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Study finds accountants slow to adopt gen AI tools

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When asked to rate how much they use generative AI tools on a scale from 1-10, accountants rated their overall use at 1.56, indicating a very low adoption of the new technology. 

This is according to a recent paper that appeared in Accounting Horizons, authored by University of Miami academics Mark Ross and James Zhang. The data was drawn from 136 practitioners who completed a survey about generative AI usage. It found that not only did accounting professionals rate their overall usage of generative AI at 1.56, they rated its current use in their jobs at only 0.990. This was despite poll respondents generally agreeing that their organizations were at least somewhat encouraging of their use of these tools for appropriate tasks, rating this at 4.390. 

This tracks with another finding in the data: compared with lower level employees, leaders displayed a much stronger intention to use generative AI, and they perceive the technology as overall more useful. They also find it easier to use. 

The data also found that those in public accounting firms are more likely to plan to use generative AI in the future but, at the same time, staff don’t seem very enthusiastic about it, as their attitudes on the technology is lower than it is for those in other organizations. The researchers theorized that this is due to the highly regulated nature of public accounting, particularly around the vast amounts of confidential client information they maintain. 

Of those who are using generative AI, it was primarily to draft memos, reports and emails as well as to research technical issues like Treasury regulations or GAAP standards and identify best practices for administrative or business tasks. 

The study’s results stand in contrast to data from other, similar surveys. While the survey took place last summer, other surveys from the same time showed a higher use rate. Around August of last year, Earmark CPE founder Blake Oliver at the time noted that 50% of executives stated they are currently using AI in their finance and tax departments already. Meanwhile, in December, another survey found that 83% of corporate tax and auditing professionals were aware of AI use in their own workplace. A Karbon study that polled accounts around November also found that those not using AI at all numbered just 22%. 

However, wild swings in data from one study to the next does not seem very unusual when it comes to AI. For instance, while this QuickBooks survey says 98% of accountants are using AI, and a KPMG one shows 72% are working it into their financial reporting process, a RightWorks poll found 72% of accountants are not using AI and have no plans to in the future. 

In an email, Zhang, one of the study’s authors, theorized that differences between their data and others might come down to their sample, which came from members of state CPA societies, and so overrepresents public accountants in professional organizations; in contrast, the term ‘accountant’ is very broad and includes many different kinds of professionals, and so “different studies use different samples to proximate accountants but none is unbiased, resulting in differences in conclusions.” 

He also noted that his own paper was subjected to three rounds of intense double-blind peer review, as it was published in an ABDC A-ranked journal. Other less formal studies may not have gone through the same review process as them. He said he believes the study is the first professional survey study on accountants’ usage of Gen AI. 

There is also the issue that, sometimes, what exactly a survey means by AI can be vague. While generative AI is a specific thing, accountants have been using AI systems in general for a long time. To make sure the conclusions are clear, he said, the study has to define what it really means by AI. 

For the authors’ own part, they used “ChatGPT” throughout the paper just as an example to represent Gen AI tools overall, given its popularity.

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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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