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How AI can help solve accounting’s labor shortage

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The accounting profession is facing a perfect storm of staffing challenges. There aren’t enough accountants to handle the rising workloads, the workforce is getting older, and the number of new CPAs coming in has been slowing to a trickle over the past ten years. Companies are desperate for ways to keep their quality of service high, even though they have smaller teams. Artificial intelligence (AI) is one possible answer. 

Accounting’s Talent Shortage By the Numbers

About three-quarters of the CPAs who work now are either at or close to retirement age and will be leaving the workforce in the next ten years. This “silver tsunami” means that many experienced professionals will soon leave the field.

Also, fewer people are taking the CPA exam, which means there are fewer new graduates entering the profession. Because of things like the 150-hour CPA requirement, lower starting salaries, and not understanding the profession well, fewer students are choosing accounting.

In addition to retirements, a lot of accountants in the middle of their careers have left the profession in the last few years. Over 300,000 U.S. accountants and auditors left their jobs between 2019 and 2022, a 17% decline in the workforce. This is a lot higher than the average quit rate in the economy, which shows that people in the field are facing burnout and dissatisfaction. 

Ironically, there continues to be strong demand for accounting services. Companies need to find ways to do more with less because there is more work and fewer people. This is where technology, particularly AI, comes into play.

What Accounting Firms Can Automate Today

Recent advances in AI offer a timely opportunity to boost efficiency and alleviate overburdened staff. Modern AI tools can handle many routine, time-consuming accounting tasks, allowing human professionals to focus on higher-value work. 

Here are some examples of how automation powered by AI can be used across different accounting tasks:

Bookkeeping and data entry: AI-powered software can classify revenue and expenses and reconcile accounts, automating bookkeeping and data entry. Algorithms scanning invoices or receipts can automatically extract all relevant fields, saving time and reducing data entry errors. AI matching ledger transactions to bank statement lines accelerates bank reconciliations from hours to minutes by detecting exceptions for human inspection.

Document review and audits: AI systems can quickly read and extract data from documents for audits and document review. AI lets audit teams evaluate entire contracts, agreements, and financial records for issues. Deloitte used cognitive artificial intelligence to examine all contracts and detect auditor-relevant phrases and irregularities. 

Tax preparation and research: AI is simplifying tax preparation and research, from data collection to filing. Tax prep and research machine learning models can automatically extract and prepare W-2s, 1099s, and other tax documents for returns. This makes hand-entering taxes much easier. AI can optimize a client’s tax situation by finding qualified credits or deductions by verifying transactions against tax legislation. 

Analytics and forecasting: AI can find trends and generate concepts that humans cannot. Accounting and advising firms use AI-driven analytics for risk assessment, fraud detection, and predictive forecasting. An AI model can analyze client financial data and identify unusual transactions or trends, alerting accountants to potential issues. 

What AI Does Not Replace: The Human Judgment Factor

Despite AI’s amazing potential, there are crucial areas of accounting that technology should not (and cannot) replace. Accounting is, at its core, a profession of judgment, ethics, and trust – all elements that require a human touch. 

Professional judgment and expertise: AI doesn’t have the background, skepticism, or experience that accountants do. Experienced accountants can comprehend unclear legislation, apply accounting standards to new scenarios, and make difficult transaction decisions. AI can propose or offer facts, but ultimate judgments like audit opinions or tax positions require human skill and accountability. 

Ethics and skepticism: Accountants must follow strong ethical guidelines and take care. AI lacks ethics and skepticism. Fraud detection requires questioning and verifying facts with a healthy doubt, not merely noticing irregularities. A human auditor must determine if an unusual pattern is fraudulent or not. Human monitoring is needed to check AI outputs since algorithms can make mistakes or “hallucinate”. 

Client relationships and communication: Accounting often involves talking to and working directly with clients. In uncertain times, clients rely on their trusted advisors to look at the numbers, explain options, and put their minds at ease. AI cannot replace the trust and understanding CPAs build with clients. When a business has to make a tough financial decision, they want a human advisor who can listen to its concerns and tailor advice to the specific situation.

Strategic thinking and creativity: AI can evaluate data effectively but not innovate or think strategically. Accounting firms must develop strategies, solve difficult financial problems, and solve client problems creatively. AI might show that a client’s costs are going up, but accountants need to be creative and think outside the box to find the best pathway forward. AI works with people to quickly analyze data and give them information that helps them make those decisions. Then, people use their judgment and creativity to choose the best course of action.

