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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

Continuous Auditing Transforms Corporate ERPs

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continuous auditing transforms corporate erps

As corporate accounting departments cross the threshold into late July 2026, the adoption of continuous, automated auditing systems has reached a definitive turning point. Driven by advances in artificial intelligence and deep integration with modern Enterprise Resource Planning (ERP) platforms, leading finance organizations are moving away from traditional, periodic post-hoc audits in favor of real-time, 100% transactional verification. This technological transition is redefining internal control environments, reducing compliance costs, and eliminating the structural delays inherent in legacy quarterly closing processes.

Unlike traditional auditing frameworks that rely on statistical sampling—a process that inevitably leaves operational blind spots—continuous auditing software monitors operational data feeds continuously. Every purchase order, electronic invoice, payroll disbursement, and cross-border wire transfer is automatically cross-referenced against established corporate governance parameters, regulatory tax schedules, and anti-fraud algorithms in real time. Anomalies or unauthorized ledger entries are flagged instantly, allowing internal audit teams to investigate and remediate compliance gaps immediately rather than months after the close of a financial period.

The implications for executive financial management are far-reaching. By embedding continuous verification directly into daily transaction workflows, chief financial officers gain uninterrupted visibility into the organization’s true financial standing. Real-time balance sheet auditing eliminates the severe operational bottlenecks associated with month-end and quarter-end financial reconciliations, freeing accounting professionals to focus on strategic financial modeling, tax planning, and capital allocation rather than manual data entry and spreadsheet consolidation.

However, implementing continuous auditing requires accounting leadership to invest heavily in data governance and technical upskilling. Internal audit teams must evolve from manual ledger reviewers into system architects capable of auditing complex algorithms and validating automated data pipelines. Accounting firms and corporate controllers that master continuous auditing will establish a resilient compliance framework capable of meeting stringent international regulatory standards with total transparency.

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Accounting

U.S. Imposes New 50% Tariffs on Canadian Imports Under Rare Legal Provision

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U.S. Imposes New 50% Tariffs on Canadian Imports Under Rare Legal Provision

WASHINGTON — In a major escalation of cross-border trade friction, U.S. President Donald Trump has signed executive orders imposing new 50% tariffs on a wide selection of Canadian exports, citing discriminatory practices by Ottawa targeting American auto, dairy, and beverage industries.

The new duties, announced Monday, will take effect in 30 days. They target a broad spectrum of consumer and industrial goods—ranging from wine, liquor, and milk products to commercial cement, furniture, clothing, and hockey equipment.

Untested Legal Mechanism

To enact the sweeping measures, the administration invoked Section 338 of the Tariff Act of 1930—a rarely used legal provision allowing the executive branch to levy additional tariffs of up to 50% on foreign nations deemed to discriminate against U.S. commerce.

White House officials noted that Section 338 addresses trade discrimination rather than national security or economic emergencies. The move comes months after prior global emergency tariffs faced legal challenges in domestic courts, signaling Washington’s pivot toward alternate statutory authorities to maintain import duties.

Senior administration officials briefed reporters that the measure directly responds to Canadian provincial bans on U.S. alcohol, restrictions on American vehicle exports, and import quota disparities affecting U.S. dairy and cheese producers relative to third-party trading partners.

“While the administration continues to secure reciprocal trade agreements globally, Canada retaliated against efforts to protect domestic industry,” U.S. Trade Representative Jamieson Greer stated.

USMCA Impact and Carve-Outs

Significantly, the newly ordered 50% duties will apply to designated items even if they otherwise comply with the United States-Mexico-Canada Agreement (USMCA).

However, the administration confirmed key targeted exemptions:

  • Energy products (including oil and natural gas)
  • Potash and critical minerals
  • Fish and seafood
  • Goods already governed by sector-specific duties (such as existing steel and aluminum tariffs)

Administration representatives emphasized that the tariffs do not stem from recent disputes concerning drifting Canadian wildfire smoke, noting that policy options regarding environmental spillover remain under separate review.

Canadian Response and Market Reaction

Following the White House announcement, the Canadian dollar experienced a sharp decline against the U.S. dollar, falling approximately 0.4% during evening trading.

Canadian Prime Minister Mark Carney issued a statement emphasizing that Canada’s earlier counter-duties had merely matched previous U.S. trade actions. “Canada stands ready to engage intensively to address outstanding issues with the U.S. to the mutual benefit of our citizens,” Carney stated, pointing to detailed proposals Ottawa submitted to modernize the USMCA framework.

Ontario Premier Doug Ford took a firmer stance, urging a “dollar-for-dollar” reciprocal response if the measures go into effect on August 19.

With a 30-day implementation window before the duties officially lock in, industry associations and trade groups on both sides of the border are calling for urgent bilateral negotiations to avert further supply chain disruption across North America.

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Accounting

Automated Continuous Auditing: Transforming Compliance and Real-Time Financial Oversight

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Transforming Compliance and Real-Time Financial Oversight

The traditional accounting paradigm—defined by periodic monthly closures and post-hoc annual audits—is rapidly giving way to continuous, automated financial oversight. As of July 2026, forward-thinking accounting practices and multinational corporate finance departments are leveraging continuous auditing systems powered by advanced machine learning models. These systems monitor operational transactions in real time, shifting audit methodologies from sample-based post-analysis to absolute, 100% transaction-level verification.

The operational advantages of continuous auditing are transformative. Standard auditing procedures historically relied on statistical sampling, which, despite rigorous methodology, inherently left gaps where anomalies or fraudulent transactions could go undetected for months. Modern continuous auditing platforms integrate directly with enterprise resource planning (ERP) databases, instantly cross-referencing purchase orders, invoices, bank feeds, and tax records. Any deviation from established control parameters or unusual transaction behavior triggers immediate flags for internal audit teams, dramatically reducing detection lag from quarters to seconds.

Beyond fraud prevention, continuous auditing fundamentally alters internal reporting and decision-making. Executive leadership no longer has to wait weeks after the close of a quarter to evaluate precise financial standing; real-time verified ledger data provides an uninterrupted view of operating margins, tax liabilities, and cash flow dynamics. This real-time visibility enables corporate controllers to adjust capital allocation strategies dynamically, mitigating liquidity constraints and capitalizing on emerging commercial opportunities far more efficiently than competitors bound to legacy reporting cycles.

However, implementing continuous auditing requires accounting professionals to acquire new analytical capabilities. The role of the auditor is evolving from manual data reconciliation toward system validation, algorithmic model governance, and strategic risk interpretation. Accounting firms and corporate finance departments must invest in continuous technical education, ensuring that audit staff possess the data engineering skills necessary to design, maintain, and evaluate complex automated compliance systems.

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