AI IN ACCOUNTING IS RESHAPING HOW FIRMS TRAIN FUTURE FINANCE LEADERS

LIPA CITY, Philippines – Accounting firms are accelerating their use of artificial intelligence while confronting a parallel concern: many of the repetitive, lower–risk activities being automated have traditionally helped junior accountants learn financial systems, internal controls, audit procedures, and professional skepticism.

The issue has gained urgency in 2026 as professional organizations examine how accounting automation will affect early-career roles and the development of future managers, partners, controllers, and CFOs.

Research published by the Institute of Chartered Accountants in England and Wales on May 22, 2026, found that 68% of participating firms believed AI would reduce demand for some early-career accountants. However, 83% agreed that this would not directly result in fewer accounting roles overall. 

The survey covered managing partners and CEOs from 35 UK mid-tier ICAEW member firms and was conducted between February and March 2026. Its findings reflect the expectations of this specific group and should not be treated as a global accounting-industry survey.

Meanwhile, the American Institute of CPAs launched its Profession Ready Initiative in early 2026 to identify the capabilities aspiring and early-career CPAs will need in an increasingly AI-driven workplace. The project is studying entry-level professionals and CPAs at approximately the four-year career stage, with research, public consultation, and final resources expected to continue into 2027.

Together, these developments suggest that the immediate challenge is not simply whether AI will eliminate accounting jobs. The larger question is whether firms can redesign work quickly enough to preserve the learning experiences that develop professional judgment.

More than 3,000 new Philippine CPAs enter a changing profession

The issue is particularly relevant to the Philippines.

On June 2, 2026, the Professional Regulation Commission announced that 3,004 of the 9,745 candidates who took the May 2026 Certified Public Accountants Licensure Examination passed.

These results represent a substantial new cohort of Philippine accounting talent entering or preparing to enter–a profession in which employers are reconsidering the work assigned to junior employees.

The examination results do not measure AI readiness, employability, or the supply and demand for accountants.

However, they illustrate the number of newly qualified professionals whose career development may be affected by changes in accounting technology, finance outsourcing, and global service-delivery models.

For Philippine accounting graduates, the changing environment could create both opportunity and risk.

Automation may reduce the time spent on transaction processing and routine verification, but employers may consequently expect new professionals to develop analytical ability, technological fluency, communication skills, and professional judgment earlier in their careers.

Philippine accounting outsourcing is moving toward higher-value work

The OECD’s 2026 Economic Survey of the Philippines, citing 2025 information from the IT and Business Process Association of the Philippines, reported that the Philippine IT-BPM industry employed approximately 1.8 million people, representing around 3.7% of total employment, and generated revenue equivalent to around 8% of GDP. 

The OECD also noted that the industry has been diversifying beyond contact-center and back-office work into higher-value areas such as global capability centers, healthcare information management, IT, software, data analytics, and knowledge-process services.

It warned, however, that AI creates significant exposure for routine clerical work and that workforce upgrading will be necessary for AI-intensive global service delivery. 

On April 19, 2026, the Philippines' Department of Finance similarly reported that the BPO industry was evolving toward higher-value services involving artificial intelligence, data analytics, and IT-enabled work.

Finance Secretary Frederick Go identified the sector as one of the industries expected to contribute to the country’s next wave of employment.

For Philippine accounting outsourcing providers, the implication is that long-term competitiveness cannot depend solely on transferring repetitive work from higher-cost markets.

Accounting talent will increasingly need to contribute through analysis, exception management, controls, reporting, client communication, technology oversight, and decision support.

Firms must redesign learning–not only automate tasks

Eduard Ortega, CPA, CMA, Founder and CEO of Remotely Philippines, said the profession should treat training design as part of its AI and finance transformation strategy.

“The firms that thrive won’t simply automate accounting – they’ll redesign how accountants learn, exercise judgment, and create value,” Ortega said. “AI should accelerate professional development, not replace it.”