So how does my firm get started?

In general, AI should handle tasks, not responsibilities. By automating routine tasks, AI lets accountants use their most valuable human skills, such as judgment, ethical reasoning, communication, and strategic insight.

The bottom line is that AI can be a powerful ally in solving the accounting labor shortage, but success requires choosing the right tools and using them wisely. Start by addressing your firm’s pain points with proven AI solutions – whether that’s automating a tedious workflow or augmenting your team’s analysis – and ensure you maintain robust human oversight. With a thoughtful strategy, accounting firm leaders can harness AI to not only fill the labor gap but also to transform their firms for the better: boosting efficiency, enhancing services, and making the profession more attractive for the next generation of talent.

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Accounting

SEC’s Semiannual Reporting Proposal Faces Investor Pushback: What CFOs Need to Know

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U.S. Securities and Exchange Commission (SEC)

A proposal from the U.S. Securities and Exchange Commission to potentially shift some public companies away from quarterly financial reporting toward a semiannual model is drawing significant pushback from investors, even as it continues moving through the regulatory process. The debate has direct implications for corporate finance teams, auditors, and the broader transparency of U.S. capital markets.

What the SEC Proposed

According to a summary published by accounting advisory firm Cohen & Co., the SEC issued a proposed rule on May 19, 2026, aimed at simplifying financial reporting requirements for many U.S. public companies. The proposal would potentially reduce the frequency of certain mandatory disclosures from quarterly to semiannual, a structural change that has not been made to core U.S. reporting requirements in decades.

The proposal follows an extended debate within U.S. policy circles, with proponents arguing that reduced reporting frequency could lower compliance costs and free up management time for longer-term strategic planning rather than quarter-to-quarter results management.

Why Investors Are Pushing Back

Comment letters submitted in response to the proposal have been extensive, and according to Cohen & Co.’s review of the public record, investors “appear to be largely opposed” to the shift, viewing frequent interim reporting as a core benefit of U.S. capital markets relative to other jurisdictions.

Accounting and law firms have taken a more measured position, generally urging any changes to remain aligned with the Financial Accounting Standards Board (FASB), whose existing disclosure requirements and guidance are built around a quarterly reporting cadence. A shift to semiannual reporting without corresponding changes to FASB guidance could create friction between SEC filing requirements and GAAP-based disclosure expectations.

Lessons From the U.K. Experience

The debate is not without precedent. The United Kingdom moved away from mandatory quarterly reporting for listed companies in 2014, returning to a semiannual disclosure requirement. According to Cohen & Co.’s analysis, that experience offers a cautionary data point: there was no measurable increase in capital expenditure or R&D investment following the change, while analyst coverage of affected companies declined as reliable interim information became less available — a particular risk for smaller and newly public companies that rely on analyst coverage to maintain investor visibility.

Practical Implications for Finance Teams

Beyond the debate over disclosure philosophy, the proposal carries practical complications. Many companies have debt covenants and credit agreements structured around quarterly financial delivery; a shift to semiannual reporting could require renegotiating those terms. Reduced reporting frequency would also extend the “window of market silence” between disclosures, a factor that governance and investor-relations teams would need to manage carefully to avoid information asymmetry.

Separately, and unrelated to the reporting-frequency debate, the SEC and FASB have continued finalizing more routine updates this year. New Accounting Standards Updates are taking effect for December 31, 2026, fiscal year-ends covering income tax disclosures, credit loss measurement, induced debt conversions, and stock compensation, according to Eide Bailly’s review of 2026 ASU activity. Additional guidance on paid-in-kind dividends and environmental credits is also on the near-term horizon.

What to Watch Next

The semiannual reporting proposal remains in the comment and review phase, and no final rule has been adopted as of this writing. Finance leaders should monitor the SEC’s regulatory agenda for further movement, while treating the current quarterly reporting requirement as the operative standard until any final rule is issued and an effective date is set.

Given the extent of investor opposition documented in the comment file, a full shift to mandatory semiannual reporting appears more likely to result in either a scaled-back compromise or continued study rather than swift adoption — though the SEC’s ultimate direction remains uncertain.

 

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Accounting

AI-Driven Automation and Continuous Accounting Frameworks

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The accounting profession is undergoing a fundamental structural transition as enterprise finance departments shift from periodic month-end closes toward automated continuous accounting models. By integrating specialized machine learning algorithms directly into enterprise resource planning (ERP) platforms, chief accounting officers are transforming financial reporting from a retrospective exercise into a real-time operational asset.

