerating the judgment, business acumen, and client readiness that modern advisory-focused firms need.
Q: When should early-career accounting professionals begin client-facing work?
Earlier than most firms currently allow. Client readiness should be defined as the ability to engage clearly and thoughtfully — asking good questions, explaining findings, communicating risks — not technical perfection. Perfection is no longer the entry point. Clarity is.
Q: What are the most important skills for early-career professionals in AI-enabled accounting firms?
The four most critical are commercial awareness, context before compliance, judgment development without repetitive volume, and client communication — all of which must now be built from the first year rather than emerging gradually over a career.
Q: How is AI changing talent development in accounting firms?
AI is eliminating the routine preparation work that once served as the primary training ground for early-career professionals. This accelerates the need for advisory skills, business acumen, and client communication — while reducing the natural repetition that used to build technical judgment. Firms that don't redesign their L&D model in response will find themselves with a growing capability gap at every level.
Danielle McCormick is President of Spiirall & L&D Solutions at LCvista, a professional readiness platform purpose-built for US accounting firms. She works with firms across the profession on talent strategy, learning design, and organizational development.
LCvista helps accounting firms manage every stage of professional development, from CPE compliance tracking to outcomes-based L&D. Trusted by 80% of the Top 200 US accounting firms.