Vouching – the process of comparing accounting records with supporting documentation–is one example of foundational work increasingly supported by technology.

AI-powered audit tools can accelerate portions of that process, but professionals still need to understand why the procedure is performed, what evidence is appropriate, and how to identify an output that may be incomplete or incorrect.

This changes the role of entry-level accountants. Instead of spending most of their time compiling information, junior professionals may be asked earlier to evaluate exceptions, investigate inconsistencies, interpret results, and communicate findings.

It also changes the responsibility of managers. When accounting automation reduces the volume of routine preparation work, firms must find other ways to provide repetition, feedback, review exposure, and progressively more complex assignments.

What CFOs and accounting firms are asking about AI

From Remotely Philippines’ experience supporting accounting firms and finance teams, expectations are increasingly extending beyond whether outsourced professionals can complete a defined task.

Clients also look for team members who can understand workflows, identify exceptions, communicate clearly with reviewers, and take ownership of work quality. 

According to Ortega, this makes AI governance and human accountability central to both in-house finance transformation and outsourced accounting services. 

“The most useful question is no longer simply whether a tool can perform an accounting task,” Ortega said.

“Finance leaders also need to ask who reviews the result, whether that person understands the underlying process, how client data is protected, and who remains accountable when the output is wrong.”

AI in accounting should therefore be implemented as a controlled productivity and insight layer. Human authorization should remain in place for accounting judgments, postings, reconciliations, payments, and client-facing outputs.

Five actions firms should take over the next 12 months

Accounting firms, CFOs, and finance leaders can take five practical steps as they expand their use of AI: 

1. Map tasks against learning outcomes 

Before automating a process, identify what employees currently learn by performing it. If automation removes that experience, determine how the underlying knowledge will be taught and assessed. 

2. Define human review and accountability 

Document who reviews AI-generated work, what evidence reviewers must examine, which exceptions require escalation, and who has final authority over the output. 

3. Redesign junior accounting roles

Give early-career professionals structured exposure to exception investigation, account analysis, controls, client communication, forecasting, reporting, and process improvement–not only transaction processing. 

4. Train managers to coach AI-enabled teams 

Managers will need to explain underlying accounting principles, evaluate employees’ reasoning, and provide feedback even when software performs part of the original task.

5. Measure development alongside efficiency

Track quality, review findings, training hours, client exposure, promotion readiness, retention, and progression into higher-value responsibilities. Hours saved should not be the only measure of successful accounting automation.

Questions leaders should ask before adopting an accounting AI tool

Before implementing AI in accounting or finance outsourcing, leaders should ask:

- Which tasks will the technology perform or influence?

- What professional knowledge was previously developed through those tasks?

- Who will review the output and approve the final decision?

- What financial or client information will enter the system?

- How will incorrect, unsupported, or unusual outputs be escalated?

- Can the employee reviewing the result explain the underlying accounting treatment?

- How will the technology affect junior-level training and career progression?

- What quality, privacy, security, and financial-control measures must remain unchanged?

These questions help distinguish controlled technology enablement from automation that creates new operational or professional-development risks.

A broader conversation for the accounting profession

For local accounting firms, the transition creates an immediate workforce-development challenge. For Philippine accounting graduates, it raises the standard for technological fluency and professional judgment.

For accounting outsourcing and finance outsourcing providers, it creates an opportunity to move toward more analytical, supervised, and technology-enabled services.

That opportunity will depend on whether employers provide real progression rather than simply relocating routine work.

Responsible Philippine accounting outsourcing should enable professionals to move from preparing work to reviewing it, explaining it, improving the process, and eventually leading engagements.

“As AI adoption accelerates across the accounting profession, the conversation should shift from what technology can automate to how firms can continue developing future finance leaders,” Ortega said.

The future accounting team is unlikely to be entirely human or entirely automated. Its effectiveness will depend on how well firms combine technology with professional skepticism, governance, accountability, and human judgment.