The Shift from Periodic Close to Continuous Financial Reporting
Traditional accounting workflows heavily relied on manual data reconciliation, spreadsheet calculations, and multi-week closing cycles at the end of each fiscal period. In contrast, continuous accounting frameworks utilize automated software agents to process, validate, and post transactional data in real time as business activities occur.

Automated bank reconciliation tools cross-reference incoming bank feeds, invoice records, and purchase orders automatically. By resolving transactional variances instantly throughout the month, corporate accounting teams eliminate the traditional workload spikes associated with quarterly and annual closes.

Machine Learning in Audit Trails and Anomaly Detection
Advanced natural language processing (NLP) and machine learning tools are redefining internal audit and financial control environments. Automated systems analyze 100% of general ledger entries, identifying anomalous transactions, duplicate payments, and unauthorized journal entries in real time.

Rather than relying on random statistical sampling, corporate internal auditors can focus their attention on high-risk flags automatically surfaced by algorithmic monitoring platforms. This continuous risk assessment strengthens internal controls over financial reporting (ICFR) and significantly reduces fraud risk.

Evolving Roles for Accounting Professionals
As routine data entry and manual reconciliation tasks become fully automated, the skill set required for accounting professionals is shifting toward data analysis, system design, and strategic business advisory.
– Systems Governance: Accountants are increasingly responsible for monitoring algorithmic accuracy and managing data integration pipelines.
– Business Partnership: Finance professionals leverage real-time financial dashboards to advise operational leaders on margin management and working capital allocation.
– Regulatory Compliance Management: Accounting teams utilize automated platforms to ensure compliance with dynamic tax codes and international accounting standards.

Core Implementation Recommendations
1. Deploy Automated Reconciliation Tools: Integrate continuous transaction processing modules into existing enterprise ERP architectures.
2. Establish Algorithmic Governance Controls: Implement strict internal testing protocols to ensure automated accounting rules comply with GAAP/IFRS standards.
3. Reskill Accounting Teams: Invest in training finance staff on data analytics, workflow automation, and predictive financial modeling.

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Accounting

Global ESG Reporting Standards and Double Materiality Compliance

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Corporate accounting departments face expanding reporting expectations as international sustainability disclosure standards achieve regulatory enforcement across major global jurisdictions. Chief Accounting Officers (CAOs) and corporate controllers are establishing rigorous internal accounting controls to treat Environmental, Social, and Governance (ESG) metrics with the same data precision, auditability, and governance as traditional financial statements.

Regulatory Harmonization Under Global Sustainability Frameworks
The implementation of standardized sustainability reporting frameworks—notably rules established by international sustainability accounting boards—has created unified expectations for public and large private enterprises. Corporations must report standardized metrics covering greenhouse gas emissions (Scope 1, 2, and material Scope 3), energy utilization, workforce demographics, and supply chain governance.

In Europe and other participating international jurisdictions, double materiality principles are mandatory. Under double materiality, organizations must report both how external sustainability risks impact corporate financial performance, and how internal corporate operations affect surrounding environmental and social structures.

Integrating Sustainability Metrics into Core ERP Systems
To provide auditable non-financial data, enterprise organizations are integrating specialized carbon accounting and ESG management platforms directly into core ERP systems. Automated data collectors capture energy utility invoices, logistics fuel consumption metrics, and vendor compliance records in real time.

Establishing automated, traceable data pipelines ensures that non-financial reporting is supported by clear audit trails. This structured approach allows external financial auditors to provide reasonable assurance on sustainability disclosures during annual corporate reporting cycles.

Financial Impacts and Capital Market Disclosure
Accurate ESG reporting directly influences corporate cost of capital and institutional credit ratings. Commercial lenders and institutional asset managers systematically incorporate sustainability metrics into risk pricing models. Companies that demonstrate transparent, verifiable progress in operational energy efficiency and climate risk mitigation benefit from expanded access to green bond markets and lower debt pricing.

Action Steps for Accounting Leadership
1. Implement Double Materiality Frameworks: Conduct comprehensive assessments to identify material financial and operational sustainability metrics.
2. Build Auditable Non-Financial Data Pipelines: Automate ESG data collection within core accounting software to ensure data integrity.
3. Align Sustainability with Annual Financial Filings: Prepare non-financial disclosures concurrently with financial statements to satisfy regulatory audit expectations.

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