In my last AT Think article, I wrote about the fast-changing nature of the interplay between AI and the job of accountants, and how accountants using AI will replace those who don’t. One of the most obvious and vulnerable roles in this transformation is the junior associate. The way this role has been historically structured is deeply rooted in manual, rote tasks like data entry, trial balance reconciliations, and tick-and-tie reviews. But with AI (especially agentic) taking over these functions, we are being forced into a reckoning.
Our society at large is grappling with this conundrum, with Jasper.ai CEO Timothy Young recently saying this: With the commoditization of intelligence, it’s not about having the smartest people anymore. It’s about developing your staff to have management skills because every employee in the next 12 months is going to have a series of agents that are helping them do their work… There is a lot of power in junior employees, but you can’t leverage them the same way that you would in the past.”
This is the chasm our profession is staring down—rethinking how we onboard and grow talent, or risking falling into the chasm ourselves.
The good news is that we’ve seen this movie before.
Just as aviation transformed how pilots were trained in the era of electronic systems and autopilot, accounting must now rethink how we develop early-career talent. When automation entered the cockpit, pilot training didn’t disappear—it evolved. Entry-level pilots still needed to understand aviation deeply, but the way they gained that experience changed. Similarly, surgeons had to evolve with the rise of robotic-assisted surgery. They still required deep anatomical knowledge and surgical judgment, but their training incorporated simulation labs, new muscle memory, and collaboration with technology. These professionals didn’t lose their relevance—they adapted and expanded it.
Likewise, with the right approach, our entire profession can not only cross this chasm, but thrive in this new AI-powered era.
The Apprenticeship Model No Longer Works
Traditionally, the accounting profession has leaned heavily on the apprenticeship model. A junior accountant joins the firm, gets assigned lower-complexity tasks, and over time—through review feedback, partner interactions, and real-world exposure—builds the judgment muscle required to lead engagements.
This model assumes:
(1) low-complexity tasks will always be valuable for the junior associate to execute; and
(2) judgment and learning to think must come by doing low-complexity tasks.
Because the first assumption is being invalidated by AI every day with AI performing the work better, faster, and cheaper, we must find a path forward that addresses the need to learn judgment in a new way.
The core challenge we face is this: How do we train someone to think like a professional accountant, to build sound judgment and apply skepticism, without relying on the traditional work that used to scaffold that learning?
Herein lies our opportunity: successfully decoupling the development of judgment from the doing of low-complexity work.
The New Junior Associate Role: AI-Native, Judgment-Building through a Learning-First Approach
If we accept that the apprenticeship model no longer works in its traditional form, then we must deliberately architect what replaces it. What follows are thoughts on how we reshape that role to prepare accountants not for the jobs of yesterday, but for the AI-first world of tomorrow.
(1) Non-billable, structured learning scenarios where junior staff perform low-complexity tasks like trial balance reconciliations or tax prep simulations—not to complete client work, but to understand the patterns and build mental models. This means doing work to build context, not to bill hours.
A personal example: I’m in the middle of a course on AI where I am prototyping AI agents. Am I planning to deploy production-grade agents? No. (I can ship production code, but trust me you don’t want me to at this point). But I need to understand enough to direct strategy, evaluate vendors, and help firms deploy AI at scale.
(2) AI-human collaborative simulations where staff run through a task, review how AI would perform it, and iterate based on discrepancies. This type of simulation could deliberately introduce common mistakes and heuristics that junior accountants could learn from.
This simulation requires capturing more experienced accountants’ judgment and heuristics, which we’ve traditionally not documented, because this learning was organic and incidental. But the moment is here to capture all of this explicitly to train the next generation.
(3) Curiosity and resilience as a hiring filter, seeking out those who are coachable, agile, and adaptive, rather than just academic excellence and technical prowess.
This shift means we no longer hire for task execution—we hire for potential, and train for independent thinking in a hybrid AI-human world.
(4) Creating space for experimentation, where junior staff are encouraged to try new workflows, ask questions, and even break things—as long as they learn from it. This isn’t just about tolerance for failure, it’s about engineering an environment where feedback loops, iterative problem-solving, and psychological safety are part of the DNA.
In practice, this could mean assigning internal sandbox projects, encouraging junior staff to prototype internal automations, or hosting “failure retrospectives” where teams share what they tried, what broke, and what they learned. These activities cultivate the critical thinking and resilience that today’s accountants need to effectively partner with AI, not just operate alongside it.
Final Thought: Let’s Build that Bridge and Cross Together
If we don’t act now, we will soon find ourselves with a generation of mid-career gaps; no one trained to lead, no one with the context to take the reins. But if we treat this as an inflection point, we can design new, AI-native career pathways that are adaptive, resilient, and empowering.
It starts with reimagining the junior associate role not as a vestige of a dying model, but as the foundation for the next era of professional judgment and leadership.