Accounting firms invested heavily in attracting early-career talent. In the span of a few months this year, EY and PwC both doubled the bonus paid to entry-level hires who complete all four parts of the CPA exam, taking it to $10,000. Hybrid schedules and exam support have also become common recruiting tools, reflecting the time and resources firms are putting into getting qualified candidates through the door.
Recruitment addresses only the beginning of the talent lifecycle. Once a new hire accepts an offer, firms still have to determine how that person will develop as the nature of entry-level accounting work changes.
For decades, the first two years of a public accounting career looked roughly the same. Junior accountants chased documents, rekeyed data, reconciled information across systems, and worked through broken handoffs. Those tasks gradually became an informal training ground, exposing new professionals to source documents, engagement processes, and the details behind the work. Repeatedly seeing complete and incomplete files helped them recognize potential issues and begin developing professional judgment.
AI is now absorbing much of that work, improving efficiency while also removing part of the informal learning process that helped junior accountants build experience. Most firms have yet to replace that process with a more deliberate development model. Without a clear alternative, junior professionals may become proficient at moving work through an engagement while having fewer opportunities to build the judgment, client context and communication skills required of trusted advisors.
A Development Challenge Behind the Hiring Numbers
The demand signal is strong. Robert Half’s latest research found that 74% of finance and accounting leaders plan to increase permanent headcount in the second half of 2026. Because the respondent base extends beyond public accounting and leans more heavily toward corporate finance, the figure offers a broader labor-market context for CPA firms. The same research also reports that 75% of leaders saw skills shortages delay projects in the past year, the highest rate of any professional field surveyed.
Read together, those two findings show that organizations are hiring at the same time they are struggling to find professionals with the specialized skills and judgment their work requires. Increasing headcount alone will not resolve that challenge when firms lack a clear plan for developing the people they bring in.
Across all professions surveyed, 45% of hiring managers said they are prioritizing high-potential candidates and investing in their development when candidates with the specialized skills they need are not available. CPA firms can make that type of investment a more deliberate part of their talent strategies, particularly as AI reduces the amount of repetitive work traditionally assigned to junior staff.
The time recovered through automation creates more room for structured training, mentorship and exposure to the full engagement lifecycle. Realizing that opportunity will require firms to reconsider how early-career professionals spend their first five years in the industry.
Building the First Five Years Deliberately
As repetitive work provides less of the traditional learning curve, firms need more structured ways to help junior accountants understand how engagements operate and how experienced professionals make decisions. Several areas deserve particular attention:
- Source document literacy: Walk junior professionals through what each entry means and why it matters. Teach them what an incomplete client file looks like, why an adjustment was made, and how to explain that adjustment to the client in plain language.
- Structured mentorship: Shadowing works, but only when it comes with feedback that is specific and timely. Reviewing someone’s work is not the same as teaching them to review their own.
- Engagement lifecycle visibility: Put junior accountants where the decisions happen. Client kickoffs, planning discussions, presentation meetings. Judgment is learned by watching it exercised, not by receiving its output.
- Practical AI fluency: The most direct way to learn a tool is to audit it. Have new professionals review AI outputs, work through exception queues, and observe what senior accountants approve and what they send back. Understanding why a reviewer rejected something is the fastest available education in professional standards.
None of this is new pedagogy. Firms have always known that this is how accountants are actually made. What has changed is that firms can now afford to do it because they no longer need entry-level staff to serve as the connective tissue between disconnected systems. As AI takes on more of that administrative burden, firms have an opportunity to provide coaching, client exposure, and practical instruction more consistently.
This additional capacity can help young professionals understand engagements more fully from the beginning of their careers instead of learning each part of the process in isolation. It can also provide senior accountants more opportunities to explain the reasoning behind their decisions, helping junior staff develop the confidence to make sound judgments as their responsibilities grow.
Redesign the Early Career Path
AI is changing how accountants spend their time and how talent development should evolve alongside the shift.
The profession continues to depend on the relationships accountants build, the judgment they apply, and the confidence they give clients during important financial decisions. Junior professionals still need to learn how to evaluate incomplete information, recognize risk, and communicate clearly when the answer is not obvious.
When automation is used primarily to reduce costs, firms may gain near-term efficiency while thinning the experience base that prepares junior staff for more senior responsibilities. Reinvesting some of the recovered capacity in development can produce a stronger long-term result by helping early-career accountants contribute more meaningfully and take on advisory responsibilities sooner.
The long-term value of AI will depend partly on the training and development structures firms build around it. Programs that combine source document literacy, structured mentorship, engagement visibility, and practical AI fluency can give early-career professionals the judgment, client context, and technical confidence they need to become the next generation of accounting leaders.
ABOUT THE AUTHOR:
Mahati Mukkamala is Chief Financial Officer at HubSync.
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