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AI automation shifts staff training

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(This is the second of a two-part series about the effect of AI and automation on fundamental skills. Part 1 can be found here.) 

In an age where the kinds of repetitive, manual, compliance-driven work is increasingly automated by AI, firms have had to rethink their approach to recruitment and training to ensure their new hires can still learn the foundational skills they’ll need to perform higher value work. 

Traditionally someone new to a firm would have a short onboarding period followed by years and years of on-the-job training alongside a more experienced professional. Over time, repetition plus experience would, on an ideal level, eventually produce a skilled professional who can then go on to perform higher value advisory work. While there were many differences of opinion among sources, all agreed that this old model no longer works for today’s era. With AI rapidly taking over the repetitive compliance-driven work new hires used to do, everyone we talked to agreed that firms need new approaches. 

“[Foundational technical skills are] still important, and so we still have to train on it, but I think it’ll be less about on the job training. Historically, when you came up in a public accounting firm, it was a lot of on the job learning. You learn by doing. But if the technology is eliminating the doing part, then the learning has to change too,” said Hrishikesh Pippadipally, chief information officer at top 100 firm Wiss and Coo.

While it might be easy to lay the blame for this entirely on AI, Avani Desai, CEO of top 50 firm Schellman, felt that was too simple. In her view it is not so much the technology that is the issue but that training and education have not kept up with the technology. If people are not developing foundational skills because of automation, and if those skills remain important for professionals, it is incumbent on the firm to bring new hires up to speed, which she understands may take some time. 

“I don’t think tech is actually the problem. I think it is the lack of structured training. When you go to a big place like an accounting firm, you get about one week of onboarding, maybe two weeks. I think we’re gonna have to do 12 weeks of onboarding, 18 weeks of onboarding, to actually train on those lower level skills.” 

She was describing something very close to Schellman’s own model, with Desai saying new hires are flown to its office in Columbus, Ohio (opened in 2022) for 18 weeks of classroom style training, paired with 52 weeks of on the job training with a mentor. She conceded that it was a big investment, and an expensive one as “the first 18 weeks are not chargeable,” which does somewhat limit scalability. 

“You can teach lower level control testing. You can teach reconciliation, if you have to. But again, 12 to 18 weeks, it’s a big investment, and so our classes are small. We have fewer than 25 people. If you go to firms that have hundreds of people on board, it becomes difficult,” she said. 

But beyond the raw skills, the training also emphasizes critical thinking and judgment. When AI handles most of the basic tasks, the human needs to be able to vet the tools, evaluate the outputs, and be able to understand the wider context behind the data. This means training also includes things like communication and asking the right questions, curiosity for finding out the whys behind the whats, and observation for finding things that don’t quite fit. 

“We really need structured, tech enabled training paths that teach both how to do it and why to do it. That’s more of a people process, less of a tech. And tech isn’t going to solve it. Giving someone five different pieces of tech and saying, ‘Go out and do it’, they could say, ‘Okay, I pressed these buttons.’ But again, you have to go deeper. Why am I pressing these buttons? And what is happening, and what’s the analysis that I need to do? So it’s both how and why,” she said. 

This is part of a wider trend towards emphasizing the non-technical skills for new hires, with pretty much everyone mentioning the need especially for critical thinking and skepticism. Yolanda Seals-Coffield, PwC U.S.’s chief people and inclusion officer, mentioned it when discussing things like intensifying mentorship and apprenticeship on the job combined with practical simulations and digital training. The goal is to impart not just the foundational skills but the critical thinking to apply them to higher value work, which can involve a blend of hands on work, team coaching, AI enabled tools and close mentorship. 

“You are spending time with the people that you work with, who are making sure you understand the ‘why.’ You’re not just [using] the output of what AI is giving you… We need to make sure that people understand why it is happening,” she said. 

While this happens naturally throughout the workday, she added that “we will have to be even more intentional than it was before.” 

Stephanie Ringrose, a partner with California-based Navolio and Tallman, similarly stressed the importance of critical thinking skills in today’s era, gearing the firm’s training to go beyond just technical abilities. 

“We’re going to build on that, to give you technology as a layer to help you now understand and evaluate. We’re going to focus your training more on ‘does this make sense? What is the judgment? What is the critical thinking behind it?'” she said. 

Ringrose added that, at her own firm, while they have a lot of AI-enabled tools, there’s still a lot of work that must be done by a human and so having those core skills remains vital. While the AI handles a lot of returns, humans are still trained on how to fill them in themselves so that they can both do the work AI perform as well as understand the AI’s outputs. 

Pippadipally, from Wiss, said learning involves working side-by-side with a team, but in addition to that the firm also emphasizes self-directed learning through digital resources. Taken together, he said, professionals can both learn proactively but also have others to support them. 

“And so having learning that’s on the job and side by side with a team, but also having learning that’s recorded that you can reference back to… even if we’re not together.”

Joy Taylor, managing director of Texas-based alliantConsulting, said the learning process needs to happen well before someone is hired at a firm in the first place. She said that, over time, college education might focus more on giving students practical experience to be ready on their first day. In contrast, she said, recent graduates often find that there’s a vast gulf between what they learned in school and what they’re expected to know at work. While every educator aims to narrow this gap, Taylor felt it will be especially important as AI takes on more mundane tasks. She also anticipated that internship programs may also get more rigorous. 

“I envision in the future that professional services companies, instead of hiring right out of college and having summer intern programs, making those summer intern programs even more robust and possibly have a stronger relationship with universities building out programs such that students in school are actually getting the experience that we used to get after we got the job. I think there’s going to be some advanced relationships in the pipeline, development starting closer in the college in a freshman, sophomore, junior, senior experience, versus waiting for a six week summer intern just to gain a little bit of experience,” she said. 

But this brings us to the original problem: the pipeline. Fewer students are pursuing the field, which raises the question of how many people would actually be in this revamped system. This is partially addressed by embracing alternative staffing models, fractional roles and other ideas that try to go past the traditional firm model. But she also said students also need to be made more aware of the cultural changes in the profession, emphasizing the strategy-forward nature of many firms today. 

“I really lean in very much on even career rebranding. I think accounting is facing a crisis right now because of the challenges of becoming an accountant. Maybe we need to rebrand it, emphasizing the strategic. Let’s strategy do the heavy lifting, instead of it feeling like it’s a bookkeeping service, because that’s not what people [want to do] anymore. What they’re using those professional services for is the strategic tax and accounting and programs that can be set up to benefit individual users and businesses,” she said. 

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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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