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AI Leaders on: 2025 and AI regulation

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While AI is still in the wild west phase that many new technologies go through, as the technology has spread there have been increasing calls from both organizations and individuals to make the field slightly less wild. Not so much that it completely kills the innovation and vibrancy of this burgeoning field, but enough that series players will feel safe entering this space without being worried they’re putting themselves at risk. 

In particular, our experts are interested in measures that can improve the transparency and accountability of AI systems, such as clear labeling of AI-generated content, the ability to trace the model’s decision-making process, and disclosure of the data and algorithms involved. There was also strong support for ensuring these systems are explainable and, especially important for the accounting community, auditable. 

“An AI regulation that emphasizes transparency in the training of large language models (LLMs) would be highly beneficial. Understanding how these models are trained, including the data sources and methodologies used, is crucial for ensuring accountability and trust in AI systems. This transparency would be particularly advantageous in fields like accounting, where leveraging AI to enhance audit quality requires a clear understanding of how AI decisions are made,” said Mike Gerhard, chief data and AI officer with BDO USA. 

Respondents also expressed strong support for regulations aligned with principles-based or risk-based approaches, such as the EU AI Act, which focus on safety, fairness and non-discrimination while still providing space for innovation. This is especially important given the stakes involved with AI’s ascendency, especially for traditionally marginalized communities. 

“I believe we need to get ahead of the eight ball when it comes to the ethical issues stemming from AI’s inherent bias problem. When we let AI perform tasks such as sifting through resumes, making creditworthiness decisions, or assessing job interviews, we ought to be sure it does so without (hidden) biases. Part of this problem is on the vendor side, but part of this ought to be codified (and thus protected) by law,” said Pascal Finette, founder and CEO of training and advisory firm Be Radical. 

At the same time, virtually everyone cautioned against going too hard on regulation, especially at this early stage of the technology’s evolution.

“As further governance emerges, I hope we don’t see overly restrictive rules that stifle creativity and progress. Rather, I’d love to see further regulations that strike the right balance between ensuring the ethical and secure use of AI while encouraging innovation. Public-private partnerships and feedback loops from organizations doing the assessments will be crucial in getting that right,” said Avani Desai, CEO of Top 50 firm Schellman.

Will we see more focus on AI regulation in 2025? Well, the only thing we know for sure is we don’t know anything for sure. But we can make educated guesses. While no one outright said we’d definitely see new regulations rolled out, some predicted scandals that would likely draw attention to the need for further oversight for AI systems. 

“AI’s capability will continue to evolve. The cost of using AI (e.g., Open AI’s API service) will continue to go down. There will be more AI applications. At the same time, we will also see more AI-related negative incidents, particularly those that raise important ethical concerns and debates,” said Abigail Zhang-Parker, an accounting professor at the University of Texas at San Antonio. 

Overall, when asked for their most confident predictions, many said the widespread integration of AI into workflows will accelerate, especially given the rising prevalence of autonomous AI agents with limited decision-making power. The rise of these virtual workers are widely predicted to increase productivity and efficiency at firms. At the same time, some experts warned how this might shift employment dynamics, as well as increase risk of ethical dilemmas. 

“I am confident that AI will either reduce the number of new hires the largest accounting firms plan to hire or lead to further staff reductions, if not both. The largest firms have planned for this stage of AI for years and they thought this day would come sooner. They know they can do more with less. I’m also quite confident we’ll see a scandal where a firm misuses AI or subjugates its judgment to AI that leads to a fraud or material error getting through an audit.  We’ve already seen this occur in the legal field. It’s only a matter of time until it happens to an accounting firm,” said Jack Castonguay, a Hofstra University accounting professor and the vice president of learning and development at Surgent. 

In this, the second of three parts, we look at our experts’ answers to: 

  • What is an AI regulation you’d love to see? What is an AI regulation you’d hate to see?
  • What AI prediction for 2025 are you most certain of? Something you are very confident we’ll all see next year?

We’ll have our third and final part—where we get into one of the more esoteric aspects of AI—next week.

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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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