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Using AI will solve old drudgery, introduce new drudgery for accountants

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We’ve all heard the claims by now that artificial intelligence is going to completely revolutionize the accounting profession. Already it is automating away those routine, manual processes that no one liked doing in the first place, and as it grows more sophisticated, the complexity of tasks the technology will be able to manage will only grow. With bots handling all the drudgery, the human accountants will be free to do only the things that interest and engage them. 

The problem is that we’ve seen this before. Accounting is no stranger to technological advancements, and while new technologies have indeed transformed the profession many times over generations, unpleasant drudge work has somehow remained a reality. Part of this is because, historically, technological solutions have tended to solve some problems while, at the same time, creating others which are themselves eventually solved by new technologies that, themselves, create new problems of their own, which must then be solved by the next generation of technology, and so on. 

For generations, accountants hand-filled their spreadsheets; go back far enough, and they used feather quills to do so. Then came the personal computer with the electronic spreadsheet, allowing them to quickly type that which they used to have to painstakingly write out, and what’s more it allowed them to modify these documents instantly — before then, they’d have needed to carefully apply whiteout or even start over entirely. The computer saved so much time and effort, transforming the profession and how it worked. 

Drudgery

But over time, accountants realized, it created work too. While keying in rows of Excel data was certainly faster and easier than writing by hand, it was still a repetitive, mundane and overall boring task that mainly was done by lower-level associates. While the old drudgery was gone, the new drudgery was ascendant, and soon eventually accountants came to dread having to fill cells, inspect for errors, maintain macros, troubleshoot equations, and listen to their computers groan beneath the weight of far-too-large data sets. People thought, ‘Wouldn’t it be nice to automate all this?’

So they did. The profession saw a push for automation that could take over this new drudgery, whether in the form of dedicated solutions or robotic process automation. Powered by sophisticated computer algorithms that fed on big data, business and accounting automation was presented as the thing that would liberate accountants from the drudgery of manual processes that ate up so much of an accountant’s day. Now we see most of the simple, routine tasks — often compliance-based — that used to dominate accounting work now being handled by software, automating away the boring stuff so the humans could concentrate on the things that really matter, like client engagement. 

Of course, over time, people have found that these automations can create their own sort of drudgery too. Yes, they can automatically process invoices or update the general ledger, but now they have to format the data fueling the automation, maintain the databases that hold this information, integrate disparate systems into a cohesive whole, make sure everything is patched and updated, and troubleshoot when (not if — when) things go wrong. 

Enter generative AI. Rather than setting up complicated integrations between systems, cludging them together into a unified workflow, accountants can now tell generative AI to do it for them. While still in the early stages, the technology has advanced rapidly in a short time, and what began as something only for drafting marketing copy is becoming a powerful tool for automation that can be run not on arcane command codes but simple natural language. Instead of navigating through tabs and menus to, say, draft an engagement letter, accountants can tell a gen AI system to just draft the letter. AI can handle all these routine, mundane, boring, repetitive processes for us, while we focus on the value-added services that really matter, like consulting. 

So is that it? Have we finally reached the apogee of accounting technology? Have we truly seen the end of boring, unfulfilling, unpleasant drudgery?

If previous paradigm shifts are any indication, the answer is no. New technology will probably continue solving some problems while creating others, and it is unlikely AI will be the exception. So while there is a whole universe of contemporary problems that AI is uniquely positioned to solve, users are also opening themselves up to new annoyances, frustrations and overall unpleasant tasks they’d prefer not to do. AI may take care of a lot, but it is unrealistic to think it would one day make the job free of toil and stress. 

Moreover, one might argue that toil and stress are inherent to the very nature of jobs themselves, which essentially are things that people would not ordinarily be doing on their own — at least not in the way they’re expected to — without money.

If there was nothing stressful, nothing boring, nothing overall unpleasant or unfulfilling about a job, if it was as simple and enjoyable as watching TV or seeing friends, it likely would not be a job in the first place. In fact, if it became something actually fun, it would quickly be recategorized as leisure, and people would have to pay to do it, instead of getting paid to do it.

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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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