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19% lost $100 or more on bad AI financial advice

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A recent report has found that a significant proportion of people are following financial advice given to them by AI models, and many reported losing $100 or more from following said advice. 

This is according to a recent survey from AI-bolstered professional service platform Pearl which found, among other things, that 20% of people have acted on financial advice given to them by an AI, and 19% of people reported losing $100 or more due to following this advice, a number that jumps to 27% when considering only those from Gen Z. A spokesperson from Pearl, in an email, said it was up to the individual respondent to determine what constituted “bad advice” and the poll did not ask how they lost this money (e.g. fines and penalties, bad purchases, etc.) 

As to what kind of financial advice they are following, the poll found that 9% have acted on tax advice given to them by AI, 22% say they use AI for stock buying advice, and 21% said they’re buying cryptocurrencies based on AI suggestions. A significant proportion of respondents, 27%, believe AI can give them all the financial advice they’d ever need.

This is part of a wider trend of people turning to AI for professional services normally provided by human beings. Over the past six months, 65% of respondents said they acted on advice they got from a chatbot that they previously only trusted from a human professional. Beyond the 20% who’ve made financial decisions based on AI, 23% have turned to AI for tech support, 21% have made medical or veterinary decisions based on AI advice, and 19% followed home improvement advice from AI. Meanwhile, the poll found that many would likely follow legal advice as well, considering 31% would let an AI lawyer defend them in court if it meant zero legal fees and 28% would sign a legal document drafted entirely by AI. 

There are several reasons why people are turning to AI for sensitive advice like this. For one, professional services are seen as too expensive and so even if they wanted to talk to a human accountant about something, they believe they would not be able to afford it. Another factor is lack of access: 1 in 3, for example, say they could not reach emergency medical services within 15 minutes. Another is declining trust in experts overall. For medical professionals specifically, 22% trust social media influencers’ advice more than doctors’ advice, 23% trust AI medical advice more than doctors, and 28% trust their family’s medical advice more than doctors. We also see more people turning to social media for tax advice as well, as the IRS recently hit taxpayers with over $162 million in penalties for claiming fraudulent tax credits they heard about through social media (see previous story.)

This is despite the fact that people generally recognize that AI can make mistakes, sometimes significant ones. Only about half (54%) find current GenAI solutions like ChatGPT to be trustworthy, down from 66% in December. And yet, 61% of respondents have actively followed advice from an AI tool in the past 30 days in at least one area of professional expertise (personal finance, medical legal, etc.) What’s more, about 29% of respondents agreed

that they rarely double-check the advice given by AI. In other words, nearly a third are not verifying AI outputs with a second source.

They are paying a price for this: in addition to those who’ve lost money following AI generated financial advice, the poll also found that 22% have followed medical advice from AI that

later was proven wrong. Andy Kurtzig, founder and CEO of Pearl.com, found this to be an alarming development.  

“We’re seeing a dangerous trend of misplaced trust born from desperation. Our data shows 31% of Americans would let an AI defend them in court to avoid legal fees, a shocking statistic when Stanford research shows AIs can be wrong about basic legal facts 60-80% of the time. This isn’t just about legal issues; 23% of respondents now trust an AI’s medical advice more than a doctor. AI lacks the nuanced judgment, ethical training, and real-world experience that are essential for high-stakes situations. An algorithm can inform, but only a human professional adds the required wisdom,” said Kurtzig.

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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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